Cédric Wemmert
Présentation
Publications
Publications
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Transfert de coloration assisté par MALDI-MSI : proposition d'une approche multimodale pour l'analyse histopathologiqueORASIS 2025, ISEN Yncréa Ouest, Jun 2025, Le Croisic, France |
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Automated Coding of French Emergency Calls Using BERTIEEE International Symposium on Computer-Based Medical Systems (CBMS), Jun 2025, Madrid, Spain. pp.220-225, ⟨10.1109/CBMS65348.2025.00053⟩ |
Hybrid ontology-based Constraint Satisfaction for object recognition in high-resolution satellite image25ème conférence Extraction et Gestion des Connaissances (EGC), Jan 2025, Strasbourg, France |
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Deep Neural Network Architectures for Advanced Hiking Map GenerationInternational Conference on Pattern Recognition Applications and Methods (ICPRAM), Feb 2025, Porto, Portugal. pp.531-541, ⟨10.5220/0013351700003905⟩ |
Ontology-Guided Prompting for Reasoning in Multimodal Vision-Language ModelsWorkshop on Multimodal Knowledge and Language Modeling at IJCAI, Aug 2025, Montréal (Québec), Canada |
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Explaining LSTM neural networks: A DEVS-based approachInternational Multidisciplinary Modeling and Simulation Multiconference, Tenerife, Spain, septembre 2024, Sep 2024, Tenerife, Spain |
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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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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⟩ |
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Comparison of deep learning architectures for colon cancer mutation detectionIEEE International Symposium on Computer Based Medical Systems (CBMS), Jun 2023, L'Aquila, Italy. ⟨10.1109/CBMS58004.2023.00244⟩ |
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Une approche multi-grilles pour la génération automatique d'une carte de sentiers de randonnée à partir de données GPSORASIS 2023, Laboratoire LIS, UMR 7020, May 2023, Carqueiranne, France |
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Comparaison des architectures d'apprentissage profond pour la détection des mutations du cancer du côlonORASIS 2023 : journées francophones des jeunes chercheurs en vision par ordinateur,, May 2023, Carqueiranne, France |
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Comparaison des architectures d'apprentissage profond pour la détection des mutations du cancer du côlonORASIS 2023, Laboratoire LIS, UMR 7020, May 2023, Carqueiranne, France |
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Conditional image synthesis for improved segmentation of glomeruli in renal histopathological imagesIEEE-EMBS International Conference on Biomedical and Health Informatics, Sept. 27-30 2022, Ioannina, Greece, Sep 2022, Ioannina, Greece. ⟨10.1109/BHI56158.2022.9926880⟩ |
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Méthodes de classification du cancer du sein pour les microscopes à réalité augmentéeRFIAP 2022 (Congrès Reconnaissance des Formes, Image, Apprentissage et Perception), Jul 2022, Vannes, France |
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Ensemble clustering for histopathological images segmentation using convolutional autoencodersInternational Conference on Computer Vision Theory and Applications (VISAPP), Feb 2022, En ligne, France. pp.933-940, ⟨10.5220/0010835300003124⟩ |
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Détection en temps réel des glomérules en pathologie rénaleORASIS 2021, Centre National de la Recherche Scientifique [CNRS], Sep 2021, Saint Ferréol, France |
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Self Adversarial Attack as an Augmentation Method for Immunohistochemical StainingsIEEE International Symposium on Biomedical Imaging, 2021, En ligne, France. ⟨10.1109/ISBI48211.2021.9433838⟩ |
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Segmentation non-supervisée d'images histopathologiques à l'aide d'auto-encodeurs et d'ensemble clusteringAtelier Apprentissage profond: Théorie et Applications (APTA), Journées Francophones Extraction et Gestion des Connaissances (EGC), Jan 2021, Montpellier, France |
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Real-Time Detection of Glomeruli in Renal PathologyIEEE International Symposium on Computer-Based Medical Systems (CBMS), Jul 2020, Rochester (on line), United States. pp.350-355, ⟨10.1109/cbms49503.2020.00072⟩ |
GAN-based data augmentation for histopathological image segmentationAtelier Extraction et Gestion des Connaissances (EGC) - Apprentissage Profond: Théorie et Applications (APTA), Jan 2020, Bruxelles, Belgium |
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Strategies for Training Stain Invariant CNNSIEEE International Symposium on Biomedical Imaging (ISBI), Apr 2019, Venise, Italy. pp.905-909, ⟨10.1109/ISBI.2019.8759266⟩ |
Model-based graph segmentation in 2-D fluorescence microsecopy images2018 24th International Conference on Pattern Recognition (ICPR), Aug 2018, Beijing, France. pp.3844-3849, ⟨10.1109/ICPR.2018.8546011⟩ |
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Learn and Participate: Crowdsourcing of Image Annotation Supports Interactive Teaching in Histopathology and Involves Medical Students in Systems Medicine ResearchConference of the European Association of Systems Medicine: Big Data - Transition to Practice, Utrecht, Netherlands, janvier 2018, Jan 2018, Utrecht, Netherlands |
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Role of Task Complexity and Training in Crowdsourced Image AnnotationMICCAI Workshop on Computational Pathology, Sep 2018, Grenade, Spain. pp.44-51, ⟨10.1007/978-3-030-00949-6_6⟩ |
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Detection of glomeruli in renal pathology by mutual comparison of multiple staining modalitiesInternational Symposium on Image and Signal Processing and Analysis (ISPA), Sep 2017, Ljubljana, Slovenia. pp.19-24, ⟨10.1109/ispa.2017.8073562⟩ |
Optimal cut in minimum spanning trees for 3-D cell nuclei segmentation2017 10th International Symposium on Image and Signal Processing and Analysis (ISPA), Sep 2017, Ljubljana, France. pp.195-199, ⟨10.1109/ISPA.2017.8073594⟩ |
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Clustering collaboratif : Principes et mise en oeuvreBDA (Gestion de Données - Principes, Technologies et Applications), Nov 2017, Nancy, France |
Efficient Region-based Classification for Whole Slide ImagesInternational Joint Conference on Computer Vision, Imaging and Computer Graphics, 5-8 january 2017, Lisbon, Portugal, Jan 2014, Lisbonne, Portugal. pp.239-256, ⟨10.1007/978-3-319-25117-2_15⟩ |
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Synthesizing whole slide imagesInternational Symposium on Image and Signal Processing and Analysis (ISPA), Sep 2015, Zagreb, France. pp.154-159, ⟨10.1109/ispa.2015.7306050⟩ |
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Fast segmentation for texture-based cartography of whole slide imagesInternational Conference on Computer Vision Theory and Applications (VISAPP), Jan 2014, Lisbon, Portugal. pp.309-319, ⟨10.5220/0004687403090319⟩ |
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A Fuzzy-Rule Based Ontology for Urban Object RecognitionKEOD 2014 (Knowledge Engineering and Ontology Devlopment), Oct 2014, Rome, Italy. pp.153-160, ⟨10.5220/0005026601530160⟩ |
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Stain unmixing in brightfield multiplexed immunohistochemistryIEEE International Conference on Image Processing (ICIP), Sep 2013, Melbourne, Australia. pp.1125-1129, ⟨10.1109/icip.2013.6738232⟩ |
Approche orientée objet sémantique et coopérative pour la classification des images de zones urbaines à très haute résolutionEGC 2013, 2013, Toulouse, France |
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Towards a semi-automatic semantic approach to satellite images analysisKES 2013 - 17th International Conference in Knowledge Based and Intelligent Information and Engineering Sy, 2013, Kitakyushu, Japan. pp.1388--1397, ⟨10.1016/j.procs.2013.11.057⟩ |
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Learning fuzzy rules to characterize objects of interest from remote sensing imagesIEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2013, Melbourne, France. ⟨10.1109/IGARSS.2013.6723453⟩ |
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Background Knowledge Integration in Clustering Using Purity IndexesInternational Conference on Knowledge Science, Engineering and Management (KSEM), Sep 2010, Belfast, United Kingdom. pp.28 - 38, ⟨10.1007/978-3-642-15280-1_6⟩ |
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Towards conflict resolution in collaborative clusteringIEEE International Conference Intelligent Systems (IS), Jul 2010, London, United Kingdom. pp.361-366, ⟨10.1109/is.2010.5548343⟩ |
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Mining spectral libraries to study sensors' discrimination abilitySPIE Europe Remote Sensing, Aug 2009, Berlin, Germany. ⟨10.1117/12.830392⟩ |
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An Evolutionary Approach for Ontology Driven Image InterpretationEuropean Workshop on Evolutionary Computation in Image Analysis and Signal Processing, Jun 2008, Naples, Italy. pp.295-305, ⟨10.1007/978-3-540-78761-7_30⟩ |
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On Combining Unsupervised Classification and Ontology KnowledgeIEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2008, Boston, United States. ⟨10.1109/igarss.2008.4779741⟩ |
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Extraction de détecteurs d'objets urbains à partir d'une ontologieJournées Francophones Extraction et Gestion des Connaissances (EGC) Atelier Extraction de COnnaissance à partir d'Images (ECOI),, 2008, Sophia Antipolis, France |
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Ontology-based Object Recognition for Remote Sensing Image InterpretationIEEE International Conference on Tools with Artificial Intelligence (ICTAI), Oct 2007, Patras, Greece. pp.472-479, ⟨10.1109/ICTAI.2007.111⟩ |
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Segmentation par ligne de partage des eaux basée sur des connaissances texturalesColloque GRETSI sur le Traitement du Signal et des Images, 2007, Troyes, France |
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On machine learning in watershed segmentationIEEE International Workshop on Machine Learning in Signal Processing (MLSP), 2007, Greece. pp.187-192, ⟨10.1109/MLSP.2007.4414304⟩ |
Paramétrisation de méthodes de segmentation par utilisation de connaissances et approche génétiqueAtelier Extraction de COnnaissance à partir d'Images (ECOI), Journées Francophones Extraction et Gestion des Connaissances (EGC), 2007, Belgique |
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On the Complementarity of an Ontology and a Nearest Neighbour Classifier for Remotely Sensed Image InterpretationInternational Geoscience and Remote Sensing Symposium (IGARSS 2007), 2007, Barcelona, Spain. pp.3983 - 3986, ⟨10.1109/IGARSS.2007.4423093⟩ |
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Watershed Segmentation of Remotely Sensed Images Based on a Supervised Fuzzy Pixel ClassificationIEEE International Geosciences And Remote Sensing Symposium (IGARSS), 2006, United States. pp.3712-3715, ⟨10.1109/IGARSS.2006.951⟩ |
Apport d'une classification non supervisée floue à la segmentation par ligne de partage des eauxColloque International de Géomatique et d'Analyse Spatiale (SAGEO), 2006, France |
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Deriving Classification Rules from Multiple Remotely Sensed Data with Data Mining.1st Workshop of the EARSeL Special Interest Group on Urban Remote Sensing,, Mar 2006, Berlin, Germany. 9 p |
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A multi-view voting method to combine unsupervised classifications2nd IASTED International Conference on Artificial Intelligence and Applications, 2002, Malaga, Spain. pp.447-452 |
Software and seminar format to jointly teach computational pathology in biomedical and computational academic curriculaEuropean Congress on Digital Pathology, Jun 2025, Barcelone, Spain. 2025 |
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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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Deep Learning for Histopathological Image AnalysisMourad Elloumi. Deep Learning for Biomedical Data Analysis. Techniques, Approaches, and Applications, Springer, pp.153-169, 2021, 978-3-030-71675-2. ⟨10.1007/978-3-030-71676-9_7⟩ |
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8ème édition de l'atelier "Fouille de données complexes" : complexité liée aux données multiples2011, 146p |
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An automatic framework to study the tissue micro-environment of renal glomeruli in differently stained consecutive digital whole slide images2020 |