Nicolas Passat
Publications
Publications
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3T MRI 4D flow sequence acquisition time reduction on a vascular phantomInternational Symposium on Biomedical Imaging (ISBI), 2026, London, United Kingdom |
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Designing connected operators using the topological tree of shapesInternational Conference on Discrete Geometry and Mathematical Morphology (DGMM), 2025, Groningen, Netherlands. pp.195-209, ⟨10.1007/978-3-032-09544-2_14⟩ |
Physiological pattern detection of neonatal EEGs: a U-Net segmentation approachConference on Non-stationarity and statistics for EEG, Sep 2025, Nanterre, France |
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Label-constrained unsupervised domain adaptation for semantic segmentation with diffusion modelsInternational Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025, Hyderabad, India. ⟨10.1109/ICASSP49660.2025.10888617⟩ |
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Efficient connected alternating sequential filters based on component treesInternational Conference on Discrete Geometry and Mathematical Morphology (DGMM), 2025, Groningen, Netherlands. pp.210-223, ⟨10.1007/978-3-032-09544-2_15⟩ |
Conception de filtres connexes basés sur l'arbre topologique des formesJournées du Groupe de Travail en Géométrie Discrète et Morphologie Mathématique (GDMM), 2025, Chambéry, France |
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Tutorial – Topological image analysis based on morphological hierarchiesInternational Conference on Discrete Geometry and Mathematical Morphology (DGMM), 2025, Groningen, Netherlands |
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A real-world patient MR angiography (MRA) database for brain vasculature segmentation and modelling in predictive simulation for the planning of interventional neuroradiology procedures (PreSPIN)ESMRMB 2025 Online 41st Annual Scientific Meeting 8–11 October 2025, The European Society for Magnetic Resonance in Medicine and Biology, Oct 2025, Marseille, France. ⟨10.1007/s10334-025-01278-8⟩ |
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Multi-label neonatal EEG segmentation enriched with semi-synthetic dataInternational Symposium on Biomedical Imaging (ISBI), 2025, Huston, United States. ⟨10.1109/ISBI60581.2025.10980955⟩ |
Hemodynamic Modeling of Cerebral Aneurysms: Coupling 4D Flow MRI and Finite Element SimulationsFreeFEM Days, Laboratoire Jacques-Louis Lions (LJLL), Sorbonne Université, Dec 2025, Paris, France |
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Automatic segmentation of neonatal electroencephalography for assisted interpretation: a multi label approachJournées Calcul et Données (JCAD), 2025, Lille, France |
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Optimisation du temps d'acquisition de la séquence de flux 4D en IRM 3T pour l'imagerie de vaisseaux cérébrauxJournée thématique Imagerie vasculaire (GdR IASIS), 2025, Paris, France |
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Arbres morphologiques de partitions partielles : tutoriel, avancées, perspectivesJournées du Groupe de Travail en Géométrie Discrète et Morphologie Mathématique (GDMM), 2025, Chambéry, France |
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Comparaison d'une séquence IRM de flux 4D et de la simulation numérique pour l'étude hémodynamique des anévrismes intracrâniensCongrès de la Société de Mathématiques Appliquées et Industrielles (SMAI), Société des Mathématiques Appliquées et Industrielles, 2025, Carcans Maubuisson, France |
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Early Alterations of Diabetic Mouse Aortas Revealed by X-ray micro-CTSoleil User Meeting (SUM), Synchrotron SOLEIL, 2024, Saint Aubin, France |
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Convex optimization for binary tree-based transport networksInternational Conference on Discrete Geometry and Mathematical Morphology (DGMM), 2024, Florence, Italy. pp.217-228, ⟨10.1007/978-3-031-57793-2_17⟩ |
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Bijectivity analysis of finite rotations on Z2: A hierarchical approachInternational Conference on Discrete Geometry and Mathematical Morphology (DGMM), 2024, Florence, Italy. pp.3-15, ⟨10.1007/978-3-031-57793-2_1⟩ |
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Building the topological tree of shapes from the tree of shapesInternational Conference on Discrete Geometry and Mathematical Morphology (DGMM), 2024, Florence, Italy. pp.271-285, ⟨10.1007/978-3-031-57793-2_21⟩ |
Finite rotations on Z2: hierarchical structure and bijectivity analysisJournées du Groupe de Travail en Géométrie Discrète et Morphologie Mathématique (GDMM), 2024, Luminy, France |
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How to modify the tree of shapes of an image: Connected operators without gradient inversionReconnaissance des Formes, Image, Apprentissage et Perception (RFIAP), Association française pour la reconnaissance et l'interprétation des formes, Jul 2024, Lille, France |
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Multi-scale component trees for enhanced representation in multiplex immunohistochemistry imagingInternational Symposium on Biomedical Imaging (ISBI), May 2024, Athènes, Greece. ⟨10.1109/ISBI56570.2024.10635272⟩ |
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How to modify the tree of shapes of an image: Connected operators without gradient inversionInternational Conference on Pattern Recognition (ICPR), 2024, Kolkata, India. pp.1-18, ⟨10.1007/978-3-031-78347-0_1⟩ |
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Développement d'un modèle radiomique TEP utilisant une moyenne pondérée pour prédire la localisation de la seconde récidive après réirradiation pour un cancer de la tête et du couCongrès de la Société Française de Radiothérapie Oncologique (SFRO), 2024, Paris, France |
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New algorithms for multivalued component-treesInternational Conference on Pattern Recognition (ICPR), 2024, Kolkata, India. pp.19-35, ⟨10.1007/978-3-031-78347-0_2⟩ |
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Multi-scale component-tree: A hierarchical representation of sparse objectsInternational Conference on Discrete Geometry and Mathematical Morphology (DGMM), Apr 2024, Florence, Italy. pp.312-324, ⟨10.1007/978-3-031-57793-2_24⟩ |
How to modify the tree of shapes of an image: Connected operators without gradient inversionConference Geometry & Computing / Journées du Groupe de Travail en Géométrie Discrète et Morphologie Mathématique (GDMM), 2024, Luminy, France |
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ccDice: A topology-aware Dice score based on connected componentsWorkshop on Topology- and Graph-Informed Imaging Informatics (TGI3@MICCAI), 2024, Marrakesh, Morocco. pp.11-21, ⟨10.1007/978-3-031-73967-5_2⟩ |
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Automated aortic anatomy analysis: From image to clinical indicatorsEngineering in Medicine and Biology Conference (EMBC), 2023, Sidney, Australia. ⟨10.1109/EMBC40787.2023.10340921⟩ |
Arbre topologique des formes : algorithme de construction et applicationJournées du Groupe de Travail en Géométrie Discrète et Morphologie Mathématique (GDMM), Jul 2023, Caen, France |
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Mouse arterial wall analysis from synchrotron micro-CT imagingJournée ISS (International Society for Stereology) France, 2023, Paris, France |
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OpenCCO : Une implémentation de l’algorithme CCO pour la construction d’arbres vasculaires 2D et 3DAtelier R-Vessel-X 2023, Jun 2023, Lyon, France |
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Exploring damaged elastic arteries by Synchrotron X-ray Micro-CTCongrès de la Société Française de Biomécanique, 2023, Grenoble, France. pp.S30-S32, ⟨10.1080/10255842.2023.2246304⟩ |
Transformations affines discrètes sous contraintes topologiques et géométriques. Approche d'optimisation sur les complexes cellulairesJournées du Groupe de Travail en Géométrie Discrète et Morphologie Mathématique (GDMM), 2022, Bordeaux, France |
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Imagerie et analyse des parois d’artères avec la microtomographie aux rayons X synchrotronJournée Rémoise des Jeunes Chercheurs en Santé (JRJCS), 2022, Reims, France |
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Analysis of diabetes alteration of the mouse aorta from synchrotron micro-CT imagingComputational and Mathematical Biomedical Engineering (CMBE), 2022, Milano, Italy. pp.609-612 |
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Aortic arch anatomy characterization from MRA: A CNN-based segmentation approachInternational Symposium on Biomedical Imaging (ISBI), 2022, Kolkata, India. pp.1-5, ⟨10.1109/ISBI52829.2022.9761708⟩ |
Caractérisation anatomique de l’arche aortique à partir de volumes ARM : une approche de segmentation basée sur les CNNJournée ISS France, 2022, (Distanciel), France |
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A topological tree of shapesInternational Conference on Discrete Geometry and Mathematical Morphology (DGMM), Oct 2022, Strasbourg, France. pp.221-235, ⟨10.1007/978-3-031-19897-7_18⟩ |
Adaptive homotopy for organ segmentationComputer Assisted Radiology and Surgery (CARS), 2022, Tokyo, Japan |
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Mouse arterial wall imaging and analysis from synchrotron X-ray microtomographyIEEE International Conference on Image Processing (ICIP), 2022, Bordeaux, France. pp.3731-3735, ⟨10.1109/ICIP46576.2022.9897780⟩ |
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Homotopic Digital Rigid Motion: An Optimization Approach on Cellular ComplexesInternational Conference on Discrete Geometry and Mathematical Morphology (DGMM), 2021, Uppsala (virtual), Sweden. pp.189-201, ⟨10.1007/978-3-030-76657-3_13⟩ |
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Quasi-regularity verification for 2D polygonal objects based on medial axis analysisInternational Conference on Image Processing (ICIP), Sep 2021, Anchorage, Alaska, United States. pp.1584-1588, ⟨10.1109/ICIP42928.2021.9506543⟩ |
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Structure, Concept and Result Reproducibility of the Benchmark on Vesselness FiltersReproducible Research in Pattern Recognition (RRPR), 2021, Milan, Italy. pp.121-135, ⟨10.1007/978-3-030-76423-4_8⟩ |
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Analysis of lymph node tumor features in PET/CT for segmentationInternational Symposium on Biomedical Imaging (ISBI), 2021, Nice, France. pp.588-592, ⟨10.1109/ISBI48211.2021.9433791⟩ |
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Preliminary results with a new annotation tool for liver volume and inner vessels from DCE-MRI dataVirtual Physiological Human (VPH), 2020, Paris, France |
Automatic segmentation of axillary lymph nodes in PET/CT scans: A hybrid CNN / component-tree approachJournée ISS France, 2020, Paris, France |
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Vesselness filters: A survey with benchmarks applied to liver imagingInternational Conference on Pattern Recognition (ICPR), 2020, Milan, Italy. pp.3528-3535, ⟨10.1109/ICPR48806.2021.9412362⟩ |
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Réseaux antagonistes génératifs pour la reconstruction super-résolution et la segmentation en IRMExtraction et Gestion des Connaissances - Atelier Apprentissage Profond : Théorie et Applications (APTA@EGC), 2020, Bruxelles, Belgique |
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A benchmark preview of liver vessel enhancement algorithmsVirtual Physiological Human (VPH), 2020, Paris, France |
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Segmentation of axillary lymph nodes in PET/CT scans: First experimentsExtraction et Gestion des Connaissances - Atelier Apprentissage Profond : Théorie et Applications (APTA@EGC), 2020, Bruxelles, Belgium |
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Segmentation of axillary and supraclavicular tumoral lymph nodes in PET/CT: A hybrid CNN/component-tree approachInternational Conference on Pattern Recognition (ICPR), 2020, Milan (virtuel), Italy. pp.6672-6679, ⟨10.1109/ICPR48806.2021.9412343⟩ |
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Evaluation of cortical segmentation pipelines on clinical neonatal MRI dataEngineering in Medicine and Biology Conference (EMBC), 2019, Berlin, Germany. pp.6553-6556, ⟨10.1109/EMBC.2019.8856795⟩ |
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Rigid motions in the cubic grid: A discussion on topological issuesDiscrete Geometry for Computer Imagery (DGCI), 2019, Marne-la-Vallée, France. pp.127-140, ⟨10.1007/978-3-030-14085-4_11⟩ |
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Hierarchical approach for neonate cerebellum segmentation from MRI: An experimental studyInternational Symposium on Mathematical Morphology (ISMM), 2019, Saarbrücken, Germany. pp.483-495, ⟨10.1007/978-3-030-20867-7_37⟩ |
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Super-résolution et segmentation simultanées d’IRM cérébrales néonatales par réseaux antagonistes génératifsCongrès National d’Imagerie du Vivant (CNIV), 2019, Paris, France |
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Simultaneous super-resolution and segmentation using a generative adversarial network: Application to neonatal brain MRIInternational Symposium on Biomedical Imaging (ISBI), 2019, Venice, Italy. pp.991-994, ⟨10.1109/ISBI.2019.8759255⟩ |
Component-trees: Structural and spectral extensionsWorkshop on Digital Topology and Mathematical Morphology (DTMM), 2019, Noisy-le-Grand, France |
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Multilabel, multiscale topological transformation for cerebral MRI segmentation post-processingInternational Symposium on Mathematical Morphology (ISMM), 2019, Saarbrücken, Germany. pp.471-482, ⟨10.1007/978-3-030-20867-7_36⟩ |
Segmentation d'IRM de cervelet de nouveau-nés prématurés par approche hiérarchiqueJournée ISS France, 2019, Paris, France |
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Une approche par patchs, multi-atlas, itérative pour la segmentation du cortex cérébral en IRM néonataleCongrès Reconnaissance des Formes, Image, Apprentissage et Perception (RFIAP), 2018, Marne-la-Vallée, France |
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Convexity invariance of voxel objects under rigid motionsInternational Conference on Pattern Recognition (ICPR), 2018, Beijing, China. pp.1157-1162, ⟨10.1109/ICPR.2018.8545023⟩ |
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Intrinsic quality analysis of binary partition treesInternational Conference on Pattern Recognition and Artificial Intelligence (ICPRAI), 2018, Montréal, Canada. pp.114-119 |
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Matching filtering by region-based attributes on hierarchical structures for image co-segmentationInternational Conference on Image Processing (ICIP), 2018, Athens, Greece. pp.131-135, ⟨10.1109/ICIP.2018.8451384⟩ |
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Discrete regular polygons for digital shape rigid motion via polygonizationInternational Workshop on Reproducible Research on Pattern Recognition (RRPR), 2018, Beijing, China. pp.55-70, ⟨10.1007/978-3-030-23987-9_4⟩ |
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Segmentation 3D des lésions du lymphome à partir de descripteurs multimodaux TEP/TDMJournée thématique du GdR ISIS : "Segmentation d'images biomédicales : quels outils pour l'analyse des données massives, hétérogènes et multimodales ?", 2018, Paris, France |
Geometric-preserving rigid motions of digital objectsJournées Informatique et Géométrie (JIG), 2018, Lyon, France |
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Imagerie angiographique : du réel au numériqueCongrès de la Nouvelle Société Française d'Athérosclérose (NSFA), 2018, Biarritz, France |
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Hierarchical forest attributes for multimodal tumor segmentation on FDG-PET/contrast-enhanced CTInternational Symposium on Biomedical Imaging (ISBI), 2018, Washington, United States. pp.163-167, ⟨10.1109/ISBI.2018.8363546⟩ |
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Transformations rigides pour les objets discrets non-convexes en 2DJournées du Groupe de Travail en Modélisation Géométrique (GTMG), 2018, Aix-en-Provence, France |
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Honeycomb geometry: Rigid motions on the hexagonal gridDiscrete Geometry for Computer Imagery (DGCI), 2017, Vienne, Austria. pp.33-45, ⟨10.1007/978-3-319-66272-5_4⟩ |
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Les arbres de coupes comme extracteur d'attributs pour la segmentation multi-images par marche aléatoireGRETSI, 2017, Juan-les-Pins, France |
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Convexity-preserving rigid motions of 2D digital objectsDiscrete Geometry for Computer Imagery (DGCI), 2017, Vienna, Austria. pp.69-81, ⟨10.1007/978-3-319-66272-5_7⟩ |
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Automated 3D lymphoma lesion segmentation from PET/CT characteristicsInternational Symposium on Biomedical Imaging (ISBI), 2017, Melbourne, Australia. pp.174-178, ⟨10.1109/ISBI.2017.7950495⟩ |
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Réflexions sur l'évaluation supervisée de la qualité d'un arbre binaire de partitions d'imageExtraction et Gestion des Connaissances - Atelier Fouille de Données Complexes (FDC@EGC), 2017, Grenoble, France |
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Implicit component-graph: A discussionInternational Symposium on Mathematical Morphology (ISMM), 2017, Fontainebleau, France. pp.235-248, ⟨10.1007/978-3-319-57240-6_19⟩ |
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Evaluating the quality of binary partition trees based on uncertain semantic ground-truth for image segmentationInternational Conference on Image Processing (ICIP), 2017, Beijing, China. pp.3874-3878, ⟨10.1109/ICIP.2017.8297008⟩ |
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Régularisation directionnelle pour la segmentation de structures curvilignesGRETSI, 2017, Juan-les-Pins, France |
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Multicriteria 3D PET image segmentationImage Processing Theory, Tools and Applications (IPTA), 2015, Orléans, France. pp.346-351, ⟨10.1109/IPTA.2015.7367162⟩ |
Construction d’arbres binaires de partitions à partir de caractéristiques multiples pour la segmentation d’imagesSAGEO - Atelier collaboration, classification, connaissances et données de l’environnement (C3DE@SAGEO), 2016, Nice, France |
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Bijective rigid motions of the 2D Cartesian gridDiscrete Geometry for Computer Imagery (DGCI), 2016, Nantes, France. pp.359-371, ⟨10.1007/978-3-319-32360-2_28⟩ |
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From real MRA to virtual MRA: Towards an open-source frameworkMedical Image Computing and Computer-Assisted Intervention (MICCAI), 2016, Athènes, France. pp.335-343, ⟨10.1007/978-3-319-46726-9_39⟩ |
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A variational model for thin structure segmentation based on a directional regularizationInternational Conference on Image Processing (ICIP), 2016, Phoenix, United States. pp.4324-4328, ⟨10.1109/ICIP.2016.7533176⟩ |
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Bijectivity certification of 3D digitized rotationsComputational Topology in Image Context (CTIC), 2016, Marseille, France. pp.30-41, ⟨10.1007/978-3-319-39441-1_4⟩ |
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Multi-image segmentation: A collaborative approach based on binary partition treesInternational Symposium on Mathematical Morphology (ISMM), 2015, Reykjavik, Iceland. pp.253-264, ⟨10.1007/978-3-319-18720-4_22⟩ |
Segmentation multi-image : approche collaborative basée sur les arbres binaires de partitionsJournée ISS France, 2015, Paris, France |
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Shape-based analysis on component-graphs for multivalued image processingInternational Symposium on Mathematical Morphology (ISMM), 2015, Reykjavik, Iceland. pp.446-457, ⟨10.1007/978-3-319-18720-4_38⟩ |
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Ranking orientation responses of path operators: Motivations, choices and algorithmicsInternational Symposium on Mathematical Morphology (ISMM), 2015, Reykjavik, Iceland. pp.633-644, ⟨10.1007/978-3-319-18720-4_53⟩ |
Hiérarchies et analyse dans l'espace des formes pour la segmentation des images de tomographie par émission de positonsJournée ISS France, 2015, Paris, France |
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Variational method combined with Frangi vesselness for tubular object segmentationComputational & Mathematical Biomedical Engineering (CMBE), 2015, Paris, France. pp.485-488 |
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Hierarchies and shape-space for PET image segmentationInternational Symposium on Biomedical Imaging (ISBI), 2015, New York, United States. pp.1118-1121, ⟨10.1109/ISBI.2015.7164068⟩ |
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Efficient neighbourhood computing for discrete rigid transformation graph searchDiscrete Geometry for Computer Imagery (DGCI), 2014, Sienne, Italy. pp.99-110, ⟨10.1007/978-3-319-09955-2_9⟩ |
Nouveaux opérateurs morphologiques pour la détection d'objets tubulairesJournée ISS France, 2014, Paris, France |
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Tubular structure filtering by ranking orientation responses of path operatorsEuropean Conference on Computer Vision (ECCV), 2014, Zürich, Switzerland. pp.203-218, ⟨10.1007/978-3-319-10605-2_14⟩ |
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A non-local Chan-Vese model for sparse, tubular object segmentationInternational Conference on Image Processing (ICIP), 2014, Paris, France. pp.907-911, ⟨10.1109/ICIP.2014.7025182⟩ |
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3D CFD in complex vascular systems: A case studyInternational Symposium on Biomedical Simulation (ISBMS), 2014, Strasbourg, France. pp.86-94, ⟨10.1007/978-3-319-12057-7_10⟩ |
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Topological alterations of 3D digital images under rigid transformationsReims Image, 2014, Reims, France. pp.31-33 |
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Tubular structure filtering by ranking orientation responses of path operatorsReims Image, 2014, Reims, France |
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Colour image filtering with component-graphsInternational Conference on Pattern Recognition (ICPR), 2014, Stockholm, Sweden. pp.1621-1626, ⟨10.1109/ICPR.2014.287⟩ |
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Multivalued component-tree filteringInternational Conference on Pattern Recognition (ICPR), 2014, Stockholm, Sweden. pp.1008-1013, ⟨10.1109/ICPR.2014.183⟩ |
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Morphology-based cerebrovascular atlasInternational Symposium on Biomedical Imaging (ISBI), 2013, San-Francisco, CA, United States. pp.1210-1214, ⟨10.1109/ISBI.2013.6556698⟩ |
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Semi-connections and hierarchiesInternational Symposium on Mathematical Morphology (ISMM), 2013, Uppsala, Sweden. pp.157-168, ⟨10.1007/978-3-642-38294-9_14⟩ |
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Digital shapes, digital boundaries and rigid transformations: A topological discussionCourbure discrète : théorie et applications, 2013, Luminy, France. pp.195-201 |
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Towards connected filtering based on component-graphsInternational Symposium on Mathematical Morphology (ISMM), 2013, Uppsala, Sweden. pp.350-361, ⟨10.1007/978-3-642-38294-9_30⟩ |
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Well-composed images and rigid transformationsInternational Conference on Image Processing (ICIP), 2013, Melbourne, Australia. pp.3035-3039, ⟨10.1109/ICIP.2013.6738625⟩ |
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Discrete rigid transformation graph search for 2D image registrationPSIVT Workshops, 2013, Guanajuato, Mexico. pp.228-239, ⟨10.1007/978-3-642-53926-8_21⟩ |
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From 2D markers in MIP to 3D vessel segmentation: A fuzzy paradigm for connected filteringInternational Symposium on Biomedical Imaging (ISBI), 2013, San Francisco, United States. pp.922-925, ⟨10.1109/ISBI.2013.6556626⟩ |
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Sufficient conditions for topological invariance of 2D images under rigid transformationsDiscrete Geometry for Computer Imagery (DGCI), 2013, Seville, Spain. pp.155-168, ⟨10.1007/978-3-642-37067-0_14⟩ |
Préservation topologique des images numériques 2D par transformations rigidesJournées du Groupe de Travail en Géométrie Discrète (GT GeoDis), 2013, Paris, France |
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Thin structure filtering framework with non-local means, Gaussian derivatives and spatially-variant mathematical morphologyInternational Conference on Image Processing (ICIP), 2013, Melbourne, Australia. pp.1237-1241, ⟨10.1109/ICIP.2013.6738255⟩ |
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Combinatorial properties of 2D discrete rigid transformations under pixel-invariance constraintsInternational Workshop on Combinatorial Image Analysis (IWCIA), 2012, Austin, United States. pp.234-248, ⟨10.1007/978-3-642-34732-0_18⟩ |
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A histogram semantic-based distance for multiresolution image classificationInternational Conference on Image Processing (ICIP), 2012, Orlando, United States. pp.1157-1160, ⟨10.1109/ICIP.2012.6467070⟩ |
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Domain adaptation for the extraction of complex urban patterns from multiresolution satellite imagesInternational Geoscience and Remote Sensing Symposium (IGARSS), 2012, Munich, France. pp.1773-1776, ⟨10.1109/IGARSS.2012.6351172⟩ |
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Hierarchical segmentation of multiresolution remote sensing imagesInternational Symposium on Mathematical Morphology (ISMM), 2011, Intra, Lake Maggiore, Italy. pp.343-354, ⟨10.1007/978-3-642-21569-8_30⟩ |
Observation multi-capteurs d'objets environnementauxForum de restitution des résultats des travaux scientifiques (réseau REALISE), Mar 2011, Strasbourg, France |
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Morphologie urbaine et classification d'images orientées-objetsCongrès de l'ACFAS, Colloque "Télédétection urbaine : nouvelles avenues et applications avec l’imagerie à très haute résolution spatiale", May 2011, Sherbrooke, Canada |
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An interactive approach for extraction of urban patterns from multisource imagesJoint Urban Remote Sensing Event (JURSE), 2011, Munich, Germany. pp.321-324, ⟨10.1109/JURSE.2011.5764784⟩ |
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Interactive 3D brain vessel segmentation from an exampleInternational Symposium on Biomedical Imaging (ISBI), 2011, Chicago, United States. pp.1121-1124, ⟨10.1109/ISBI.2011.5872598⟩ |
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Component-hypertrees for image segmentationInternational Symposium on Mathematical Morphology (ISMM), 2011, Intra, Lake Maggiore, Italy. pp.284-295, ⟨10.1007/978-3-642-21569-8_25⟩ |
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Segmentation of the cortex in fetal MRI using a topological modelInternational Symposium on Biomedical Imaging (ISBI), 2011, Chicago, United States. pp.2045-2048, ⟨10.1109/ISBI.2011.5872814⟩ |
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A statistical arteriovenous cerebral atlasMICCAI Workshop on Computing and Visualization for (Intra)Vascular Imaging (CVII@MICCAI), 2011, Toronto, Canada. pp.73-80 |
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A unified topological framework for digital imagingDiscrete Geometry for Computer Imagery (DGCI), 2011, Nancy, France. pp.163-174, ⟨10.1007/978-3-642-19867-0_14⟩ |
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Data-driven cortex segmentation in reconstructed fetal MRI by using structural constraintsInternational Conference on Computer Analysis of Images and Patterns (CAIP), 2011, Seville, Spain. pp.503-511, ⟨10.1007/978-3-642-23672-3_61⟩ |
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Selection of relevant nodes from component-trees in linear timeDiscrete Geometry for Computer Imagery (DGCI), 2011, Nancy, France. pp.453-464, ⟨10.1007/978-3-642-19867-0_38⟩ |
Topology-preserving transformation of discrete images in the cubic gridDigital Geometry and Computer Vision Workshop, 2010, Paris, France |
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Attribute-filtering and knowledge extraction for vessel segmentationInternational Symposium on Visual Computing (ISVC), 2010, Las Vegas, United States. pp.13-22, ⟨10.1007/978-3-642-17289-2_2⟩ |
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Segmentation of complex images based on component-trees: Methodological toolsInternational Symposium on Mathematical Morphology (ISMM), 2009, Groningen, Netherlands. pp.171-180, ⟨10.1007/978-3-642-03613-2_16⟩ |
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Component-trees and multivalued images: A comparative studyInternational Symposium on Mathematical Morphology (ISMM), 2009, Groningen, Netherlands. pp.261-271, ⟨10.1007/978-3-642-03613-2_24⟩ |
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Topology-preserving thinning in 2-D pseudomanifoldsDiscrete Geometry for Computer Imagery (DGCI), 2009, Lyon, France. pp.217-228, ⟨10.1007/978-3-642-04397-0_19⟩ |
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An extension of component-trees to partial ordersInternational Conference on Image Processing (ICIP), 2009, Cairo, Egypt. pp.3981-3984, ⟨10.1109/ICIP.2009.5413807⟩ |
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Spatially-variant morpho-Hessian filter: Efficient implementation and applicationInternational Symposium on Mathematical Morphology (ISMM), 2009, Groningen, Netherlands. pp.137-148, ⟨10.1007/978-3-642-03613-2_13⟩ |
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Blur grey-level hit-or-miss transform for fully automatic 3D segmentation of coronary arteriesInternational Symposium on Mathematical Morphology (ISMM), 2009, Groninguen, Netherlands |
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Direction-adaptive grey-level morphology. Application to 3D vascular brain imagingInternational Conference on Image Processing (ICIP), 2009, Cairo, Egypt. pp.2261-2264, ⟨10.1109/ICIP.2009.5414356⟩ |
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A non-local fuzzy segmentation method: Application to brain MRIInternational Conference on Computer Analysis of Images and Patterns (CAIP), 2009, Münster, Germany. pp.606-613, ⟨10.1007/978-3-642-03767-2_74⟩ |
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Topology preserving warping of binary images: Application to atlas-based skull segmentationMedical Image Computing and Computer-Assisted Intervention (MICCAI), 2008, New York, United States. pp.211-218, ⟨10.1007/978-3-540-85988-8_26⟩ |
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Minimal simple pairs in the cubic gridDiscrete Geometry for Computer Imagery (DGCI), 2008, Lyon, France. pp.165-176, ⟨10.1007/978-3-540-79126-3_16⟩ |
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Topology-preserving discrete deformable model: Application to multi-segmentation of brain MRIInternational Conference on Image and Signal Processing (ICISP), 2008, Cherbourg-Octeville, France. pp.67-75, ⟨10.1007/978-3-540-69905-7_8⟩ |
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Topology-preservation in 3-D image deformation and registration: Methodology and medical applicationsComputational Topology in Image Context (CTIC), 2008, Poitiers, France |
Fully automatic 3D segmentation of coronary arteries based on mathematical morphologyInternational Symposium on Biomedical Imaging (ISBI), 2008, Paris, France. pp.1059-1062, ⟨10.1109/ISBI.2008.4541182⟩ |
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Minimal simple sets: A new concept for topology-preserving transformationsComputational Topology in Image Context (CTIC), 2008, Poitiers, France |
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Segmentation of head bones in 3-D CT images from an exampleInternational Symposium on Biomedical Imaging (ISBI), 2008, Paris, France. pp.81-84, ⟨10.1109/ISBI.2008.4540937⟩ |
Analyse des structures vasculaires cérébrales obtenues en IRM. Guidage d'approches discrètes par connaissance anatomiqueJournée thématique des GdR ISIS / STIC-Santé : Segmentation de structures anatomiques avec intégration d'a priori géométrique, 2007, Paris, France |
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Segmentation using vector-attribute filters: Methodology and application to dermatological imagingInternational Symposium on Mathematical Morphology (ISMM), 2007, Rio de Janeiro, Brazil. pp.239-250 |
Des grumeaux dans la topologie : une introduction à la notion d'ensemble simpleJournées du Groupe de Travail en Géométrie Discrète (GT GeoDis), 2007, Saint-Dié-des-Vosges, France |
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Gray-level hit-or-miss transform based region-growing for automatic segmentation of 3D coronary arteriesInternational Symposium on Mathematical Morphology (ISMM), 2007, Rio de Janeiro, Brazil. pp.23-24 |
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Topologically-based segmentation of brain structures from T1 MRIInternational Symposium on Mathematical Morphology (ISMM), 2007, Rio de Janeiro, France. pp.33-34 |
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Topological monsters in Z^3: A non-exhaustive bestiaryInternational Symposium on Mathematical Morphology (ISMM), 2007, Rio de Janeiro, France. pp.11-12 |
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Automatic anatomical segmentation of the liver by separation planesMedical Imaging, 2006, San Diego, CA, United States. pp.298-309, ⟨10.1117/12.649747⟩ |
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Using multimodal MR data for segmentation and topology recovery of the cerebral superficial venous treeInternational Symposium on Visual Computing (ISVC), 2005, Lake Tahoe, United States. pp.60-67, ⟨10.1007/11595755_8⟩ |
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Cerebral vascular atlas generation for anatomical knowledge modeling and segmentation purposeComputer Vision and Pattern Recognition (CVPR), 2005, San Diego, United States. pp.331-337, ⟨10.1109/CVPR.2005.97⟩ |
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Automatic parameterization of grey-level hit-or-miss operators for brain vessel segmentationInternational Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2005, Philadelphia, United States. pp.737-740, ⟨10.1109/ICASSP.2005.1415510⟩ |
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Using watershed and multimodal data for vessel segmentation: Application to the superior sagittal sinusInternational Symposium on Mathematical Morphology (ISMM), 2005, Paris, France. pp.419-428, ⟨10.1007/1-4020-3443-1_38⟩ |
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Thickness estimation of discrete tree-like tubular objects: Application to vessel quantificationScandinavian Conference on Image Analysis (SCIA), 2005, Joensuu, Finland. pp.263-271, ⟨10.1007/11499145_28⟩ |
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Atlas-based method for segmentation of cerebral vascular trees from phase-contrast magnetic resonance angiographyMedical Imaging, 2004, San Diego, United States. pp.420-431, ⟨10.1117/12.533424⟩ |
Segmentation en EEG néotanal — Apprentissage sur des représentations temps-fréquenceColloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM), 2026, Lyon, France |
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Adaptation de domaine pour la segmentation biomédicale à l’ère des modèles de fondationColloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM), Mar 2026, Lyon, France |
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Analysis of Early Brain Development via Longitudinal MRI Registration Using Stationary Velocity FieldsColloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM), 2026, Lyon, France |
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Radiomic analysis of pathologically confirmed mandibular osteoradionecrosis to identify cases with associated recurrence: a multicentric retrospective studyEuropean Society for Radiotherapy & Oncology Congress (ESTRO), 2026, Stockholm, Sweden |
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Synchrotron imaging of full mouse aortas – Acquisition, volume stitching, and analysisColloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM), 2026, Lyon, France |
A real-world patient MR Angiography (MRA) Database for Brain Vasculature Segmentation and Modelling in Predictive Simulation for the Planning of Interventional Neuroradiology procedures (PreSPIN)Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM), 2026, Lyon, France |
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Multi-label neonatal EEG segmentation enriched with semi-synthetic dataColloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM), Mar 2025, Nice, France |
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Estimation des déformations longitudinales cérébrales basée sur un champ de vélocité stationnaireColloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM), 2025, Nice, France |
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Machine learning prediction of secondary recurrence in head and neck cancer after reirradiation using a weighted average model on Pre-reRT PET imagingEuropean Society for Radiotherapy & Oncology Congress (ESTRO), 2025, Vienna, Austria. Radiotherapy & Oncology, 206 (Supplement 1), pp.S963-S965, 2025 |
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Vers un apprentissage non supervisé performant, le cas de la segmentation d’images biomédicalesColloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM), Mar 2025, Nice, France |
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ccDice : un score de Dice topologique basé sur les composantes connexesColloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM), 2025, Nice, France |
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Implementation of artificial intelligence for the diagnosis of intrahepatic ductular lesionsEuropean Congress on Digital Pathology (ECDP), 2025, Barcelone, Spain |
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SegSRGAN multilabel – Parcellisation et morphométrie cérébrale des nouveau-nés prématurés en IRMConférence sur le développement cérébral périnatal (NeoBrain 3), 2025, Amiens, France |
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Evaluation and modelling of vascular microstructures evolution during normal and pathological aging using synchrotron X-ray three-dimensional microtomographyCongrès de la section 28 "Pharmacologie, Ingénierie et technologie pour la santé, Imagerie biomédicale" du Comité National de la Recherche Scientifique, 2025, Reims, France |
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SegSRGAN multilabel – Parcellisation et morphométrie cérébrale des nouveau-nés prématurés en IRMColloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM), Mar 2024, Grenoble, France |
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Apprentissage semi-supervisé pour la segmentation du réseau vasculaire cérébral : une étude comparativeColloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM), Mar 2024, Grenoble, France |
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A pipeline from MRI 4D Flow sequence to numerical simulationEuropean Society for Magnetic Resonance in Medicine and Biology Annual Scientific Meeting (ESMRMB), Oct 2024, Barcelona, Spain |
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L'arbre des coupes multi-échelles pour une meilleure représentation dans l'imagerie immunohistochimique multiplexColloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM), Mar 2024, Grenoble, France |
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Hierarchical analysis of 3D X-ray CT images for granular materialsConference Geometry & Computing, Oct 2024, Luminy, France |
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New algorithms for multivalued component treesReconnaissance des Formes, Image, Apprentissage et Perception (RFIAP), 2024, Lille, France. |
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Étude comparative de classifieurs en apprentissage profond pour le diagnostic des lésions ductulaires intra-hépatiquesColloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM), 2024, Grenoble, France |
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How to modify the tree of shapes of an image: Connected operators without gradient inversionInternational Conference on Discrete Geometry and Mathematical Morphology (DGMM), Apr 2024, Florence, Italy |
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L'hypothèse du décalage de covariable à la rencontre des modèles de diffusion pour l'adaptation de domaine non superviséeColloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM), Mar 2024, Grenoble, France |
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A pipeline from MRI 4D Flow sequence to numerical simulationJournée Rémoise des Jeunes Chercheurs en Santé (JRJCS), Oct 2024, Reims, France |
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U-Net en cascade utilisant une fonction de perte topologique pour la segmentation du réseau vasculaire cérébralColloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM), 2023, Paris, France |
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Annotation d’électroencéphalogrammes (EEG) néonataux pour l’apprentissage superviséJournée Scientifique autour de l’IA (JSIA), Feb 2023, Nancy, France |
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Segmentation and characterization of the aorta and supra-aortic trunks for neuroradiology procedure planningColloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM), Mar 2023, Paris, France. |
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Mouse arterial wall imaging and analysis from synchrotron X-ray microtomographySOLEIL Users' Meeting (SUM), Jan 2023, Saint-Aubin, France. |
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Annotation d'électroencéphalogrammes néonataux pour l'apprentissage superviséColloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM), 2023, Paris, France |
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Imagerie et analyse des parois d’artères par micro-tomographie aux rayons X synchrotronColloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM), Mar 2023, Paris, France. |
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Structural imaging and characterization of the arterial wall and its perivascular adipose tissue17th SOLEIL Users' Meeting (SUM 2023), Jan 2023, Saint-Aubin, France. |
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Étude volumétrique des régions cérébrales de nouveau-nés prématurésJournée Scientifique autour de l’IA (JSIA), Feb 2023, Nancy, France |
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Mouse arterial wall imaging and analysis from synchrotron X-ray microtomographyJournée Scientifique autour de l’IA (JSIA), Feb 2023, Nancy, France. |
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Étude volumétrique des régions cérébrales de nouveau-nés prématurésIABM 2023 - Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale, 2023, Paris, France |
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A new 3D Slicer plug-in for the interactive annotation and segmentation of liver anatomyEASL Liver Cancer Summit (LCS), 2022, En ligne, France |
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Réseau de neurones multitâche centré sur la topologie pour la segmentation du réseau vasculaire cérébralJournée Rémoise des Jeunes Chercheurs en Santé (JRJCS), Oct 2022, Reims, France |
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Apprentissage profond pour la segmentation, la classification et la caractérisation géométrique de crosses aortiquesJournée Rémoise des Jeunes Chercheurs en Santé (JRJCS), 2021, Reims, France |
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Qualitative and quantitative analysis of cerebral MRI at term corrected in children born before 32 weeks of gestationPediatric Academic Societies Meeting (PAS), 2019, Baltimore, United States |
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Segmentation du cervelet à partir d'IRM de nouveau-nés prématurésJournée des Jeunes Chercheurs - SFR CAP-Santé, 2018, Reims, France |
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Vélocimétrie par doppler Ultrafast® de la vascularisation cérébrale des nouveau-nés grands prématurés en période néonataleCongrès de la Société Française de Neurologie Pédiatrique, 2018, Bordeaux, France |
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IRM de flux chez le singe marmouset. Traitement d'images pour la modélisation des écoulements et des interactions fluides-structures dans le cerveauJournée de restitution Infiniti 2018, 2018, Paris, France |
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Segmentation multi-images et multicritères par arbres de coupesJournée des Jeunes Chercheurs - SFR CAP-Santé, 2017, Reims, France |
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Construction d’arbres binaires de partitions multi-critères pour la segmentation d’imagesJournées du GdR MADICS, 2016, Paris, France. 2016 |
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Approches hiérarchiques et gestion de l’incertitude pour l’analyse d’images de télédétectionFouille Collaborative Incrémentale de Masses de Données Multisources Multitemporelle : Application en Sciences de l’Environnement, 2016, Strasbourg, France. 2016 |
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Shape‐based analysis on component‐graphs for multivalued image processingFolle Journée de l’Imagerie Nantaise, 2016, Nantes, France |
Automated detection of landslides with a hierarchical multi-resolution image analysis approachEGU General Assembly, 2015, Wien, Austria. 2015 |
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Méthodes variationnelles pour la segmentation d'images médicalesJournée des Jeunes Chercheurs - SFR CAP-Santé, 2015, Reims, France. 2015 |
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Génération de modèles vasculaires complexes pour la simulation d'écoulements sanguinsJournée des Jeunes Chercheurs - SFR CAP-Santé, 2014, Amiens, France. 2014 |
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Modélisation de l'écoulement sanguin dans des réseaux vasculaires complexesJournée de l'école doctorale MSII, Université de Strasbourg, 2013, Strasbourg, France. 2013 |
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Early alterations of diabetic mouse aortas revealed by X-ray micro-CTSynchrotron SOLEIL Highlights 2022, , pp.18-19, 2023 |
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L’imagerie cérébrale néonataleLe corps en images. Les nouvelles technologies d'imagerie pour la santé, pp.146-159, 2022, 978-2-271-14330-3 |
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Angiographic image analysisMedical Image Processing: Techniques and Applications, pp.115-144, 2011, ⟨10.1007/978-1-4419-9779-1_6⟩ |
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Segmentation d'images angiographiques 3DMorphologie mathématique Tome 2 : estimation, choix et mise en œuvre, pp.199-206, 2010 |
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3D angiographic image segmentationMathematical Morphology: From Theory to Applications, pp.375-383, 2010 |
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Mon cerveau ce réseauVoir l'invisible, pp.114-115, 2007 |
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Editorial — Virtual Special Issue: “Hierarchical Representations: New Results and Challenges for Image Analysis”Pattern Recognition Letters, 138, pp.201-203, 2020, Pattern Recognition Letters, ⟨10.1016/j.patrec.2020.07.019⟩ |
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Mathematical Morphology and Its Applications to Signal and Image ProcessingSpringer Nature Switzerland AG, 11564, 2019, Lecture Notes in Computer Science, 978-3-030-20866-0. ⟨10.1007/978-3-030-20867-7⟩ |
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Reims Image 2014 - Tome 4 - GeoDis2014 |
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Approches discrètes pour l'analyse d'imagesTraitement des images [eess.IV]. Université de Strasbourg, 2011 |
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Contribution à la segmentation des réseaux vasculaires cérébraux obtenus en IRM. Intégration de connaissance anatomique pour le guidage d'outils de morphologie mathématiqueTraitement des images [eess.IV]. Université Strasbourg 1, 2005. Français. ⟨NNT : ⟩ |