Difference between revisions of "TheoPublicationList"

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(Created page with "'''2014''' [http://www.lrde.epita.fr/~theo/papers/geraud.2014.das.pdf Planting, Growing and Pruning Trees: Connected Filters Applied to Document Image Analysis (DAS)] [http:...")
 
 
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<span style="background:yellow"> [[User:Theo|Back to my homepage]] <-- </span>
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<!-- pour mémoire : <span style="color:red">accepted</span> -->
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<span style="color:#b32425;">&#9632;</span> journal &nbsp; / &nbsp;
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<span style="color:#4682b4;">&#9632;</span> conference &nbsp; / &nbsp;
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<span style="color:#a2a9b1;">&#9632;</span> workshop &nbsp; / &nbsp;
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<span style="color:#000;">&#9632;</span> book &nbsp; / &nbsp;
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<span style="color:#fc3;">&#9632;</span> report &nbsp; / &nbsp;
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<span style="color:#00af89;">&#9632;</span> in French
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'''2022'''
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<span style="color:#b32425;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2022.pr.pdf The Dahu Graph-Cut for Interactive Segmentation on 2D/3D Images (PR)]
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<span style="color:#b32425;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2022.tip.pdf Local Intensity Order Transformation for Robust Curvilinear Object Segmentation (TIP)]
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<span style="color:#b32425;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2022.tpds.pdf Max-tree Computation on GPUs (TPDS)]
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<span style="color:#b32425;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2022.jmiv.pdf Continuous Well-Composedness Implies Digital Well-Composedness in ''n''-D (JMIV)]
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<span style="color:#b32425;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2022.jmiv.b.pdf Some Equivalence Relation between Persistent Homology and Morphological Dynamics (JMIV)]
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<span style="color:#4682b4;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2022.gpce.pdf A Modern C++ Point of <i>View</i> of Programming in Image Processing (GPCE)]
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'''2021'''
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<span style="color:#b32425;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2021.media.pdf A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging (MedIA)]
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<span style="color:#4682b4;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2021.bmvc.pdf Introducing the Boundary-Aware Loss for Deep Image Segmentation (BMVC)]
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<span style="color:#4682b4;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2021.icdar.pdf ICDAR 2021 Competition on Historical Map Segmentation (ICDAR)]
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<span style="color:#4682b4;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2021.dgmm-1.pdf An Equivalence Relation between Morphological Dynamics and Persistent Homology in n-D (DGMM)]
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<span style="color:#4682b4;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2021.dgmm-2.pdf A New Matching Algorithm between Trees of Shapes and its Application to Brain Tumor Segmentation (DGMM)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/slides/geraud.2021.dgmm-2_slides.pdf <span style="color:PaleVioletRed">slides</span>]]
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'''2020'''
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<span style="color:#b32425;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2020.cviu.pdf A New Minimum Barrier Distance for Multivariate Images with Applications to Salient Object Detection, Shortest Path Finding, and Segmentation (CVIU)]
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<span style="color:#b32425;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2020.jmiv-1.pdf Topological Properties of the First Non-Local Digitally Well-Composed Interpolation on ''n''-D Cubical Grids (JMIV)]
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<span style="color:#b32425;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2020.jmiv-2.pdf Equivalence between Digital Well-Composedness and Well-Composedness in the sense of Alexandrov on ''n''-D Cubical Grids (JMIV)]
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<span style="color:#4682b4;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2020.icpr-1.pdf FOANet: A Focus of Attention Network with Application to Myocardium Segmentation (ICPR)]
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<span style="color:#4682b4;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2020.icpr-2.pdf Do not Treat Boundaries and Regions Differently: An Example on Heart Left Atrial Segmentation (ICPR)]
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<span style="color:#fc3;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2020.arxiv.pdf Experimental digital Gabor hologram rendering by a model-trained convolutional neural network (arXiv)]
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<span style="color:#a2a9b1;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2020.brats.pdf Using separated inputs for multimodal brain tumor segmentation with 3D U-Net-like architectures (BrainLes @MICCAI)]
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<span style="color:#a2a9b1;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2020.iwcia.pdf A 4D counter-example showing that DWCness does not imply CWCness in ''n''-D (IWCIA)]
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<span style="color:#a2a9b1;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2020.stacom.pdf A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images (STACOM)]
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'''2019'''
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<span style="color:#b32425;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2019.prl.pdf Connected Filters on Generalized Shape-Spaces (PRL)]
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<span style="color:#b32425;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2019.pr.pdf Braids of Partitions for the Hierarchical Representation and Segmentation of Multimodal Images (PR)]
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<span style="color:#b32425;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2019.jmiv.pdf How to Make n-D Plain Maps defined on Discrete Surfaces Alexandrov-Well-Composed in a Self-dual Way (JMIV)]
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<span style="color:#4682b4;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2019.isbi.pdf Motion Compensation in Digital Holography for Retinal Imaging (ISBI)] &nbsp; &nbsp; [[https://www.youtube.com/watch?v=RhVPXBnPhXc <span style="color:orange">video</span>]]
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<span style="color:#4682b4;">&#9632;</span> [http://www.lrde.epita.fr/~theo/papers/geraud.2019.caip.pdf Estimating the Noise Level Function with the Tree of Shapes and Non-Parametric Statistics (CAIP)]
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<span style="color:#4682b4;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2019.ismm.carlinet.pdf Introducing Multivariate Connected Openings and Closings (ISMM)] &nbsp; &nbsp; [[https://www.lrde.epita.fr/~theo/posters/geraud.2019.ismm.carlinet_poster.pdf <span style="color:YellowGreen">poster</span>]]
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<span style="color:#4682b4;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2019.ismm.boutry.pdf An Equivalence Relation between Morphological Dynamics and Persistent Homology in 1D (ISMM)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/slides/geraud.2019.ismm.boutry_slides.pdf <span style="color:PaleVioletRed">slides</span>]]
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<span style="color:#4682b4;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2019.spie.pdf Deep Neural Networks for Aberrations Compensation in Digital Holographic Imaging of the Retina (SPIE)] &nbsp; &nbsp; [[https://www.lrde.epita.fr/~theo/posters/geraud.2019.spie_poster.pdf <span style="color:YellowGreen">poster</span>]] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/slides/geraud.2019.spie_slides.pdf <span style="color:PaleVioletRed">slides</span>]]
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<span style="color:#a2a9b1;">&#9632;</span> [http://www.lrde.epita.fr/~theo/papers/geraud.2019.csi.pdf Intervertebral Disc Segmentation Using Mathematical Morphology---A CNN-Free Approach (CSI)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/posters/geraud.2018.miccai_ivdm3seg_poster.pdf <span style="color:YellowGreen">poster</span>]]
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<span style="color:#a2a9b1;">&#9632;</span> [http://www.lrde.epita.fr/~theo/papers/geraud.2019.rrpr.pdf An Image Processing Library in Modern C++: Getting Simplicity and Efficiency with Generic Programming (RRPR)]
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<span style="color:#00af89;">&#9632;</span> [http://www.lrde.epita.fr/~theo/papers/geraud.2019.gretsi.carlinet.pdf Filtres connexes multivariés par fusion d'arbres de composantes (GRETSI)]
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<span style="color:#00af89;">&#9632;</span> [http://www.lrde.epita.fr/~theo/papers/geraud.2019.gretsi.esteban.pdf Estimation du niveau de bruit par arbre des formes et statistiques non paramétriques (GRETSI)]
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'''2018'''
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<span style="color:#b32425;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2018.tpds.pdf Parallel Computation of Component Trees on Distributed Memory Machines (TPDS)]
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<span style="color:#b32425;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2018.media.pdf The Challenge of Cerebral Magnetic Resonance Imaging in Neonates: A New Method using Mathematical Morphology for the Segmentation of Structures Including Diffuse Excessive High Signal Intensities (MedIA)]
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<span style="color:#b32425;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2018.jmiv.pdf A Tutorial on Well-Composedness (JMIV)]
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<span style="color:#4682b4;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2018.icip.puybareau.pdf Real-Time Document Detection in Smartphone Videos (ICIP)] &nbsp; &nbsp; [[https://www.lrde.epita.fr/~theo/posters/geraud.2018.icip.puybareau_poster.pdf <span style="color:YellowGreen">poster</span>]]
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<span style="color:#4682b4;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2018.icip.carlinet.pdf The Tree of Shapes Turned into a Max-Tree: A Simple and Efficient Linear Algorithm (ICIP)] &nbsp; &nbsp; [[https://www.lrde.epita.fr/~theo/posters/geraud.2018.icip.carlinet_poster.pdf <span style="color:YellowGreen">poster</span>]]
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<span style="color:#a2a9b1;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2018.stacom.pdf Left Atrial Segmentation in a Few Seconds Using Fully Convolutional Network and Transfer Learning (STACOM)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/posters/geraud.2018.miccai_atriaseg_poster.pdf <span style="color:YellowGreen">poster</span>]]
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<span style="color:#a2a9b1;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2018.das.pdf Saliency-Based Detection of Identity Documents Captured by Smartphones (DAS)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/posters/geraud.2018.das_poster.pdf <span style="color:YellowGreen">poster</span>]]
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<span style="color:#a2a9b1;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2017.brainles.pdf White Matter Hyperintensities Segmentation In a Few Seconds Using Fully Convolutional Network and Transfer Learning (BrainLes)]
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<span style="color:#00af89;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2018.rfiap.carlinet.pdf Un algorithme de complexité linéaire pour le calcul de l'arbre des formes (RFIAP)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/slides/geraud.2018.rfiap.carlinet_slides.pdf <span style="color:PaleVioletRed">slides</span>]]
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<span style="color:#00af89;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2018.rfiap.puybareau.pdf Segmentation des hyperintensités de la matière blanche en quelques secondes à l'aide d'un réseau de neurones convolutif et de transfert d'apprentissage (RFIAP)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/slides/geraud.2018.rfiap.puybareau_slides.pdf <span style="color:PaleVioletRed">slides</span>]]
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'''2017'''
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<span style="color:#b32425;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2017.pami.pdf Hierarchical Segmentation Using Tree-Based Shape Spaces (PAMI)]
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<span style="color:#a2a9b1;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2017.grec.pdf Extraction of Ancient Map Contents using Trees of Connected Components (GREC@ICDAR)]
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<span style="color:#4682b4;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2017.icip.pdf From Neonatal to Adult Brain MR Image Segmentation in a Few Seconds using 3D-like Fully Convolutional Network and Transfer Learning (ICIP)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/posters/geraud.2017.icip_poster.pdf <span style="color:YellowGreen">poster</span>]]
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<span style="color:#4682b4;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2017.ismm.pdf Introducing the Dahu Pseudo-Distance (ISMM)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/slides/geraud.2017.ismm_slides.pdf <span style="color:PaleVioletRed">slides</span>]]
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<span style="color:#4682b4;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2017.ismm.huynh.pdf Morphological Hierarchical Image Decomposition Based on Laplacian 0-Crossings (ISMM)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/slides/geraud.2017.ismm.huynh_slides.pdf <span style="color:PaleVioletRed">slides</span>]]
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<span style="color:#4682b4;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2017.dgci.pdf Well-Composedness in Alexandrov Spaces implies Digital Well-Composedness in &#8484;<sup>n</sup> (DGCI)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/slides/geraud.2017.dgci_slides.pdf <span style="color:PaleVioletRed">slides</span>]]
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<span style="color:#00af89;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2017.orasis.pdf La pseudo-distance du dahu (ORASIS)]
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<span style="color:#00af89;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2017.gretsi.pdf Segmentation d'IRM de cerveaux de nouveau-nés en quelques secondes à l'aide d'un FCNN ''pseudo-3D'' et de transfert d'apprentissage (GRETSI)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/posters/geraud.2017.gretsi_poster.pdf <span style="color:YellowGreen">poster</span>]]
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'''2016'''
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<span style="color:#b32425;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2016.pami.pdf Connected Filtering on Tree-Based Shape-Spaces (PAMI)] &nbsp; &nbsp; [[http://www.youtube.com/watch?v=Kt3FyMBfaXE <span style="color:orange">video</span>]]
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<span style="color:#b32425;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2016.prl.pdf Hierarchical Image Simplification and Segmentation Based on Mumford-Shah Salient Level Line Selection (PRL)]
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<span style="color:#4682b4;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2016.icpr.pdf Morphology-Based Hierarchical Representation with Application to Text Segmentation in Natural Images (ICPR)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/posters/geraud.2016.icpr_poster.pdf <span style="color:YellowGreen">poster</span>]]
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<span style="color:#4682b4;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2016.embc.pdf A Challenging Issue: Detection of White Matter Hyperintensities in Neonatal Brain MRI (EMBC)]
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<span style="color:#4682b4;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2016.igarss.pdf Region-Based Classification of Remote Sensing Images with the Morphological Tree of Shapes (IGARSS)]
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'''2015'''
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<span style="color:#b32425;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2015.tip.pdf MToS: A Tree of Shapes for Multivariate Images (TIP)] &nbsp; &nbsp; [[http://publications.lrde.epita.fr/carlinet.15.itip <span style="color:green">images and binaries</span>]]
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<span style="color:#4682b4;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2015.ipta.pdf Morphological Object Picking Based on the Color Tree of Shapes (IPTA)]
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<span style="color:#4682b4;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2015.icip.pdf How to Make ''n''D Images Well-Composed Without Interpolation (ICIP)]
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<span style="color:#4682b4;">&#9632;</span>
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[http://www.lrde.epita.fr/~theo/papers/geraud.2015.ismm.pdf Self-Duality and Digital Topology: Links Between the Morphological Tree of Shapes and Well-Composed Gray-Level Images (ISMM)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/posters/geraud.2015.ismm_poster.pdf <span style="color:YellowGreen">poster</span>]]
  +
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<span style="color:#4682b4;">&#9632;</span>
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2015.ismm.carlinet.pdf A Color Tree of Shapes with Illustrations on Filtering, Simplification, and Segmentation (ISMM)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/slides/geraud.2015.ismm.carlinet_slides.pdf <span style="color:PaleVioletRed">slides</span>]]
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<span style="color:#4682b4;">&#9632;</span>
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2015.ismm.xu.pdf Efficient Computation of Attributes and Saliency Maps on Tree-Based Image Representations (ISMM)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/posters/geraud.2015.ismm.xu_poster.pdf <span style="color:YellowGreen">poster</span>]]
  +
  +
<span style="color:#4682b4;">&#9632;</span>
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2015.ismm.boutry.pdf How to Make ''n''D Functions Digitally Well-Composed in a Self-Dual Way (ISMM)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/slides/geraud.2015.ismm.boutry_slides.pdf <span style="color:PaleVioletRed">slides</span>]]
  +
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<span style="color:#00af89;">&#9632;</span>
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2015.gretsi.pdf Une approche morphologique de segmentation interactive avec l'arbre des formes couleur (GRETSI)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/posters/geraud.2015.gretsi_poster.pdf <span style="color:YellowGreen">poster</span>]]
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'''2014'''
 
'''2014'''
   
  +
<span style="color:#b32425;">&#9632;</span>
[http://www.lrde.epita.fr/~theo/papers/geraud.2014.das.pdf Planting, Growing and Pruning Trees: Connected Filters Applied to Document Image Analysis (DAS)]
 
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2014.tip.xu.pdf Tree-Based Morse Regions: A Topological Approach to Local Feature Detection (TIP)] &nbsp; &nbsp; [[http://www.youtube.com/watch?v=-lP0qWGIUWk <span style="color:orange">video</span>]]
   
  +
<span style="color:#b32425;">&#9632;</span>
[http://www.lrde.epita.fr/~theo/papers/geraud.2014.dgci.pdf On Making nD Images Well-Composed by a Self-Dual Local Interpolation (DGCI)]
 
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2014.tip.carlinet.pdf A Comparative Review of Component Tree Computation Algorithms (TIP)]
   
  +
<span style="color:#b32425;">&#9632;</span>
[http://www.lrde.epita.fr/~theo/papers/geraud.2014.icip.pdf A Morphological Method for Music Score Staff Removal (ICIP)]
 
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2014.ijdar.pdf Efficient Multiscale Sauvola's Binarization (IJDAR)]
   
  +
<span style="color:#4682b4;">&#9632;</span>
[http://www.lrde.epita.fr/~theo/papers/geraud.2014.icip.carlinet.pdf Tree of Shapes of Multivariate Images: Leads and Traps (ICIP)]
 
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2014.ciarp.pdf Practical Genericity: Writing Image Processing Algorithms Both Reusable and Efficient (CIARP)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/slides/geraud.2014.ciarp_slides.pdf <span style="color:PaleVioletRed">slides</span>]]
   
  +
<span style="color:#4682b4;">&#9632;</span>
[http://www.lrde.epita.fr/~theo/papers/geraud.2014.icip.crozet.pdf A First Parallel Algorithm to Compute the Morphological Tree of Shapes (ICIP)]
 
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2014.das.pdf Planting, Growing and Pruning Trees: Connected Filters Applied to Document Image Analysis (DAS)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/slides/geraud.2014.das_slides.pdf <span style="color:PaleVioletRed">slides</span>]]
   
  +
<span style="color:#4682b4;">&#9632;</span>
[http://www.lrde.epita.fr/~theo/papers/geraud.2014.icip.xu.pdf Meaningful Disjoint Level Lines Selection (ICIP)]
 
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2014.dgci.pdf On Making ''n''D Images Well-Composed by a Self-Dual Local Interpolation (DGCI)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/slides/geraud.2014.dgci_slides.pdf <span style="color:PaleVioletRed">slides</span>]]
   
  +
<span style="color:#4682b4;">&#9632;</span>
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2014.ius.pdf Speckle Spot Detection in Ultrasound Images: Application to Speckle Reduction and Speckle Tracking (IUS)]
  +
  +
<span style="color:#4682b4;">&#9632;</span>
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2014.icip.pdf A Morphological Method for Music Score Staff Removal (ICIP)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/posters/geraud.2014.icip_poster.pdf <span style="color:YellowGreen">poster</span>]]
  +
  +
<span style="color:#4682b4;">&#9632;</span>
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2014.icip.carlinet.pdf Tree of Shapes of Multivariate Images: Leads, Traps, and Pitfalls (ICIP)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/posters/geraud.2014.icip.carlinet_poster.pdf <span style="color:YellowGreen">poster</span>]]
  +
  +
<span style="color:#4682b4;">&#9632;</span>
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2014.icip.crozet.pdf A First Parallel Algorithm to Compute the Morphological Tree of Shapes (ICIP)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/posters/geraud.2014.icip.crozet_poster.pdf <span style="color:YellowGreen">poster</span>]]
  +
  +
<span style="color:#4682b4;">&#9632;</span>
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2014.icip.xu.pdf Meaningful Disjoint Level Lines Selection (ICIP)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/posters/geraud.2014.icip.xu_poster.pdf <span style="color:YellowGreen">poster</span>]]
  +
  +
<span style="color:#4682b4;">&#9632;</span>
 
[http://www.lrde.epita.fr/~theo/papers/geraud.2014.icpr.pdf A Morphological Tree of Shapes for Color Images (ICPR)]
 
[http://www.lrde.epita.fr/~theo/papers/geraud.2014.icpr.pdf A Morphological Tree of Shapes for Color Images (ICPR)]
   
  +
<span style="color:#00af89;">&#9632;</span>
[http://www.lrde.epita.fr/~theo/papers/geraud.2014.ijdar.pdf Efficient Multiscale Sauvola's Binarization (IJDAR)]
 
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2014.rfia.pdf Espaces des formes basés sur des arbres : définition et applications en traitement d’images et vision par ordinateur (RFIA)]
  +
  +
<span style="color:#00af89;">&#9632;</span>
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2014.geodis.carlinet.pdf Traitement d’images multivariées avec l’arbre des formes (GT GéoDis)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/posters/geraud.2014.geodis.carlinet_poster.pdf <span style="color:YellowGreen">poster</span>]]
  +
  +
<span style="color:#00af89;">&#9632;</span>
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2014.geodis.boutry.pdf Une généralisation du ''bien-composé'' à la dimension ''n'' (GT GéoDis)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/posters/geraud.2014.geodis.boutry_poster.pdf <span style="color:YellowGreen">poster</span>]]
   
   
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'''2013'''
 
'''2013'''
   
  +
<span style="color:#4682b4;">&#9632;</span>
[http://www.lrde.epita.fr/~theo/papers/geraud.2013.icip.pdf Salient Level Lines Selection using the Mumford-Shah Functional (ICIP)]
 
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2013.icip.pdf Salient Level Lines Selection using the Mumford-Shah Functional (ICIP)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/posters/geraud.2013.icip_poster.pdf <span style="color:YellowGreen">poster</span>]]
   
  +
<span style="color:#4682b4;">&#9632;</span>
[http://www.lrde.epita.fr/~theo/papers/geraud.2013.ismm.pdf A Quasi-Linear Algorithm to Compute the Tree of Shapes of n-D Images (ISMM)]
 
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2013.ismm.pdf A Quasi-Linear Algorithm to Compute the Tree of Shapes of n-D Images (ISMM)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/slides/geraud.2013.ismm_slides.pdf <span style="color:PaleVioletRed">slides</span>]]
   
  +
<span style="color:#4682b4;">&#9632;</span>
[http://www.lrde.epita.fr/~theo/papers/geraud.2013.ismm.carlinet.pdf A Comparison of Many Max-Tree Computation Algorithms (ISMM)]
 
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2013.ismm.carlinet.pdf A Comparison of Many Max-Tree Computation Algorithms (ISMM)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/posters/geraud.2013.ismm_poster.pdf <span style="color:YellowGreen">poster</span>]]
   
  +
<span style="color:#4682b4;">&#9632;</span>
 
[http://www.lrde.epita.fr/~theo/papers/geraud.2013.ismm.najman.pdf Discrete Set-Valued Continuity and Interpolation (ISMM)]
 
[http://www.lrde.epita.fr/~theo/papers/geraud.2013.ismm.najman.pdf Discrete Set-Valued Continuity and Interpolation (ISMM)]
   
  +
<span style="color:#4682b4;">&#9632;</span>
 
[http://www.lrde.epita.fr/~theo/papers/geraud.2013.ismm.xu.pdf Two Applications of Shape-Based Morphology: Blood Vessels Segmentation and a Generalization of Constrained Connectivity (ISMM)]
 
[http://www.lrde.epita.fr/~theo/papers/geraud.2013.ismm.xu.pdf Two Applications of Shape-Based Morphology: Blood Vessels Segmentation and a Generalization of Constrained Connectivity (ISMM)]
   
Line 35: Line 291:
 
'''2012'''
 
'''2012'''
   
  +
<span style="color:#fc3;">&#9632;</span>
[http://www.lrde.epita.fr/~theo/papers/geraud.2012.hdr.pdf Outil logiciel pour le traitement d'images: Bibliothèque, paradigmes, types et algorithmes (HDR)]
 
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2012.hdr.pdf Outil logiciel pour le traitement d'images: Bibliothèque, paradigmes, types et algorithmes (HDR)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/slides/geraud.2012.hdr_slides.pdf <span style="color:PaleVioletRed">slides</span>]]
   
  +
<span style="color:#4682b4;">&#9632;</span>
[http://www.lrde.epita.fr/~theo/papers/geraud.12.icip.pdf Context-Based Energy Estimator: Application to Object Segmentation on the Tree of Shapes (ICIP)]
 
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2012.icip.pdf Context-Based Energy Estimator: Application to Object Segmentation on the Tree of Shapes (ICIP)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/posters/geraud.2012.icip_poster.pdf <span style="color:YellowGreen">poster</span>]]
   
  +
<span style="color:#4682b4;">&#9632;</span>
 
[http://www.lrde.epita.fr/~theo/papers/geraud.2012.icpr.pdf Morphological Filtering in Shape Spaces: Applications using Tree-Based Image Representations (ICPR)]
 
[http://www.lrde.epita.fr/~theo/papers/geraud.2012.icpr.pdf Morphological Filtering in Shape Spaces: Applications using Tree-Based Image Representations (ICPR)]
   
  +
<span style="color:#a2a9b1;">&#9632;</span>
[http://www.lrde.epita.fr/~theo/papers/geraud.2012.wadgmm-lncs.pdf Writing Reusable Digital Topology Algorithms in a Generic Image Processing Framework(WADGMM-LNCS)]
 
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2012.wadgmm-lncs.pdf Writing Reusable Digital Topology Algorithms in a Generic Image Processing Framework (WADGMM-LNCS)]
   
   
Line 47: Line 307:
 
'''2011'''
 
'''2011'''
   
  +
<span style="color:#4682b4;">&#9632;</span>
[http://www.lrde.epita.fr/~theo/papers/geraud.2011.gretsi.pdf Une approche générique du logiciel pour le traitement d'images préservant les performances (GRETSI)]
 
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2011.icdar.pdf The SCRIBO Module of the Olena Platform: a Free Software Framework for Document Image Analysis (ICDAR)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/posters/geraud.2011.icdar_poster.pdf <span style="color:YellowGreen">poster</span>]]
   
  +
<span style="color:#00af89;">&#9632;</span>
[http://www.lrde.epita.fr/~theo/papers/geraud.2011.icdar.pdf The SCRIBO Module of the Olena Platform: a Free Software Framework for Document Image Analysis (ICDAR)]
 
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2011.gretsi.pdf Une approche générique du logiciel pour le traitement d'images préservant les performances (GRETSI)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/posters/geraud.2011.gretsi_poster.pdf <span style="color:YellowGreen">poster</span>]]
   
   
Line 55: Line 317:
 
'''2010'''
 
'''2010'''
   
  +
<span style="color:#000;">&#9632;</span>
[http://www.lrde.epita.fr/~theo/papers/geraud.2010.book.pdf Algorithms for Mathematical Morphology (Mathematical Morphology---From Theory to Applications) (MM)]
 
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2010.book.pdf Algorithms for Mathematical Morphology (Mathematical Morphology---From Theory to Applications) (MM-EN)]
   
  +
<span style="color:#4682b4;">&#9632;</span>
[http://www.lrde.epita.fr/~theo/papers/geraud.2010.icip.pdf Why and How to Design a Generic and Efficient Image Processing Framework: The Case of the Milena Library (ICIP)]
 
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2010.icip.pdf Why and How to Design a Generic and Efficient Image Processing Framework: The Case of the Milena Library (ICIP)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/posters/geraud.2010.icip_poster.pdf <span style="color:YellowGreen">poster</span>]]
   
  +
<span style="color:#4682b4;">&#9632;</span>
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2010.wadgmm.pdf Writing Reusable Digital Geometry Algorithms in a Generic Image Processing Framework (WADGMM)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/slides/geraud.2010.wadgmm_slides.pdf <span style="color:YellowGreen">poster</span>]]
  +
  +
<span style="color:#00af89;">&#9632;</span>
 
[http://www.lrde.epita.fr/~theo/papers/geraud.2010.livre.pdf Morphologie et algorithmes (Morphologie mathématique 2 : estimation, choix et mise en oeuvre) (MM-FR)]
 
[http://www.lrde.epita.fr/~theo/papers/geraud.2010.livre.pdf Morphologie et algorithmes (Morphologie mathématique 2 : estimation, choix et mise en oeuvre) (MM-FR)]
 
[http://www.lrde.epita.fr/~theo/papers/geraud.2010.wadgmm.pdf Writing Reusable Digital Geometry Algorithms in a Generic Image Processing Framework (WADGMM)]
 
   
   
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'''2009'''
 
'''2009'''
   
  +
<span style="color:#4682b4;">&#9632;</span>
[http://www.lrde.epita.fr/~theo/papers/geraud.2009.ismm.pdf Milena: Write Generic Morphological Algorithms Once, Run on Many Kinds of Images (ISMM)]
 
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2009.ismm.pdf Milena: Write Generic Morphological Algorithms Once, Run on Many Kinds of Images (ISMM)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/slides/geraud.2009.ismm_slides.pdf <span style="color:PaleVioletRed">slides</span>]]
   
   
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'''2008'''
 
'''2008'''
   
  +
<span style="color:#a2a9b1;">&#9632;</span>
 
[http://www.lrde.epita.fr/~theo/papers/geraud.2008.mpool.pdf Semantics-Driven Genericity: A Sequel to the Static C++ Object-Oriented Programming Paradigm (SCOOP 2) (MPOOL)]
 
[http://www.lrde.epita.fr/~theo/papers/geraud.2008.mpool.pdf Semantics-Driven Genericity: A Sequel to the Static C++ Object-Oriented Programming Paradigm (SCOOP 2) (MPOOL)]
   
Line 79: Line 347:
 
'''2007'''
 
'''2007'''
   
  +
<span style="color:#4682b4;">&#9632;</span>
[http://www.lrde.epita.fr/~theo/papers/geraud.2007.gretsi.pdf Algorithme de calcul de l'arbre des composantes avec applications à la reconnaissance des formes en imagerie satellitaire (GRETSI)]
 
 
 
[http://www.lrde.epita.fr/~theo/papers/geraud.2007.icip.pdf Effective Component Tree Computation with Application to Pattern Recognition in Astronomical Imaging (ICIP)]
 
[http://www.lrde.epita.fr/~theo/papers/geraud.2007.icip.pdf Effective Component Tree Computation with Application to Pattern Recognition in Astronomical Imaging (ICIP)]
  +
  +
<span style="color:#00af89;">&#9632;</span>
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2007.gretsi.pdf Algorithme de calcul de l'arbre des composantes avec applications à la reconnaissance des formes en imagerie satellitaire (GRETSI)]
   
   
Line 87: Line 357:
 
'''2005'''
 
'''2005'''
   
  +
<span style="color:#000;">&#9632;</span>
[http://www.lrde.epita.fr/~theo/papers/geraud.2005.adass.pdf Project EFIGI: Automatic Classification of Galaxies (ADASS)]
 
  +
[http://www.amazon.fr/dp/2744071447 Standards de Programmation C++ (EN2FR)]
 
[http://www.lrde.epita.fr/~theo/papers/geraud.2005.ismm.pdf Ruminations on Tarjan's Union-Find Algorithm and Connected Operators (ISMM)]
 
   
  +
<span style="color:#b32425;">&#9632;</span>
 
[http://www.lrde.epita.fr/~theo/papers/geraud.2005.prl.pdf Fusion of Spatial Relationships for Guiding Recognition---Example of Brain Structure Recognition in 3D MRI (PRL)]
 
[http://www.lrde.epita.fr/~theo/papers/geraud.2005.prl.pdf Fusion of Spatial Relationships for Guiding Recognition---Example of Brain Structure Recognition in 3D MRI (PRL)]
  +
  +
<span style="color:#4682b4;">&#9632;</span>
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2005.adass.pdf Project EFIGI: Automatic Classification of Galaxies (ADASS)]
  +
  +
<span style="color:#4682b4;">&#9632;</span>
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2005.ismm.pdf Ruminations on Tarjan's Union-Find Algorithm and Connected Operators (ISMM)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/slides/geraud.2005.ismm_slides.pdf <span style="color:PaleVioletRed">slides</span>]]
   
   
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'''2004'''
 
'''2004'''
   
  +
<span style="color:#b32425;">&#9632;</span>
[http://www.lrde.epita.fr/~theo/papers/geraud.2004.ecoopphd.pdf Generic Algorithmic Blocks Dedicated to Image Processing (ECOOP-PhD)]
 
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2004.jasp.pdf Fast Road Network Extraction in Satellite Images using Mathematical Morphology and Markov Random Fields (JASP)]
   
  +
<span style="color:#4682b4;">&#9632;</span>
 
[http://www.lrde.epita.fr/~theo/papers/geraud.2004.iccvg.pdf Fast Color Image Segmentation Based on Levellings in Feature Space (ICCVG)]
 
[http://www.lrde.epita.fr/~theo/papers/geraud.2004.iccvg.pdf Fast Color Image Segmentation Based on Levellings in Feature Space (ICCVG)]
   
  +
<span style="color:#a2a9b1;">&#9632;</span>
[http://www.lrde.epita.fr/~theo/papers/geraud.2004.jasp.pdf Fast Road Network Extraction in Satellite Images using Mathematical Morphology and Markov Random Fields (JASP)]
 
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2004.ecoopphd.pdf Generic Algorithmic Blocks Dedicated to Image Processing (ECOOP-PhD)]
   
   
Line 107: Line 386:
 
'''2003'''
 
'''2003'''
   
  +
<span style="color:#b32425;">&#9632;</span>
 
[http://www.lrde.epita.fr/~theo/papers/geraud.2003.ai.pdf Representation and Fusion of Heterogeneous Fuzzy Information in the 3D Space for Model-Based Structural Recognition---Application to 3D Brain Imaging (AI)]
 
[http://www.lrde.epita.fr/~theo/papers/geraud.2003.ai.pdf Representation and Fusion of Heterogeneous Fuzzy Information in the 3D Space for Model-Based Structural Recognition---Application to 3D Brain Imaging (AI)]
   
  +
<span style="color:#4682b4;">&#9632;</span>
[http://www.lrde.epita.fr/~theo/papers/geraud.2003.grec.pdf Document Type Recognition using Evidence Theory (GREC)]
 
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2003.grec.pdf Document Type Recognition using Evidence Theory (GREC)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/slides/geraud.2003.grec_slides.pdf <span style="color:PaleVioletRed">slides</span>]]
   
  +
<span style="color:#4682b4;">&#9632;</span>
 
[http://www.lrde.epita.fr/~theo/papers/geraud.2003.ibpria.pdf Segmentation of Curvilinear Objects using a Watershed-Based Curve Adjacency Graph (IbPRIA)]
 
[http://www.lrde.epita.fr/~theo/papers/geraud.2003.ibpria.pdf Segmentation of Curvilinear Objects using a Watershed-Based Curve Adjacency Graph (IbPRIA)]
   
  +
<span style="color:#4682b4;">&#9632;</span>
 
[http://www.lrde.epita.fr/~theo/papers/geraud.2003.icip.pdf Multi-Band Segmentation using Morphological Clustering and Fusion---Application to Color Image Segmentation (ICIP)]
 
[http://www.lrde.epita.fr/~theo/papers/geraud.2003.icip.pdf Multi-Band Segmentation using Morphological Clustering and Fusion---Application to Color Image Segmentation (ICIP)]
   
  +
<span style="color:#4682b4;">&#9632;</span>
[http://www.lrde.epita.fr/~theo/papers/geraud.2003.icisp.pdf Segmentation d'objets curvilignes à l'aide des champs de Markov sur un graphe d'adjacence de courbes issu de l'algorithme de la ligne de partage des eaux (ICISP)]
 
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2003.nsip.pdf Fast Road Network Extraction in Satellite Images using Mathematical Morphology and MRF (NSIP)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/slides/geraud.2003.nsip_slides.pdf <span style="color:PaleVioletRed">slides</span>]]
   
  +
<span style="color:#a2a9b1;">&#9632;</span>
[http://www.lrde.epita.fr/~theo/papers/geraud.2003.mpool.pdf A Static C++ Object-Oriented Programming (SCOOP) Paradigm Mixing Benefits of Traditional OOP and Generic Programming (MPOOL)]
 
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2003.mpool.pdf A Static C++ Object-Oriented Programming (SCOOP) Paradigm Mixing Benefits of Traditional OOP and Generic Programming (MPOOL)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/slides/geraud.2003.mpool_slides.pdf <span style="color:PaleVioletRed">slides</span>]]
   
  +
<span style="color:#00af89;">&#9632;</span>
[http://www.lrde.epita.fr/~theo/papers/geraud.2003.nsip.pdf Fast Road Network Extraction in Satellite Images using Mathematical Morphology and MRF (NSIP)]
 
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2003.icisp.pdf Segmentation d'objets curvilignes à l'aide des champs de Markov sur un graphe d'adjacence de courbes issu de l'algorithme de la ligne de partage des eaux (ICISP)]
   
   
Line 125: Line 411:
 
'''2002'''
 
'''2002'''
   
  +
<span style="color:#4682b4;">&#9632;</span>
 
[http://www.lrde.epita.fr/~theo/papers/geraud.2002.ismm.pdf Generic Implementation of Morphological Image Operators (ISMM)]
 
[http://www.lrde.epita.fr/~theo/papers/geraud.2002.ismm.pdf Generic Implementation of Morphological Image Operators (ISMM)]
   
Line 131: Line 418:
 
'''2001'''
 
'''2001'''
   
  +
<span style="color:#4682b4;">&#9632;</span>
[http://www.lrde.epita.fr/~theo/papers/geraud.2001.ai.pdf Applying Generic Programming to Image Processing (AI)]
 
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2001.ai.pdf Applying Generic Programming to Image Processing (AI)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/slides/geraud.2001.ai_slides.pdf <span style="color:PaleVioletRed">slides</span>]]
   
  +
<span style="color:#4682b4;">&#9632;</span>
 
[http://www.lrde.epita.fr/~theo/papers/geraud.2001.coots.pdf Generic Design Patterns in C++ (COOTS)]
 
[http://www.lrde.epita.fr/~theo/papers/geraud.2001.coots.pdf Generic Design Patterns in C++ (COOTS)]
   
  +
<span style="color:#4682b4;">&#9632;</span>
[http://www.lrde.epita.fr/~theo/papers/geraud.2001.icip.pdf Color Image Segmentation based on Automatic Morphological Clustering (ICIP)]
 
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2001.icip.pdf Color Image Segmentation based on Automatic Morphological Clustering (ICIP)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/slides/geraud.2001.icip_slides.pdf <span style="color:PaleVioletRed">slides</span>]]
   
  +
<span style="color:#00af89;">&#9632;</span>
 
[http://www.lrde.epita.fr/~theo/papers/geraud.2001.icisp.pdf Segmentation d'images en couleur par classification morphologique non supervisée (ICISP)]
 
[http://www.lrde.epita.fr/~theo/papers/geraud.2001.icisp.pdf Segmentation d'images en couleur par classification morphologique non supervisée (ICISP)]
   
Line 143: Line 434:
 
'''2000'''
 
'''2000'''
   
  +
<span style="color:#4682b4;">&#9632;</span>
[http://www.lrde.epita.fr/~theo/papers/geraud.2000.egve.pdf An asynchronous architecture to manage communication, display, and user interaction in distributed virtual environments (EGVE)]
 
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2000.egve.pdf An asynchronous architecture to manage communication, display, and user interaction in distributed virtual environments (EGVE)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/slides/geraud.2000.egve_slides.pdf <span style="color:PaleVioletRed">slides</span>]]
   
  +
<span style="color:#4682b4;">&#9632;</span>
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2000.gcse.pdf Olena: a Component-Based Platform for Image Processing, mixing Generic, Generative and OO Programming (GCSE)]
  +
  +
<span style="color:#4682b4;">&#9632;</span>
 
[http://www.lrde.epita.fr/~theo/papers/geraud.2000.europlop.pdf Generic programming redesign of patterns (EuroPLoP)]
 
[http://www.lrde.epita.fr/~theo/papers/geraud.2000.europlop.pdf Generic programming redesign of patterns (EuroPLoP)]
   
  +
<span style="color:#4682b4;">&#9632;</span>
 
[http://www.lrde.epita.fr/~theo/papers/geraud.2000.icpr.pdf Obtaining genericity for image processing and pattern recognition algorithms (ICPR)]
 
[http://www.lrde.epita.fr/~theo/papers/geraud.2000.icpr.pdf Obtaining genericity for image processing and pattern recognition algorithms (ICPR)]
   
  +
<span style="color:#4682b4;">&#9632;</span>
[http://www.lrde.epita.fr/~theo/papers/geraud.2000.rfia.pdf Reconnaissance de structures cérébrales à l'aide d'un atlas et par fusion d'informations structurelles floues (RFIA)]
 
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2000.vw.pdf A Framework to Dynamically Manage Distributed Virtual Environments (VW)] &nbsp; &nbsp; [[http://www.lrde.epita.fr/~theo/slides/geraud.2000.vw_slides.pdf <span style="color:PaleVioletRed">slides</span>]]
   
  +
<span style="color:#00af89;">&#9632;</span>
[http://www.lrde.epita.fr/~theo/papers/geraud.2000.vw.pdf A Framework to Dynamically Manage Distributed Virtual Environments (VW)]
 
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.2000.rfia.pdf Reconnaissance de structures cérébrales à l'aide d'un atlas et par fusion d'informations structurelles floues (RFIA)]
   
   
Line 157: Line 456:
 
'''1999'''
 
'''1999'''
   
  +
<span style="color:#4682b4;">&#9632;</span>
 
[http://www.lrde.epita.fr/~theo/papers/geraud.1999.cimaf.pdf Atlas-Guided Recognition of Cerebral Structures in MRI using Fusion of Fuzzy Structural Information (CIMAF)]
 
[http://www.lrde.epita.fr/~theo/papers/geraud.1999.cimaf.pdf Atlas-Guided Recognition of Cerebral Structures in MRI using Fusion of Fuzzy Structural Information (CIMAF)]
   
  +
<span style="color:#00af89;">&#9632;</span>
 
[http://www.lrde.epita.fr/~theo/papers/geraud.1999.gretsi.pdf Vers une réutilisabilité totale des algorithmes de traitement d'images (GRETSI)]
 
[http://www.lrde.epita.fr/~theo/papers/geraud.1999.gretsi.pdf Vers une réutilisabilité totale des algorithmes de traitement d'images (GRETSI)]
   
Line 165: Line 466:
 
'''1998'''
 
'''1998'''
   
  +
<span style="color:#fc3;">&#9632;</span>
[http://www.lrde.epita.fr/~theo/papers/geraud.1998.phd.pdf Segmentation des structures internes du cerveau en imagerie par résonance magnétique 3D (PHD)]
 
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.1998.phd.pdf Segmentation des structures internes du cerveau en imagerie par résonance magnétique 3D (PhD)]
   
   
Line 171: Line 473:
 
'''1996'''
 
'''1996'''
   
  +
<span style="color:#4682b4;">&#9632;</span>
[http://www.lrde.epita.fr/~theo/papers/geraud.1996.car_FIXME.pdf Robust Radiometric Parameter Estimation and Automatic Morphological Segmentation of Brain Internal Structures in 3D MR Images (CAR)]
 
  +
[http://www.lrde.epita.fr/~theo/papers/geraud.1996.car.pdf Robust Radiometric Parameter Estimation and Automatic Morphological Segmentation of Brain Internal Structures in 3D MR Images (CAR)]
   
   
Line 177: Line 480:
 
'''1995'''
 
'''1995'''
   
  +
<span style="color:#4682b4;">&#9632;</span>
 
[http://www.lrde.epita.fr/~theo/papers/geraud.1995.icip.pdf Segmenting internal structures in 3D MR images of the brain by Markovian relaxation on a watershed based adjacency graph (ICIP)]
 
[http://www.lrde.epita.fr/~theo/papers/geraud.1995.icip.pdf Segmenting internal structures in 3D MR images of the brain by Markovian relaxation on a watershed based adjacency graph (ICIP)]
   
  +
<span style="color:#4682b4;">&#9632;</span>
 
[http://www.lrde.epita.fr/~theo/papers/geraud.1995.mic.pdf Estimation of Partial Volume Effect using Spatial Context: Application to Morphometry in Cerebral Imaging (MIC)]
 
[http://www.lrde.epita.fr/~theo/papers/geraud.1995.mic.pdf Estimation of Partial Volume Effect using Spatial Context: Application to Morphometry in Cerebral Imaging (MIC)]
   
Line 185: Line 490:
 
'''1993'''
 
'''1993'''
   
  +
<span style="color:#4682b4;">&#9632;</span>
 
[http://www.lrde.epita.fr/~theo/papers/geraud.1993.spiemi.pdf New High Performance 3D Registration Algorithms for 3D Medical Images (SPIEMI)]
 
[http://www.lrde.epita.fr/~theo/papers/geraud.1993.spiemi.pdf New High Performance 3D Registration Algorithms for 3D Medical Images (SPIEMI)]

Latest revision as of 20:39, 29 November 2022

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journal   /   conference   /   workshop   /   book   /   report   /   in French


2022

The Dahu Graph-Cut for Interactive Segmentation on 2D/3D Images (PR)

Local Intensity Order Transformation for Robust Curvilinear Object Segmentation (TIP)

Max-tree Computation on GPUs (TPDS)

Continuous Well-Composedness Implies Digital Well-Composedness in n-D (JMIV)

Some Equivalence Relation between Persistent Homology and Morphological Dynamics (JMIV)

A Modern C++ Point of View of Programming in Image Processing (GPCE)


2021

A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging (MedIA)

Introducing the Boundary-Aware Loss for Deep Image Segmentation (BMVC)

ICDAR 2021 Competition on Historical Map Segmentation (ICDAR)

An Equivalence Relation between Morphological Dynamics and Persistent Homology in n-D (DGMM)

A New Matching Algorithm between Trees of Shapes and its Application to Brain Tumor Segmentation (DGMM)     [slides]


2020

A New Minimum Barrier Distance for Multivariate Images with Applications to Salient Object Detection, Shortest Path Finding, and Segmentation (CVIU)

Topological Properties of the First Non-Local Digitally Well-Composed Interpolation on n-D Cubical Grids (JMIV)

Equivalence between Digital Well-Composedness and Well-Composedness in the sense of Alexandrov on n-D Cubical Grids (JMIV)

FOANet: A Focus of Attention Network with Application to Myocardium Segmentation (ICPR)

Do not Treat Boundaries and Regions Differently: An Example on Heart Left Atrial Segmentation (ICPR)

Experimental digital Gabor hologram rendering by a model-trained convolutional neural network (arXiv)

Using separated inputs for multimodal brain tumor segmentation with 3D U-Net-like architectures (BrainLes @MICCAI)

A 4D counter-example showing that DWCness does not imply CWCness in n-D (IWCIA)

A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images (STACOM)


2019

Connected Filters on Generalized Shape-Spaces (PRL)

Braids of Partitions for the Hierarchical Representation and Segmentation of Multimodal Images (PR)

How to Make n-D Plain Maps defined on Discrete Surfaces Alexandrov-Well-Composed in a Self-dual Way (JMIV)

Motion Compensation in Digital Holography for Retinal Imaging (ISBI)     [video]

Estimating the Noise Level Function with the Tree of Shapes and Non-Parametric Statistics (CAIP)

Introducing Multivariate Connected Openings and Closings (ISMM)     [poster]

An Equivalence Relation between Morphological Dynamics and Persistent Homology in 1D (ISMM)     [slides]

Deep Neural Networks for Aberrations Compensation in Digital Holographic Imaging of the Retina (SPIE)     [poster]     [slides]

Intervertebral Disc Segmentation Using Mathematical Morphology---A CNN-Free Approach (CSI)     [poster]

An Image Processing Library in Modern C++: Getting Simplicity and Efficiency with Generic Programming (RRPR)

Filtres connexes multivariés par fusion d'arbres de composantes (GRETSI)

Estimation du niveau de bruit par arbre des formes et statistiques non paramétriques (GRETSI)


2018

Parallel Computation of Component Trees on Distributed Memory Machines (TPDS)

The Challenge of Cerebral Magnetic Resonance Imaging in Neonates: A New Method using Mathematical Morphology for the Segmentation of Structures Including Diffuse Excessive High Signal Intensities (MedIA)

A Tutorial on Well-Composedness (JMIV)

Real-Time Document Detection in Smartphone Videos (ICIP)     [poster]

The Tree of Shapes Turned into a Max-Tree: A Simple and Efficient Linear Algorithm (ICIP)     [poster]

Left Atrial Segmentation in a Few Seconds Using Fully Convolutional Network and Transfer Learning (STACOM)     [poster]

Saliency-Based Detection of Identity Documents Captured by Smartphones (DAS)     [poster]

White Matter Hyperintensities Segmentation In a Few Seconds Using Fully Convolutional Network and Transfer Learning (BrainLes)

Un algorithme de complexité linéaire pour le calcul de l'arbre des formes (RFIAP)     [slides]

Segmentation des hyperintensités de la matière blanche en quelques secondes à l'aide d'un réseau de neurones convolutif et de transfert d'apprentissage (RFIAP)     [slides]


2017

Hierarchical Segmentation Using Tree-Based Shape Spaces (PAMI)

Extraction of Ancient Map Contents using Trees of Connected Components (GREC@ICDAR)

From Neonatal to Adult Brain MR Image Segmentation in a Few Seconds using 3D-like Fully Convolutional Network and Transfer Learning (ICIP)     [poster]

Introducing the Dahu Pseudo-Distance (ISMM)     [slides]

Morphological Hierarchical Image Decomposition Based on Laplacian 0-Crossings (ISMM)     [slides]

Well-Composedness in Alexandrov Spaces implies Digital Well-Composedness in ℤn (DGCI)     [slides]

La pseudo-distance du dahu (ORASIS)

Segmentation d'IRM de cerveaux de nouveau-nés en quelques secondes à l'aide d'un FCNN pseudo-3D et de transfert d'apprentissage (GRETSI)     [poster]


2016

Connected Filtering on Tree-Based Shape-Spaces (PAMI)     [video]

Hierarchical Image Simplification and Segmentation Based on Mumford-Shah Salient Level Line Selection (PRL)

Morphology-Based Hierarchical Representation with Application to Text Segmentation in Natural Images (ICPR)     [poster]

A Challenging Issue: Detection of White Matter Hyperintensities in Neonatal Brain MRI (EMBC)

Region-Based Classification of Remote Sensing Images with the Morphological Tree of Shapes (IGARSS)


2015

MToS: A Tree of Shapes for Multivariate Images (TIP)     [images and binaries]

Morphological Object Picking Based on the Color Tree of Shapes (IPTA)

How to Make nD Images Well-Composed Without Interpolation (ICIP)

Self-Duality and Digital Topology: Links Between the Morphological Tree of Shapes and Well-Composed Gray-Level Images (ISMM)     [poster]

A Color Tree of Shapes with Illustrations on Filtering, Simplification, and Segmentation (ISMM)     [slides]

Efficient Computation of Attributes and Saliency Maps on Tree-Based Image Representations (ISMM)     [poster]

How to Make nD Functions Digitally Well-Composed in a Self-Dual Way (ISMM)     [slides]

Une approche morphologique de segmentation interactive avec l'arbre des formes couleur (GRETSI)     [poster]


2014

Tree-Based Morse Regions: A Topological Approach to Local Feature Detection (TIP)     [video]

A Comparative Review of Component Tree Computation Algorithms (TIP)

Efficient Multiscale Sauvola's Binarization (IJDAR)

Practical Genericity: Writing Image Processing Algorithms Both Reusable and Efficient (CIARP)     [slides]

Planting, Growing and Pruning Trees: Connected Filters Applied to Document Image Analysis (DAS)     [slides]

On Making nD Images Well-Composed by a Self-Dual Local Interpolation (DGCI)     [slides]

Speckle Spot Detection in Ultrasound Images: Application to Speckle Reduction and Speckle Tracking (IUS)

A Morphological Method for Music Score Staff Removal (ICIP)     [poster]

Tree of Shapes of Multivariate Images: Leads, Traps, and Pitfalls (ICIP)     [poster]

A First Parallel Algorithm to Compute the Morphological Tree of Shapes (ICIP)     [poster]

Meaningful Disjoint Level Lines Selection (ICIP)     [poster]

A Morphological Tree of Shapes for Color Images (ICPR)

Espaces des formes basés sur des arbres : définition et applications en traitement d’images et vision par ordinateur (RFIA)

Traitement d’images multivariées avec l’arbre des formes (GT GéoDis)     [poster]

Une généralisation du bien-composé à la dimension n (GT GéoDis)     [poster]


2013

Salient Level Lines Selection using the Mumford-Shah Functional (ICIP)     [poster]

A Quasi-Linear Algorithm to Compute the Tree of Shapes of n-D Images (ISMM)     [slides]

A Comparison of Many Max-Tree Computation Algorithms (ISMM)     [poster]

Discrete Set-Valued Continuity and Interpolation (ISMM)

Two Applications of Shape-Based Morphology: Blood Vessels Segmentation and a Generalization of Constrained Connectivity (ISMM)


2012

Outil logiciel pour le traitement d'images: Bibliothèque, paradigmes, types et algorithmes (HDR)     [slides]

Context-Based Energy Estimator: Application to Object Segmentation on the Tree of Shapes (ICIP)     [poster]

Morphological Filtering in Shape Spaces: Applications using Tree-Based Image Representations (ICPR)

Writing Reusable Digital Topology Algorithms in a Generic Image Processing Framework (WADGMM-LNCS)


2011

The SCRIBO Module of the Olena Platform: a Free Software Framework for Document Image Analysis (ICDAR)     [poster]

Une approche générique du logiciel pour le traitement d'images préservant les performances (GRETSI)     [poster]


2010

Algorithms for Mathematical Morphology (Mathematical Morphology---From Theory to Applications) (MM-EN)

Why and How to Design a Generic and Efficient Image Processing Framework: The Case of the Milena Library (ICIP)     [poster]

Writing Reusable Digital Geometry Algorithms in a Generic Image Processing Framework (WADGMM)     [poster]

Morphologie et algorithmes (Morphologie mathématique 2 : estimation, choix et mise en oeuvre) (MM-FR)


2009

Milena: Write Generic Morphological Algorithms Once, Run on Many Kinds of Images (ISMM)     [slides]


2008

Semantics-Driven Genericity: A Sequel to the Static C++ Object-Oriented Programming Paradigm (SCOOP 2) (MPOOL)


2007

Effective Component Tree Computation with Application to Pattern Recognition in Astronomical Imaging (ICIP)

Algorithme de calcul de l'arbre des composantes avec applications à la reconnaissance des formes en imagerie satellitaire (GRETSI)


2005

Standards de Programmation C++ (EN2FR)

Fusion of Spatial Relationships for Guiding Recognition---Example of Brain Structure Recognition in 3D MRI (PRL)

Project EFIGI: Automatic Classification of Galaxies (ADASS)

Ruminations on Tarjan's Union-Find Algorithm and Connected Operators (ISMM)     [slides]


2004

Fast Road Network Extraction in Satellite Images using Mathematical Morphology and Markov Random Fields (JASP)

Fast Color Image Segmentation Based on Levellings in Feature Space (ICCVG)

Generic Algorithmic Blocks Dedicated to Image Processing (ECOOP-PhD)


2003

Representation and Fusion of Heterogeneous Fuzzy Information in the 3D Space for Model-Based Structural Recognition---Application to 3D Brain Imaging (AI)

Document Type Recognition using Evidence Theory (GREC)     [slides]

Segmentation of Curvilinear Objects using a Watershed-Based Curve Adjacency Graph (IbPRIA)

Multi-Band Segmentation using Morphological Clustering and Fusion---Application to Color Image Segmentation (ICIP)

Fast Road Network Extraction in Satellite Images using Mathematical Morphology and MRF (NSIP)     [slides]

A Static C++ Object-Oriented Programming (SCOOP) Paradigm Mixing Benefits of Traditional OOP and Generic Programming (MPOOL)     [slides]

Segmentation d'objets curvilignes à l'aide des champs de Markov sur un graphe d'adjacence de courbes issu de l'algorithme de la ligne de partage des eaux (ICISP)


2002

Generic Implementation of Morphological Image Operators (ISMM)


2001

Applying Generic Programming to Image Processing (AI)     [slides]

Generic Design Patterns in C++ (COOTS)

Color Image Segmentation based on Automatic Morphological Clustering (ICIP)     [slides]

Segmentation d'images en couleur par classification morphologique non supervisée (ICISP)


2000

An asynchronous architecture to manage communication, display, and user interaction in distributed virtual environments (EGVE)     [slides]

Olena: a Component-Based Platform for Image Processing, mixing Generic, Generative and OO Programming (GCSE)

Generic programming redesign of patterns (EuroPLoP)

Obtaining genericity for image processing and pattern recognition algorithms (ICPR)

A Framework to Dynamically Manage Distributed Virtual Environments (VW)     [slides]

Reconnaissance de structures cérébrales à l'aide d'un atlas et par fusion d'informations structurelles floues (RFIA)


1999

Atlas-Guided Recognition of Cerebral Structures in MRI using Fusion of Fuzzy Structural Information (CIMAF)

Vers une réutilisabilité totale des algorithmes de traitement d'images (GRETSI)


1998

Segmentation des structures internes du cerveau en imagerie par résonance magnétique 3D (PhD)


1996

Robust Radiometric Parameter Estimation and Automatic Morphological Segmentation of Brain Internal Structures in 3D MR Images (CAR)


1995

Segmenting internal structures in 3D MR images of the brain by Markovian relaxation on a watershed based adjacency graph (ICIP)

Estimation of Partial Volume Effect using Spatial Context: Application to Morphometry in Cerebral Imaging (MIC)


1993

New High Performance 3D Registration Algorithms for 3D Medical Images (SPIEMI)