https://www.lrde.epita.fr/api.php?action=feedcontributions&user=Nboutry&feedformat=atomLRDE - User contributions [en]2024-03-29T13:35:39ZUser contributionsMediaWiki 1.35.3https://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=127160User:Nboutry2022-02-28T18:01:42Z<p>Nboutry: /* Publications */</p>
<hr />
<div>== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company called MyCO2 to work on pattern recognition. He realized his Ph.D. thesis on well-composed images from 2014 to 2016 at EPITA on the [[Olena]] project and at the [http://ligm.u-pem.fr/ LIGM] at ESIEE Paris. He is now associate professor and co-chief of the Data Science and Artificial Intelligence (SCIA) specialization at EPITA.<br />
<br />
My ''curriculum vitae'' is available [https://www.lrde.epita.fr/images/d/d3/CV_Boutry_2018.pdf HERE].<br />
<br />
== Current status ==<br />
<br />
Associate Professor (Enseignant-Chercheur) at EPITA<br />
<br />
Chief of Data Science and Artificial Intelligence (SCIA) specialization at EPITA (Responsable de la majeure SCIA de l'EPITA).<br />
<br />
* Subjects: biomedical imaging, discrete topology, mathematical morphology, deep learning, explainable artificial intelligence (xAI), quantum machine learning.<br />
<br />
* Ph.D. Student :<br />
Caroline Mazini Rodriguez<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
* Rational Databases (TP for 3rd-year students at EPITA)<br />
* Video Compression (5th-year students at EPITA)<br />
* Wavelets Theory (5th-year students at EPITA)<br />
* Deep Learning (5th-year students at EPITA)<br />
* Quantum Computing (3rd-year students at EPITA)<br />
* Matrix Calculus (3rd-year students at EPITA)<br />
* Deep learning on biomedical images (5th-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
{{Publications/AuthorList|Nicolas Boutry}}<br />
<br />
== Link to my PhD report ==<br />
<br />
[https://pastel.archives-ouvertes.fr/tel-01531035 A Study of Well-composedness in ''n''-D]</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=127159User:Nboutry2022-02-28T15:02:20Z<p>Nboutry: /* Current status */</p>
<hr />
<div>== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company called MyCO2 to work on pattern recognition. He realized his Ph.D. thesis on well-composed images from 2014 to 2016 at EPITA on the [[Olena]] project and at the [http://ligm.u-pem.fr/ LIGM] at ESIEE Paris. He is now associate professor and co-chief of the Data Science and Artificial Intelligence (SCIA) specialization at EPITA.<br />
<br />
My ''curriculum vitae'' is available [https://www.lrde.epita.fr/images/d/d3/CV_Boutry_2018.pdf HERE].<br />
<br />
== Current status ==<br />
<br />
Associate Professor (Enseignant-Chercheur) at EPITA<br />
<br />
Chief of Data Science and Artificial Intelligence (SCIA) specialization at EPITA (Responsable de la majeure SCIA de l'EPITA).<br />
<br />
* Subjects: biomedical imaging, discrete topology, mathematical morphology, deep learning, explainable artificial intelligence (xAI), quantum machine learning.<br />
<br />
* Ph.D. Student :<br />
Caroline Mazini Rodriguez<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
* Rational Databases (TP for 3rd-year students at EPITA)<br />
* Video Compression (5th-year students at EPITA)<br />
* Wavelets Theory (5th-year students at EPITA)<br />
* Deep Learning (5th-year students at EPITA)<br />
* Quantum Computing (3rd-year students at EPITA)<br />
* Matrix Calculus (3rd-year students at EPITA)<br />
* Deep learning on biomedical images (5th-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Mehta et al., ''QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results'' [https://arxiv.org/pdf/2112.10074.pdf PDF]<br />
<br />
Sekuboyina et al., ''VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images'' [https://arxiv.org/abs/2001.09193 PDF]<br />
<br />
Ali et al., ''A translational pathway of deep learning methods in GastroIntestinal Endoscopy'' [https://arxiv.org/pdf/2010.06034.pdf PDF]<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, ''Stacked and Parallel U-Nets with Multi-output for Myocardial Pathology Segmentation'' '''MICCAI MyOPS Workshop 2020'''<br />
[https://link.springer.com/chapter/10.1007%2F978-3-030-65651-5_13 PDF]<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, Thierry Géraud, ''Do not Treat Boundaries and Regions Differently: An Example on Heart Left Atrial Segmentation'' '''ICPR 2020'''<br />
[https://www.lrde.epita.fr/wiki/Publications/zhao.20.icpr.2 PDF]<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, Thierry Géraud, ''FOANet: A Focus of Attention Network with Application to Myocardium Segmentation'' '''ICPR 2020'''<br />
[https://www.lrde.epita.fr/wiki/Publications/zhao.20.icpr.1 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Equivalence between Digital Well-Composedness and Well-Composedness in the sense of Alexandrov on n-D Cubical Grids'' '''JMIV 2020''' [https://www.lrde.epita.fr/wiki/Publications/boutry.20.jmiv.2 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Topological Properties of the First Non-Local Digitally Well-Composed Interpolation on n-D Cubical Grids'' '''JMIV 2020''' [https://www.lrde.epita.fr/wiki/Publications/boutry.20.jmiv.1 PDF]<br />
<br />
Nicolas Boutry, Rocio Gonzalez-Diaz, Maria-Jose Jimenez, Eduardo Paluzo-Hildago, ''Euler Well-Composedness'', '''IWCIA 2020''' [https://iwcia2020.wordpress.com/ PDF]<br />
<br />
Alexandre Kirszenberg, Nicolas Boutry, Guillaume Tochon, Élodie Puybareau, ''VerSe 2019 Challenge'', '''MICCAI Vertebrae Segmentation Challenge'''<br />
<br />
Nicolas Boutry, Rocio Gonzalez-Diaz, Laurent Najman, Thierry Géraud, ''A 4D counter-example showing that DWCness does not imply CWCness in n-D'', '''IWCIA 2020''' [https://iwcia2020.wordpress.com/ PDF]<br />
<br />
Michael Atlan, Julie Rivet, Antoine Taliercio, Nicolas Boutry, Guillaume Tochon, Jean-Pierre Huignard, ''Experimental digital Gabor hologram rendering of C. elegans worms by a model-trained convolutional neural network', '''SPIE Photonics 2020'''<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, Thierry Géraud, ''A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images'', '''LVQuan 2019''' [http://www.lrde.epita.fr/dload/papers/zhao.19.stacom.pdf PDF]<br />
<br />
Nicolas Boutry, Joseph Chazalon, Elodie Puybareau, Guillaume Tochon, Hugues Talbot, Thierry Géraud, ''Using separated inputs for multimodal brain tumor segmentation with 3D U-Net-like architectures'', '''BraTS 2019''' [https://www.lrde.epita.fr/dload/papers/boutry.19.brats.pdf PDF]<br />
<br />
Le Duy Huynh , Nicolas Boutry , Thierry Geraud, ''Connected Filters on Generalized Shape-Spaces'','''PRL 2019''' [https://www.lrde.epita.fr/wiki/Publications/huynh.19.prl PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''An Equivalence Relation between Morphological Dynamics and Persistent Homology in 1D'', '''ISMM 2019''' [https://www.lrde.epita.fr/wiki/Publications/boutry.19.ismm PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' One more step towards well-composedness of cell complexes over nD pictures '', '''DGCI 2019''' [https://link.springer.com/book/10.1007/978-3-030-14085-4 PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''How to Make n-D Plain Maps Alexandrov-Well-Composed in a Self-dual Way'', '''JMIV 2019''' [http://www.lrde.epita.fr/dload/papers/boutry.19.jmiv.pdf PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' Weakly well-composed cell complexes over nD pictures '', '''Information Sciences 2018''' [https://www.sciencedirect.com/science/article/pii/S0020025518304481 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''A Tutorial on Well-Composedness,'' '''JMIV 2017''' [https://hal.archives-ouvertes.fr/hal-01609892/file/article.pdf PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in Z^n,'' '''DGCI 2017''' [https://hal.archives-ouvertes.fr/hal-01586418/document PDF]<br />
<br />
Edwin Carlinet, Yongchao Xu, Nicolas Boutry, Thierry Géraud, ''La pseudo-distance du Dahu, '' '''ORASIS 2017''' [https://www.lrde.epita.fr/wiki/Publications/carlinet.17.orasis PDF]<br />
<br />
Thierry Géraud, Yongchao Xu, Edwin Carlinet, Nicolas Boutry, ''Introducing the Dahu Pseudo-Distance,'' '''ISMM''' [https://www.lrde.epita.fr/wiki/Publications/geraud.17.ismm PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''About the equivalence between AWCness and DWCness,'' '''HAL 2016''' [https://hal-upec-upem.archives-ouvertes.fr/hal-01375621/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation,'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])<br />
<br />
== Link to my PhD report ==<br />
<br />
[https://pastel.archives-ouvertes.fr/tel-01531035 A Study of Well-composedness in ''n''-D]</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=127053User:Nboutry2022-01-08T20:55:00Z<p>Nboutry: </p>
<hr />
<div>== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company called MyCO2 to work on pattern recognition. He realized his Ph.D. thesis on well-composed images from 2014 to 2016 at EPITA on the [[Olena]] project and at the [http://ligm.u-pem.fr/ LIGM] at ESIEE Paris. He is now associate professor and co-chief of the Data Science and Artificial Intelligence (SCIA) specialization at EPITA.<br />
<br />
My ''curriculum vitae'' is available [https://www.lrde.epita.fr/images/d/d3/CV_Boutry_2018.pdf HERE].<br />
<br />
== Current status ==<br />
<br />
Associate Professor (Enseignant-Chercheur) at EPITA<br />
<br />
Co-chief of Data Science and Artificial Intelligence (SCIA) specialization at EPITA (Co-responsable de la majeure SCIA de l'EPITA).<br />
<br />
* Subjects: biomedical imaging, discrete topology, mathematical morphology, deep learning, explainable artificial intelligence (xAI), quantum machine learning.<br />
<br />
* Ph.D. Student :<br />
Caroline Mazini Rodriguez<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
* Rational Databases (TP for 3rd-year students at EPITA)<br />
* Video Compression (5th-year students at EPITA)<br />
* Wavelets Theory (5th-year students at EPITA)<br />
* Deep Learning (5th-year students at EPITA)<br />
* Quantum Computing (3rd-year students at EPITA)<br />
* Matrix Calculus (3rd-year students at EPITA)<br />
* Deep learning on biomedical images (5th-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Mehta et al., ''QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results'' [https://arxiv.org/pdf/2112.10074.pdf PDF]<br />
<br />
Sekuboyina et al., ''VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images'' [https://arxiv.org/abs/2001.09193 PDF]<br />
<br />
Ali et al., ''A translational pathway of deep learning methods in GastroIntestinal Endoscopy'' [https://arxiv.org/pdf/2010.06034.pdf PDF]<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, ''Stacked and Parallel U-Nets with Multi-output for Myocardial Pathology Segmentation'' '''MICCAI MyOPS Workshop 2020'''<br />
[https://link.springer.com/chapter/10.1007%2F978-3-030-65651-5_13 PDF]<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, Thierry Géraud, ''Do not Treat Boundaries and Regions Differently: An Example on Heart Left Atrial Segmentation'' '''ICPR 2020'''<br />
[https://www.lrde.epita.fr/wiki/Publications/zhao.20.icpr.2 PDF]<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, Thierry Géraud, ''FOANet: A Focus of Attention Network with Application to Myocardium Segmentation'' '''ICPR 2020'''<br />
[https://www.lrde.epita.fr/wiki/Publications/zhao.20.icpr.1 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Equivalence between Digital Well-Composedness and Well-Composedness in the sense of Alexandrov on n-D Cubical Grids'' '''JMIV 2020''' [https://www.lrde.epita.fr/wiki/Publications/boutry.20.jmiv.2 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Topological Properties of the First Non-Local Digitally Well-Composed Interpolation on n-D Cubical Grids'' '''JMIV 2020''' [https://www.lrde.epita.fr/wiki/Publications/boutry.20.jmiv.1 PDF]<br />
<br />
Nicolas Boutry, Rocio Gonzalez-Diaz, Maria-Jose Jimenez, Eduardo Paluzo-Hildago, ''Euler Well-Composedness'', '''IWCIA 2020''' [https://iwcia2020.wordpress.com/ PDF]<br />
<br />
Alexandre Kirszenberg, Nicolas Boutry, Guillaume Tochon, Élodie Puybareau, ''VerSe 2019 Challenge'', '''MICCAI Vertebrae Segmentation Challenge'''<br />
<br />
Nicolas Boutry, Rocio Gonzalez-Diaz, Laurent Najman, Thierry Géraud, ''A 4D counter-example showing that DWCness does not imply CWCness in n-D'', '''IWCIA 2020''' [https://iwcia2020.wordpress.com/ PDF]<br />
<br />
Michael Atlan, Julie Rivet, Antoine Taliercio, Nicolas Boutry, Guillaume Tochon, Jean-Pierre Huignard, ''Experimental digital Gabor hologram rendering of C. elegans worms by a model-trained convolutional neural network', '''SPIE Photonics 2020'''<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, Thierry Géraud, ''A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images'', '''LVQuan 2019''' [http://www.lrde.epita.fr/dload/papers/zhao.19.stacom.pdf PDF]<br />
<br />
Nicolas Boutry, Joseph Chazalon, Elodie Puybareau, Guillaume Tochon, Hugues Talbot, Thierry Géraud, ''Using separated inputs for multimodal brain tumor segmentation with 3D U-Net-like architectures'', '''BraTS 2019''' [https://www.lrde.epita.fr/dload/papers/boutry.19.brats.pdf PDF]<br />
<br />
Le Duy Huynh , Nicolas Boutry , Thierry Geraud, ''Connected Filters on Generalized Shape-Spaces'','''PRL 2019''' [https://www.lrde.epita.fr/wiki/Publications/huynh.19.prl PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''An Equivalence Relation between Morphological Dynamics and Persistent Homology in 1D'', '''ISMM 2019''' [https://www.lrde.epita.fr/wiki/Publications/boutry.19.ismm PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' One more step towards well-composedness of cell complexes over nD pictures '', '''DGCI 2019''' [https://link.springer.com/book/10.1007/978-3-030-14085-4 PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''How to Make n-D Plain Maps Alexandrov-Well-Composed in a Self-dual Way'', '''JMIV 2019''' [http://www.lrde.epita.fr/dload/papers/boutry.19.jmiv.pdf PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' Weakly well-composed cell complexes over nD pictures '', '''Information Sciences 2018''' [https://www.sciencedirect.com/science/article/pii/S0020025518304481 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''A Tutorial on Well-Composedness,'' '''JMIV 2017''' [https://hal.archives-ouvertes.fr/hal-01609892/file/article.pdf PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in Z^n,'' '''DGCI 2017''' [https://hal.archives-ouvertes.fr/hal-01586418/document PDF]<br />
<br />
Edwin Carlinet, Yongchao Xu, Nicolas Boutry, Thierry Géraud, ''La pseudo-distance du Dahu, '' '''ORASIS 2017''' [https://www.lrde.epita.fr/wiki/Publications/carlinet.17.orasis PDF]<br />
<br />
Thierry Géraud, Yongchao Xu, Edwin Carlinet, Nicolas Boutry, ''Introducing the Dahu Pseudo-Distance,'' '''ISMM''' [https://www.lrde.epita.fr/wiki/Publications/geraud.17.ismm PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''About the equivalence between AWCness and DWCness,'' '''HAL 2016''' [https://hal-upec-upem.archives-ouvertes.fr/hal-01375621/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation,'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])<br />
<br />
== Link to my PhD report ==<br />
<br />
[https://pastel.archives-ouvertes.fr/tel-01531035 A Study of Well-composedness in ''n''-D]</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=127052User:Nboutry2022-01-08T20:54:28Z<p>Nboutry: </p>
<hr />
<div>== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company called MyCO2 to work on pattern recognition. He realized his Ph.D. thesis on well-composed images from 2014 to 2016 at EPITA on the [[Olena]] project and at the [http://ligm.u-pem.fr/ LIGM] at ESIEE Paris. He is now associate professor and co-chief of the Data Science and Artificial Intelligence (SCIA) specialization at EPITA.<br />
<br />
My ''curriculum vitae'' is available [https://www.lrde.epita.fr/images/d/d3/CV_Boutry_2018.pdf HERE].<br />
<br />
== Current status ==<br />
<br />
Associate Professor (Enseignant-Chercheur) at EPITA<br />
<br />
Co-chief of Data Science and Artificial Intelligence (SCIA) specialization at EPITA (Co-responsable de la majeure SCIA de l'EPITA).<br />
<br />
* Subjects: biomedical imaging, discrete topology, mathematical morphology, deep learning, explainable artificial intelligence (xAI), quantum machine learning.<br />
<br />
* Ph.D. Student :<br />
Caroline Mazini Rodriguez<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
* Rational Databases (TP for 3rd-year students at EPITA)<br />
* Video Compression (5th-year students at EPITA)<br />
* Wavelets Theory (5th-year students at EPITA)<br />
* Deep Learning (5th-year students at EPITA)<br />
* Quantum Computing (3rd-year students at EPITA)<br />
* Matrix Calculus (3rd-year students at EPITA)<br />
* Deep learning on biomedical images (5th-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Mehta et al., ''QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results'' [https://arxiv.org/pdf/2112.10074.pdf]<br />
<br />
Sekuboyina et al., ''VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images'' [https://arxiv.org/abs/2001.09193 PDF]<br />
<br />
Ali et al., ''A translational pathway of deep learning methods in GastroIntestinal Endoscopy'' [https://arxiv.org/pdf/2010.06034.pdf PDF]<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, ''Stacked and Parallel U-Nets with Multi-output for Myocardial Pathology Segmentation'' '''MICCAI MyOPS Workshop 2020'''<br />
[https://link.springer.com/chapter/10.1007%2F978-3-030-65651-5_13 PDF]<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, Thierry Géraud, ''Do not Treat Boundaries and Regions Differently: An Example on Heart Left Atrial Segmentation'' '''ICPR 2020'''<br />
[https://www.lrde.epita.fr/wiki/Publications/zhao.20.icpr.2 PDF]<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, Thierry Géraud, ''FOANet: A Focus of Attention Network with Application to Myocardium Segmentation'' '''ICPR 2020'''<br />
[https://www.lrde.epita.fr/wiki/Publications/zhao.20.icpr.1 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Equivalence between Digital Well-Composedness and Well-Composedness in the sense of Alexandrov on n-D Cubical Grids'' '''JMIV 2020''' [https://www.lrde.epita.fr/wiki/Publications/boutry.20.jmiv.2 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Topological Properties of the First Non-Local Digitally Well-Composed Interpolation on n-D Cubical Grids'' '''JMIV 2020''' [https://www.lrde.epita.fr/wiki/Publications/boutry.20.jmiv.1 PDF]<br />
<br />
Nicolas Boutry, Rocio Gonzalez-Diaz, Maria-Jose Jimenez, Eduardo Paluzo-Hildago, ''Euler Well-Composedness'', '''IWCIA 2020''' [https://iwcia2020.wordpress.com/ PDF]<br />
<br />
Alexandre Kirszenberg, Nicolas Boutry, Guillaume Tochon, Élodie Puybareau, ''VerSe 2019 Challenge'', '''MICCAI Vertebrae Segmentation Challenge'''<br />
<br />
Nicolas Boutry, Rocio Gonzalez-Diaz, Laurent Najman, Thierry Géraud, ''A 4D counter-example showing that DWCness does not imply CWCness in n-D'', '''IWCIA 2020''' [https://iwcia2020.wordpress.com/ PDF]<br />
<br />
Michael Atlan, Julie Rivet, Antoine Taliercio, Nicolas Boutry, Guillaume Tochon, Jean-Pierre Huignard, ''Experimental digital Gabor hologram rendering of C. elegans worms by a model-trained convolutional neural network', '''SPIE Photonics 2020'''<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, Thierry Géraud, ''A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images'', '''LVQuan 2019''' [http://www.lrde.epita.fr/dload/papers/zhao.19.stacom.pdf PDF]<br />
<br />
Nicolas Boutry, Joseph Chazalon, Elodie Puybareau, Guillaume Tochon, Hugues Talbot, Thierry Géraud, ''Using separated inputs for multimodal brain tumor segmentation with 3D U-Net-like architectures'', '''BraTS 2019''' [https://www.lrde.epita.fr/dload/papers/boutry.19.brats.pdf PDF]<br />
<br />
Le Duy Huynh , Nicolas Boutry , Thierry Geraud, ''Connected Filters on Generalized Shape-Spaces'','''PRL 2019''' [https://www.lrde.epita.fr/wiki/Publications/huynh.19.prl PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''An Equivalence Relation between Morphological Dynamics and Persistent Homology in 1D'', '''ISMM 2019''' [https://www.lrde.epita.fr/wiki/Publications/boutry.19.ismm PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' One more step towards well-composedness of cell complexes over nD pictures '', '''DGCI 2019''' [https://link.springer.com/book/10.1007/978-3-030-14085-4 PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''How to Make n-D Plain Maps Alexandrov-Well-Composed in a Self-dual Way'', '''JMIV 2019''' [http://www.lrde.epita.fr/dload/papers/boutry.19.jmiv.pdf PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' Weakly well-composed cell complexes over nD pictures '', '''Information Sciences 2018''' [https://www.sciencedirect.com/science/article/pii/S0020025518304481 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''A Tutorial on Well-Composedness,'' '''JMIV 2017''' [https://hal.archives-ouvertes.fr/hal-01609892/file/article.pdf PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in Z^n,'' '''DGCI 2017''' [https://hal.archives-ouvertes.fr/hal-01586418/document PDF]<br />
<br />
Edwin Carlinet, Yongchao Xu, Nicolas Boutry, Thierry Géraud, ''La pseudo-distance du Dahu, '' '''ORASIS 2017''' [https://www.lrde.epita.fr/wiki/Publications/carlinet.17.orasis PDF]<br />
<br />
Thierry Géraud, Yongchao Xu, Edwin Carlinet, Nicolas Boutry, ''Introducing the Dahu Pseudo-Distance,'' '''ISMM''' [https://www.lrde.epita.fr/wiki/Publications/geraud.17.ismm PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''About the equivalence between AWCness and DWCness,'' '''HAL 2016''' [https://hal-upec-upem.archives-ouvertes.fr/hal-01375621/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation,'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])<br />
<br />
== Link to my PhD report ==<br />
<br />
[https://pastel.archives-ouvertes.fr/tel-01531035 A Study of Well-composedness in ''n''-D]</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=126933User:Nboutry2021-11-11T22:01:11Z<p>Nboutry: </p>
<hr />
<div>== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company called MyCO2 to work on pattern recognition. He realized his Ph.D. thesis on well-composed images from 2014 to 2016 at EPITA on the [[Olena]] project and at the [http://ligm.u-pem.fr/ LIGM] at ESIEE Paris. He is now associate professor and co-chief of the Data Science and Artificial Intelligence (SCIA) specialization at EPITA.<br />
<br />
My ''curriculum vitae'' is available [https://www.lrde.epita.fr/images/d/d3/CV_Boutry_2018.pdf HERE].<br />
<br />
== Current status ==<br />
<br />
Associate Professor (Enseignant-Chercheur) at EPITA<br />
<br />
Co-chief of Data Science and Artificial Intelligence (SCIA) specialization at EPITA (Co-responsable de la majeure SCIA de l'EPITA).<br />
<br />
* Subjects: biomedical imaging, discrete topology, mathematical morphology, deep learning, explainable artificial intelligence (xAI), quantum machine learning.<br />
<br />
* Ph.D. Student :<br />
Caroline Mazini Rodriguez<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
* Rational Databases (TP for 3rd-year students at EPITA)<br />
* Video Compression (5th-year students at EPITA)<br />
* Wavelets Theory (5th-year students at EPITA)<br />
* Deep Learning (5th-year students at EPITA)<br />
* Quantum Computing (3rd-year students at EPITA)<br />
* Matrix Calculus (3rd-year students at EPITA)<br />
* Deep learning on biomedical images (5th-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Sekuboyina et al., ''VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images'' [https://arxiv.org/abs/2001.09193 PDF]<br />
<br />
Ali et al., ''A translational pathway of deep learning methods in GastroIntestinal Endoscopy'' [https://arxiv.org/pdf/2010.06034.pdf PDF]<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, ''Stacked and Parallel U-Nets with Multi-output for Myocardial Pathology Segmentation'' '''MICCAI MyOPS Workshop 2020'''<br />
[https://link.springer.com/chapter/10.1007%2F978-3-030-65651-5_13 PDF]<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, Thierry Géraud, ''Do not Treat Boundaries and Regions Differently: An Example on Heart Left Atrial Segmentation'' '''ICPR 2020'''<br />
[https://www.lrde.epita.fr/wiki/Publications/zhao.20.icpr.2 PDF]<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, Thierry Géraud, ''FOANet: A Focus of Attention Network with Application to Myocardium Segmentation'' '''ICPR 2020'''<br />
[https://www.lrde.epita.fr/wiki/Publications/zhao.20.icpr.1 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Equivalence between Digital Well-Composedness and Well-Composedness in the sense of Alexandrov on n-D Cubical Grids'' '''JMIV 2020''' [https://www.lrde.epita.fr/wiki/Publications/boutry.20.jmiv.2 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Topological Properties of the First Non-Local Digitally Well-Composed Interpolation on n-D Cubical Grids'' '''JMIV 2020''' [https://www.lrde.epita.fr/wiki/Publications/boutry.20.jmiv.1 PDF]<br />
<br />
Nicolas Boutry, Rocio Gonzalez-Diaz, Maria-Jose Jimenez, Eduardo Paluzo-Hildago, ''Euler Well-Composedness'', '''IWCIA 2020''' [https://iwcia2020.wordpress.com/ PDF]<br />
<br />
Alexandre Kirszenberg, Nicolas Boutry, Guillaume Tochon, Élodie Puybareau, ''VerSe 2019 Challenge'', '''MICCAI Vertebrae Segmentation Challenge'''<br />
<br />
Nicolas Boutry, Rocio Gonzalez-Diaz, Laurent Najman, Thierry Géraud, ''A 4D counter-example showing that DWCness does not imply CWCness in n-D'', '''IWCIA 2020''' [https://iwcia2020.wordpress.com/ PDF]<br />
<br />
Michael Atlan, Julie Rivet, Antoine Taliercio, Nicolas Boutry, Guillaume Tochon, Jean-Pierre Huignard, ''Experimental digital Gabor hologram rendering of C. elegans worms by a model-trained convolutional neural network', '''SPIE Photonics 2020'''<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, Thierry Géraud, ''A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images'', '''LVQuan 2019''' [http://www.lrde.epita.fr/dload/papers/zhao.19.stacom.pdf PDF]<br />
<br />
Nicolas Boutry, Joseph Chazalon, Elodie Puybareau, Guillaume Tochon, Hugues Talbot, Thierry Géraud, ''Using separated inputs for multimodal brain tumor segmentation with 3D U-Net-like architectures'', '''BraTS 2019''' [https://www.lrde.epita.fr/dload/papers/boutry.19.brats.pdf PDF]<br />
<br />
Le Duy Huynh , Nicolas Boutry , Thierry Geraud, ''Connected Filters on Generalized Shape-Spaces'','''PRL 2019''' [https://www.lrde.epita.fr/wiki/Publications/huynh.19.prl PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''An Equivalence Relation between Morphological Dynamics and Persistent Homology in 1D'', '''ISMM 2019''' [https://www.lrde.epita.fr/wiki/Publications/boutry.19.ismm PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' One more step towards well-composedness of cell complexes over nD pictures '', '''DGCI 2019''' [https://link.springer.com/book/10.1007/978-3-030-14085-4 PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''How to Make n-D Plain Maps Alexandrov-Well-Composed in a Self-dual Way'', '''JMIV 2019''' [http://www.lrde.epita.fr/dload/papers/boutry.19.jmiv.pdf PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' Weakly well-composed cell complexes over nD pictures '', '''Information Sciences 2018''' [https://www.sciencedirect.com/science/article/pii/S0020025518304481 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''A Tutorial on Well-Composedness,'' '''JMIV 2017''' [https://hal.archives-ouvertes.fr/hal-01609892/file/article.pdf PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in Z^n,'' '''DGCI 2017''' [https://hal.archives-ouvertes.fr/hal-01586418/document PDF]<br />
<br />
Edwin Carlinet, Yongchao Xu, Nicolas Boutry, Thierry Géraud, ''La pseudo-distance du Dahu, '' '''ORASIS 2017''' [https://www.lrde.epita.fr/wiki/Publications/carlinet.17.orasis PDF]<br />
<br />
Thierry Géraud, Yongchao Xu, Edwin Carlinet, Nicolas Boutry, ''Introducing the Dahu Pseudo-Distance,'' '''ISMM''' [https://www.lrde.epita.fr/wiki/Publications/geraud.17.ismm PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''About the equivalence between AWCness and DWCness,'' '''HAL 2016''' [https://hal-upec-upem.archives-ouvertes.fr/hal-01375621/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation,'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])<br />
<br />
== Link to my PhD report ==<br />
<br />
[https://pastel.archives-ouvertes.fr/tel-01531035 A Study of Well-composedness in ''n''-D]</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=126882User:Nboutry2021-10-28T16:41:51Z<p>Nboutry: </p>
<hr />
<div>== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company called MyCO2 to work on pattern recognition. He realized his Ph.D. thesis on well-composed images from 2014 to 2016 at EPITA on the [[Olena]] project and at the [http://ligm.u-pem.fr/ LIGM] at ESIEE Paris. He is now associate professor and co-chief of the Data Science and Artificial Intelligence (SCIA) specialization at EPITA.<br />
<br />
My ''curriculum vitae'' is available [https://www.lrde.epita.fr/images/d/d3/CV_Boutry_2018.pdf HERE].<br />
<br />
== Current status ==<br />
<br />
Associate Professor (Enseignant-Chercheur) at EPITA<br />
Co-chief of Data Science and Artificial Intelligence (SCIA) specialization at EPITA (Co-responsable de la majeure SCIA de l'EPITA).<br />
<br />
* Subjects: biomedical imaging, discrete topology, mathematical morphology, deep learning, explainable artificial intelligence (xAI), quantum machine learning.<br />
<br />
* Ph.D. Student :<br />
Caroline Mazini Rodriguez<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
* Rational Databases (TP for 3rd-year students at EPITA)<br />
* Video Compression (5th-year students at EPITA)<br />
* Wavelets Theory (5th-year students at EPITA)<br />
* Deep Learning (5th-year students at EPITA)<br />
* Quantum Computing (3rd-year students at EPITA)<br />
* Matrix Calculus (3rd-year students at EPITA)<br />
* Deep learning on biomedical images (5th-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Sekuboyina et al., ''VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images'' [https://arxiv.org/abs/2001.09193 PDF]<br />
<br />
Ali et al., ''A translational pathway of deep learning methods in GastroIntestinal Endoscopy'' [https://arxiv.org/pdf/2010.06034.pdf PDF]<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, ''Stacked and Parallel U-Nets with Multi-output for Myocardial Pathology Segmentation'' '''MICCAI MyOPS Workshop 2020'''<br />
[https://link.springer.com/chapter/10.1007%2F978-3-030-65651-5_13 PDF]<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, Thierry Géraud, ''Do not Treat Boundaries and Regions Differently: An Example on Heart Left Atrial Segmentation'' '''ICPR 2020'''<br />
[https://www.lrde.epita.fr/wiki/Publications/zhao.20.icpr.2 PDF]<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, Thierry Géraud, ''FOANet: A Focus of Attention Network with Application to Myocardium Segmentation'' '''ICPR 2020'''<br />
[https://www.lrde.epita.fr/wiki/Publications/zhao.20.icpr.1 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Equivalence between Digital Well-Composedness and Well-Composedness in the sense of Alexandrov on n-D Cubical Grids'' '''JMIV 2020''' [https://www.lrde.epita.fr/wiki/Publications/boutry.20.jmiv.2 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Topological Properties of the First Non-Local Digitally Well-Composed Interpolation on n-D Cubical Grids'' '''JMIV 2020''' [https://www.lrde.epita.fr/wiki/Publications/boutry.20.jmiv.1 PDF]<br />
<br />
Nicolas Boutry, Rocio Gonzalez-Diaz, Maria-Jose Jimenez, Eduardo Paluzo-Hildago, ''Euler Well-Composedness'', '''IWCIA 2020''' [https://iwcia2020.wordpress.com/ PDF]<br />
<br />
Alexandre Kirszenberg, Nicolas Boutry, Guillaume Tochon, Élodie Puybareau, ''VerSe 2019 Challenge'', '''MICCAI Vertebrae Segmentation Challenge'''<br />
<br />
Nicolas Boutry, Rocio Gonzalez-Diaz, Laurent Najman, Thierry Géraud, ''A 4D counter-example showing that DWCness does not imply CWCness in n-D'', '''IWCIA 2020''' [https://iwcia2020.wordpress.com/ PDF]<br />
<br />
Michael Atlan, Julie Rivet, Antoine Taliercio, Nicolas Boutry, Guillaume Tochon, Jean-Pierre Huignard, ''Experimental digital Gabor hologram rendering of C. elegans worms by a model-trained convolutional neural network', '''SPIE Photonics 2020'''<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, Thierry Géraud, ''A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images'', '''LVQuan 2019''' [http://www.lrde.epita.fr/dload/papers/zhao.19.stacom.pdf PDF]<br />
<br />
Nicolas Boutry, Joseph Chazalon, Elodie Puybareau, Guillaume Tochon, Hugues Talbot, Thierry Géraud, ''Using separated inputs for multimodal brain tumor segmentation with 3D U-Net-like architectures'', '''BraTS 2019''' [https://www.lrde.epita.fr/dload/papers/boutry.19.brats.pdf PDF]<br />
<br />
Le Duy Huynh , Nicolas Boutry , Thierry Geraud, ''Connected Filters on Generalized Shape-Spaces'','''PRL 2019''' [https://www.lrde.epita.fr/wiki/Publications/huynh.19.prl PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''An Equivalence Relation between Morphological Dynamics and Persistent Homology in 1D'', '''ISMM 2019''' [https://www.lrde.epita.fr/wiki/Publications/boutry.19.ismm PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' One more step towards well-composedness of cell complexes over nD pictures '', '''DGCI 2019''' [https://link.springer.com/book/10.1007/978-3-030-14085-4 PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''How to Make n-D Plain Maps Alexandrov-Well-Composed in a Self-dual Way'', '''JMIV 2019''' [http://www.lrde.epita.fr/dload/papers/boutry.19.jmiv.pdf PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' Weakly well-composed cell complexes over nD pictures '', '''Information Sciences 2018''' [https://www.sciencedirect.com/science/article/pii/S0020025518304481 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''A Tutorial on Well-Composedness,'' '''JMIV 2017''' [https://hal.archives-ouvertes.fr/hal-01609892/file/article.pdf PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in Z^n,'' '''DGCI 2017''' [https://hal.archives-ouvertes.fr/hal-01586418/document PDF]<br />
<br />
Edwin Carlinet, Yongchao Xu, Nicolas Boutry, Thierry Géraud, ''La pseudo-distance du Dahu, '' '''ORASIS 2017''' [https://www.lrde.epita.fr/wiki/Publications/carlinet.17.orasis PDF]<br />
<br />
Thierry Géraud, Yongchao Xu, Edwin Carlinet, Nicolas Boutry, ''Introducing the Dahu Pseudo-Distance,'' '''ISMM''' [https://www.lrde.epita.fr/wiki/Publications/geraud.17.ismm PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''About the equivalence between AWCness and DWCness,'' '''HAL 2016''' [https://hal-upec-upem.archives-ouvertes.fr/hal-01375621/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation,'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])<br />
<br />
== Link to my PhD report ==<br />
<br />
[https://pastel.archives-ouvertes.fr/tel-01531035 A Study of Well-composedness in ''n''-D]</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=126670User:Nboutry2021-07-22T10:23:40Z<p>Nboutry: </p>
<hr />
<div>== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company called MyCO2 to work on pattern recognition. He realized his Ph.D. thesis on well-composed images from 2014 to 2016 at EPITA on the [[Olena]] project and at the [http://ligm.u-pem.fr/ LIGM] at ESIEE Paris. He is now research assistant at EPITA, still on well-composed images and topological issues in nD discrete images.<br />
<br />
My ''curriculum vitae'' is available [https://www.lrde.epita.fr/images/d/d3/CV_Boutry_2018.pdf HERE].<br />
<br />
== Current status ==<br />
<br />
Research Associate:<br />
* Subject: A.I. applied to biomedical images, Well-composed images.<br />
* Advisors: [[User:Theo|Thierry Géraud]] (LRDE)<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
* Rational Databases (TP for 3rd-year students at EPITA)<br />
* Video Compression (5th-year students at EPITA)<br />
* Wavelets Theory (5th-year students at EPITA)<br />
* Deep Learning (5th-year students at EPITA)<br />
* Quantum Computing (3rd-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Sekuboyina et al., ''VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images'' [https://arxiv.org/abs/2001.09193 PDF]<br />
<br />
Ali et al., ''A translational pathway of deep learning methods in GastroIntestinal Endoscopy'' [https://arxiv.org/pdf/2010.06034.pdf PDF]<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, ''Stacked and Parallel U-Nets with Multi-output for Myocardial Pathology Segmentation'' '''MICCAI MyOPS Workshop 2020'''<br />
[https://link.springer.com/chapter/10.1007%2F978-3-030-65651-5_13 PDF]<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, Thierry Géraud, ''Do not Treat Boundaries and Regions Differently: An Example on Heart Left Atrial Segmentation'' '''ICPR 2020'''<br />
[https://www.lrde.epita.fr/wiki/Publications/zhao.20.icpr.2 PDF]<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, Thierry Géraud, ''FOANet: A Focus of Attention Network with Application to Myocardium Segmentation'' '''ICPR 2020'''<br />
[https://www.lrde.epita.fr/wiki/Publications/zhao.20.icpr.1 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Equivalence between Digital Well-Composedness and Well-Composedness in the sense of Alexandrov on n-D Cubical Grids'' '''JMIV 2020''' [https://www.lrde.epita.fr/wiki/Publications/boutry.20.jmiv.2 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Topological Properties of the First Non-Local Digitally Well-Composed Interpolation on n-D Cubical Grids'' '''JMIV 2020''' [https://www.lrde.epita.fr/wiki/Publications/boutry.20.jmiv.1 PDF]<br />
<br />
Nicolas Boutry, Rocio Gonzalez-Diaz, Maria-Jose Jimenez, Eduardo Paluzo-Hildago, ''Euler Well-Composedness'', '''IWCIA 2020''' [https://iwcia2020.wordpress.com/ PDF]<br />
<br />
Alexandre Kirszenberg, Nicolas Boutry, Guillaume Tochon, Élodie Puybareau, ''VerSe 2019 Challenge'', '''MICCAI Vertebrae Segmentation Challenge'''<br />
<br />
Nicolas Boutry, Rocio Gonzalez-Diaz, Laurent Najman, Thierry Géraud, ''A 4D counter-example showing that DWCness does not imply CWCness in n-D'', '''IWCIA 2020''' [https://iwcia2020.wordpress.com/ PDF]<br />
<br />
Michael Atlan, Julie Rivet, Antoine Taliercio, Nicolas Boutry, Guillaume Tochon, Jean-Pierre Huignard, ''Experimental digital Gabor hologram rendering of C. elegans worms by a model-trained convolutional neural network', '''SPIE Photonics 2020'''<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, Thierry Géraud, ''A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images'', '''LVQuan 2019''' [http://www.lrde.epita.fr/dload/papers/zhao.19.stacom.pdf PDF]<br />
<br />
Nicolas Boutry, Joseph Chazalon, Elodie Puybareau, Guillaume Tochon, Hugues Talbot, Thierry Géraud, ''Using separated inputs for multimodal brain tumor segmentation with 3D U-Net-like architectures'', '''BraTS 2019''' [https://www.lrde.epita.fr/dload/papers/boutry.19.brats.pdf PDF]<br />
<br />
Le Duy Huynh , Nicolas Boutry , Thierry Geraud, ''Connected Filters on Generalized Shape-Spaces'','''PRL 2019''' [https://www.lrde.epita.fr/wiki/Publications/huynh.19.prl PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''An Equivalence Relation between Morphological Dynamics and Persistent Homology in 1D'', '''ISMM 2019''' [https://www.lrde.epita.fr/wiki/Publications/boutry.19.ismm PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' One more step towards well-composedness of cell complexes over nD pictures '', '''DGCI 2019''' [https://link.springer.com/book/10.1007/978-3-030-14085-4 PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''How to Make n-D Plain Maps Alexandrov-Well-Composed in a Self-dual Way'', '''JMIV 2019''' [http://www.lrde.epita.fr/dload/papers/boutry.19.jmiv.pdf PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' Weakly well-composed cell complexes over nD pictures '', '''Information Sciences 2018''' [https://www.sciencedirect.com/science/article/pii/S0020025518304481 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''A Tutorial on Well-Composedness,'' '''JMIV 2017''' [https://hal.archives-ouvertes.fr/hal-01609892/file/article.pdf PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in Z^n,'' '''DGCI 2017''' [https://hal.archives-ouvertes.fr/hal-01586418/document PDF]<br />
<br />
Edwin Carlinet, Yongchao Xu, Nicolas Boutry, Thierry Géraud, ''La pseudo-distance du Dahu, '' '''ORASIS 2017''' [https://www.lrde.epita.fr/wiki/Publications/carlinet.17.orasis PDF]<br />
<br />
Thierry Géraud, Yongchao Xu, Edwin Carlinet, Nicolas Boutry, ''Introducing the Dahu Pseudo-Distance,'' '''ISMM''' [https://www.lrde.epita.fr/wiki/Publications/geraud.17.ismm PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''About the equivalence between AWCness and DWCness,'' '''HAL 2016''' [https://hal-upec-upem.archives-ouvertes.fr/hal-01375621/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation,'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])<br />
<br />
== Link to my PhD report ==<br />
<br />
[https://pastel.archives-ouvertes.fr/tel-01531035 A Study of Well-composedness in ''n''-D]</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=125930User:Nboutry2020-12-24T22:05:56Z<p>Nboutry: </p>
<hr />
<div>== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company called MyCO2 to work on pattern recognition. He realized his Ph.D. thesis on well-composed images from 2014 to 2016 at EPITA on the [[Olena]] project and at the [http://ligm.u-pem.fr/ LIGM] at ESIEE Paris. He is now research assistant at EPITA, still on well-composed images and topological issues in nD discrete images.<br />
<br />
My ''curriculum vitae'' is available [https://www.lrde.epita.fr/images/d/d3/CV_Boutry_2018.pdf HERE].<br />
<br />
== Current status ==<br />
<br />
Research Associate:<br />
* Subject: A.I. applied to biomedical images, Well-composed images.<br />
* Advisors: [[User:Theo|Thierry Géraud]] (LRDE)<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
* Rational Databases (TP for 3rd-year students at EPITA)<br />
* Video Compression (5th-year students at EPITA)<br />
* Wavelets Theory (5th-year students at EPITA)<br />
* Deep Learning (5th-year students at EPITA)<br />
* Quantum Computing (3rd-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Ali et al., ''A translational pathway of deep learning methods in GastroIntestinal Endoscopy'' [https://arxiv.org/pdf/2010.06034.pdf PDF]<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, ''Stacked and Parallel U-Nets with Multi-output for Myocardial Pathology Segmentation'' '''MICCAI MyOPS Workshop 2020'''<br />
[https://link.springer.com/chapter/10.1007%2F978-3-030-65651-5_13 PDF]<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, Thierry Géraud, ''Do not Treat Boundaries and Regions Differently: An Example on Heart Left Atrial Segmentation'' '''ICPR 2020'''<br />
[https://www.lrde.epita.fr/wiki/Publications/zhao.20.icpr.2 PDF]<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, Thierry Géraud, ''FOANet: A Focus of Attention Network with Application to Myocardium Segmentation'' '''ICPR 2020'''<br />
[https://www.lrde.epita.fr/wiki/Publications/zhao.20.icpr.1 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Equivalence between Digital Well-Composedness and Well-Composedness in the sense of Alexandrov on n-D Cubical Grids'' '''JMIV 2020''' [https://www.lrde.epita.fr/wiki/Publications/boutry.20.jmiv.2 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Topological Properties of the First Non-Local Digitally Well-Composed Interpolation on n-D Cubical Grids'' '''JMIV 2020''' [https://www.lrde.epita.fr/wiki/Publications/boutry.20.jmiv.1 PDF]<br />
<br />
Nicolas Boutry, Rocio Gonzalez-Diaz, Maria-Jose Jimenez, Eduardo Paluzo-Hildago, ''Euler Well-Composedness'', '''IWCIA 2020''' [https://iwcia2020.wordpress.com/ PDF]<br />
<br />
Alexandre Kirszenberg, Nicolas Boutry, Guillaume Tochon, Élodie Puybareau, ''VerSe 2019 Challenge'', '''MICCAI Vertebrae Segmentation Challenge'''<br />
<br />
Nicolas Boutry, Rocio Gonzalez-Diaz, Laurent Najman, Thierry Géraud, ''A 4D counter-example showing that DWCness does not imply CWCness in n-D'', '''IWCIA 2020''' [https://iwcia2020.wordpress.com/ PDF]<br />
<br />
Michael Atlan, Julie Rivet, Antoine Taliercio, Nicolas Boutry, Guillaume Tochon, Jean-Pierre Huignard, ''Experimental digital Gabor hologram rendering of C. elegans worms by a model-trained convolutional neural network', '''SPIE Photonics 2020'''<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, Thierry Géraud, ''A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images'', '''LVQuan 2019''' [http://www.lrde.epita.fr/dload/papers/zhao.19.stacom.pdf PDF]<br />
<br />
Nicolas Boutry, Joseph Chazalon, Elodie Puybareau, Guillaume Tochon, Hugues Talbot, Thierry Géraud, ''Using separated inputs for multimodal brain tumor segmentation with 3D U-Net-like architectures'', '''BraTS 2019''' [https://www.lrde.epita.fr/dload/papers/boutry.19.brats.pdf PDF]<br />
<br />
Le Duy Huynh , Nicolas Boutry , Thierry Geraud, ''Connected Filters on Generalized Shape-Spaces'','''PRL 2019''' [https://www.lrde.epita.fr/wiki/Publications/huynh.19.prl PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''An Equivalence Relation between Morphological Dynamics and Persistent Homology in 1D'', '''ISMM 2019''' [https://www.lrde.epita.fr/wiki/Publications/boutry.19.ismm PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' One more step towards well-composedness of cell complexes over nD pictures '', '''DGCI 2019''' [https://link.springer.com/book/10.1007/978-3-030-14085-4 PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''How to Make n-D Plain Maps Alexandrov-Well-Composed in a Self-dual Way'', '''JMIV 2019''' [http://www.lrde.epita.fr/dload/papers/boutry.19.jmiv.pdf PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' Weakly well-composed cell complexes over nD pictures '', '''Information Sciences 2018''' [https://www.sciencedirect.com/science/article/pii/S0020025518304481 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''A Tutorial on Well-Composedness,'' '''JMIV 2017''' [https://hal.archives-ouvertes.fr/hal-01609892/file/article.pdf PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in Z^n,'' '''DGCI 2017''' [https://hal.archives-ouvertes.fr/hal-01586418/document PDF]<br />
<br />
Edwin Carlinet, Yongchao Xu, Nicolas Boutry, Thierry Géraud, ''La pseudo-distance du Dahu, '' '''ORASIS 2017''' [https://www.lrde.epita.fr/wiki/Publications/carlinet.17.orasis PDF]<br />
<br />
Thierry Géraud, Yongchao Xu, Edwin Carlinet, Nicolas Boutry, ''Introducing the Dahu Pseudo-Distance,'' '''ISMM''' [https://www.lrde.epita.fr/wiki/Publications/geraud.17.ismm PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''About the equivalence between AWCness and DWCness,'' '''HAL 2016''' [https://hal-upec-upem.archives-ouvertes.fr/hal-01375621/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation,'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])<br />
<br />
== Link to my PhD report ==<br />
<br />
[https://pastel.archives-ouvertes.fr/tel-01531035 A Study of Well-composedness in ''n''-D]</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=125929User:Nboutry2020-12-24T22:03:37Z<p>Nboutry: /* Current status */</p>
<hr />
<div>== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company called MyCO2 to work on pattern recognition. He realized his Ph.D. thesis on well-composed images from 2014 to 2016 at EPITA on the [[Olena]] project and at the [http://ligm.u-pem.fr/ LIGM] at ESIEE Paris. He is now research assistant at EPITA, still on well-composed images and topological issues in nD discrete images.<br />
<br />
My ''curriculum vitae'' is available [https://www.lrde.epita.fr/images/d/d3/CV_Boutry_2018.pdf HERE].<br />
<br />
== Current status ==<br />
<br />
Research Associate:<br />
* Subject: A.I. applied to biomedical images, Well-composed images.<br />
* Advisors: [[User:Theo|Thierry Géraud]] (LRDE)<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
* Rational Databases (TP for 3rd-year students at EPITA)<br />
* Video Compression (5th-year students at EPITA)<br />
* Wavelets Theory (5th-year students at EPITA)<br />
* Deep Learning (5th-year students at EPITA)<br />
* Quantum Computing (3rd-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Ali et al., ''A translational pathway of deep learning methods in GastroIntestinal Endoscopy'' [https://arxiv.org/pdf/2010.06034.pdf PDF]<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, Thierry Géraud, ''Do not Treat Boundaries and Regions Differently: An Example on Heart Left Atrial Segmentation'' '''ICPR 2020'''<br />
[https://www.lrde.epita.fr/wiki/Publications/zhao.20.icpr.2 PDF]<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, Thierry Géraud, ''FOANet: A Focus of Attention Network with Application to Myocardium Segmentation'' '''ICPR 2020'''<br />
[https://www.lrde.epita.fr/wiki/Publications/zhao.20.icpr.1 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Equivalence between Digital Well-Composedness and Well-Composedness in the sense of Alexandrov on n-D Cubical Grids'' '''JMIV 2020''' [https://www.lrde.epita.fr/wiki/Publications/boutry.20.jmiv.2 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Topological Properties of the First Non-Local Digitally Well-Composed Interpolation on n-D Cubical Grids'' '''JMIV 2020''' [https://www.lrde.epita.fr/wiki/Publications/boutry.20.jmiv.1 PDF]<br />
<br />
Nicolas Boutry, Rocio Gonzalez-Diaz, Maria-Jose Jimenez, Eduardo Paluzo-Hildago, ''Euler Well-Composedness'', '''IWCIA 2020''' [https://iwcia2020.wordpress.com/ PDF]<br />
<br />
Alexandre Kirszenberg, Nicolas Boutry, Guillaume Tochon, Élodie Puybareau, ''VerSe 2019 Challenge'', '''MICCAI Vertebrae Segmentation Challenge'''<br />
<br />
Nicolas Boutry, Rocio Gonzalez-Diaz, Laurent Najman, Thierry Géraud, ''A 4D counter-example showing that DWCness does not imply CWCness in n-D'', '''IWCIA 2020''' [https://iwcia2020.wordpress.com/ PDF]<br />
<br />
Michael Atlan, Julie Rivet, Antoine Taliercio, Nicolas Boutry, Guillaume Tochon, Jean-Pierre Huignard, ''Experimental digital Gabor hologram rendering of C. elegans worms by a model-trained convolutional neural network', '''SPIE Photonics 2020'''<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, Thierry Géraud, ''A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images'', '''LVQuan 2019''' [http://www.lrde.epita.fr/dload/papers/zhao.19.stacom.pdf PDF]<br />
<br />
Nicolas Boutry, Joseph Chazalon, Elodie Puybareau, Guillaume Tochon, Hugues Talbot, Thierry Géraud, ''Using separated inputs for multimodal brain tumor segmentation with 3D U-Net-like architectures'', '''BraTS 2019''' [https://www.lrde.epita.fr/dload/papers/boutry.19.brats.pdf PDF]<br />
<br />
Le Duy Huynh , Nicolas Boutry , Thierry Geraud, ''Connected Filters on Generalized Shape-Spaces'','''PRL 2019''' [https://www.lrde.epita.fr/wiki/Publications/huynh.19.prl PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''An Equivalence Relation between Morphological Dynamics and Persistent Homology in 1D'', '''ISMM 2019''' [https://www.lrde.epita.fr/wiki/Publications/boutry.19.ismm PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' One more step towards well-composedness of cell complexes over nD pictures '', '''DGCI 2019''' [https://link.springer.com/book/10.1007/978-3-030-14085-4 PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''How to Make n-D Plain Maps Alexandrov-Well-Composed in a Self-dual Way'', '''JMIV 2019''' [http://www.lrde.epita.fr/dload/papers/boutry.19.jmiv.pdf PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' Weakly well-composed cell complexes over nD pictures '', '''Information Sciences 2018''' [https://www.sciencedirect.com/science/article/pii/S0020025518304481 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''A Tutorial on Well-Composedness,'' '''JMIV 2017''' [https://hal.archives-ouvertes.fr/hal-01609892/file/article.pdf PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in Z^n,'' '''DGCI 2017''' [https://hal.archives-ouvertes.fr/hal-01586418/document PDF]<br />
<br />
Edwin Carlinet, Yongchao Xu, Nicolas Boutry, Thierry Géraud, ''La pseudo-distance du Dahu, '' '''ORASIS 2017''' [https://www.lrde.epita.fr/wiki/Publications/carlinet.17.orasis PDF]<br />
<br />
Thierry Géraud, Yongchao Xu, Edwin Carlinet, Nicolas Boutry, ''Introducing the Dahu Pseudo-Distance,'' '''ISMM''' [https://www.lrde.epita.fr/wiki/Publications/geraud.17.ismm PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''About the equivalence between AWCness and DWCness,'' '''HAL 2016''' [https://hal-upec-upem.archives-ouvertes.fr/hal-01375621/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation,'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])<br />
<br />
== Link to my PhD report ==<br />
<br />
[https://pastel.archives-ouvertes.fr/tel-01531035 A Study of Well-composedness in ''n''-D]</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=125819User:Nboutry2020-11-09T22:51:51Z<p>Nboutry: /* Publications */</p>
<hr />
<div>== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company called MyCO2 to work on pattern recognition. He realized his Ph.D. thesis on well-composed images from 2014 to 2016 at EPITA on the [[Olena]] project and at the [http://ligm.u-pem.fr/ LIGM] at ESIEE Paris. He is now research assistant at EPITA, still on well-composed images and topological issues in nD discrete images.<br />
<br />
My ''curriculum vitae'' is available [https://www.lrde.epita.fr/images/d/d3/CV_Boutry_2018.pdf HERE].<br />
<br />
== Current status ==<br />
<br />
Research Associate:<br />
* Subject: A.I. applied to biomedical images, Well-composed images.<br />
* Advisors: [[User:Theo|Thierry Géraud]] (LRDE)<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
* Rational Databases (TP for 3rd-year students at EPITA)<br />
* Video Compression (5th-year students at EPITA)<br />
* Wavelets Theory (5th-year students at EPITA)<br />
* Deep Learning (5th-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Ali et al., ''A translational pathway of deep learning methods in GastroIntestinal Endoscopy'' [https://arxiv.org/pdf/2010.06034.pdf PDF]<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, Thierry Géraud, ''Do not Treat Boundaries and Regions Differently: An Example on Heart Left Atrial Segmentation'' '''ICPR 2020'''<br />
[https://www.lrde.epita.fr/wiki/Publications/zhao.20.icpr.2 PDF]<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, Thierry Géraud, ''FOANet: A Focus of Attention Network with Application to Myocardium Segmentation'' '''ICPR 2020'''<br />
[https://www.lrde.epita.fr/wiki/Publications/zhao.20.icpr.1 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Equivalence between Digital Well-Composedness and Well-Composedness in the sense of Alexandrov on n-D Cubical Grids'' '''JMIV 2020''' [https://www.lrde.epita.fr/wiki/Publications/boutry.20.jmiv.2 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Topological Properties of the First Non-Local Digitally Well-Composed Interpolation on n-D Cubical Grids'' '''JMIV 2020''' [https://www.lrde.epita.fr/wiki/Publications/boutry.20.jmiv.1 PDF]<br />
<br />
Nicolas Boutry, Rocio Gonzalez-Diaz, Maria-Jose Jimenez, Eduardo Paluzo-Hildago, ''Euler Well-Composedness'', '''IWCIA 2020''' [https://iwcia2020.wordpress.com/ PDF]<br />
<br />
Alexandre Kirszenberg, Nicolas Boutry, Guillaume Tochon, Élodie Puybareau, ''VerSe 2019 Challenge'', '''MICCAI Vertebrae Segmentation Challenge'''<br />
<br />
Nicolas Boutry, Rocio Gonzalez-Diaz, Laurent Najman, Thierry Géraud, ''A 4D counter-example showing that DWCness does not imply CWCness in n-D'', '''IWCIA 2020''' [https://iwcia2020.wordpress.com/ PDF]<br />
<br />
Michael Atlan, Julie Rivet, Antoine Taliercio, Nicolas Boutry, Guillaume Tochon, Jean-Pierre Huignard, ''Experimental digital Gabor hologram rendering of C. elegans worms by a model-trained convolutional neural network', '''SPIE Photonics 2020'''<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, Thierry Géraud, ''A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images'', '''LVQuan 2019''' [http://www.lrde.epita.fr/dload/papers/zhao.19.stacom.pdf PDF]<br />
<br />
Nicolas Boutry, Joseph Chazalon, Elodie Puybareau, Guillaume Tochon, Hugues Talbot, Thierry Géraud, ''Using separated inputs for multimodal brain tumor segmentation with 3D U-Net-like architectures'', '''BraTS 2019''' [https://www.lrde.epita.fr/dload/papers/boutry.19.brats.pdf PDF]<br />
<br />
Le Duy Huynh , Nicolas Boutry , Thierry Geraud, ''Connected Filters on Generalized Shape-Spaces'','''PRL 2019''' [https://www.lrde.epita.fr/wiki/Publications/huynh.19.prl PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''An Equivalence Relation between Morphological Dynamics and Persistent Homology in 1D'', '''ISMM 2019''' [https://www.lrde.epita.fr/wiki/Publications/boutry.19.ismm PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' One more step towards well-composedness of cell complexes over nD pictures '', '''DGCI 2019''' [https://link.springer.com/book/10.1007/978-3-030-14085-4 PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''How to Make n-D Plain Maps Alexandrov-Well-Composed in a Self-dual Way'', '''JMIV 2019''' [http://www.lrde.epita.fr/dload/papers/boutry.19.jmiv.pdf PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' Weakly well-composed cell complexes over nD pictures '', '''Information Sciences 2018''' [https://www.sciencedirect.com/science/article/pii/S0020025518304481 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''A Tutorial on Well-Composedness,'' '''JMIV 2017''' [https://hal.archives-ouvertes.fr/hal-01609892/file/article.pdf PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in Z^n,'' '''DGCI 2017''' [https://hal.archives-ouvertes.fr/hal-01586418/document PDF]<br />
<br />
Edwin Carlinet, Yongchao Xu, Nicolas Boutry, Thierry Géraud, ''La pseudo-distance du Dahu, '' '''ORASIS 2017''' [https://www.lrde.epita.fr/wiki/Publications/carlinet.17.orasis PDF]<br />
<br />
Thierry Géraud, Yongchao Xu, Edwin Carlinet, Nicolas Boutry, ''Introducing the Dahu Pseudo-Distance,'' '''ISMM''' [https://www.lrde.epita.fr/wiki/Publications/geraud.17.ismm PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''About the equivalence between AWCness and DWCness,'' '''HAL 2016''' [https://hal-upec-upem.archives-ouvertes.fr/hal-01375621/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation,'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])<br />
<br />
== Link to my PhD report ==<br />
<br />
[https://pastel.archives-ouvertes.fr/tel-01531035 A Study of Well-composedness in ''n''-D]</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=125701User:Nboutry2020-10-17T22:14:48Z<p>Nboutry: /* Publications */</p>
<hr />
<div>== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company called MyCO2 to work on pattern recognition. He realized his Ph.D. thesis on well-composed images from 2014 to 2016 at EPITA on the [[Olena]] project and at the [http://ligm.u-pem.fr/ LIGM] at ESIEE Paris. He is now research assistant at EPITA, still on well-composed images and topological issues in nD discrete images.<br />
<br />
My ''curriculum vitae'' is available [https://www.lrde.epita.fr/images/d/d3/CV_Boutry_2018.pdf HERE].<br />
<br />
== Current status ==<br />
<br />
Research Associate:<br />
* Subject: A.I. applied to biomedical images, Well-composed images.<br />
* Advisors: [[User:Theo|Thierry Géraud]] (LRDE)<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
* Rational Databases (TP for 3rd-year students at EPITA)<br />
* Video Compression (5th-year students at EPITA)<br />
* Wavelets Theory (5th-year students at EPITA)<br />
* Deep Learning (5th-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Ali et al., ''A translational pathway of deep learning methods in GastroIntestinal Endoscopy'' [https://arxiv.org/pdf/2010.06034.pdf PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Equivalence between Digital Well-Composedness and Well-Composedness in the sense of Alexandrov on n-D Cubical Grids'' '''JMIV 2020''' [https://www.lrde.epita.fr/wiki/Publications/boutry.20.jmiv.2 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Topological Properties of the First Non-Local Digitally Well-Composed Interpolation on n-D Cubical Grids'' '''JMIV 2020''' [https://www.lrde.epita.fr/wiki/Publications/boutry.20.jmiv.1 PDF]<br />
<br />
Nicolas Boutry, Rocio Gonzalez-Diaz, Maria-Jose Jimenez, Eduardo Paluzo-Hildago, ''Euler Well-Composedness'', '''IWCIA 2020''' [https://iwcia2020.wordpress.com/ PDF]<br />
<br />
Alexandre Kirszenberg, Nicolas Boutry, Guillaume Tochon, Élodie Puybareau, ''VerSe 2019 Challenge'', '''MICCAI Vertebrae Segmentation Challenge'''<br />
<br />
Nicolas Boutry, Rocio Gonzalez-Diaz, Laurent Najman, Thierry Géraud, ''A 4D counter-example showing that DWCness does not imply CWCness in n-D'', '''IWCIA 2020''' [https://iwcia2020.wordpress.com/ PDF]<br />
<br />
Michael Atlan, Julie Rivet, Antoine Taliercio, Nicolas Boutry, Guillaume Tochon, Jean-Pierre Huignard, ''Experimental digital Gabor hologram rendering of C. elegans worms by a model-trained convolutional neural network', '''SPIE Photonics 2020'''<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, Thierry Géraud, ''A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images'', '''LVQuan 2019''' [http://www.lrde.epita.fr/dload/papers/zhao.19.stacom.pdf PDF]<br />
<br />
Nicolas Boutry, Joseph Chazalon, Elodie Puybareau, Guillaume Tochon, Hugues Talbot, Thierry Géraud, ''Using separated inputs for multimodal brain tumor segmentation with 3D U-Net-like architectures'', '''BraTS 2019''' [https://www.lrde.epita.fr/dload/papers/boutry.19.brats.pdf PDF]<br />
<br />
Le Duy Huynh , Nicolas Boutry , Thierry Geraud, ''Connected Filters on Generalized Shape-Spaces'','''PRL 2019''' [https://www.lrde.epita.fr/wiki/Publications/huynh.19.prl PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''An Equivalence Relation between Morphological Dynamics and Persistent Homology in 1D'', '''ISMM 2019''' [https://www.lrde.epita.fr/wiki/Publications/boutry.19.ismm PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' One more step towards well-composedness of cell complexes over nD pictures '', '''DGCI 2019''' [https://link.springer.com/book/10.1007/978-3-030-14085-4 PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''How to Make n-D Plain Maps Alexandrov-Well-Composed in a Self-dual Way'', '''JMIV 2019''' [http://www.lrde.epita.fr/dload/papers/boutry.19.jmiv.pdf PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' Weakly well-composed cell complexes over nD pictures '', '''Information Sciences 2018''' [https://www.sciencedirect.com/science/article/pii/S0020025518304481 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''A Tutorial on Well-Composedness,'' '''JMIV 2017''' [https://hal.archives-ouvertes.fr/hal-01609892/file/article.pdf PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in Z^n,'' '''DGCI 2017''' [https://hal.archives-ouvertes.fr/hal-01586418/document PDF]<br />
<br />
Edwin Carlinet, Yongchao Xu, Nicolas Boutry, Thierry Géraud, ''La pseudo-distance du Dahu, '' '''ORASIS 2017''' [https://www.lrde.epita.fr/wiki/Publications/carlinet.17.orasis PDF]<br />
<br />
Thierry Géraud, Yongchao Xu, Edwin Carlinet, Nicolas Boutry, ''Introducing the Dahu Pseudo-Distance,'' '''ISMM''' [https://www.lrde.epita.fr/wiki/Publications/geraud.17.ismm PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''About the equivalence between AWCness and DWCness,'' '''HAL 2016''' [https://hal-upec-upem.archives-ouvertes.fr/hal-01375621/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation,'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])<br />
<br />
== Link to my PhD report ==<br />
<br />
[https://pastel.archives-ouvertes.fr/tel-01531035 A Study of Well-composedness in ''n''-D]</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=125658User:Nboutry2020-09-29T09:59:12Z<p>Nboutry: </p>
<hr />
<div>== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company called MyCO2 to work on pattern recognition. He realized his Ph.D. thesis on well-composed images from 2014 to 2016 at EPITA on the [[Olena]] project and at the [http://ligm.u-pem.fr/ LIGM] at ESIEE Paris. He is now research assistant at EPITA, still on well-composed images and topological issues in nD discrete images.<br />
<br />
My ''curriculum vitae'' is available [https://www.lrde.epita.fr/images/d/d3/CV_Boutry_2018.pdf HERE].<br />
<br />
== Current status ==<br />
<br />
Research Associate:<br />
* Subject: A.I. applied to biomedical images, Well-composed images.<br />
* Advisors: [[User:Theo|Thierry Géraud]] (LRDE)<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
* Rational Databases (TP for 3rd-year students at EPITA)<br />
* Video Compression (5th-year students at EPITA)<br />
* Wavelets Theory (5th-year students at EPITA)<br />
* Deep Learning (5th-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Equivalence between Digital Well-Composedness and Well-Composedness in the sense of Alexandrov on n-D Cubical Grids'' '''JMIV 2020''' [https://www.lrde.epita.fr/wiki/Publications/boutry.20.jmiv.2 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Topological Properties of the First Non-Local Digitally Well-Composed Interpolation on n-D Cubical Grids'' '''JMIV 2020''' [https://www.lrde.epita.fr/wiki/Publications/boutry.20.jmiv.1 PDF]<br />
<br />
Nicolas Boutry, Rocio Gonzalez-Diaz, Maria-Jose Jimenez, Eduardo Paluzo-Hildago, ''Euler Well-Composedness'', '''IWCIA 2020''' [https://iwcia2020.wordpress.com/ PDF]<br />
<br />
Alexandre Kirszenberg, Nicolas Boutry, Guillaume Tochon, Élodie Puybareau, ''VerSe 2019 Challenge'', '''MICCAI Vertebrae Segmentation Challenge'''<br />
<br />
Nicolas Boutry, Rocio Gonzalez-Diaz, Laurent Najman, Thierry Géraud, ''A 4D counter-example showing that DWCness does not imply CWCness in n-D'', '''IWCIA 2020''' [https://iwcia2020.wordpress.com/ PDF]<br />
<br />
Michael Atlan, Julie Rivet, Antoine Taliercio, Nicolas Boutry, Guillaume Tochon, Jean-Pierre Huignard, ''Experimental digital Gabor hologram rendering of C. elegans worms by a model-trained convolutional neural network', '''SPIE Photonics 2020'''<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, Thierry Géraud, ''A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images'', '''LVQuan 2019''' [http://www.lrde.epita.fr/dload/papers/zhao.19.stacom.pdf PDF]<br />
<br />
Nicolas Boutry, Joseph Chazalon, Elodie Puybareau, Guillaume Tochon, Hugues Talbot, Thierry Géraud, ''Using separated inputs for multimodal brain tumor segmentation with 3D U-Net-like architectures'', '''BraTS 2019''' [https://www.lrde.epita.fr/dload/papers/boutry.19.brats.pdf PDF]<br />
<br />
Le Duy Huynh , Nicolas Boutry , Thierry Geraud, ''Connected Filters on Generalized Shape-Spaces'','''PRL 2019''' [https://www.lrde.epita.fr/wiki/Publications/huynh.19.prl PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''An Equivalence Relation between Morphological Dynamics and Persistent Homology in 1D'', '''ISMM 2019''' [https://www.lrde.epita.fr/wiki/Publications/boutry.19.ismm PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' One more step towards well-composedness of cell complexes over nD pictures '', '''DGCI 2019''' [https://link.springer.com/book/10.1007/978-3-030-14085-4 PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''How to Make n-D Plain Maps Alexandrov-Well-Composed in a Self-dual Way'', '''JMIV 2019''' [http://www.lrde.epita.fr/dload/papers/boutry.19.jmiv.pdf PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' Weakly well-composed cell complexes over nD pictures '', '''Information Sciences 2018''' [https://www.sciencedirect.com/science/article/pii/S0020025518304481 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''A Tutorial on Well-Composedness,'' '''JMIV 2017''' [https://hal.archives-ouvertes.fr/hal-01609892/file/article.pdf PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in Z^n,'' '''DGCI 2017''' [https://hal.archives-ouvertes.fr/hal-01586418/document PDF]<br />
<br />
Edwin Carlinet, Yongchao Xu, Nicolas Boutry, Thierry Géraud, ''La pseudo-distance du Dahu, '' '''ORASIS 2017''' [https://www.lrde.epita.fr/wiki/Publications/carlinet.17.orasis PDF]<br />
<br />
Thierry Géraud, Yongchao Xu, Edwin Carlinet, Nicolas Boutry, ''Introducing the Dahu Pseudo-Distance,'' '''ISMM''' [https://www.lrde.epita.fr/wiki/Publications/geraud.17.ismm PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''About the equivalence between AWCness and DWCness,'' '''HAL 2016''' [https://hal-upec-upem.archives-ouvertes.fr/hal-01375621/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation,'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])<br />
<br />
== Link to my PhD report ==<br />
<br />
[https://pastel.archives-ouvertes.fr/tel-01531035 A Study of Well-composedness in ''n''-D]</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=125581User:Nboutry2020-09-02T10:22:51Z<p>Nboutry: </p>
<hr />
<div>== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company called MyCO2 to work on pattern recognition. He realized his Ph.D. thesis on well-composed images from 2014 to 2016 at EPITA on the [[Olena]] project and at the [http://ligm.u-pem.fr/ LIGM] at ESIEE Paris. He is now research assistant at EPITA, still on well-composed images and topological issues in nD discrete images.<br />
<br />
My ''curriculum vitae'' is available [https://www.lrde.epita.fr/images/d/d3/CV_Boutry_2018.pdf HERE].<br />
<br />
== Current status ==<br />
<br />
Research Associate:<br />
* Subject: A.I. applied to biomedical images, Well-composed images.<br />
* Advisors: [[User:Theo|Thierry Géraud]] (LRDE)<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
* Rational Databases (TP for 3rd-year students at EPITA)<br />
* Video Compression (5th-year students at EPITA)<br />
* Wavelets Theory (5th-year students at EPITA)<br />
* Deep Learning (5th-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Equivalence between Digital Well-Composedness and Well-Composedness in the sense of Alexandrov on n-D Cubical Grids'' '''JMIV 2020''' [https://www.springer.com/journal/10851 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Topological Properties of the First Non-Local Digitally Well-Composed Interpolation on n-D Cubical Grids'' '''JMIV 2020''' [https://www.springer.com/journal/10851 PDF]<br />
<br />
Nicolas Boutry, Rocio Gonzalez-Diaz, Maria-Jose Jimenez, Eduardo Paluzo-Hildago, ''Euler Well-Composedness'', '''IWCIA 2020''' [https://iwcia2020.wordpress.com/ PDF]<br />
<br />
Alexandre Kirszenberg, Nicolas Boutry, Guillaume Tochon, Élodie Puybareau, ''VerSe 2019 Challenge'', '''MICCAI Vertebrae Segmentation Challenge'''<br />
<br />
Nicolas Boutry, Rocio Gonzalez-Diaz, Laurent Najman, Thierry Géraud, ''A 4D counter-example showing that DWCness does not imply CWCness in n-D'', '''IWCIA 2020''' [https://iwcia2020.wordpress.com/ PDF]<br />
<br />
Michael Atlan, Julie Rivet, Antoine Taliercio, Nicolas Boutry, Guillaume Tochon, Jean-Pierre Huignard, ''Experimental digital Gabor hologram rendering of C. elegans worms by a model-trained convolutional neural network', '''SPIE Photonics 2020'''<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, Thierry Géraud, ''A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images'', '''LVQuan 2019''' [http://www.lrde.epita.fr/dload/papers/zhao.19.stacom.pdf PDF]<br />
<br />
Nicolas Boutry, Joseph Chazalon, Elodie Puybareau, Guillaume Tochon, Hugues Talbot, Thierry Géraud, ''Using separated inputs for multimodal brain tumor segmentation with 3D U-Net-like architectures'', '''BraTS 2019''' [https://www.lrde.epita.fr/dload/papers/boutry.19.brats.pdf PDF]<br />
<br />
Le Duy Huynh , Nicolas Boutry , Thierry Geraud, ''Connected Filters on Generalized Shape-Spaces'','''PRL 2019''' [https://www.lrde.epita.fr/wiki/Publications/huynh.19.prl PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''An Equivalence Relation between Morphological Dynamics and Persistent Homology in 1D'', '''ISMM 2019''' [https://www.lrde.epita.fr/wiki/Publications/boutry.19.ismm PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' One more step towards well-composedness of cell complexes over nD pictures '', '''DGCI 2019''' [https://link.springer.com/book/10.1007/978-3-030-14085-4 PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''How to Make n-D Plain Maps Alexandrov-Well-Composed in a Self-dual Way'', '''JMIV 2019''' [http://www.lrde.epita.fr/dload/papers/boutry.19.jmiv.pdf PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' Weakly well-composed cell complexes over nD pictures '', '''Information Sciences 2018''' [https://www.sciencedirect.com/science/article/pii/S0020025518304481 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''A Tutorial on Well-Composedness,'' '''JMIV 2017''' [https://hal.archives-ouvertes.fr/hal-01609892/file/article.pdf PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in Z^n,'' '''DGCI 2017''' [https://hal.archives-ouvertes.fr/hal-01586418/document PDF]<br />
<br />
Edwin Carlinet, Yongchao Xu, Nicolas Boutry, Thierry Géraud, ''La pseudo-distance du Dahu, '' '''ORASIS 2017''' [https://www.lrde.epita.fr/wiki/Publications/carlinet.17.orasis PDF]<br />
<br />
Thierry Géraud, Yongchao Xu, Edwin Carlinet, Nicolas Boutry, ''Introducing the Dahu Pseudo-Distance,'' '''ISMM''' [https://www.lrde.epita.fr/wiki/Publications/geraud.17.ismm PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''About the equivalence between AWCness and DWCness,'' '''HAL 2016''' [https://hal-upec-upem.archives-ouvertes.fr/hal-01375621/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation,'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])<br />
<br />
== Link to my PhD report ==<br />
<br />
[https://pastel.archives-ouvertes.fr/tel-01531035 A Study of Well-composedness in ''n''-D]</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=125580User:Nboutry2020-09-02T09:51:23Z<p>Nboutry: </p>
<hr />
<div>== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company called MyCO2 to work on pattern recognition. He realized his Ph.D. thesis on well-composed images from 2014 to 2016 at EPITA on the [[Olena]] project and at the [http://ligm.u-pem.fr/ LIGM] at ESIEE Paris. He is now research assistant at EPITA, still on well-composed images and topological issues in nD discrete images.<br />
<br />
My ''curriculum vitae'' is available [https://www.lrde.epita.fr/images/d/d3/CV_Boutry_2018.pdf HERE].<br />
<br />
== Current status ==<br />
<br />
Research Associate:<br />
* Subject: A.I. applied to biomedical images, Well-composed images.<br />
* Advisors: [[User:Theo|Thierry Géraud]] (LRDE)<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
* Rational Databases (TP for 3rd-year students at EPITA)<br />
* Video Compression (5th-year students at EPITA)<br />
* Wavelets Theory (5th-year students at EPITA)<br />
* Deep Learning (5th-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Equivalence between Digital Well-Composedness and Well-Composedness in the sense of Alexandrov on n-D Cubical Grids'' '''JMIV 2020''' [https://www.springer.com/journal/10851 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Topological Properties of the First Non-Local Digitally Well-Composed Interpolation on n-D Cubical Grids'' '''JMIV 2020''' [https://www.springer.com/journal/10851 PDF]<br />
<br />
Nicolas Boutry, Rocio Gonzalez-Diaz, Maria-Jose Jimenez, Eduardo Paluzo-Hildago, ''Euler Well-Composedness'', '''IWCIA 2020''' [https://iwcia2020.wordpress.com/ PDF]<br />
<br />
Nicolas Boutry, Rocio Gonzalez-Diaz, Laurent Najman, Thierry Géraud, ''A 4D counter-example showing that DWCness does not imply CWCness in n-D'', '''IWCIA 2020''' [https://iwcia2020.wordpress.com/ PDF]<br />
<br />
Michael Atlan, Julie Rivet, Antoine Taliercio, Nicolas Boutry, Guillaume Tochon, Jean-Pierre Huignard, ''Experimental digital Gabor hologram rendering of C. elegans worms by a model-trained convolutional neural network', '''SPIE Photonics 2020'''<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, Thierry Géraud, ''A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images'', '''LVQuan 2019''' [http://www.lrde.epita.fr/dload/papers/zhao.19.stacom.pdf PDF]<br />
<br />
Nicolas Boutry, Joseph Chazalon, Elodie Puybareau, Guillaume Tochon, Hugues Talbot, Thierry Géraud, ''Using separated inputs for multimodal brain tumor segmentation with 3D U-Net-like architectures'', '''BraTS 2019''' [https://www.lrde.epita.fr/dload/papers/boutry.19.brats.pdf PDF]<br />
<br />
Le Duy Huynh , Nicolas Boutry , Thierry Geraud, ''Connected Filters on Generalized Shape-Spaces'','''PRL 2019''' [https://www.lrde.epita.fr/wiki/Publications/huynh.19.prl PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''An Equivalence Relation between Morphological Dynamics and Persistent Homology in 1D'', '''ISMM 2019''' [https://www.lrde.epita.fr/wiki/Publications/boutry.19.ismm PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' One more step towards well-composedness of cell complexes over nD pictures '', '''DGCI 2019''' [https://link.springer.com/book/10.1007/978-3-030-14085-4 PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''How to Make n-D Plain Maps Alexandrov-Well-Composed in a Self-dual Way'', '''JMIV 2019''' [http://www.lrde.epita.fr/dload/papers/boutry.19.jmiv.pdf PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' Weakly well-composed cell complexes over nD pictures '', '''Information Sciences 2018''' [https://www.sciencedirect.com/science/article/pii/S0020025518304481 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''A Tutorial on Well-Composedness,'' '''JMIV 2017''' [https://hal.archives-ouvertes.fr/hal-01609892/file/article.pdf PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in Z^n,'' '''DGCI 2017''' [https://hal.archives-ouvertes.fr/hal-01586418/document PDF]<br />
<br />
Edwin Carlinet, Yongchao Xu, Nicolas Boutry, Thierry Géraud, ''La pseudo-distance du Dahu, '' '''ORASIS 2017''' [https://www.lrde.epita.fr/wiki/Publications/carlinet.17.orasis PDF]<br />
<br />
Thierry Géraud, Yongchao Xu, Edwin Carlinet, Nicolas Boutry, ''Introducing the Dahu Pseudo-Distance,'' '''ISMM''' [https://www.lrde.epita.fr/wiki/Publications/geraud.17.ismm PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''About the equivalence between AWCness and DWCness,'' '''HAL 2016''' [https://hal-upec-upem.archives-ouvertes.fr/hal-01375621/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation,'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])<br />
<br />
== Link to my PhD report ==<br />
<br />
[https://pastel.archives-ouvertes.fr/tel-01531035 A Study of Well-composedness in ''n''-D]</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=125518User:Nboutry2020-07-12T13:08:48Z<p>Nboutry: /* Publications */</p>
<hr />
<div>== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company called MyCO2 to work on pattern recognition. He realized his Ph.D. thesis on well-composed images from 2014 to 2016 at EPITA on the [[Olena]] project and at the [http://ligm.u-pem.fr/ LIGM] at ESIEE Paris. He is now research assistant at EPITA, still on well-composed images and topological issues in nD discrete images.<br />
<br />
My ''curriculum vitae'' is available [https://www.lrde.epita.fr/images/d/d3/CV_Boutry_2018.pdf HERE].<br />
<br />
== Current status ==<br />
<br />
Research Associate:<br />
* Subject: A.I. applied to biomedical images, Well-composed images.<br />
* Advisors: [[User:Theo|Thierry Géraud]] (LRDE)<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
* Rational Databases (TP for 3rd-year students at EPITA)<br />
* Video Compression (5th-year students at EPITA)<br />
* Wavelets Theory (5th-year students at EPITA)<br />
* Deep Learning (5th-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Nicolas Boutry, Rocio Gonzalez-Diaz, Maria-Jose Jimenez, Eduardo Paluzo-Hildago, ''Euler Well-Composedness'', '''IWCIA 2020''' [https://iwcia2020.wordpress.com/ PDF]<br />
<br />
Nicolas Boutry, Rocio Gonzalez-Diaz, Laurent Najman, Thierry Géraud, ''A 4D counter-example showing that DWCness does not imply CWCness in n-D'', '''IWCIA 2020''' [https://iwcia2020.wordpress.com/ PDF]<br />
<br />
Michael Atlan, Julie Rivet, Antoine Taliercio, Nicolas Boutry, Guillaume Tochon, Jean-Pierre Huignard, ''Experimental digital Gabor hologram rendering of C. elegans worms by a model-trained convolutional neural network', '''SPIE Photonics 2020'''<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, Thierry Géraud, ''A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images'', '''LVQuan 2019''' [http://www.lrde.epita.fr/dload/papers/zhao.19.stacom.pdf PDF]<br />
<br />
Nicolas Boutry, Joseph Chazalon, Elodie Puybareau, Guillaume Tochon, Hugues Talbot, Thierry Géraud, ''Using separated inputs for multimodal brain tumor segmentation with 3D U-Net-like architectures'', '''BraTS 2019''' [https://www.lrde.epita.fr/dload/papers/boutry.19.brats.pdf PDF]<br />
<br />
Le Duy Huynh , Nicolas Boutry , Thierry Geraud, ''Connected Filters on Generalized Shape-Spaces'','''PRL 2019''' [https://www.lrde.epita.fr/wiki/Publications/huynh.19.prl PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''An Equivalence Relation between Morphological Dynamics and Persistent Homology in 1D'', '''ISMM 2019''' [https://www.lrde.epita.fr/wiki/Publications/boutry.19.ismm PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' One more step towards well-composedness of cell complexes over nD pictures '', '''DGCI 2019''' [https://link.springer.com/book/10.1007/978-3-030-14085-4 PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''How to Make n-D Plain Maps Alexandrov-Well-Composed in a Self-dual Way'', '''JMIV 2019''' [http://www.lrde.epita.fr/dload/papers/boutry.19.jmiv.pdf PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' Weakly well-composed cell complexes over nD pictures '', '''Information Sciences 2018''' [https://www.sciencedirect.com/science/article/pii/S0020025518304481 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''A Tutorial on Well-Composedness,'' '''JMIV 2017''' [https://hal.archives-ouvertes.fr/hal-01609892/file/article.pdf PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in Z^n,'' '''DGCI 2017''' [https://hal.archives-ouvertes.fr/hal-01586418/document PDF]<br />
<br />
Edwin Carlinet, Yongchao Xu, Nicolas Boutry, Thierry Géraud, ''La pseudo-distance du Dahu, '' '''ORASIS 2017''' [https://www.lrde.epita.fr/wiki/Publications/carlinet.17.orasis PDF]<br />
<br />
Thierry Géraud, Yongchao Xu, Edwin Carlinet, Nicolas Boutry, ''Introducing the Dahu Pseudo-Distance,'' '''ISMM''' [https://www.lrde.epita.fr/wiki/Publications/geraud.17.ismm PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''About the equivalence between AWCness and DWCness,'' '''HAL 2016''' [https://hal-upec-upem.archives-ouvertes.fr/hal-01375621/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation,'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])<br />
<br />
== Link to my PhD report ==<br />
<br />
[https://pastel.archives-ouvertes.fr/tel-01531035 A Study of Well-composedness in ''n''-D]</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=125517User:Nboutry2020-07-12T13:08:05Z<p>Nboutry: /* Publications */</p>
<hr />
<div>== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company called MyCO2 to work on pattern recognition. He realized his Ph.D. thesis on well-composed images from 2014 to 2016 at EPITA on the [[Olena]] project and at the [http://ligm.u-pem.fr/ LIGM] at ESIEE Paris. He is now research assistant at EPITA, still on well-composed images and topological issues in nD discrete images.<br />
<br />
My ''curriculum vitae'' is available [https://www.lrde.epita.fr/images/d/d3/CV_Boutry_2018.pdf HERE].<br />
<br />
== Current status ==<br />
<br />
Research Associate:<br />
* Subject: A.I. applied to biomedical images, Well-composed images.<br />
* Advisors: [[User:Theo|Thierry Géraud]] (LRDE)<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
* Rational Databases (TP for 3rd-year students at EPITA)<br />
* Video Compression (5th-year students at EPITA)<br />
* Wavelets Theory (5th-year students at EPITA)<br />
* Deep Learning (5th-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Nicolas Boutry, Rocio Gonzalez-Diaz, Maria-Jose Jimenez, Eduardo Paluzo-Hildago, ''Euler Well-Composedness'', '''IWCIA 2020''' [https://www.lrde.epita.fr/wiki/Publications/boutry.20.iwcia1.pdf PDF]<br />
<br />
Nicolas Boutry, Rocio Gonzalez-Diaz, Laurent Najman, Thierry Géraud, ''A 4D counter-example showing that DWCness does not imply CWCness in n-D'', '''IWCIA 2020''' [https://iwcia2020.wordpress.com/ PDF]<br />
<br />
Michael Atlan, Julie Rivet, Antoine Taliercio, Nicolas Boutry, Guillaume Tochon, Jean-Pierre Huignard, ''Experimental digital Gabor hologram rendering of C. elegans worms by a model-trained convolutional neural network', '''SPIE Photonics 2020'''<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, Thierry Géraud, ''A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images'', '''LVQuan 2019''' [http://www.lrde.epita.fr/dload/papers/zhao.19.stacom.pdf PDF]<br />
<br />
Nicolas Boutry, Joseph Chazalon, Elodie Puybareau, Guillaume Tochon, Hugues Talbot, Thierry Géraud, ''Using separated inputs for multimodal brain tumor segmentation with 3D U-Net-like architectures'', '''BraTS 2019''' [https://www.lrde.epita.fr/dload/papers/boutry.19.brats.pdf PDF]<br />
<br />
Le Duy Huynh , Nicolas Boutry , Thierry Geraud, ''Connected Filters on Generalized Shape-Spaces'','''PRL 2019''' [https://www.lrde.epita.fr/wiki/Publications/huynh.19.prl PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''An Equivalence Relation between Morphological Dynamics and Persistent Homology in 1D'', '''ISMM 2019''' [https://www.lrde.epita.fr/wiki/Publications/boutry.19.ismm PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' One more step towards well-composedness of cell complexes over nD pictures '', '''DGCI 2019''' [https://link.springer.com/book/10.1007/978-3-030-14085-4 PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''How to Make n-D Plain Maps Alexandrov-Well-Composed in a Self-dual Way'', '''JMIV 2019''' [http://www.lrde.epita.fr/dload/papers/boutry.19.jmiv.pdf PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' Weakly well-composed cell complexes over nD pictures '', '''Information Sciences 2018''' [https://www.sciencedirect.com/science/article/pii/S0020025518304481 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''A Tutorial on Well-Composedness,'' '''JMIV 2017''' [https://hal.archives-ouvertes.fr/hal-01609892/file/article.pdf PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in Z^n,'' '''DGCI 2017''' [https://hal.archives-ouvertes.fr/hal-01586418/document PDF]<br />
<br />
Edwin Carlinet, Yongchao Xu, Nicolas Boutry, Thierry Géraud, ''La pseudo-distance du Dahu, '' '''ORASIS 2017''' [https://www.lrde.epita.fr/wiki/Publications/carlinet.17.orasis PDF]<br />
<br />
Thierry Géraud, Yongchao Xu, Edwin Carlinet, Nicolas Boutry, ''Introducing the Dahu Pseudo-Distance,'' '''ISMM''' [https://www.lrde.epita.fr/wiki/Publications/geraud.17.ismm PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''About the equivalence between AWCness and DWCness,'' '''HAL 2016''' [https://hal-upec-upem.archives-ouvertes.fr/hal-01375621/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation,'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])<br />
<br />
== Link to my PhD report ==<br />
<br />
[https://pastel.archives-ouvertes.fr/tel-01531035 A Study of Well-composedness in ''n''-D]</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=125516User:Nboutry2020-07-12T07:24:10Z<p>Nboutry: /* Publications */</p>
<hr />
<div>== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company called MyCO2 to work on pattern recognition. He realized his Ph.D. thesis on well-composed images from 2014 to 2016 at EPITA on the [[Olena]] project and at the [http://ligm.u-pem.fr/ LIGM] at ESIEE Paris. He is now research assistant at EPITA, still on well-composed images and topological issues in nD discrete images.<br />
<br />
My ''curriculum vitae'' is available [https://www.lrde.epita.fr/images/d/d3/CV_Boutry_2018.pdf HERE].<br />
<br />
== Current status ==<br />
<br />
Research Associate:<br />
* Subject: A.I. applied to biomedical images, Well-composed images.<br />
* Advisors: [[User:Theo|Thierry Géraud]] (LRDE)<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
* Rational Databases (TP for 3rd-year students at EPITA)<br />
* Video Compression (5th-year students at EPITA)<br />
* Wavelets Theory (5th-year students at EPITA)<br />
* Deep Learning (5th-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Nicolas Boutry, Rocio Gonzalez-Diaz, Maria-Jose Jimenez, Eduardo Paluzo-Hildago, ''Euler Well-Composedness'', '''IWCIA 2020''' [https://iwcia2020.wordpress.com/ PDF]<br />
<br />
Nicolas Boutry, Rocio Gonzalez-Diaz, Laurent Najman, Thierry Géraud, ''A 4D counter-example showing that DWCness does not imply CWCness in n-D'', '''IWCIA 2020''' [https://iwcia2020.wordpress.com/ PDF]<br />
<br />
Michael Atlan, Julie Rivet, Antoine Taliercio, Nicolas Boutry, Guillaume Tochon, Jean-Pierre Huignard, ''Experimental digital Gabor hologram rendering of C. elegans worms by a model-trained convolutional neural network', '''SPIE Photonics 2020'''<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, Thierry Géraud, ''A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images'', '''LVQuan 2019''' [http://www.lrde.epita.fr/dload/papers/zhao.19.stacom.pdf PDF]<br />
<br />
Nicolas Boutry, Joseph Chazalon, Elodie Puybareau, Guillaume Tochon, Hugues Talbot, Thierry Géraud, ''Using separated inputs for multimodal brain tumor segmentation with 3D U-Net-like architectures'', '''BraTS 2019''' [https://www.lrde.epita.fr/dload/papers/boutry.19.brats.pdf PDF]<br />
<br />
Le Duy Huynh , Nicolas Boutry , Thierry Geraud, ''Connected Filters on Generalized Shape-Spaces'','''PRL 2019''' [https://www.lrde.epita.fr/wiki/Publications/huynh.19.prl PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''An Equivalence Relation between Morphological Dynamics and Persistent Homology in 1D'', '''ISMM 2019''' [https://www.lrde.epita.fr/wiki/Publications/boutry.19.ismm PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' One more step towards well-composedness of cell complexes over nD pictures '', '''DGCI 2019''' [https://link.springer.com/book/10.1007/978-3-030-14085-4 PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''How to Make n-D Plain Maps Alexandrov-Well-Composed in a Self-dual Way'', '''JMIV 2019''' [http://www.lrde.epita.fr/dload/papers/boutry.19.jmiv.pdf PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' Weakly well-composed cell complexes over nD pictures '', '''Information Sciences 2018''' [https://www.sciencedirect.com/science/article/pii/S0020025518304481 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''A Tutorial on Well-Composedness,'' '''JMIV 2017''' [https://hal.archives-ouvertes.fr/hal-01609892/file/article.pdf PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in Z^n,'' '''DGCI 2017''' [https://hal.archives-ouvertes.fr/hal-01586418/document PDF]<br />
<br />
Edwin Carlinet, Yongchao Xu, Nicolas Boutry, Thierry Géraud, ''La pseudo-distance du Dahu, '' '''ORASIS 2017''' [https://www.lrde.epita.fr/wiki/Publications/carlinet.17.orasis PDF]<br />
<br />
Thierry Géraud, Yongchao Xu, Edwin Carlinet, Nicolas Boutry, ''Introducing the Dahu Pseudo-Distance,'' '''ISMM''' [https://www.lrde.epita.fr/wiki/Publications/geraud.17.ismm PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''About the equivalence between AWCness and DWCness,'' '''HAL 2016''' [https://hal-upec-upem.archives-ouvertes.fr/hal-01375621/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation,'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])<br />
<br />
== Link to my PhD report ==<br />
<br />
[https://pastel.archives-ouvertes.fr/tel-01531035 A Study of Well-composedness in ''n''-D]</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=125515User:Nboutry2020-07-12T07:09:17Z<p>Nboutry: /* Publications */</p>
<hr />
<div>== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company called MyCO2 to work on pattern recognition. He realized his Ph.D. thesis on well-composed images from 2014 to 2016 at EPITA on the [[Olena]] project and at the [http://ligm.u-pem.fr/ LIGM] at ESIEE Paris. He is now research assistant at EPITA, still on well-composed images and topological issues in nD discrete images.<br />
<br />
My ''curriculum vitae'' is available [https://www.lrde.epita.fr/images/d/d3/CV_Boutry_2018.pdf HERE].<br />
<br />
== Current status ==<br />
<br />
Research Associate:<br />
* Subject: A.I. applied to biomedical images, Well-composed images.<br />
* Advisors: [[User:Theo|Thierry Géraud]] (LRDE)<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
* Rational Databases (TP for 3rd-year students at EPITA)<br />
* Video Compression (5th-year students at EPITA)<br />
* Wavelets Theory (5th-year students at EPITA)<br />
* Deep Learning (5th-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Nicolas Boutry, Rocio Gonzalez-Diaz, Maria-Jose Jimenez, Eduardo Paluzo-Hildago, ''Euler Well-Composedness'', '''IWCIA 2020'''<br />
<br />
Nicolas Boutry, Rocio Gonzalez-Diaz, Laurent Najman, Thierry Géraud, ''A 4D counter-example showing that DWCness does not imply CWCness in n-D'', '''IWCIA 2020'''<br />
<br />
Michael Atlan, Julie Rivet, Antoine Taliercio, Nicolas Boutry, Guillaume Tochon, Jean-Pierre Huignard, ''Experimental digital Gabor hologram rendering of C. elegans worms by a model-trained convolutional neural network', '''SPIE Photonics 2020'''<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, Thierry Géraud, ''A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images'', '''LVQuan 2019''' [http://www.lrde.epita.fr/dload/papers/zhao.19.stacom.pdf PDF]<br />
<br />
Nicolas Boutry, Joseph Chazalon, Elodie Puybareau, Guillaume Tochon, Hugues Talbot, Thierry Géraud, ''Using separated inputs for multimodal brain tumor segmentation with 3D U-Net-like architectures'', '''BraTS 2019''' [https://www.lrde.epita.fr/dload/papers/boutry.19.brats.pdf PDF]<br />
<br />
Le Duy Huynh , Nicolas Boutry , Thierry Geraud, ''Connected Filters on Generalized Shape-Spaces'','''PRL 2019''' [https://www.lrde.epita.fr/wiki/Publications/huynh.19.prl PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''An Equivalence Relation between Morphological Dynamics and Persistent Homology in 1D'', '''ISMM 2019''' [https://www.lrde.epita.fr/wiki/Publications/boutry.19.ismm PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' One more step towards well-composedness of cell complexes over nD pictures '', '''DGCI 2019''' [https://link.springer.com/book/10.1007/978-3-030-14085-4 PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''How to Make n-D Plain Maps Alexandrov-Well-Composed in a Self-dual Way'', '''JMIV 2019''' [http://www.lrde.epita.fr/dload/papers/boutry.19.jmiv.pdf PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' Weakly well-composed cell complexes over nD pictures '', '''Information Sciences 2018''' [https://www.sciencedirect.com/science/article/pii/S0020025518304481 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''A Tutorial on Well-Composedness,'' '''JMIV 2017''' [https://hal.archives-ouvertes.fr/hal-01609892/file/article.pdf PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in Z^n,'' '''DGCI 2017''' [https://hal.archives-ouvertes.fr/hal-01586418/document PDF]<br />
<br />
Edwin Carlinet, Yongchao Xu, Nicolas Boutry, Thierry Géraud, ''La pseudo-distance du Dahu, '' '''ORASIS 2017''' [https://www.lrde.epita.fr/wiki/Publications/carlinet.17.orasis PDF]<br />
<br />
Thierry Géraud, Yongchao Xu, Edwin Carlinet, Nicolas Boutry, ''Introducing the Dahu Pseudo-Distance,'' '''ISMM''' [https://www.lrde.epita.fr/wiki/Publications/geraud.17.ismm PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''About the equivalence between AWCness and DWCness,'' '''HAL 2016''' [https://hal-upec-upem.archives-ouvertes.fr/hal-01375621/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation,'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])<br />
<br />
== Link to my PhD report ==<br />
<br />
[https://pastel.archives-ouvertes.fr/tel-01531035 A Study of Well-composedness in ''n''-D]</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=125255User:Nboutry2020-06-03T11:24:03Z<p>Nboutry: </p>
<hr />
<div>== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company called MyCO2 to work on pattern recognition. He realized his Ph.D. thesis on well-composed images from 2014 to 2016 at EPITA on the [[Olena]] project and at the [http://ligm.u-pem.fr/ LIGM] at ESIEE Paris. He is now research assistant at EPITA, still on well-composed images and topological issues in nD discrete images.<br />
<br />
My ''curriculum vitae'' is available [https://www.lrde.epita.fr/images/d/d3/CV_Boutry_2018.pdf HERE].<br />
<br />
== Current status ==<br />
<br />
Research Associate:<br />
* Subject: A.I. applied to biomedical images, Well-composed images.<br />
* Advisors: [[User:Theo|Thierry Géraud]] (LRDE)<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
* Rational Databases (TP for 3rd-year students at EPITA)<br />
* Video Compression (5th-year students at EPITA)<br />
* Wavelets Theory (5th-year students at EPITA)<br />
* Deep Learning (5th-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Michael Atlan, Julie Rivet, Antoine Taliercio, Nicolas Boutry, Guillaume Tochon, Jean-Pierre Huignard, ''Experimental digital Gabor hologram rendering of C. elegans worms by a model-trained convolutional neural network', '''SPIE Photonics 2020'''<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, Thierry Géraud, ''A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images'', '''LVQuan 2019''' [http://www.lrde.epita.fr/dload/papers/zhao.19.stacom.pdf PDF]<br />
<br />
Nicolas Boutry, Joseph Chazalon, Elodie Puybareau, Guillaume Tochon, Hugues Talbot, Thierry Géraud, ''Using separated inputs for multimodal brain tumor segmentation with 3D U-Net-like architectures'', '''BraTS 2019''' [https://www.lrde.epita.fr/dload/papers/boutry.19.brats.pdf PDF]<br />
<br />
Le Duy Huynh , Nicolas Boutry , Thierry Geraud, ''Connected Filters on Generalized Shape-Spaces'','''PRL 2019''' [https://www.lrde.epita.fr/wiki/Publications/huynh.19.prl PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''An Equivalence Relation between Morphological Dynamics and Persistent Homology in 1D'', '''ISMM 2019''' [https://www.lrde.epita.fr/wiki/Publications/boutry.19.ismm PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' One more step towards well-composedness of cell complexes over nD pictures '', '''DGCI 2019''' [https://link.springer.com/book/10.1007/978-3-030-14085-4 PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''How to Make n-D Plain Maps Alexandrov-Well-Composed in a Self-dual Way'', '''JMIV 2019''' [http://www.lrde.epita.fr/dload/papers/boutry.19.jmiv.pdf PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' Weakly well-composed cell complexes over nD pictures '', '''Information Sciences 2018''' [https://www.sciencedirect.com/science/article/pii/S0020025518304481 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''A Tutorial on Well-Composedness,'' '''JMIV 2017''' [https://hal.archives-ouvertes.fr/hal-01609892/file/article.pdf PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in Z^n,'' '''DGCI 2017''' [https://hal.archives-ouvertes.fr/hal-01586418/document PDF]<br />
<br />
Edwin Carlinet, Yongchao Xu, Nicolas Boutry, Thierry Géraud, ''La pseudo-distance du Dahu, '' '''ORASIS 2017''' [https://www.lrde.epita.fr/wiki/Publications/carlinet.17.orasis PDF]<br />
<br />
Thierry Géraud, Yongchao Xu, Edwin Carlinet, Nicolas Boutry, ''Introducing the Dahu Pseudo-Distance,'' '''ISMM''' [https://www.lrde.epita.fr/wiki/Publications/geraud.17.ismm PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''About the equivalence between AWCness and DWCness,'' '''HAL 2016''' [https://hal-upec-upem.archives-ouvertes.fr/hal-01375621/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation,'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])<br />
<br />
== Link to my PhD report ==<br />
<br />
[https://pastel.archives-ouvertes.fr/tel-01531035 A Study of Well-composedness in ''n''-D]</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=125103User:Nboutry2020-03-09T22:36:37Z<p>Nboutry: /* Publications */</p>
<hr />
<div>== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company called MyCO2 to work on pattern recognition. He realized his Ph.D. thesis on well-composed images from 2014 to 2016 at EPITA on the [[Olena]] project and at the [http://ligm.u-pem.fr/ LIGM] at ESIEE Paris. He is now research assistant at EPITA, still on well-composed images and topological issues in nD discrete images.<br />
<br />
My ''curriculum vitae'' is available [https://www.lrde.epita.fr/images/d/d3/CV_Boutry_2018.pdf HERE].<br />
<br />
== Current status ==<br />
<br />
Research Associate:<br />
* Subject: A.I. applied to biomedical images, Well-composed images.<br />
* Advisors: [[User:Theo|Thierry Géraud]] (LRDE)<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
* Rational Databases (TP for 3rd-year students at EPITA)<br />
* Video Compression (5th-year students at EPITA)<br />
* Wavelets Theory (5th-year students at EPITA)<br />
* Deep Learning (5th-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Zhou Zhao, Nicolas Boutry, Elodie Puybareau, Thierry Géraud, ''A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images'', '''LVQuan 2019''' [http://www.lrde.epita.fr/dload/papers/zhao.19.stacom.pdf PDF]<br />
<br />
Nicolas Boutry, Joseph Chazalon, Elodie Puybareau, Guillaume Tochon, Hugues Talbot, Thierry Géraud, ''Using separated inputs for multimodal brain tumor segmentation with 3D U-Net-like architectures'', '''BraTS 2019''' [https://www.lrde.epita.fr/dload/papers/boutry.19.brats.pdf PDF]<br />
<br />
Le Duy Huynh , Nicolas Boutry , Thierry Geraud, ''Connected Filters on Generalized Shape-Spaces'','''PRL 2019''' [https://www.lrde.epita.fr/wiki/Publications/huynh.19.prl PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''An Equivalence Relation between Morphological Dynamics and Persistent Homology in 1D'', '''ISMM 2019''' [https://www.lrde.epita.fr/wiki/Publications/boutry.19.ismm PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' One more step towards well-composedness of cell complexes over nD pictures '', '''DGCI 2019''' [https://link.springer.com/book/10.1007/978-3-030-14085-4 PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''How to Make n-D Plain Maps Alexandrov-Well-Composed in a Self-dual Way'', '''JMIV 2019''' [http://www.lrde.epita.fr/dload/papers/boutry.19.jmiv.pdf PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' Weakly well-composed cell complexes over nD pictures '', '''Information Sciences 2018''' [https://www.sciencedirect.com/science/article/pii/S0020025518304481 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''A Tutorial on Well-Composedness,'' '''JMIV 2017''' [https://hal.archives-ouvertes.fr/hal-01609892/file/article.pdf PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in Z^n,'' '''DGCI 2017''' [https://hal.archives-ouvertes.fr/hal-01586418/document PDF]<br />
<br />
Edwin Carlinet, Yongchao Xu, Nicolas Boutry, Thierry Géraud, ''La pseudo-distance du Dahu, '' '''ORASIS 2017''' [https://www.lrde.epita.fr/wiki/Publications/carlinet.17.orasis PDF]<br />
<br />
Thierry Géraud, Yongchao Xu, Edwin Carlinet, Nicolas Boutry, ''Introducing the Dahu Pseudo-Distance,'' '''ISMM''' [https://www.lrde.epita.fr/wiki/Publications/geraud.17.ismm PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''About the equivalence between AWCness and DWCness,'' '''HAL 2016''' [https://hal-upec-upem.archives-ouvertes.fr/hal-01375621/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation,'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])<br />
<br />
== Link to my PhD report ==<br />
<br />
[https://pastel.archives-ouvertes.fr/tel-01531035 A Study of Well-composedness in ''n''-D]</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=125102User:Nboutry2020-03-09T22:31:57Z<p>Nboutry: /* Publications */</p>
<hr />
<div>== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company called MyCO2 to work on pattern recognition. He realized his Ph.D. thesis on well-composed images from 2014 to 2016 at EPITA on the [[Olena]] project and at the [http://ligm.u-pem.fr/ LIGM] at ESIEE Paris. He is now research assistant at EPITA, still on well-composed images and topological issues in nD discrete images.<br />
<br />
My ''curriculum vitae'' is available [https://www.lrde.epita.fr/images/d/d3/CV_Boutry_2018.pdf HERE].<br />
<br />
== Current status ==<br />
<br />
Research Associate:<br />
* Subject: A.I. applied to biomedical images, Well-composed images.<br />
* Advisors: [[User:Theo|Thierry Géraud]] (LRDE)<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
* Rational Databases (TP for 3rd-year students at EPITA)<br />
* Video Compression (5th-year students at EPITA)<br />
* Wavelets Theory (5th-year students at EPITA)<br />
* Deep Learning (5th-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Nicolas Boutry, Joseph Chazalon, Elodie Puybareau, Guillaume Tochon, Hugues Talbot, Thierry Géraud, ''Using separated inputs for multimodal brain tumor segmentation with 3D U-Net-like architectures'', '''BraTS 2019''' [https://www.lrde.epita.fr/dload/papers/boutry.19.brats.pdf PDF]<br />
<br />
Le Duy Huynh , Nicolas Boutry , Thierry Geraud, ''Connected Filters on Generalized Shape-Spaces'','''PRL 2019''' [https://www.lrde.epita.fr/wiki/Publications/huynh.19.prl PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''An Equivalence Relation between Morphological Dynamics and Persistent Homology in 1D'', '''ISMM 2019''' [https://www.lrde.epita.fr/wiki/Publications/boutry.19.ismm PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' One more step towards well-composedness of cell complexes over nD pictures '', '''DGCI 2019''' [https://link.springer.com/book/10.1007/978-3-030-14085-4 PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''How to Make n-D Plain Maps Alexandrov-Well-Composed in a Self-dual Way'', '''JMIV 2019''' [http://www.lrde.epita.fr/dload/papers/boutry.19.jmiv.pdf PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' Weakly well-composed cell complexes over nD pictures '', '''Information Sciences 2018''' [https://www.sciencedirect.com/science/article/pii/S0020025518304481 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''A Tutorial on Well-Composedness,'' '''JMIV 2017''' [https://hal.archives-ouvertes.fr/hal-01609892/file/article.pdf PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in Z^n,'' '''DGCI 2017''' [https://hal.archives-ouvertes.fr/hal-01586418/document PDF]<br />
<br />
Edwin Carlinet, Yongchao Xu, Nicolas Boutry, Thierry Géraud, ''La pseudo-distance du Dahu, '' '''ORASIS 2017''' [https://www.lrde.epita.fr/wiki/Publications/carlinet.17.orasis PDF]<br />
<br />
Thierry Géraud, Yongchao Xu, Edwin Carlinet, Nicolas Boutry, ''Introducing the Dahu Pseudo-Distance,'' '''ISMM''' [https://www.lrde.epita.fr/wiki/Publications/geraud.17.ismm PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''About the equivalence between AWCness and DWCness,'' '''HAL 2016''' [https://hal-upec-upem.archives-ouvertes.fr/hal-01375621/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation,'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])<br />
<br />
== Link to my PhD report ==<br />
<br />
[https://pastel.archives-ouvertes.fr/tel-01531035 A Study of Well-composedness in ''n''-D]</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=124354User:Nboutry2019-10-01T03:04:47Z<p>Nboutry: /* Publications */</p>
<hr />
<div>== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company called MyCO2 to work on pattern recognition. He realized his Ph.D. thesis on well-composed images from 2014 to 2016 at EPITA on the [[Olena]] project and at the [http://ligm.u-pem.fr/ LIGM] at ESIEE Paris. He is now research assistant at EPITA, still on well-composed images and topological issues in nD discrete images.<br />
<br />
My ''curriculum vitae'' is available [https://www.lrde.epita.fr/images/d/d3/CV_Boutry_2018.pdf HERE].<br />
<br />
== Current status ==<br />
<br />
Research Associate:<br />
* Subject: A.I. applied to biomedical images, Well-composed images.<br />
* Advisors: [[User:Theo|Thierry Géraud]] (LRDE)<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
* Rational Databases (TP for 3rd-year students at EPITA)<br />
* Video Compression (5th-year students at EPITA)<br />
* Wavelets Theory (5th-year students at EPITA)<br />
* Deep Learning (5th-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Le Duy Huynh , Nicolas Boutry , Thierry Geraud, ''Connected Filters on Generalized Shape-Spaces'','''PRL 2019''' [https://www.lrde.epita.fr/wiki/Publications/huynh.19.prl PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''An Equivalence Relation between Morphological Dynamics and Persistent Homology in 1D'', '''ISMM 2019''' [https://www.lrde.epita.fr/wiki/Publications/boutry.19.ismm PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' One more step towards well-composedness of cell complexes over nD pictures '', '''DGCI 2019''' [https://link.springer.com/book/10.1007/978-3-030-14085-4 PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''How to Make n-D Plain Maps Alexandrov-Well-Composed in a Self-dual Way'', '''JMIV 2019''' [http://www.lrde.epita.fr/dload/papers/boutry.19.jmiv.pdf PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' Weakly well-composed cell complexes over nD pictures '', '''Information Sciences 2018''' [https://www.sciencedirect.com/science/article/pii/S0020025518304481 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''A Tutorial on Well-Composedness,'' '''JMIV 2017''' [https://hal.archives-ouvertes.fr/hal-01609892/file/article.pdf PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in Z^n,'' '''DGCI 2017''' [https://hal.archives-ouvertes.fr/hal-01586418/document PDF]<br />
<br />
Edwin Carlinet, Yongchao Xu, Nicolas Boutry, Thierry Géraud, ''La pseudo-distance du Dahu, '' '''ORASIS 2017''' [https://www.lrde.epita.fr/wiki/Publications/carlinet.17.orasis PDF]<br />
<br />
Thierry Géraud, Yongchao Xu, Edwin Carlinet, Nicolas Boutry, ''Introducing the Dahu Pseudo-Distance,'' '''ISMM''' [https://www.lrde.epita.fr/wiki/Publications/geraud.17.ismm PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''About the equivalence between AWCness and DWCness,'' '''HAL 2016''' [https://hal-upec-upem.archives-ouvertes.fr/hal-01375621/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation,'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])<br />
<br />
== Link to my PhD report ==<br />
<br />
[https://pastel.archives-ouvertes.fr/tel-01531035 A Study of Well-composedness in ''n''-D]</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=124353User:Nboutry2019-10-01T02:57:00Z<p>Nboutry: /* Publications */</p>
<hr />
<div>== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company called MyCO2 to work on pattern recognition. He realized his Ph.D. thesis on well-composed images from 2014 to 2016 at EPITA on the [[Olena]] project and at the [http://ligm.u-pem.fr/ LIGM] at ESIEE Paris. He is now research assistant at EPITA, still on well-composed images and topological issues in nD discrete images.<br />
<br />
My ''curriculum vitae'' is available [https://www.lrde.epita.fr/images/d/d3/CV_Boutry_2018.pdf HERE].<br />
<br />
== Current status ==<br />
<br />
Research Associate:<br />
* Subject: A.I. applied to biomedical images, Well-composed images.<br />
* Advisors: [[User:Theo|Thierry Géraud]] (LRDE)<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
* Rational Databases (TP for 3rd-year students at EPITA)<br />
* Video Compression (5th-year students at EPITA)<br />
* Wavelets Theory (5th-year students at EPITA)<br />
* Deep Learning (5th-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Le Duy Huynh , Nicolas Boutry , Thierry Geraud, ''Connected Filters on Generalized Shape-Spaces'','''PRL 2019''' [https://www.lrde.epita.fr/wiki/Publications/huynh.19.prl PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''An Equivalence Relation between Morphological Dynamics and Persistent Homology in 1D'', '''ISMM 2019''' [https://www.lrde.epita.fr/wiki/Publications/boutry.19.ismm PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' One more step towards well-composedness of cell complexes over nD pictures '', '''DGCI 2019''' [https://link.springer.com/book/10.1007/978-3-030-14085-4 PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''How to Make n-D Plain Maps Alexandrov-Well-Composed in a Self-dual Way'', '''JMIV 2019''' [http://www.lrde.epita.fr/dload/papers/boutry.19.jmiv.pdf PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' Weakly well-composed cell complexes over nD pictures '', '''Information Sciences 2018''' [https://www.sciencedirect.com/science/article/pii/S0020025518304481 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''A Tutorial on Well-Composedness,'' '''JMIV 2017''' [https://hal.archives-ouvertes.fr/hal-01609892/file/article.pdf PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in Z^n,'' '''DGCI 2017''' [https://hal.archives-ouvertes.fr/hal-01586418/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''About the equivalence between AWCness and DWCness,'' '''HAL 2016''' [https://hal-upec-upem.archives-ouvertes.fr/hal-01375621/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation,'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])<br />
<br />
== Link to my PhD report ==<br />
<br />
[https://pastel.archives-ouvertes.fr/tel-01531035 A Study of Well-composedness in ''n''-D]</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=124352User:Nboutry2019-10-01T02:55:33Z<p>Nboutry: /* Publications */</p>
<hr />
<div>== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company called MyCO2 to work on pattern recognition. He realized his Ph.D. thesis on well-composed images from 2014 to 2016 at EPITA on the [[Olena]] project and at the [http://ligm.u-pem.fr/ LIGM] at ESIEE Paris. He is now research assistant at EPITA, still on well-composed images and topological issues in nD discrete images.<br />
<br />
My ''curriculum vitae'' is available [https://www.lrde.epita.fr/images/d/d3/CV_Boutry_2018.pdf HERE].<br />
<br />
== Current status ==<br />
<br />
Research Associate:<br />
* Subject: A.I. applied to biomedical images, Well-composed images.<br />
* Advisors: [[User:Theo|Thierry Géraud]] (LRDE)<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
* Rational Databases (TP for 3rd-year students at EPITA)<br />
* Video Compression (5th-year students at EPITA)<br />
* Wavelets Theory (5th-year students at EPITA)<br />
* Deep Learning (5th-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Le Duy Huynh , Nicolas Boutry , Thierry Geraud, ''Connected Filters on Generalized Shape-Spaces'','''PRL 2019''' [https://www.lrde.epita.fr/dload/papers/huynh.19.prl.pdf]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''An Equivalence Relation between Morphological Dynamics and Persistent Homology in 1D'', '''ISMM 2019''' [https://www.lrde.epita.fr/wiki/Publications/boutry.19.ismm PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' One more step towards well-composedness of cell complexes over nD pictures '', '''DGCI 2019''' [https://link.springer.com/book/10.1007/978-3-030-14085-4 PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''How to Make n-D Plain Maps Alexandrov-Well-Composed in a Self-dual Way'', '''JMIV 2019''' [http://www.lrde.epita.fr/dload/papers/boutry.19.jmiv.pdf PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' Weakly well-composed cell complexes over nD pictures '', '''Information Sciences 2018''' [https://www.sciencedirect.com/science/article/pii/S0020025518304481 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''A Tutorial on Well-Composedness,'' '''JMIV 2017''' [https://hal.archives-ouvertes.fr/hal-01609892/file/article.pdf PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in Z^n,'' '''DGCI 2017''' [https://hal.archives-ouvertes.fr/hal-01586418/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''About the equivalence between AWCness and DWCness,'' '''HAL 2016''' [https://hal-upec-upem.archives-ouvertes.fr/hal-01375621/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation,'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])<br />
<br />
== Link to my PhD report ==<br />
<br />
[https://pastel.archives-ouvertes.fr/tel-01531035 A Study of Well-composedness in ''n''-D]</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=124249User:Nboutry2019-09-02T11:19:37Z<p>Nboutry: /* Current status */</p>
<hr />
<div>== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company called MyCO2 to work on pattern recognition. He realized his Ph.D. thesis on well-composed images from 2014 to 2016 at EPITA on the [[Olena]] project and at the [http://ligm.u-pem.fr/ LIGM] at ESIEE Paris. He is now research assistant at EPITA, still on well-composed images and topological issues in nD discrete images.<br />
<br />
My ''curriculum vitae'' is available [https://www.lrde.epita.fr/images/d/d3/CV_Boutry_2018.pdf HERE].<br />
<br />
== Current status ==<br />
<br />
Research Associate:<br />
* Subject: A.I. applied to biomedical images, Well-composed images.<br />
* Advisors: [[User:Theo|Thierry Géraud]] (LRDE)<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
* Rational Databases (TP for 3rd-year students at EPITA)<br />
* Video Compression (5th-year students at EPITA)<br />
* Wavelets Theory (5th-year students at EPITA)<br />
* Deep Learning (5th-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''An Equivalence Relation between Morphological Dynamics and Persistent Homology in 1D'', '''ISMM 2019''' [https://www.lrde.epita.fr/wiki/Publications/boutry.19.ismm PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' One more step towards well-composedness of cell complexes over nD pictures '', '''DGCI 2019''' [https://link.springer.com/book/10.1007/978-3-030-14085-4 PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''How to Make n-D Plain Maps Alexandrov-Well-Composed in a Self-dual Way'', '''JMIV 2019''' [http://www.lrde.epita.fr/dload/papers/boutry.19.jmiv.pdf PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' Weakly well-composed cell complexes over nD pictures '', '''Information Sciences 2018''' [https://www.sciencedirect.com/science/article/pii/S0020025518304481 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''A Tutorial on Well-Composedness,'' '''JMIV 2017''' [https://hal.archives-ouvertes.fr/hal-01609892/file/article.pdf PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in Z^n,'' '''DGCI 2017''' [https://hal.archives-ouvertes.fr/hal-01586418/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''About the equivalence between AWCness and DWCness,'' '''HAL 2016''' [https://hal-upec-upem.archives-ouvertes.fr/hal-01375621/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation,'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])<br />
<br />
== Link to my PhD report ==<br />
<br />
[https://pastel.archives-ouvertes.fr/tel-01531035 A Study of Well-composedness in ''n''-D]</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=123192User:Nboutry2019-03-25T17:53:07Z<p>Nboutry: /* Publications */</p>
<hr />
<div>== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company called MyCO2 to work on pattern recognition. He realized his Ph.D. thesis on well-composed images from 2014 to 2016 at EPITA on the [[Olena]] project and at the [http://ligm.u-pem.fr/ LIGM] at ESIEE Paris. He is now research assistant at EPITA, still on well-composed images and topological issues in nD discrete images.<br />
<br />
My ''curriculum vitae'' is available [https://www.lrde.epita.fr/images/d/d3/CV_Boutry_2018.pdf HERE].<br />
<br />
== Current status ==<br />
<br />
Research Assistant:<br />
* Subject: Well-composed images<br />
* Advisors: [[User:Theo|Thierry Géraud]] (LRDE)<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
* Rational Databases (TP for 3rd-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''An Equivalence Relation between Morphological Dynamics and Persistent Homology in 1D'', '''ISMM 2019''' [https://www.lrde.epita.fr/wiki/Publications/boutry.19.ismm PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' One more step towards well-composedness of cell complexes over nD pictures '', '''DGCI 2019''' [https://link.springer.com/book/10.1007/978-3-030-14085-4 PDF]<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''How to Make n-D Plain Maps Alexandrov-Well-Composed in a Self-dual Way'', '''JMIV 2019''' [http://www.lrde.epita.fr/dload/papers/boutry.19.jmiv.pdf PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' Weakly well-composed cell complexes over nD pictures '', '''Information Sciences 2018''' [https://www.sciencedirect.com/science/article/pii/S0020025518304481 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''A Tutorial on Well-Composedness,'' '''JMIV 2017''' [https://hal.archives-ouvertes.fr/hal-01609892/file/article.pdf PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in Z^n,'' '''DGCI 2017''' [https://hal.archives-ouvertes.fr/hal-01586418/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''About the equivalence between AWCness and DWCness,'' '''HAL 2016''' [https://hal-upec-upem.archives-ouvertes.fr/hal-01375621/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation,'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])<br />
<br />
== Link to my PhD report ==<br />
<br />
[https://pastel.archives-ouvertes.fr/tel-01531035 A Study of Well-composedness in ''n''-D]</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=123093User:Nboutry2019-02-24T03:21:25Z<p>Nboutry: /* Publications */</p>
<hr />
<div>== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company called MyCO2 to work on pattern recognition. He realized his Ph.D. thesis on well-composed images from 2014 to 2016 at EPITA on the [[Olena]] project and at the [http://ligm.u-pem.fr/ LIGM] at ESIEE Paris. He is now research assistant at EPITA, still on well-composed images and topological issues in nD discrete images.<br />
<br />
My ''curriculum vitae'' is available [https://www.lrde.epita.fr/images/d/d3/CV_Boutry_2018.pdf HERE].<br />
<br />
== Current status ==<br />
<br />
Research Assistant:<br />
* Subject: Well-composed images<br />
* Advisors: [[User:Theo|Thierry Géraud]] (LRDE)<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
* Rational Databases (TP for 3rd-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''How to Make n-D Plain Maps Alexandrov-Well-Composed in a Self-dual Way'', '''JMIV 2019''' [http://www.lrde.epita.fr/dload/papers/boutry.19.jmiv.pdf PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' Weakly well-composed cell complexes over nD pictures '', '''Information Sciences 2018''' [https://www.sciencedirect.com/science/article/pii/S0020025518304481 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''A Tutorial on Well-Composedness,'' '''JMIV 2017''' [https://hal.archives-ouvertes.fr/hal-01609892/file/article.pdf PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in Z^n,'' '''DGCI 2017''' [https://hal.archives-ouvertes.fr/hal-01586418/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''About the equivalence between AWCness and DWCness,'' '''HAL 2016''' [https://hal-upec-upem.archives-ouvertes.fr/hal-01375621/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation,'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])<br />
<br />
== Link to my PhD report ==<br />
<br />
[https://pastel.archives-ouvertes.fr/tel-01531035 A Study of Well-composedness in ''n''-D]</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=123092User:Nboutry2019-02-24T03:21:02Z<p>Nboutry: /* Publications */</p>
<hr />
<div>== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company called MyCO2 to work on pattern recognition. He realized his Ph.D. thesis on well-composed images from 2014 to 2016 at EPITA on the [[Olena]] project and at the [http://ligm.u-pem.fr/ LIGM] at ESIEE Paris. He is now research assistant at EPITA, still on well-composed images and topological issues in nD discrete images.<br />
<br />
My ''curriculum vitae'' is available [https://www.lrde.epita.fr/images/d/d3/CV_Boutry_2018.pdf HERE].<br />
<br />
== Current status ==<br />
<br />
Research Assistant:<br />
* Subject: Well-composed images<br />
* Advisors: [[User:Theo|Thierry Géraud]] (LRDE)<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
* Rational Databases (TP for 3rd-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''How to Make n-D Plain Maps Alexandrov-Well-Composed in a Self-dual Way'', '''2019''' [http://www.lrde.epita.fr/dload/papers/boutry.19.jmiv.pdf PDF]<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' Weakly well-composed cell complexes over nD pictures '', '''Information Sciences 2018''' [https://www.sciencedirect.com/science/article/pii/S0020025518304481 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''A Tutorial on Well-Composedness,'' '''JMIV 2017''' [https://hal.archives-ouvertes.fr/hal-01609892/file/article.pdf PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in Z^n,'' '''DGCI 2017''' [https://hal.archives-ouvertes.fr/hal-01586418/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''About the equivalence between AWCness and DWCness,'' '''HAL 2016''' [https://hal-upec-upem.archives-ouvertes.fr/hal-01375621/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation,'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])<br />
<br />
== Link to my PhD report ==<br />
<br />
[https://pastel.archives-ouvertes.fr/tel-01531035 A Study of Well-composedness in ''n''-D]</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=123091User:Nboutry2019-02-24T03:20:42Z<p>Nboutry: </p>
<hr />
<div>== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company called MyCO2 to work on pattern recognition. He realized his Ph.D. thesis on well-composed images from 2014 to 2016 at EPITA on the [[Olena]] project and at the [http://ligm.u-pem.fr/ LIGM] at ESIEE Paris. He is now research assistant at EPITA, still on well-composed images and topological issues in nD discrete images.<br />
<br />
My ''curriculum vitae'' is available [https://www.lrde.epita.fr/images/d/d3/CV_Boutry_2018.pdf HERE].<br />
<br />
== Current status ==<br />
<br />
Research Assistant:<br />
* Subject: Well-composed images<br />
* Advisors: [[User:Theo|Thierry Géraud]] (LRDE)<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
* Rational Databases (TP for 3rd-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Nicolas Boutry, Thierry Géraud, Laurent Najman, ''How to Make n-D Plain Maps Alexandrov-Well-Composed in a Self-dual Way'', '''2019''' [http://www.lrde.epita.fr/dload/papers/boutry.19.jmiv.pdf PDF]<br />
<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' Weakly well-composed cell complexes over nD pictures '', '''Information Sciences 2018''' [https://www.sciencedirect.com/science/article/pii/S0020025518304481 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''A Tutorial on Well-Composedness,'' '''JMIV 2017''' [https://hal.archives-ouvertes.fr/hal-01609892/file/article.pdf PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in Z^n,'' '''DGCI 2017''' [https://hal.archives-ouvertes.fr/hal-01586418/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''About the equivalence between AWCness and DWCness,'' '''HAL 2016''' [https://hal-upec-upem.archives-ouvertes.fr/hal-01375621/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation,'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])<br />
<br />
== Link to my PhD report ==<br />
<br />
[https://pastel.archives-ouvertes.fr/tel-01531035 A Study of Well-composedness in ''n''-D]</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=122080User:Nboutry2018-06-25T22:19:08Z<p>Nboutry: </p>
<hr />
<div>== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company called MyCO2 to work on pattern recognition. He realized his Ph.D. thesis on well-composed images from 2014 to 2016 at EPITA on the [[Olena]] project and at the [http://ligm.u-pem.fr/ LIGM] at ESIEE Paris. He is now research assistant at EPITA, still on well-composed images and topological issues in nD discrete images.<br />
<br />
My ''curriculum vitae'' is available [https://www.lrde.epita.fr/images/d/d3/CV_Boutry_2018.pdf HERE].<br />
<br />
== Current status ==<br />
<br />
Research Assistant:<br />
* Subject: Well-composed images<br />
* Advisors: [[User:Theo|Thierry Géraud]] (LRDE)<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
* Rational Databases (TP for 3rd-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' Weakly well-composed cell complexes over nD pictures '', '''Information Sciences 2018''' [https://www.sciencedirect.com/science/article/pii/S0020025518304481 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''A Tutorial on Well-Composedness,'' '''JMIV 2017''' [https://hal.archives-ouvertes.fr/hal-01609892/file/article.pdf PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in Z^n,'' '''DGCI 2017''' [https://hal.archives-ouvertes.fr/hal-01586418/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''About the equivalence between AWCness and DWCness,'' '''HAL 2016''' [https://hal-upec-upem.archives-ouvertes.fr/hal-01375621/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation,'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])<br />
<br />
== Link to my PhD report ==<br />
<br />
[https://pastel.archives-ouvertes.fr/tel-01531035 A Study of Well-composedness in ''n''-D]</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=122079User:Nboutry2018-06-25T22:17:49Z<p>Nboutry: </p>
<hr />
<div>== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company called MyCO2 to work on pattern recognition. He realized his Ph.D. thesis on well-composed images from 2014 to 2016 at EPITA on the [[Olena]] project and at the [http://ligm.u-pem.fr/ LIGM] at ESIEE Paris. He is now research assistant at EPITA, still on well-composed images and topological issues in nD discrete images.<br />
<br />
My ''curriculum vitae'' is available [https://www.lrde.epita.fr/images/d/d3/CV_Boutry_2018.pdf HERE].<br />
<br />
== Current status ==<br />
<br />
Research Assistant:<br />
* Subject: Well-composed images<br />
* Advisors: [[User:Theo|Thierry Géraud]] (LRDE)<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Nicolas Boutry, Maria-Jose Jimenez, Rocio Gonzalez-Diaz, '' Weakly well-composed cell complexes over nD pictures '', '''Information Sciences 2018''' [ https://www.sciencedirect.com/science/article/pii/S0020025518304481 PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''A Tutorial on Well-Composedness,'' '''JMIV 2017''' [https://hal.archives-ouvertes.fr/hal-01609892/file/article.pdf PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in Z^n,'' '''DGCI 2017''' [https://hal.archives-ouvertes.fr/hal-01586418/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''About the equivalence between AWCness and DWCness,'' '''HAL 2016''' [https://hal-upec-upem.archives-ouvertes.fr/hal-01375621/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation,'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])<br />
<br />
== Link to my PhD report ==<br />
<br />
[https://pastel.archives-ouvertes.fr/tel-01531035 A Study of Well-composedness in ''n''-D]</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=121107User:Nboutry2018-01-17T13:34:33Z<p>Nboutry: /* Short bio */</p>
<hr />
<div>== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company called MyCO2 to work on pattern recognition. He realized his Ph.D. thesis on well-composed images from 2014 to 2016 at EPITA on the [[Olena]] project and at the [http://ligm.u-pem.fr/ LIGM] at ESIEE Paris. He is now research assistant at EPITA, still on well-composed images and topological issues in nD discrete images.<br />
<br />
My ''curriculum vitae'' is available [https://www.lrde.epita.fr/images/d/d3/CV_Boutry_2018.pdf HERE].<br />
<br />
== Current status ==<br />
<br />
Research Assistant:<br />
* Subject: Well-composed images<br />
* Advisors: [[User:Theo|Thierry Géraud]] (LRDE)<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''A Tutorial on Well-Composedness,'' '''JMIV 2017''' [https://hal.archives-ouvertes.fr/hal-01609892/file/article.pdf PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in Z^n,'' '''DGCI 2017''' [https://hal.archives-ouvertes.fr/hal-01586418/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''About the equivalence between AWCness and DWCness,'' '''HAL 2016''' [https://hal-upec-upem.archives-ouvertes.fr/hal-01375621/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation,'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])<br />
<br />
== Link to my PhD report ==<br />
<br />
[https://pastel.archives-ouvertes.fr/tel-01531035 A Study of Well-composedness in ''n''-D]</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=File:CV_Boutry_2018.pdf&diff=121106File:CV Boutry 2018.pdf2018-01-17T13:33:31Z<p>Nboutry: CV Boutry 2018</p>
<hr />
<div>CV Boutry 2018</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=121105User:Nboutry2018-01-17T13:22:47Z<p>Nboutry: /* Publications */</p>
<hr />
<div>== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company called MyCO2 to work on pattern recognition. He realized his Ph.D. thesis on well-composed images from 2014 to 2016 at EPITA on the [[Olena]] project and at the [http://ligm.u-pem.fr/ LIGM] at ESIEE Paris. He is now research assistant at EPITA, still on well-composed images and topological issues in nD discrete images.<br />
<br />
My ''curriculum vitae'' is available [http://www.lrde.epita.fr/~theo/private/boutry_cv.pdf HERE].<br />
<br />
== Current status ==<br />
<br />
Research Assistant:<br />
* Subject: Well-composed images<br />
* Advisors: [[User:Theo|Thierry Géraud]] (LRDE)<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''A Tutorial on Well-Composedness,'' '''JMIV 2017''' [https://hal.archives-ouvertes.fr/hal-01609892/file/article.pdf PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in Z^n,'' '''DGCI 2017''' [https://hal.archives-ouvertes.fr/hal-01586418/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''About the equivalence between AWCness and DWCness,'' '''HAL 2016''' [https://hal-upec-upem.archives-ouvertes.fr/hal-01375621/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation,'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])<br />
<br />
== Link to my PhD report ==<br />
<br />
[https://pastel.archives-ouvertes.fr/tel-01531035 A Study of Well-composedness in ''n''-D]</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=121104User:Nboutry2018-01-17T13:21:12Z<p>Nboutry: /* Publications */</p>
<hr />
<div>== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company called MyCO2 to work on pattern recognition. He realized his Ph.D. thesis on well-composed images from 2014 to 2016 at EPITA on the [[Olena]] project and at the [http://ligm.u-pem.fr/ LIGM] at ESIEE Paris. He is now research assistant at EPITA, still on well-composed images and topological issues in nD discrete images.<br />
<br />
My ''curriculum vitae'' is available [http://www.lrde.epita.fr/~theo/private/boutry_cv.pdf HERE].<br />
<br />
== Current status ==<br />
<br />
Research Assistant:<br />
* Subject: Well-composed images<br />
* Advisors: [[User:Theo|Thierry Géraud]] (LRDE)<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''A Tutorial on Well-Composedness,'' '''JMIV 2017''' [https://hal.archives-ouvertes.fr/hal-01609892/file/article.pdf PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in Z^n,'' '''DGCI 2017''' [https://hal.archives-ouvertes.fr/hal-01586418/document PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''About the equivalence between AWCness and DWCness,'' '''HAL 2016''' [https://hal-upec-upem.archives-ouvertes.fr/hal-01375621/document<br />
PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation,'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])<br />
<br />
== Link to my PhD report ==<br />
<br />
[https://pastel.archives-ouvertes.fr/tel-01531035 A Study of Well-composedness in ''n''-D]</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=121103User:Nboutry2018-01-17T13:20:53Z<p>Nboutry: /* Publications */</p>
<hr />
<div>== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company called MyCO2 to work on pattern recognition. He realized his Ph.D. thesis on well-composed images from 2014 to 2016 at EPITA on the [[Olena]] project and at the [http://ligm.u-pem.fr/ LIGM] at ESIEE Paris. He is now research assistant at EPITA, still on well-composed images and topological issues in nD discrete images.<br />
<br />
My ''curriculum vitae'' is available [http://www.lrde.epita.fr/~theo/private/boutry_cv.pdf HERE].<br />
<br />
== Current status ==<br />
<br />
Research Assistant:<br />
* Subject: Well-composed images<br />
* Advisors: [[User:Theo|Thierry Géraud]] (LRDE)<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''A Tutorial on Well-Composedness,'' '''JMIV 2017''' [https://hal.archives-ouvertes.fr/hal-01609892/file/article.pdf PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in Z^n,'' '''DGCI 2017''' [https://hal.archives-ouvertes.fr/hal-01586418/document PDF]<br />
<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''About the equivalence between AWCness and DWCness,'' '''HAL 2016''' [https://hal-upec-upem.archives-ouvertes.fr/hal-01375621/document<br />
PDF]<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation,'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])<br />
<br />
== Link to my PhD report ==<br />
<br />
[https://pastel.archives-ouvertes.fr/tel-01531035 A Study of Well-composedness in ''n''-D]</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=121102User:Nboutry2018-01-17T13:15:55Z<p>Nboutry: </p>
<hr />
<div>== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company called MyCO2 to work on pattern recognition. He realized his Ph.D. thesis on well-composed images from 2014 to 2016 at EPITA on the [[Olena]] project and at the [http://ligm.u-pem.fr/ LIGM] at ESIEE Paris. He is now research assistant at EPITA, still on well-composed images and topological issues in nD discrete images.<br />
<br />
My ''curriculum vitae'' is available [http://www.lrde.epita.fr/~theo/private/boutry_cv.pdf HERE].<br />
<br />
== Current status ==<br />
<br />
Research Assistant:<br />
* Subject: Well-composed images<br />
* Advisors: [[User:Theo|Thierry Géraud]] (LRDE)<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation,'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])<br />
<br />
== Link to my PhD report ==<br />
<br />
[https://pastel.archives-ouvertes.fr/tel-01531035 A Study of Well-composedness in ''n''-D]</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=121101User:Nboutry2018-01-17T13:12:35Z<p>Nboutry: </p>
<hr />
<div>== '''HOT''' ==<br />
<br />
Annoncement of my PhD defense: [[Affiche-these-NB]]<br />
<br />
== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company called MyCO2 to work on pattern recognition. He realized his Ph.D. thesis on well-composed images from 2014 to 2016 at EPITA on the [[Olena]] project and at the [http://ligm.u-pem.fr/ LIGM] at ESIEE Paris. He is now research assistant at EPITA, still on well-composed images and topological issues in nD discrete images.<br />
<br />
My ''curriculum vitae'' is available [http://www.lrde.epita.fr/~theo/private/boutry_cv.pdf HERE].<br />
<br />
== Current status ==<br />
<br />
Research Assistant:<br />
* Subject: Well-composed images<br />
* Advisors: [[User:Theo|Thierry Géraud]] (LRDE)<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation,'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])<br />
<br />
== Table of contents of the PhD report: A Study of Well-composedness in ''n''-D ==<br />
<br />
<small>Lexicon:</small><br><br />
* <small>AWCness = Alexandrov Well-Composedness</small><br><br />
* <small>DWCness = Digital Well-Composedness</small><br><br />
* <small>CWCness = Continuous Well-Composedness</small><br><br />
<br><br />
'''1 Introduction'''<br><br />
<br><br />
'''2 State-of-the-art'''<br><br />
2.1 Mathematical basics<br><br />
2.2 Well-composed sets and images<br><br />
2.3 Topological repairing and well-composed interpolations<br><br />
2.4 Topics related to well-composedness<br><br />
<br><br />
'''3 Generalization of well-composedness to dimension ''n'' '''<br><br />
3.1 The different flavours of ''n''-D WCnesses in brief<br><br />
3.2 Mathematical basics<br><br />
3.3 ''n''-D EWCness and ''n''-D DWCness<br><br />
3.4 Relations between AWCness, DWCness, and CWCness<br><br />
<br><br />
'''4 Digitally well-composed Interpolations in ''n''-D'''<br><br />
4.1 Self-dual Local Interpolations<br><br />
4.2 A New Self-dual ''n''-D DWC Interpolation<br><br />
<br><br />
'''5 Some consequences and applications'''<br><br />
5.1 Pure self-duality<br><br />
5.2 A new representation of digital images<br><br />
5.3 ''n''-D Marching-Cubes-like Algorithms<br><br />
5.4 Tree of shapes of the DWC morphological Laplacian<br><br />
<br><br />
'''6 Perspectives'''<br><br />
6.1 On the equivalence between AWCness and CWCness on cubical grids<br><br />
6.2 Preservation of digital well-composedness<br><br />
6.3 A graph-based characterization of AWCness<br><br />
6.4 ''n''-D segmentation and parameterization<br><br />
<br><br />
'''7 Conclusion'''<br><br />
<br><br />
'''Appendices'''<br><br />
A Proof that min and max interpolations are DWC<br><br />
B Topological repairing in ''n''-D<br><br />
C Axiomatic digital topology<br><br />
D Towards the proof of AWCness and DWCness equivalence<br><br />
E Well-composed interpolations on polyhedral complexes<br></div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=118978User:Nboutry2017-08-22T10:43:40Z<p>Nboutry: </p>
<hr />
<div>== '''HOT''' ==<br />
<br />
Annoncement of my PhD defense: [[Affiche-these-NB]]<br />
<br />
== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company to work on pattern recognition. He started working with us as a PhD-student in 2014 on the [[Olena]] project.<br />
<br />
My ''curriculum vitae'' is available [http://www.lrde.epita.fr/~theo/private/boutry_cv.pdf HERE].<br />
<br />
== Current status ==<br />
<br />
PhD student:<br />
* Subject: Well-composed images<br />
* Ecole doctorale MSTIC: Université Paris-Est, LIGM, A3SI, ESIEE<br />
* Advisors: [[User:Theo|Thierry Géraud]] (LRDE), [http://www.laurentnajman.org/ Laurent Najman] (MSTIC)<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation,'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])<br />
<br />
== Table of contents of the PhD report: A Study of Well-composedness in ''n''-D ==<br />
<br />
<small>Lexicon:</small><br><br />
* <small>AWCness = Alexandrov Well-Composedness</small><br><br />
* <small>DWCness = Digital Well-Composedness</small><br><br />
* <small>CWCness = Continuous Well-Composedness</small><br><br />
<br><br />
'''1 Introduction'''<br><br />
<br><br />
'''2 State-of-the-art'''<br><br />
2.1 Mathematical basics<br><br />
2.2 Well-composed sets and images<br><br />
2.3 Topological repairing and well-composed interpolations<br><br />
2.4 Topics related to well-composedness<br><br />
<br><br />
'''3 Generalization of well-composedness to dimension ''n'' '''<br><br />
3.1 The different flavours of ''n''-D WCnesses in brief<br><br />
3.2 Mathematical basics<br><br />
3.3 ''n''-D EWCness and ''n''-D DWCness<br><br />
3.4 Relations between AWCness, DWCness, and CWCness<br><br />
<br><br />
'''4 Digitally well-composed Interpolations in ''n''-D'''<br><br />
4.1 Self-dual Local Interpolations<br><br />
4.2 A New Self-dual ''n''-D DWC Interpolation<br><br />
<br><br />
'''5 Some consequences and applications'''<br><br />
5.1 Pure self-duality<br><br />
5.2 A new representation of digital images<br><br />
5.3 ''n''-D Marching-Cubes-like Algorithms<br><br />
5.4 Tree of shapes of the DWC morphological Laplacian<br><br />
<br><br />
'''6 Perspectives'''<br><br />
6.1 On the equivalence between AWCness and CWCness on cubical grids<br><br />
6.2 Preservation of digital well-composedness<br><br />
6.3 A graph-based characterization of AWCness<br><br />
6.4 ''n''-D segmentation and parameterization<br><br />
<br><br />
'''7 Conclusion'''<br><br />
<br><br />
'''Appendices'''<br><br />
A Proof that min and max interpolations are DWC<br><br />
B Topological repairing in ''n''-D<br><br />
C Axiomatic digital topology<br><br />
D Towards the proof of AWCness and DWCness equivalence<br><br />
E Well-composed interpolations on polyhedral complexes<br></div>Nboutryhttps://www.lrde.epita.fr/index.php?title=Affiche-these-NB&diff=98741Affiche-these-NB2016-11-19T20:40:09Z<p>Nboutry: </p>
<hr />
<div>{{DISPLAYTITLE:PhD Defense Nicolas Boutry}}<br />
<br />
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;">[[File:logo_ESIEE_Paris.png|126px]] &nbsp; [[File:logo_LIGM.png|126px]] &nbsp; [[File:Logo EPITA Ingenieur BLEU 3.JPG|126px]] &nbsp; [[File:Lrde.png|126px]] &nbsp; [[File:logo_Université_Paris_Est.jpg|164px]]<br />
</div><br />
<br />
<br />
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;"><big>'''SOUTENANCE de THESE'''</big><br />
</div><br />
<br />
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;"><big>'''NICOLAS BOUTRY'''</big><br />
</div><br />
<br />
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;"><big>''' MERCREDI 14 DECEMBRE 2016 '''</big><br />
</div><br />
<br />
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;"><big>''' A 14H00 '''</big><br />
</div><br />
<br />
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;"><big>''' Amphi Marcel Dassault '''</big><br />
</div><br />
<br />
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;"><big>''' ESIEE, Noisy le Grand '''</big><br />
</div><br />
<br />
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;">Plan d’accès : http://www.esiee.fr/Infos-pratiques/acces.php<br />
</div><br />
<br />
<br />
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;"><big>''' A STUDY OF WELL-COMPOSEDNESS IN n-D'''</big><br />
</div><br />
<br />
<br />
'''Abstract:'''<br />
<br />
Digitization of the real world using real sensors has many drawbacks; in particular, we loose "well-composedness" in the sense that two digitized objects can be connected or not depending on the connectivity we choose in the digital image, leading then to ambiguities. Furthermore, digitized images are arrays of numerical values, and then do not own any topology by nature, contrary to our usual modeling of the real world in mathematics and in physics. Loosing all these properties makes difficult the development of algorithms which are "topologically correct" in image processing: e.g., the computation of the tree of shapes needs the representation of a given image to be continuous and well-composed; in the contrary case, we can obtain abnormalities in the final result. Some well-composed continuous representations already exist, but they are not in the same time n-dimensional and self-dual. n-dimensionality is crucial since usual signals are more and more 3-dimensional (like 2D videos) or 4-dimensional (like 4D Computerized Tomography-scans), and self-duality is necessary when a same image can contain different objects with different contrasts. We developed then a new way to make images well-composed by interpolation in a self-dual way and in n-D; followed with a span-based immersion, this interpolation becomes a self-dual continuous well-composed representation of the initial n-D signal. This representation benefits from many strong topological properties: it verifies the intermediate value theorem, the boundaries of any threshold set of the representation are disjoint union of discrete surfaces, and so on.<br />
<br />
'''Keywords: well-composed, discrete surfaces, digital topology, tree of shapes, mathematical morphology.'''<br />
<br />
<br />
'''Composition du Jury :'''<br />
* NAJMAN Laurent, Directeur de thèse, Professeur, ESIEE Paris<br />
* GÉRAUD Thierry, Codirecteur de thèse, Professeur, EPITA<br />
* GONZÁLEZ-DÍAZ Rocio, Rapporteur, Professeure, Universidad de Sevilla,<br />
* PASSAT Nicolas, Rapporteur, Professeur, Université de Reims Champagne-Ardenne,<br />
* LACHAUD Jacques-Olivier, Rapporteur, Professeur, Université Savoie Mont Blanc.<br />
* LATECKI Longin Jan, Examinateur, Professeur, Temple University ,<br />
* MAZO Loïc, Examinateur, Maître de Conférences, Université de Strasbourg,<br />
* COUPRIE Michel, Examinateur, Professeur, ESIEE Paris.</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=Affiche-these-NB&diff=98615Affiche-these-NB2016-11-18T15:12:42Z<p>Nboutry: </p>
<hr />
<div>{{DISPLAYTITLE:PhD Defense Nicolas Boutry}}<br />
<br />
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;">[[File:logo_ESIEE_Paris.png|126px]] &nbsp; [[File:logo_LIGM.png|126px]] &nbsp; [[File:Logo EPITA Ingenieur BLEU 3.JPG|126px]] &nbsp; [[File:Lrde.png|126px]] &nbsp; [[File:logo_Université_Paris_Est.jpg|164px]]<br />
</div><br />
<br />
<br />
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;"><big>'''SOUTENANCE de THESE'''</big><br />
</div><br />
<br />
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;"><big>'''NICOLAS BOUTRY'''</big><br />
</div><br />
<br />
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;"><big>''' MERCREDI 14 DECEMBRE 2016 '''</big><br />
</div><br />
<br />
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;"><big>''' A 14H00 '''</big><br />
</div><br />
<br />
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;"><big>''' Amphi Marcel Dassault '''</big><br />
</div><br />
<br />
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;"><big>''' ESIEE, Noisy le Grand '''</big><br />
</div><br />
<br />
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;">Plan d’accès : http://www.esiee.fr/Infos-pratiques/acces.php<br />
</div><br />
<br />
<br />
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;"><big>''' A STUDY OF WELL-COMPOSEDNESS IN n-D'''</big><br />
</div><br />
<br />
<br />
'''Abstract:'''<br />
<br />
Digitization of the real world using real sensors has many drawbacks; in particular, we loose "well-composedness" in the sense that two digitized objects can be connected or not depending on the connectivity we choose in the digital image, leading then to ambiguities. Furthermore, digitized images are arrays of numerical values, and then do not own any topology by nature, contrary to our usual modeling of the real world in mathematics and in physics. Loosing all these properties makes difficult the development of algorithms which are "topologically correct" in image processing: e.g., the computation of the tree of shapes needs the representation of a given image to be continuous and well-composed; in the contrary case, we can obtain abnormalities in the final result. Some well-composed continuous representations already exist, but they are not in the same time n-dimensional and self-dual. n-dimensionality is crucial since usual signals are more and more 3-dimensional (like 2D videos) or 4-dimensional (like 4D Computerized Tomography-scans), and self-duality is necessary when a same image can contain different objects with different contrasts. We developed then a new way to make images well-composed by interpolation in a self-dual way and in n-D; followed with a span-based immersion, this interpolation becomes a self-dual continuous well-composed representation of the initial n-D signal. This representation benefits from many strong topological properties: it verifies the intermediate value theorem, the boundaries of any threshold set of the representation are disjoint union of discrete surfaces, and so on.<br />
<br />
'''Keywords: well-composed, discrete surfaces, digital topology, tree of shapes, mathematical morphology.'''<br />
<br />
<br />
'''Composition du Jury :'''<br />
* NAJMAN Laurent , Directeur de thèse, Professeur, ESIEE Paris<br />
* GÉRAUD Thierry, Codirecteur de thèse, Professeur, EPITA<br />
* GONZÁLEZ-DÍAZ Rocio, Rapporteur, Professeure, Universidad de Sevilla,<br />
* PASSAT Nicolas, Professeur, Rapporteur, Université de Reims Champagne-Ardenne,<br />
* LACHAUD Jacques-Olivier, Rapporteur, Professeur, Université Savoie Mont Blanc.<br />
* LATECKI Longin Jan, Examinateur, Professeur, Temple University ,<br />
* MAZO Loïc, Examinateur, Maître de Conférences, Université de Strasbourg,<br />
* COUPRIE Michel, Examinateur, Professeur, ESIEE Paris.</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=File:BOUTRY-PHD-2016-10-9.pdf&diff=98304File:BOUTRY-PHD-2016-10-9.pdf2016-11-16T18:01:15Z<p>Nboutry: Ph.D. Thesis - Nicolas Boutry</p>
<hr />
<div>Ph.D. Thesis - Nicolas Boutry</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=Affiche-these-NB&diff=98303Affiche-these-NB2016-11-16T17:29:12Z<p>Nboutry: </p>
<hr />
<div>{{DISPLAYTITLE:PhD Defense Nicolas Boutry}}<br />
<br />
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;">[[File:logo_ESIEE_Paris.png|126px]] &nbsp; [[File:logo_LIGM.png|126px]] &nbsp; [[File:Logo EPITA Ingenieur BLEU 3.JPG|126px]] &nbsp; [[File:Lrde.png|126px]] &nbsp; [[File:logo_Université_Paris_Est.jpg|164px]]<br />
</div><br />
<br />
<br />
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;"><big>'''SOUTENANCE de THESE'''</big><br />
</div><br />
<br />
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;"><big>'''NICOLAS BOUTRY'''</big><br />
</div><br />
<br />
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;"><big>''' MERCREDI 14 DECEMBRE 2016 '''</big><br />
</div><br />
<br />
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;"><big>''' A 14H00 '''</big><br />
</div><br />
<br />
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;"><big>''' Amphi 110 '''</big><br />
</div><br />
<br />
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;"><big>''' ESIEE, Noisy le Grand '''</big><br />
</div><br />
<br />
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;">Plan d’accès : http://www.esiee.fr/Infos-pratiques/acces.php<br />
</div><br />
<br />
<br />
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;"><big>''' A STUDY OF WELL-COMPOSEDNESS IN n-D'''</big><br />
</div><br />
<br />
<br />
'''Abstract:'''<br />
<br />
Digitization of the real world using real sensors has many drawbacks; in particular, we loose "well-composedness" in the sense that two digitized objects can be connected or not depending on the connectivity we choose in the digital image, leading then to ambiguities. Furthermore, digitized images are arrays of numerical values, and then do not own any topology by nature, contrary to our usual modeling of the real world in mathematics and in physics. Loosing all these properties makes difficult the development of algorithms which are "topologically correct" in image processing: e.g., the computation of the tree of shapes needs the representation of a given image to be continuous and well-composed; in the contrary case, we can obtain abnormalities in the final result. Some well-composed continuous representations already exist, but they are not in the same time n-dimensional and self-dual. n-dimensionality is crucial since usual signals are more and more 3-dimensional (like 2D videos) or 4-dimensional (like 4D Computerized Tomography-scans), and self-duality is necessary when a same image can contain different objects with different contrasts. We developed then a new way to make images well-composed by interpolation in a self-dual way and in n-D; followed with a span-based immersion, this interpolation becomes a self-dual continuous well-composed representation of the initial n-D signal. This representation benefits from many strong topological properties: it verifies the intermediate value theorem, the boundaries of any threshold set of the representation are disjoint union of discrete surfaces, and so on.<br />
<br />
'''Keywords: well-composed, discrete surfaces, digital topology, tree of shapes, mathematical morphology.'''<br />
<br />
<br />
'''Composition du Jury :'''<br />
* NAJMAN Laurent , Directeur de thèse, Professeur, ESIEE Paris<br />
* GÉRAUD Thierry, Codirecteur de thèse, Professeur, EPITA<br />
* GONZÁLEZ-DÍAZ Rocio, Rapporteur, Professeure, Universidad de Sevilla,<br />
* PASSAT Nicolas, Professeur, Rapporteur, Université de Reims Champagne-Ardenne,<br />
* LACHAUD Jacques-Olivier, Rapporteur, Professeur, Université Savoie Mont Blanc.<br />
* LATECKI Longin Jan, Examinateur, Professeur, Temple University ,<br />
* MAZO Loïc, Examinateur, Maître de Conférences, Université de Strasbourg,<br />
* COUPRIE Michel, Examinateur, Professeur, ESIEE Paris.</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=Affiche-these-NB&diff=98302Affiche-these-NB2016-11-16T17:27:00Z<p>Nboutry: Created page with "{{DISPLAYTITLE:PhD Defense Nicolas Boutry}} <div class="center" style="width: auto; margin-left: auto; margin-right: auto;">126px &nbsp; [[Fil..."</p>
<hr />
<div>{{DISPLAYTITLE:PhD Defense Nicolas Boutry}}<br />
<br />
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;">[[File:logo_ESIEE_Paris.png|126px]] &nbsp; [[File:logo_LIGM.png|126px]] &nbsp; [[File:Logo EPITA Ingenieur BLEU 3.JPG|126px]] &nbsp; [[File:Lrde.png|126px]] &nbsp; [[File:logo_Université_Paris_Est.jpg|164px]]<br />
</div><br />
<br />
<br />
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;"><big>'''SOUTENANCE de THESE'''</big><br />
</div><br />
<br />
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;"><big>'''NICOLAS BOUTRY'''</big><br />
</div><br />
<br />
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;"><big>''' MERCREDI 14 DECEMBRE 2016 '''</big><br />
</div><br />
<br />
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;"><big>''' A 14H00 '''</big><br />
</div><br />
<br />
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;"><big>''' Amphi 110 '''</big><br />
</div><br />
<br />
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;"><big>''' ESIEE, Noisy le Grand '''</big><br />
</div><br />
<br />
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;">Plan d’accès : http://www.esiee.fr/Infos-pratiques/acces.php<br />
</div><br />
<br />
<br />
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;"><big>''' A STUDY OF WELL-COMPOSEDNESS IN n-D'''</big><br />
</div><br />
<br />
<br />
'''Abstract:'''<br />
<br />
Digitization of the real world using real sensors has many drawbacks; in particular, we loose ``well-composedness'' in the sense that two digitized objects can be connected or not depending on the connectivity we choose in the digital image, leading then to ambiguities. Furthermore, digitized images are arrays of numerical values, and then do not own any topology by nature, contrary to our usual modeling of the real world in mathematics and in physics. Loosing all these properties makes difficult the development of algorithms which are ``topologically correct'' in image processing: e.g., the computation of the tree of shapes needs the representation of a given image to be continuous and well-composed; in the contrary case, we can obtain abnormalities in the final result. Some well-composed continuous representations already exist, but they are not in the same time n-dimensional and self-dual. n-dimensionality is crucial since usual signals are more and more 3-dimensional (like 2D videos) or 4-dimensional (like 4D Computerized Tomography-scans), and self-duality is necessary when a same image can contain different objects with different contrasts. We developed then a new way to make images well-composed by interpolation in a self-dual way and in n-D; followed with a span-based immersion, this interpolation becomes a self-dual continuous well-composed representation of the initial n-D signal. This representation benefits from many strong topological properties: it verifies the intermediate value theorem, the boundaries of any threshold set of the representation are disjoint union of discrete surfaces, and so on.<br />
<br />
'''Keywords: well-composed, discrete surfaces, digital topology, tree of shapes, mathematical morphology.'''<br />
<br />
<br />
'''Composition du Jury :'''<br />
* NAJMAN Laurent , Directeur de thèse, Professeur, ESIEE Paris<br />
* GÉRAUD Thierry, Codirecteur de thèse, Professeur, EPITA<br />
* GONZÁLEZ-DÍAZ Rocio, Rapporteur, Professeure, Universidad de Sevilla,<br />
* PASSAT Nicolas, Professeur, Rapporteur, Université de Reims Champagne-Ardenne,<br />
* LACHAUD Jacques-Olivier, Rapporteur, Professeur, Université Savoie Mont Blanc.<br />
* LATECKI Longin Jan, Examinateur, Professeur, Temple University ,<br />
* MAZO Loïc, Examinateur, Maître de Conférences, Université de Strasbourg,<br />
* COUPRIE Michel, Examinateur, Professeur, ESIEE Paris.</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=91817User:Nboutry2016-09-10T02:14:34Z<p>Nboutry: </p>
<hr />
<div><br />
== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company to work on pattern recognition. He started working with us as a PhD-student in 2014 on the [[Olena]] project.<br />
<br />
== Current status ==<br />
<br />
PhD student:<br />
* Subject: Morphological tree of shapes in tridimensional image processing: topological and algorithmic issues<br />
* Ecole doctorale MSTIC: Université Paris-Est, LIGM, A3SI, ESIEE<br />
* Advisors: Thierry Géraud (LRDE), Laurent Najman (MSTIC)<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation,'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=91816User:Nboutry2016-09-10T02:13:12Z<p>Nboutry: </p>
<hr />
<div><br />
== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company to work on pattern recognition. He started working with us as a PhD-student in 2014 on the [[Olena]] project.<br />
<br />
== Current status ==<br />
<br />
PhD student:<br />
* Subject: Morphological tree of shapes in tridimensional image processing: topological and algorithmic issues<br />
* Ecole doctorale MSTIC: Université Paris-Est, LIGM, A3SI, ESIEE<br />
* Advisors: Thierry Géraud (LRDE), Laurent Najman (MSTIC)<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=91815User:Nboutry2016-09-10T02:08:50Z<p>Nboutry: </p>
<hr />
<div><br />
== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MR images of human brains and on image compression. He joined then a company to work on pattern recognition. He started working with us as a PhD-student in 2014 on the [[Olena]] project.<br />
<br />
== Current status ==<br />
<br />
PhD student:<br />
* Subject: Morphological tree of shapes in tridimensional image processing: topological and algorithmic issues<br />
* Ecole doctorale MSTIC: Université Paris-Est, LIGM, labo A3SI, ESIEE<br />
* Advisors: Thierry Géraud (LRDE), Laurent Najman (MSTIC)<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=91814User:Nboutry2016-09-10T02:06:09Z<p>Nboutry: </p>
<hr />
<div><br />
== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MRI images of human brains and on image compression based on image decomposition. He then joined a company to work on pattern recognition. He started working with us as a PhD-student in the year 2014 on the [[Olena]] project.<br />
<br />
== Current status ==<br />
<br />
PhD student:<br />
* Subject: Morphological tree of shapes in tridimensional image processing: topological and algorithmic issues<br />
* Ecole doctorale MSTIC: Université Paris-Est, LIGM, labo A3SI, ESIEE<br />
* Advisors: Thierry Géraud (LRDE), Laurent Najman (MSTIC)<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=91813User:Nboutry2016-09-10T02:05:51Z<p>Nboutry: </p>
<hr />
<div><br />
== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MRI images of human brains and on image compression based on image decomposition. He then joined a company to work on pattern recognition. He started working with us as a PhD-student in the year 2014 on the [[Olena]] project.<br />
<br />
== Current status ==<br />
<br />
PhD student:<br />
* Subject: Morphological tree of shapes in tridimensional image processing : topological and algorithmic issues<br />
* Ecole doctorale MSTIC: Université Paris-Est, LIGM, labo A3SI, ESIEE<br />
* Advisors: Thierry Géraud (LRDE), Laurent Najman (MSTIC)<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])</div>Nboutryhttps://www.lrde.epita.fr/index.php?title=User:Nboutry&diff=91812User:Nboutry2016-09-10T02:04:54Z<p>Nboutry: </p>
<hr />
<div><br />
== Contact ==<br />
<br />
* Email: nicolas.boutry-at-lrde.epita.fr<br />
* Tel: +33 6 76 80 10 53<br />
<br />
== Short bio ==<br />
<br />
Graduated from [http://www.esiee.fr/ ESIEE Paris] in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at [http://www.epfl.ch/index.en.html EPFL] where he did research on MRI images of human brains and on image compression based on image decomposition. He then joined a company to work on pattern recognition. He started working with us as a PhD-student in the year 2014 on the [[Olena]] project.<br />
<br />
== Current status ==<br />
<br />
PhD student:<br />
* Subject: Morphological tree of shapes in tridimensional image processing : topological and algorithmic issues<br />
* Ecole doctorale MSTIC : Université Paris-Est, LIGM, labo A3SI, ESIEE<br />
* Advisors : Thierry Géraud (LRDE), Laurent Najman (MSTIC)<br />
<br />
Teaching:<br />
* Algorithmics (TD / TP for 3rd-year students at EPITA)<br />
* Regular Language Theory (TD / TP for 3rd-year students at EPITA)<br />
<br />
== Publications ==<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Images Well-Composed Without Interpolation,'' '''ICIP 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.icip.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.icip]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''How to Make nD Functions Digitally Well-Composed in a Self-Dual Way,'' '''ISMM 2015''' [http://www.lrde.epita.fr/dload/papers/boutry.15.ismm.pdf PDF]<br />
(dedicated page: [[Publications/boutry.15.ismm]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''Une généralisation du bien-composé à la dimension n,'' '''GTGéoDis 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.pdf PDF], [http://www.lrde.epita.fr/dload/papers/boutry.14.geodis.poster.pdf Poster]<br />
(dedicated page: [[Publications/boutry.14.geodis]])<br />
<br />
Nicolas Boutry, Thierry Geraud, Laurent Najman, ''On Making nD Images Well-Composed by a Self-Dual Local Interpolation'' '''DGCI 2014''' [http://www.lrde.epita.fr/dload/papers/boutry.14.dgci.pdf PDF]<br />
(dedicated page: [[Publications/boutry.14.dgci]])</div>Nboutry