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Nicolas Boutry

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Contact

  • Email: nicolas.boutry-at-lrde.epita.fr
  • Tel: +33 6 76 80 10 53

Short bio

Graduated from ESIEE Paris in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at 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 LIGM at ESIEE Paris. He is now associate professor and co-chief of the Data Science and Artificial Intelligence (SCIA) specialization at EPITA.

My curriculum vitae is available HERE.

Current status

Associate Professor (Enseignant-Chercheur) at EPITA

Chief of Data Science and Artificial Intelligence (SCIA) specialization at EPITA (Responsable de la majeure SCIA de l'EPITA).

  • Subjects: biomedical imaging, discrete topology, mathematical morphology, deep learning, explainable artificial intelligence (xAI), quantum machine learning.
  • Ph.D. Student :

Caroline Mazini Rodriguez

Teaching:

  • Algorithmics (TD / TP for 3rd-year students at EPITA)
  • Regular Language Theory (TD / TP for 3rd-year students at EPITA)
  • Rational Databases (TP for 3rd-year students at EPITA)
  • Video Compression (5th-year students at EPITA)
  • Wavelets Theory (5th-year students at EPITA)
  • Deep Learning (5th-year students at EPITA)
  • Quantum Computing (3rd-year students at EPITA)
  • Matrix Calculus (3rd-year students at EPITA)
  • Deep learning on biomedical images (5th-year students at EPITA)

Publications

    Conference papers

    Title Authors Published in Date
    movn.21.bmvc Introducing the Boundary-Aware Loss for Deep Image Segmentation Minh Ôn Vũ Ngoc, Yizi Chen, Joseph Chazalon, Edwin Carlinet, Jonathan Fabrizio, Clément Mallet, Thierry Géraud, Nicolas Boutry Proceedings of the 32nd British Machine Vision Conference (BMVC) 28 November 2021
    boutry.21.dgmm.1 An Equivalence Relation between Morphological Dynamics and Persistent Homology in n-D Nicolas Boutry, Thierry Géraud, Laurent Najman Proceedings of the IAPR International Conference on Discrete Geometry and Mathematical Morphology (DGMM) 2 March 2021
    boutry.21.dgmm.2 A New Matching Algorithm between Trees of Shapes and its Application to Brain Tumor Segmentation Nicolas Boutry, Thierry Géraud Proceedings of the IAPR International Conference on Discrete Geometry and Mathematical Morphology (DGMM) 2 March 2021
    boutry.21.dgmm.3 Stability of the Tree of Shapes to Additive Noise Nicolas Boutry, Guillaume Tochon Proceedings of the IAPR International Conference on Discrete Geometry and Mathematical Morphology (DGMM) 2 March 2021
    zhao.20.icpr.1 FOANet: A Focus of Attention Network with Application to Myocardium Segmentation Zhou Zhao, Nicolas Boutry, Élodie Puybareau, Thierry Géraud Proceedings of the 25th International Conference on Pattern Recognition (ICPR) 2 November 2020
    zhao.20.icpr.2 Do not Treat Boundaries and Regions Differently: An Example on Heart Left Atrial Segmentation Zhou Zhao, Nicolas Boutry, Élodie Puybareau, Thierry Géraud Proceedings of the 25th International Conference on Pattern Recognition (ICPR) 2 November 2020
    boutry.20.iwcia2 A 4D Counter-Example Showing that DWCness Does Not Imply CWCness in n-D Nicolas Boutry, Rocio Gonzalez-Diaz, Laurent Najman, Thierry Géraud Combinatorial Image Analysis: Proceedings of the 20th International Workshop, IWCIA 2020, Novi Sad, Serbia, July 16–18, 2020 21 July 2020
    boutry.20.iwcia1 Euler Well-Composedness Nicolas Boutry, Rocio Gonzalez-Diaz, Maria-Jose Jimenez, Eduardo Paluzo-Hildago Combinatorial Image Analysis: Proceedings of the 20th International Workshop, IWCIA 2020, Novi Sad, Serbia, July 16–18, 2020 21 July 2020
    boutry.20.brainles Using Separated Inputs for Multimodal Brain Tumor Segmentation with 3D U-Net-like Architectures Nicolas Boutry, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Hugues Talbot, Thierry Géraud Proceedings of the 4th International Workshop, BrainLes 2019, Held in Conjunction with MICCAI 2019 1 June 2020
    zhao.19.stacom A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images Zhou Zhao, Nicolas Boutry, Élodie Puybareau, Thierry Géraud Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges—10th International WorkshopSTACOM 2019, Held in Conjunction with MICCAI 2019Shenzhen, China, October 13, 2019, Revised Selected Papers 7 February 2020
    atlan.20.spie Experimental digital Gabor hologram rendering of C. elegans worms by a model-trained convolutional neural network (Conference Presentation) Michael Atlan, Julie Rivet, Antoine Taliercio, Guillaume Tochon, Nicolas Boutry, Jean-Pierre Huignard Label-free Biomedical Imaging and Sensing (LBIS) 2020 1 January 2020
    boutry.19.dgci One More Step Towards Well-Composedness of Cell Complexes over n-D Pictures Nicolas Boutry, Rocio Gonzalez-Diaz, Maria-Jose Jimenez Proceedings of the 21st International Conference on Discrete Geometry for Computer Imagery (DGCI) 18 June 2019
    boutry.19.ismm An Equivalence Relation between Morphological Dynamics and Persistent Homology in 1D Nicolas Boutry, Thierry Géraud, Laurent Najman Mathematical Morphology and Its Application to Signal and Image Processing – Proceedings of the 14th International Symposium on Mathematical Morphology (ISMM) 13 March 2019
    boutry.17.dgci Well-Composedness in Alexandrov spaces implies Digital Well-Composedness in Z^n Nicolas Boutry, Laurent Najman, Thierry Géraud Discrete Geometry for Computer Imagery – Proceedings of the 20th IAPR International Conference on Discrete Geometry for Computer Imagery (DGCI) 1 June 2017
    carlinet.17.orasis La pseudo-distance du dahu Edwin Carlinet, Yongchao Xu, Nicolas Boutry, Thierry Géraud Actes d'ORASIS 21 March 2017
    geraud.17.ismm Introducing the Dahu Pseudo-Distance Thierry Géraud, Yongchao Xu, Edwin Carlinet, Nicolas Boutry Mathematical Morphology and Its Application to Signal and Image Processing – Proceedings of the 13th International Symposium on Mathematical Morphology (ISMM) 23 February 2017
    boutry.15.icip How to Make nD Images Well-Composed Without Interpolation Nicolas Boutry, Thierry Géraud, Laurent Najman Proceedings of the IEEE International Conference on Image Processing (ICIP) 14 May 2015
    boutry.15.ismm How to Make nD Functions Digitally Well-Composed in a Self-Dual Way Nicolas Boutry, Thierry Géraud, Laurent Najman Mathematical Morphology and Its Application to Signal and Image Processing – Proceedings of the 12th International Symposium on Mathematical Morphology (ISMM) 7 April 2015
    boutry.14.dgci On Making nD Images Well-Composed by a Self-Dual Local Interpolation Nicolas Boutry, Thierry Géraud, Laurent Najman Proceedings of the 18th International Conference on Discrete Geometry for Computer Imagery (DGCI) 28 May 2014

    Journal papers

    Title Authors Published in Date
    boutry.22.jmiv.2 Some equivalence relation between persistent homology and morphological dynamics Nicolas Boutry, Laurent Najman, Thierry Géraud Journal of Mathematical Imaging and Vision 17 May 2022
    shi.21.itip Local Intensity Order Transformation for Robust Curvilinear Object Segmentation Tianyi Shi, Nicolas Boutry, Yongchao Xu, Thierry Géraud IEEE Transactions on Image Processing 22 March 2022
    boutry.21.joco Strong Euler Wellcomposedness Nicolas Boutry, Rocio Gonzalez-Diaz, Maria-Jose Jimenez, Eduardo Paluzo-Hildago Journal of Combinatorial Optimization 23 November 2021
    boutry.22.jmiv Continuous Well-Composedness implies Digital Well-Composedness in n-D Nicolas Boutry, Rocio Gonzalez-Diaz, Laurent Najman, Thierry Géraud Journal of Mathematical Imaging and Vision 9 November 2021
    sekuboyina.21.media VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images Anjany Sekuboyina, Malek E Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li, Giles Tetteh, Jan Kukačka, Christian Payer, Darko Stern, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, and Felix Ambellan, Tamaz Amiranashvili, Moritz Ehlke, Hans Lamecker, Sebastian Lehnert, Marilia Lirio, Nicolás Pérez de Olaguer, Heiko Ramm, Manish Sahu, Alexander Tack, Stefan Zachow, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Kevin Brown, Matthias Wolf, Alexandre Kirszenberg, Élodie Puybareau, Di Chen, Yiwei Bai, Brandon H Rapazzo, Timyoas Yeah, Amber Zhang, Shangliang Xu, Feng Houa, Zhiqiang He, Chan Zeng, Zheng Xiangshang, Xu Liming, Tucker J Netherton, Raymond P Mumme, Laurence E Court, Zixun Huang, Chenhang He, Li-Wen Wang, Sai Ho Ling, Lê Duy Huỳnh, Nicolas Boutry, Roman Jakubicek, Jiri Chmelik, Supriti Mulay, Mohanasankar Sivaprakasam, Johannes C Paetzold, Suprosanna Shit, Ivan Ezhov, Benedikt Wiestler, Ben Glocker, Alexander Valentinitsch, Markus Rempfler, Björn H Menze, Jan S Kirschke Medical Image Analysis 22 July 2021
    boutry.21.media Deep Learning for Detection and Segmentation of Artefact and Disease Instances in Gastrointestinal Endoscopy Sharib Ali, Mariia Dmitrieva, Noha Ghatwary, Sophia Bano, Gorkem Polat, Alptekin Temizel, Adrian Krenzer, Amar Hekalo, Yun Bo Guo, Bogdan Matuszewski, Mourad Gridach, Irina Voiculescu, Vishnusai Yoganand, Arnav Chavan, Aryan Raj, Nhan T Nguyen, Dat Q Tran, Le Duy Huynh, Nicolas Boutry, Shahadate Rezvy, Haijian Chen, Yoon Ho Choi, Anand Subramanian, Velmurugan Balasubramanian, Xiaohong W Gao, Hongyu Hu, Yusheng Liao, Danail Stoyanov, Christian Daul, Stefano Realdon, Renato Cannizzaro, Dominique Lamarque, Terry Tran-Nguyen, Adam Bailey, Barbara Braden, James East, Jens Rittscher Medical Image Analysis 24 February 2021
    boutry.20.jmiv.2 Equivalence between Digital Well-Composedness and Well-Composedness in the Sense of Alexandrov on n-D Cubical Grids Nicolas Boutry, Laurent Najman, Thierry Géraud Journal of Mathematical Imaging and Vision 3 September 2020
    boutry.20.jmiv.1 Topological Properties of the First Non-Local Digitally Well-Composed Interpolation on n-D Cubical Grids Nicolas Boutry, Laurent Najman, Thierry Géraud Journal of Mathematical Imaging and Vision 3 September 2020
    movn.20.cviu A New Minimum Barrier Distance for Multivariate Images with Applications to Salient Object Detection, Shortest Path Finding, and Segmentation Minh Ôn Vũ Ngoc, Nicolas Boutry, Jonathan Fabrizio, Thierry Géraud Computer Vision and Image Understanding 2 June 2020
    huynh.19.prl Connected Filters on Generalized Shape-Spaces Lê Duy Huỳnh, Nicolas Boutry, Thierry Géraud Pattern Recognition Letters 20 September 2019
    boutry.19.jmiv How to Make n-D Plain Maps Alexandrov-Well-Composed in a Self-dual Way Nicolas Boutry, Thierry Géraud, Laurent Najman Journal of Mathematical Imaging and Vision 4 February 2019
    boutry.18.is Weakly Well-Composed Cell Complexes over nD Pictures Nicolas Boutry, Rocio Gonzalez-Diaz, Maria-Jose Jimenez Information Sciences 4 July 2018
    boutry.17.jmiv A Tutorial on Well-Composedness Nicolas Boutry, Thierry Géraud, Laurent Najman Journal of Mathematical Imaging and Vision 12 October 2017

    PHD Theses and Habilitations

    Title Authors Published in Date
    boutry.16.phd A Study of Well-Composedness in n-D Nicolas Boutry 1 December 2016

Link to my PhD report

A Study of Well-composedness in n-D