Difference between revisions of "TheoPublicationList"
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+ | <span style="color:#b32425;">■</span> journal / |
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+ | <span style="color:#4682b4;">■</span> conference / |
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+ | <span style="color:#a2a9b1;">■</span> workshop / |
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+ | <span style="color:#000;">■</span> book / |
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+ | <span style="color:#fc3;">■</span> report / |
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+ | <span style="color:#00af89;">■</span> in French |
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+ | |||
+ | |||
+ | '''2022''' |
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+ | |||
+ | <span style="color:#b32425;">■</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;">■</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;">■</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;">■</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;">■</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;">■</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;">■</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;">■</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;">■</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;">■</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;">■</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)] [[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;">■</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;">■</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;">■</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;">■</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;">■</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;">■</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;">■</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;">■</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;">■</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;">■</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;">■</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;">■</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;">■</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)] [[https://www.youtube.com/watch?v=RhVPXBnPhXc <span style="color:orange">video</span>]] |
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+ | |||
+ | <span style="color:#4682b4;">■</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;">■</span> |
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+ | [http://www.lrde.epita.fr/~theo/papers/geraud.2019.ismm.carlinet.pdf Introducing Multivariate Connected Openings and Closings (ISMM)] [[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;">■</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)] [[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;">■</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)] [[https://www.lrde.epita.fr/~theo/posters/geraud.2019.spie_poster.pdf <span style="color:YellowGreen">poster</span>]] [[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;">■</span> [http://www.lrde.epita.fr/~theo/papers/geraud.2019.csi.pdf Intervertebral Disc Segmentation Using Mathematical Morphology---A CNN-Free Approach (CSI)] [[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;">■</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;">■</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;">■</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;">■</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;">■</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;">■</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;">■</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)] [[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;">■</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)] [[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;">■</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)] [[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;">■</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)] [[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;">■</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;">■</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)] [[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;">■</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)] [[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;">■</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;">■</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;">■</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)] [[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;">■</span> |
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+ | [http://www.lrde.epita.fr/~theo/papers/geraud.2017.ismm.pdf Introducing the Dahu Pseudo-Distance (ISMM)] [[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;">■</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)] [[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;">■</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 ℤ<sup>n</sup> (DGCI)] [[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;">■</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;">■</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)] [[http://www.lrde.epita.fr/~theo/posters/geraud.2017.gretsi_poster.pdf <span style="color:YellowGreen">poster</span>]] |
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+ | |||
+ | |||
'''2016''' |
'''2016''' |
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+ | <span style="color:#b32425;">■</span> |
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− | [http://www.lrde.epita.fr/~theo/papers/geraud.2016.pami_draft.pdf Hierarchical Segmentation Using Tree-Based Shape Spaces (PAMI)] |
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+ | [http://www.lrde.epita.fr/~theo/papers/geraud.2016.pami.pdf Connected Filtering on Tree-Based Shape-Spaces (PAMI)] [[http://www.youtube.com/watch?v=Kt3FyMBfaXE <span style="color:orange">video</span>]] |
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+ | |||
+ | <span style="color:#b32425;">■</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;">■</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)] [[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;">■</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;">■</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''' |
'''2015''' |
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+ | <span style="color:#b32425;">■</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)] [[http://publications.lrde.epita.fr/carlinet.15.itip <span style="color:green">images and binaries</span>]] |
[http://www.lrde.epita.fr/~theo/papers/geraud.2015.tip.pdf MToS: A Tree of Shapes for Multivariate Images (TIP)] [[http://publications.lrde.epita.fr/carlinet.15.itip <span style="color:green">images and binaries</span>]] |
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+ | <span style="color:#4682b4;">■</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)] |
[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;">■</span> |
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− | [http://www.lrde.epita.fr/~theo/papers/geraud.2015.gretsi.pdf Une approche morphologique de segmentation interactive avec l'arbre des formes couleur (GRETSI)] [[http://www.lrde.epita.fr/~theo/posters/geraud.2015.gretsi_poster.pdf <span style="color:YellowGreen">poster</span>]] |
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− | |||
− | [http://www.lrde.epita.fr/~theo/papers/geraud.2015.pami.pdf Connected Filtering on Tree-Based Shape-Spaces (PAMI)] [[http://www.youtube.com/watch?v=Kt3FyMBfaXE <span style="color:orange">video</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)] |
[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;">■</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)] [[http://www.lrde.epita.fr/~theo/posters/geraud.2015.ismm_poster.pdf <span style="color:YellowGreen">poster</span>]] |
[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)] [[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;">■</span> |
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[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)] [[http://www.lrde.epita.fr/~theo/slides/geraud.2015.ismm.carlinet_slides.pdf <span style="color:PaleVioletRed">slides</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)] [[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;">■</span> |
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[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)] [[http://www.lrde.epita.fr/~theo/posters/geraud.2015.ismm.xu_poster.pdf <span style="color:YellowGreen">poster</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)] [[http://www.lrde.epita.fr/~theo/posters/geraud.2015.ismm.xu_poster.pdf <span style="color:YellowGreen">poster</span>]] |
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+ | <span style="color:#4682b4;">■</span> |
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[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)] [[http://www.lrde.epita.fr/~theo/slides/geraud.2015.ismm.boutry_slides.pdf <span style="color:PaleVioletRed">slides</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)] [[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;">■</span> |
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+ | [http://www.lrde.epita.fr/~theo/papers/geraud.2015.gretsi.pdf Une approche morphologique de segmentation interactive avec l'arbre des formes couleur (GRETSI)] [[http://www.lrde.epita.fr/~theo/posters/geraud.2015.gretsi_poster.pdf <span style="color:YellowGreen">poster</span>]] |
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'''2014''' |
'''2014''' |
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+ | <span style="color:#b32425;">■</span> |
||
[http://www.lrde.epita.fr/~theo/papers/geraud.2014.tip.xu.pdf Tree-Based Morse Regions: A Topological Approach to Local Feature Detection (TIP)] [[http://www.youtube.com/watch?v=-lP0qWGIUWk <span style="color:orange">video</span>]] |
[http://www.lrde.epita.fr/~theo/papers/geraud.2014.tip.xu.pdf Tree-Based Morse Regions: A Topological Approach to Local Feature Detection (TIP)] [[http://www.youtube.com/watch?v=-lP0qWGIUWk <span style="color:orange">video</span>]] |
||
+ | <span style="color:#b32425;">■</span> |
||
− | [http://www.lrde.epita.fr/~theo/papers/geraud.2014.geodis.carlinet.pdf Traitement d’images multivariées avec l’arbre des formes (GT GéoDis)] [[http://www.lrde.epita.fr/~theo/posters/geraud.2014.geodis.carlinet_poster.pdf <span style="color:YellowGreen">poster</span>]] |
||
+ | [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;">■</span> |
||
− | [http://www.lrde.epita.fr/~theo/papers/geraud.2014.geodis.boutry.pdf Une généralisation du ''bien-composé'' à la dimension ''n'' (GT GéoDis)] [[http://www.lrde.epita.fr/~theo/posters/geraud.2014.geodis.boutry_poster.pdf <span style="color:YellowGreen">poster</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.tip.carlinet.pdf A Comparative Review of Component Tree Computation Algorithms (TIP)] |
||
+ | <span style="color:#4682b4;">■</span> |
||
[http://www.lrde.epita.fr/~theo/papers/geraud.2014.ciarp.pdf Practical Genericity: Writing Image Processing Algorithms Both Reusable and Efficient (CIARP)] [[http://www.lrde.epita.fr/~theo/slides/geraud.2014.ciarp_slides.pdf <span style="color:PaleVioletRed">slides</span>]] |
[http://www.lrde.epita.fr/~theo/papers/geraud.2014.ciarp.pdf Practical Genericity: Writing Image Processing Algorithms Both Reusable and Efficient (CIARP)] [[http://www.lrde.epita.fr/~theo/slides/geraud.2014.ciarp_slides.pdf <span style="color:PaleVioletRed">slides</span>]] |
||
+ | <span style="color:#4682b4;">■</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/slides/geraud.2014.das_slides.pdf <span style="color:PaleVioletRed">slides</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/slides/geraud.2014.das_slides.pdf <span style="color:PaleVioletRed">slides</span>]] |
||
+ | <span style="color:#4682b4;">■</span> |
||
[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)] [[http://www.lrde.epita.fr/~theo/slides/geraud.2014.dgci_slides.pdf <span style="color:PaleVioletRed">slides</span>]] |
[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)] [[http://www.lrde.epita.fr/~theo/slides/geraud.2014.dgci_slides.pdf <span style="color:PaleVioletRed">slides</span>]] |
||
+ | <span style="color:#4682b4;">■</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)] |
[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;">■</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/posters/geraud.2014.icip_poster.pdf <span style="color:YellowGreen">poster</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/posters/geraud.2014.icip_poster.pdf <span style="color:YellowGreen">poster</span>]] |
||
+ | <span style="color:#4682b4;">■</span> |
||
[http://www.lrde.epita.fr/~theo/papers/geraud.2014.icip.carlinet.pdf Tree of Shapes of Multivariate Images: Leads, Traps, and Pitfalls (ICIP)] [[http://www.lrde.epita.fr/~theo/posters/geraud.2014.icip.carlinet_poster.pdf <span style="color:YellowGreen">poster</span>]] |
[http://www.lrde.epita.fr/~theo/papers/geraud.2014.icip.carlinet.pdf Tree of Shapes of Multivariate Images: Leads, Traps, and Pitfalls (ICIP)] [[http://www.lrde.epita.fr/~theo/posters/geraud.2014.icip.carlinet_poster.pdf <span style="color:YellowGreen">poster</span>]] |
||
+ | <span style="color:#4682b4;">■</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/posters/geraud.2014.icip.crozet_poster.pdf <span style="color:YellowGreen">poster</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/posters/geraud.2014.icip.crozet_poster.pdf <span style="color:YellowGreen">poster</span>]] |
||
+ | <span style="color:#4682b4;">■</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/posters/geraud.2014.icip.xu_poster.pdf <span style="color:YellowGreen">poster</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/posters/geraud.2014.icip.xu_poster.pdf <span style="color:YellowGreen">poster</span>]] |
||
+ | <span style="color:#4682b4;">■</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;">■</span> |
||
[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)] |
[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;">■</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.geodis.carlinet.pdf Traitement d’images multivariées avec l’arbre des formes (GT GéoDis)] [[http://www.lrde.epita.fr/~theo/posters/geraud.2014.geodis.carlinet_poster.pdf <span style="color:YellowGreen">poster</span>]] |
||
+ | |||
+ | <span style="color:#00af89;">■</span> |
||
+ | [http://www.lrde.epita.fr/~theo/papers/geraud.2014.geodis.boutry.pdf Une généralisation du ''bien-composé'' à la dimension ''n'' (GT GéoDis)] [[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''' |
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+ | <span style="color:#4682b4;">■</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/posters/geraud.2013.icip_poster.pdf <span style="color:YellowGreen">poster</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/posters/geraud.2013.icip_poster.pdf <span style="color:YellowGreen">poster</span>]] |
||
+ | <span style="color:#4682b4;">■</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/slides/geraud.2013.ismm_slides.pdf <span style="color:PaleVioletRed">slides</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/slides/geraud.2013.ismm_slides.pdf <span style="color:PaleVioletRed">slides</span>]] |
||
+ | <span style="color:#4682b4;">■</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/posters/geraud.2013.ismm_poster.pdf <span style="color:YellowGreen">poster</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/posters/geraud.2013.ismm_poster.pdf <span style="color:YellowGreen">poster</span>]] |
||
+ | <span style="color:#4682b4;">■</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;">■</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)] |
||
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'''2012''' |
'''2012''' |
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+ | <span style="color:#fc3;">■</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/slides/geraud.2012.hdr_slides.pdf <span style="color:PaleVioletRed">slides</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/slides/geraud.2012.hdr_slides.pdf <span style="color:PaleVioletRed">slides</span>]] |
||
+ | <span style="color:#4682b4;">■</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/posters/geraud.2012.icip_poster.pdf <span style="color:YellowGreen">poster</span>]] |
||
+ | [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)] [[http://www.lrde.epita.fr/~theo/posters/geraud.2012.icip_poster.pdf <span style="color:YellowGreen">poster</span>]] |
||
+ | <span style="color:#4682b4;">■</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;">■</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)] |
||
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'''2011''' |
'''2011''' |
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+ | <span style="color:#4682b4;">■</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/posters/geraud.2011.gretsi_poster.pdf <span style="color:YellowGreen">poster</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/posters/geraud.2011.icdar_poster.pdf <span style="color:YellowGreen">poster</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/posters/geraud.2011.icdar_poster.pdf <span style="color:YellowGreen">poster</span>]] |
||
+ | |||
+ | <span style="color:#00af89;">■</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/posters/geraud.2011.gretsi_poster.pdf <span style="color:YellowGreen">poster</span>]] |
||
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'''2010''' |
'''2010''' |
||
+ | <span style="color:#000;">■</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;">■</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/posters/geraud.2010.icip_poster.pdf <span style="color:YellowGreen">poster</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/posters/geraud.2010.icip_poster.pdf <span style="color:YellowGreen">poster</span>]] |
||
+ | <span style="color:#4682b4;">■</span> |
||
+ | [http://www.lrde.epita.fr/~theo/papers/geraud.2010.wadgmm.pdf Writing Reusable Digital Geometry Algorithms in a Generic Image Processing Framework (WADGMM)] [[http://www.lrde.epita.fr/~theo/slides/geraud.2010.wadgmm_slides.pdf <span style="color:YellowGreen">poster</span>]] |
||
+ | |||
+ | <span style="color:#00af89;">■</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)] [[http://www.lrde.epita.fr/~theo/slides/geraud.2010.wadgmm_slides.pdf <span style="color:YellowGreen">poster</span>]] |
||
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'''2009''' |
'''2009''' |
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+ | <span style="color:#4682b4;">■</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/slides/geraud.2009.ismm_slides.pdf <span style="color:PaleVioletRed">slides</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/slides/geraud.2009.ismm_slides.pdf <span style="color:PaleVioletRed">slides</span>]] |
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'''2008''' |
'''2008''' |
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+ | <span style="color:#a2a9b1;">■</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)] |
||
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'''2007''' |
'''2007''' |
||
+ | <span style="color:#4682b4;">■</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;">■</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)] |
||
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'''2005''' |
'''2005''' |
||
+ | <span style="color:#000;">■</span> |
||
+ | [http://www.amazon.fr/dp/2744071447 Standards de Programmation C++ (EN2FR)] |
||
+ | |||
+ | <span style="color:#b32425;">■</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)] |
||
+ | |||
+ | <span style="color:#4682b4;">■</span> |
||
[http://www.lrde.epita.fr/~theo/papers/geraud.2005.adass.pdf Project EFIGI: Automatic Classification of Galaxies (ADASS)] |
[http://www.lrde.epita.fr/~theo/papers/geraud.2005.adass.pdf Project EFIGI: Automatic Classification of Galaxies (ADASS)] |
||
+ | <span style="color:#4682b4;">■</span> |
||
[http://www.lrde.epita.fr/~theo/papers/geraud.2005.ismm.pdf Ruminations on Tarjan's Union-Find Algorithm and Connected Operators (ISMM)] [[http://www.lrde.epita.fr/~theo/slides/geraud.2005.ismm_slides.pdf <span style="color:PaleVioletRed">slides</span>]] |
[http://www.lrde.epita.fr/~theo/papers/geraud.2005.ismm.pdf Ruminations on Tarjan's Union-Find Algorithm and Connected Operators (ISMM)] [[http://www.lrde.epita.fr/~theo/slides/geraud.2005.ismm_slides.pdf <span style="color:PaleVioletRed">slides</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)] |
||
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'''2004''' |
'''2004''' |
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+ | <span style="color:#b32425;">■</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;">■</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;">■</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)] |
||
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'''2003''' |
'''2003''' |
||
+ | <span style="color:#b32425;">■</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;">■</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/slides/geraud.2003.grec_slides.pdf <span style="color:PaleVioletRed">slides</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/slides/geraud.2003.grec_slides.pdf <span style="color:PaleVioletRed">slides</span>]] |
||
+ | <span style="color:#4682b4;">■</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;">■</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;">■</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)] [[http://www.lrde.epita.fr/~theo/slides/geraud.2003.nsip_slides.pdf <span style="color:PaleVioletRed">slides</span>]] |
||
+ | <span style="color:#a2a9b1;">■</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/slides/geraud.2003.mpool_slides.pdf <span style="color:PaleVioletRed">slides</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/slides/geraud.2003.mpool_slides.pdf <span style="color:PaleVioletRed">slides</span>]] |
||
+ | <span style="color:#00af89;">■</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/slides/geraud.2003.nsip_slides.pdf <span style="color:PaleVioletRed">slides</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)] |
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'''2002''' |
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+ | <span style="color:#4682b4;">■</span> |
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[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)] |
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'''2001''' |
'''2001''' |
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+ | <span style="color:#4682b4;">■</span> |
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[http://www.lrde.epita.fr/~theo/papers/geraud.2001.ai.pdf Applying Generic Programming to Image Processing (AI)] [[http://www.lrde.epita.fr/~theo/slides/geraud.2001.ai_slides.pdf <span style="color:PaleVioletRed">slides</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/slides/geraud.2001.ai_slides.pdf <span style="color:PaleVioletRed">slides</span>]] |
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+ | <span style="color:#4682b4;">■</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;">■</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/slides/geraud.2001.icip_slides.pdf <span style="color:PaleVioletRed">slides</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/slides/geraud.2001.icip_slides.pdf <span style="color:PaleVioletRed">slides</span>]] |
||
+ | <span style="color:#00af89;">■</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)] |
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'''2000''' |
'''2000''' |
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+ | <span style="color:#4682b4;">■</span> |
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[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/slides/geraud.2000.egve_slides.pdf <span style="color:PaleVioletRed">slides</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/slides/geraud.2000.egve_slides.pdf <span style="color:PaleVioletRed">slides</span>]] |
||
+ | <span style="color:#4682b4;">■</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;">■</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;">■</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;">■</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)] [[http://www.lrde.epita.fr/~theo/slides/geraud.2000.vw_slides.pdf <span style="color:PaleVioletRed">slides</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/slides/geraud.2000.vw_slides.pdf <span style="color:PaleVioletRed">slides</span>]] |
||
+ | |||
+ | <span style="color:#00af89;">■</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)] |
||
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'''1999''' |
'''1999''' |
||
+ | <span style="color:#4682b4;">■</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;">■</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)] |
||
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'''1998''' |
'''1998''' |
||
+ | <span style="color:#fc3;">■</span> |
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− | [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)] |
||
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'''1996''' |
'''1996''' |
||
+ | <span style="color:#4682b4;">■</span> |
||
[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)] |
[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)] |
||
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'''1995''' |
'''1995''' |
||
+ | <span style="color:#4682b4;">■</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;">■</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)] |
||
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'''1993''' |
'''1993''' |
||
+ | <span style="color:#4682b4;">■</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
■ 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
■ 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
■ 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)
■ A 4D counter-example showing that DWCness does not imply CWCness in n-D (IWCIA)
2019
■ Connected Filters on Generalized Shape-Spaces (PRL)
■ Braids of Partitions for the Hierarchical Representation and Segmentation of Multimodal Images (PR)
■ 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]
■ 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)
■ 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]
■ 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]
■ 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]
■ 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)
■ 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)
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
■ 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]
2009
■ Milena: Write Generic Morphological Algorithms Once, Run on Many Kinds of Images (ISMM) [slides]
2008
2007
2005
■ Standards de Programmation C++ (EN2FR)
■ Project EFIGI: Automatic Classification of Galaxies (ADASS)
■ Ruminations on Tarjan's Union-Find Algorithm and Connected Operators (ISMM) [slides]
2004
■ Fast Color Image Segmentation Based on Levellings in Feature Space (ICCVG)
■ Generic Algorithmic Blocks Dedicated to Image Processing (ECOOP-PhD)
2003
■ Document Type Recognition using Evidence Theory (GREC) [slides]
■ Segmentation of Curvilinear Objects using a Watershed-Based Curve Adjacency Graph (IbPRIA)
■ 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]
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]
■ 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]
1999
■ 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
1995
1993
■ New High Performance 3D Registration Algorithms for 3D Medical Images (SPIEMI)