Cédric Wemmert

Documents

Présentation

Publications

	Modeling NO2 concentrations in real urban areas using computational fluid dynamics: A comparative analysis of methods to assess NO2 concentrations from NOx dispersion results Nicolas Reiminger , Xavier Jurado , Loïc Maurer , José Vazquez , Cédric Wemmert Sustainable Cities and Society, 2024, in press, ⟨10.1016/j.scs.2024.105286⟩ Article dans une revue hal-04471929v1
	Influence of depressed road configuration on downwind pollutant concentrations: A CFD study under various thermal stability conditions Nicolas Reiminger , Xavier Jurado , Loïc Maurer , José Vazquez , Cédric Wemmert Journal of Wind Engineering and Industrial Aerodynamics, 2023, 235, pp.105361. ⟨10.1016/j.jweia.2023.105361⟩ Article dans une revue hal-04012575v1
	On the Correlations between Particulate Matter: Comparison between Annual/Monthly Concentrations and PM10/PM2.5 Xavier Jurado , Nicolas Reiminger , Loïc Maurer , José Vazquez , Cédric Wemmert Atmosphere, 2023, 14 (2), ⟨10.3390/atmos14020385⟩ Article dans une revue hal-03998101v1
	HistoStarGAN: A Unified Approach to Stain Normalisation, Stain Transfer and Stain Invariant Segmentation in Renal Histopathology Jelica Vasiljevic , Friedrich Feuerhake , Cédric Wemmert , Thomas Lampert Knowledge-Based Systems, 2023, 277, ⟨10.1016/j.knosys.2023.110780⟩ Article dans une revue hal-04169986v1
	Validation of wastewater data using artificial intelligence tools and the evaluation of their performance regarding annotator agreement Imane Zidaoui , Cédric Wemmert , Matthieu Dufresne , Claude Joannis , Sandra Isel Water Science and Technology, inPress, 87 (12), ⟨10.2166/wst.2023.174⟩ Article dans une revue hal-04116074v1
	Assessment of a Deep Learning Model for Monitoring Atmospheric Pollution: Case Study in Antwerp, Belgium Xavier Jurado , Nicolas Reiminger , Loïc Maurer , José Vazquez , Cédric Wemmert Sustainable Cities and Society, 2023, 99, ⟨10.1016/j.scs.2023.104951⟩ Article dans une revue hal-04217618v1
	Utilisation de l’intelligence artificielle pour la validation des mesures en continu de la pollution des eaux usées Imane Zidaoui , Claude Joannis , Jonathan Wertel , Sandra Isel , Cédric Wemmert TSM. Techniques Sciences Méthodes – Génie urbain, génie rural, 2022, 11, pp.39-51. ⟨10.36904/tsm/202211039⟩ Article dans une revue hal-04463350v1
	Weakly Supervised Learning using Attention gates for colon cancer histopathological image segmentation Amina Ben Hamida , Maxime Devanne , Jonathan Weber , Caroline Truntzer , Valentin Derangère Artificial Intelligence in Medicine, 2022, ⟨10.1016/j.artmed.2022.102407⟩ Article dans une revue hal-03797652v1
	Deep Learning methods evaluation to predict air quality based on computational fluid dynamics Xavier Jurado , Nicolas Reiminger , Marouane Benmoussa , José Vazquez , Cédric Wemmert Expert Systems with Applications, 2022, 203, ⟨10.1016/j.eswa.2022.117294⟩ Article dans une revue hal-03736929v1
	Data augmentation based on spatial deformations for histopathology: An evaluation in the context of glomeruli segmentation Florian Allender , Rémi Allègre , Cédric Wemmert , Jean-Michel Dischler Computer Methods and Programs in Biomedicine, 2022, 221, ⟨10.1016/j.cmpb.2022.106919⟩ Article dans une revue hal-03736936v1
	CycleGAN for virtual stain transfer: is seeing really believing? Jelica Vasiljevic , Zeeshan Nisar , Friedrich Feuerhake , Cédric Wemmert , Thomas Lampert Artificial Intelligence in Medicine, 2022, 133, pp.102420. ⟨10.1016/j.artmed.2022.102420⟩ Article dans une revue hal-03799506v1
	Towards Histopathological Stain Invariance by Unsupervised Domain Augmentation using Generative Adversarial Networks Jelica Vasiljevic , Friedrich Feuerhake , Cédric Wemmert , Thomas Lampert Neurocomputing, 2021, 460, pp.277-291. ⟨10.1016/j.neucom.2021.07.005⟩ Article dans une revue hal-03321037v1
	On the minimal wind directions required to assess mean annual air pollution concentration based on CFD results Xavier Jurado , Nicolas Reiminger , José Vazquez , Cédric Wemmert Sustainable Cities and Society, 2021, 71, ⟨10.1016/j.scs.2021.102920⟩ Article dans une revue hal-03243967v1
	Deep learning for colon cancer histopathological images analysis Amina Ben Hamida , Maxime Devanne , Jonathan Weber , Caroline Truntzer , Valentin Derangère Computers in Biology and Medicine, 2021, ⟨10.1016/j.compbiomed.2021.104730⟩ Article dans une revue hal-03321646v1
	Methodologies to assess mean annual air pollution concentration combining numerical results and wind roses Nicolas Reiminger , Xavier Jurado , José Vazquez , Cédric Wemmert , Nadège Blond Sustainable Cities and Society, 2020, 59, pp.102221. ⟨10.1016/j.scs.2020.102221⟩ Article dans une revue hal-03051698v1
	Intelligence artificielle et analyse d’images histologiques : Opportunités et challenges Cédric Wemmert , Jonathan Weber , Germain Forestier Revue Française d'Histotechnologie, 2020, 32 (1), pp.213-238. ⟨10.25830/afh.rfh.2020.32.213.238⟩ Article dans une revue hal-03979724v1
	Assessment of mean annual NO2 concentration based on a partial dataset Xavier Jurado , Nicolas Reiminger , José Vazquez , Cédric Wemmert , Matthieu Dufresne Atmospheric Environment, 2020, 221, pp.117087. ⟨10.1016/j.atmosenv.2019.117087⟩ Article dans une revue hal-02398708v1
	Effects of wind speed and atmospheric stability on the air pollution reduction rate induced by noise barriers Nicolas Reiminger , Xavier Jurado , José Vazquez , Cédric Wemmert , Nadège Blond Journal of Wind Engineering and Industrial Aerodynamics, 2020, 200, pp.104160. ⟨10.1016/j.jweia.2020.104160⟩ Article dans une revue hal-03041494v2
	Crowdsourcing of Histological Image Labeling and Object Delineation by Medical Students Anne Grote , Nadine S Schaadt , Germain Forestier , Friedrich Feuerhake , Cédric Wemmert IEEE Transactions on Medical Imaging, 2019, 38 (5), pp.1284-1294. ⟨10.1109/TMI.2018.2883237⟩ Article dans une revue hal-02299285v1
	Deconstructing the diagnostic reasoning of human versus artificial intelligence Thierry Pelaccia , Germain Forestier , Cédric Wemmert CMAJ, 2019, 191 (48), pp.E1332-E1335. ⟨10.1503/cmaj.190506⟩ Article dans une revue hal-02632899v1
	Collaborative Clustering: Why, When, What and How Antoine Cornuéjols , Cédric Wemmert , Pierre Gançarski , Younès Bennani Information Fusion, 2018, 39, pp.81-95. ⟨10.1016/j.inffus.2017.04.008⟩ Article dans une revue hal-02327993v1
	Image analysis of immune cell patterns in the human mammary gland during the menstrual cycle refines lymphocytic lobulitis Nadine S. Schaadt , Juan Carlos López Alfonso , Ralf Schönmeyer , Anne Grote , Germain Forestier Breast Cancer Research and Treatment, 2017, 164 (2), pp.305 - 315. ⟨10.1007/s10549-017-4239-z⟩ Article dans une revue hal-01875860v1
	Detection of lobular structures in normal breast tissue Grégory Apou , Nadine S. Schaadt , Benoît Naegel , Germain Forestier , Ralf Schönmeyer Computers in Biology and Medicine, 2016, 74, pp.91-102. ⟨10.1016/j.compbiomed.2016.05.004⟩ Article dans une revue hal-01321053v1
	Semi-supervised learning using multiple clusterings with limited labeled data Germain Forestier , Cédric Wemmert Information Sciences, 2016, 361–362, pp.48-65. ⟨10.1016/j.ins.2016.04.040⟩ Article dans une revue hal-01355189v2
	In-silico insights on the prognostic potential of immune cell infiltration patterns in the breast lobular epithelium Juan Carlos López Alfonso , Nadine S Schaadt , Ralf Schönmeyer , Nicolas Brieu , Germain Forestier Scientific Reports, 2016, 6 (1), ⟨10.1038/srep33322⟩ Article dans une revue hal-01878620v1
	Combat or surveillance? Juliane Krüger , Cédric Wemmert , Ludovic Sternberger , Christel Bonnas , Gabriele Dietmann The Journal of Pathology, 2013, 229 (4), pp.569-578. ⟨10.1002/path.4150⟩ Article dans une revue hal-03135392v1
	Comparison of optical sensors discrimination ability using spectral libraries Germain Forestier , Jordi Inglada , Cédric Wemmert , Pierre Gancarski International Journal of Remote Sensing, 2013, 34 (7), pp.2327 - 2349. ⟨10.1080/01431161.2012.744488⟩ Article dans une revue hal-01875856v1
	Coastal image interpretation using background knowledge and semantics Germain Forestier , Cédric Wemmert , Anne Puissant Computers & Geosciences, 2013, 54, pp.88 - 96. ⟨10.1016/j.cageo.2012.11.023⟩ Article dans une revue hal-01875858v1
	Knowledge-based region labeling for remote sensing image interpretation Germain Forestier , Anne Puissant , Cédric Wemmert , Pierre Gançarski Computers, Environment and Urban Systems, 2012, 36 (5), pp.470 - 480. ⟨10.1016/j.compenvurbsys.2012.01.003⟩ Article dans une revue hal-01875854v1
	Supervised image segmentation using watershed transform, fuzzy classification and evolutionary computation Sébastien Derivaux , Germain Forestier , Cédric Wemmert , Sébastien Lefèvre Pattern Recognition Letters, 2010, 31 (15), pp.2364-2374. ⟨10.1016/j.patrec.2010.07.007⟩ Article dans une revue hal-00512749v2
	Collaborative clustering with background knowledge Germain Forestier , Pierre Gançarski , Cédric Wemmert Data and Knowledge Engineering, 2010, 69 (2), pp.211 - 228. ⟨10.1016/j.datak.2009.10.004⟩ Article dans une revue hal-01875853v1
	Multiresolution remote sensing image clustering Cédric Wemmert , Anne Puissant , Germain Forestier , Pierre Gancarski IEEE Geoscience and Remote Sensing Letters, 2009, 6 (3), pp.533-537. ⟨10.1109/LGRS.2009.2020825⟩ Article dans une revue halshs-00520632v1
	Multisource Images Analysis Using Collaborative Clustering Germain Forestier , Cédric Wemmert , Pierre Gancarski EURASIP Journal on Advances in Signal Processing, 2008, 2008 (1), ⟨10.1155/2008/374095⟩ Article dans une revue hal-01878610v1
	Collaborative multi-step mono-level multi-strategy classification Pierre Gançarski , Cédric Wemmert Multimedia Tools and Applications, 2007, 35 (1), pp.1-27 Article dans une revue hal-03135400v1

	Multi-scale component trees for enhanced representation in multiplex immunohistochemistry imaging Romain Perrin , Aurélie Leborgne , Nicolas Passat , Benoît Naegel , Cédric Wemmert International Symposium on Biomedical Imaging (ISBI), 2024, Athène, Greece Communication dans un congrès hal-04450142v1
	Multi-scale component-tree: A hierarchical representation of sparse objects Romain Perrin , Aurélie Leborgne , Nicolas Passat , Benoît Naegel , Cédric Wemmert International Conference on Discrete Geometry and Mathematical Morphology (DGMM), Apr 2024, Florence, Italy. pp.312-324, ⟨10.1007/978-3-031-57793-2_24⟩ Communication dans un congrès hal-04363690v1
	Multi-Scale Component-Tree: An Hierarchical Representation of Sparse Objects Romain Perrin , Aurelie Leborgne , Nicolas Passat , Benoit Naegel , Cédric Wemmert International Conference on Discrete Geometry and Mathematical Morphology (DGMM), Florence, Italy, avril 2024, Apr 2024, Florence, Italy Communication dans un congrès hal-04467056v1
	Une approche multi-grilles pour la génération automatique d'une carte de sentiers de randonnée à partir de données GPS Olivier Schirm , Maxime Devanne , Jonathan Weber , Arnaud Lecus , Germain Forestier ORASIS 2023, Laboratoire LIS, UMR 7020, May 2023, Carqueiranne, France Communication dans un congrès hal-04219570v1
	Comparison of deep learning architectures for colon cancer mutation detection Robin Heckenauer , Jonathan Weber , Cédric Wemmert , Caroline Truntzer , Valentin Derangère IEEE 36th International Symposium on Computer Based Medical Systems (CBMS 2023), Jun 2023, L'Aquila, Italy. ⟨10.1109/CBMS58004.2023.00244⟩ Communication dans un congrès hal-04168891v1
	Ensemble clustering for histopathological images segmentation using convolutional autoencoders Ilias Rmouque , Jonathan Weber , Maxime Devanne , Germain Forestier , Cédric Wemmert International Conference on Computer Vision Theory and Applications (VISAPP), Feb 2022, En ligne, France. pp.933-940, ⟨10.5220/0010835300003124⟩ Communication dans un congrès hal-03469780v1
	Méthodes de classification du cancer du sein pour les microscopes à réalité augmentée Robin Heckenauer , Jonthan Weber , Cédric Wemmert , Michel Hassenforder , Pierre-Alain Muller RFIAP 2022 (Congrès Reconnaissance des Formes, Image, Apprentissage et Perception), Jul 2022, Vannes, France Communication dans un congrès hal-03687423v1
	Conditional image synthesis for improved segmentation of glomeruli in renal histopathological images Florian Allender , Rémi Allègre , Cédric Wemmert , Jean-Michel Dischler IEEE-EMBS International Conference on Biomedical and Health Informatics, Sept. 27-30 2022, Ioannina, Greece, Sep 2022, Ioannina, Greece. ⟨10.1109/BHI56158.2022.9926880⟩ Communication dans un congrès hal-03797648v1
	Generation of synthetic training data for SEEG electrodes segmentation Anja Pantovic , Xiaoxi Ren , Cédric Wemmert , Irene Ollivier , Caroline Essert Information Processing in Computer- Assisted Interventions (IPCAI 2022), Tokyo, Japan, 2022, Tokyo, Japan. ⟨10.1007/s11548-022-02585-4⟩ Communication dans un congrès hal-03752554v1
	Segmentation non-supervisée d'images histopathologiques à l'aide d'auto-encodeurs et d'ensemble clustering Ilias Rmouque , Maxime Devanne , Jonathan Weber , Germain Forestier , Cédric Wemmert Atelier Apprentissage profond: Théorie et Applications (APTA), Journées Francophones Extraction et Gestion des Connaissances (EGC), Jan 2021, Montpellier, France Communication dans un congrès hal-03604158v1
	Détection en temps réel des glomérules en pathologie rénale Robin Heckenauer , Jonathan Weber , Cédric Wemmert , Friedrich Feuerhake , Michel Hassenforder ORASIS 2021, Centre National de la Recherche Scientifique [CNRS], Sep 2021, Saint Ferréol, France Communication dans un congrès hal-03339642v1
	Self Adversarial Attack as an Augmentation Method for Immunohistochemical Stainings Jelica Vasiljevic , Friedrich Feuerhake , Cédric Wemmert , Thomas Lampert IEEE International Symposium on Biomedical Imaging, 2021, En ligne, France. ⟨10.1109/ISBI48211.2021.9433838⟩ Communication dans un congrès hal-03321035v1
	Deep Learning associated with Computational Fluid Dynamics to predict pollution concentration fields in urban areas Xavier Jurado , Nicolas Reiminger , Marouane Benmoussa , José Vazquez , Cédric Wemmert Upper-Rhine Artificial Intelligence Symposium 2021, Oct 2021, Kaiserslautern, Germany Communication dans un congrès hal-03321653v1
	Strategies for Training Stain Invariant CNNS Thomas Lampert , Odyssée Merveille , Jessica Schmitz , Germain Forestier , Friedrich Feuerhake 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI), Apr 2019, Venise, Italy. pp.905-909, ⟨10.1109/ISBI.2019.8759266⟩ Communication dans un congrès hal-02283639v1
	Learn and Participate: Crowdsourcing of Image Annotation Supports Interactive Teaching in Histopathology and Involves Medical Students in Systems Medicine Research Anne Grote , Nadine S. Schaadt , Germain Forestier , Cédric Wemmert , Friederich Feuerhake Conference of the European Association of Systems Medicine: Big Data - Transition to Practice, Utrecht, Netherlands, janvier 2018, Jan 2018, Utrecht, Netherlands Communication dans un congrès hal-04549033v1
	Clustering collaboratif : Principes et mise en oeuvre * Pierre Gançarski , Antoine Cornuéjols , Cédric Wemmert , Younès Bennani BDA (Gestion de Données - Principes, Technologies et Applications), Nov 2017, Nancy, France Communication dans un congrès hal-04338863v1
	Efficient Region-based Classification for Whole Slide Images Grégory Apou , Benoît Naegel , Germain Forestier , Friedrich Feuerhake , Cédric Wemmert International 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⟩ Communication dans un congrès hal-03797892v1
	Fast segmentation for texture-based cartography of whole slide images Grégory Apou , Benoit Naegel , Germain Forestier , Friedrich Feuerhake , Cédric Wemmert International Conference on Computer Vision Theory and Applications (VISAPP), 05-08 January 2014, Lisbon, Portugal, Jan 2014, Lisbon, Portugal. pp.309-319, ⟨10.5220/0004687403090319⟩ Communication dans un congrès hal-04524187v1
	Learning fuzzy rules to characterize objects of interest from remote sensing images B. Belarte , C. Wemmert , G. Forestier , M. Grizonnet , C. Weber IEEE Geoscience and Remote Sensing Symposium (IGARSS), Jul 2013, Melbourne, France. ⟨10.1109/IGARSS.2013.6723453⟩ Communication dans un congrès hal-01888500v1
	Mining spectral libraries to study sensors' discrimination ability Germain Forestier , Jordi Inglada , Cédric Wemmert , Pierre Gancarski SPIE Europe Remote Sensing, Aug 2009, Berlin, Germany. ⟨10.1117/12.830392⟩ Communication dans un congrès hal-01887503v1
	Extraction de détecteurs d'objets urbains à partir d'une ontologie Sébastien Derivaux , Germain Forestier , Cédric Wemmert , Sébastien Lefèvre Journées Francophones Extraction et Gestion des Connaissances (EGC) Atelier Extraction de COnnaissance à partir d'Images (ECOI),, 2008, Sophia Antipolis, France Communication dans un congrès hal-00516099v1
	On Combining Unsupervised Classification and Ontology Knowledge Germain Forestier , Cédric Wemmert , Pierre Gancarski IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2008, Boston, United States. ⟨10.1109/igarss.2008.4779741⟩ Communication dans un congrès hal-01887351v1
	On the Complementarity of an Ontology and a Nearest Neighbour Classifier for Remotely Sensed Image Interpretation Sébastien Derivaux , Nicolas Durand , Cédric Wemmert International Geoscience and Remote Sensing Symposium (IGARSS 2007), 2007, Barcelona, Spain. pp.3983 - 3986, ⟨10.1109/IGARSS.2007.4423093⟩ Communication dans un congrès hal-01463171v1
	Ontology-based Object Recognition for Remote Sensing Image Interpretation Nicolas Durand , Sébastien Derivaux , Germain Forestier , Cédric Wemmert , Pierre Gancarski IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Oct 2007, Patras, Greece. pp.472-479, ⟨10.1109/ICTAI.2007.111⟩ Communication dans un congrès hal-01463170v2
	Paramétrisation de méthodes de segmentation par utilisation de connaissances et approche génétique Sébastien Derivaux , Sébastien Lefèvre , Cédric Wemmert , Jerzy Korczak Atelier Extraction de COnnaissance à partir d'Images (ECOI), Journées Francophones Extraction et Gestion des Connaissances (EGC), 2007, Belgique Communication dans un congrès hal-00516103v1
	On machine learning in watershed segmentation Sébastien Derivaux , Sébastien Lefèvre , Cédric Wemmert , Jerzy Korczak IEEE International Workshop on Machine Learning in Signal Processing (MLSP), 2007, Greece. pp.187-192, ⟨10.1109/MLSP.2007.4414304⟩ Communication dans un congrès hal-00516076v1
	Segmentation par ligne de partage des eaux basée sur des connaissances texturales Sébastien Derivaux , Sébastien Lefèvre , Cédric Wemmert , Jerzy Korczak Colloque GRETSI sur le Traitement du Signal et des Images, 2007, Troyes, France Communication dans un congrès hal-00516100v1
	Watershed Segmentation of Remotely Sensed Images Based on a Supervised Fuzzy Pixel Classification Sébastien Derivaux , Sébastien Lefèvre , Cédric Wemmert , Jerzy Korczak IEEE International Geosciences And Remote Sensing Symposium (IGARSS), 2006, United States. pp.3712-3715, ⟨10.1109/IGARSS.2006.951⟩ Communication dans un congrès hal-00516090v1
	Deriving Classification Rules from Multiple Remotely Sensed Data with Data Mining. David Sheeren , Anne Puissant , Chrisitane Weber , Pierre Gancarski , Cédric Wemmert 1st Workshop of the EARSeL Special Interest Group on Urban Remote Sensing,, Mar 2006, Berlin, Germany. 9 p Communication dans un congrès halshs-00201917v1
	Apport d'une classification non supervisée floue à la segmentation par ligne de partage des eaux Sébastien Derivaux , Sébastien Lefèvre , Cédric Wemmert , Jerzy Korczak Colloque International de Géomatique et d'Analyse Spatiale (SAGEO), 2006, France Communication dans un congrès hal-00516107v1
	A multi-view voting method to combine unsupervised classifications Cédric Wemmert , Pierre Gançarski 2nd IASTED International Conference on Artificial Intelligence and Applications, 2002, Malaga, Spain. pp.447-452 Communication dans un congrès hal-03135401v1

	L'arbre des coupes multi-échelles pour une meilleure représentation dans l'imagerie immunohistochimique multiplex Romain Perrin , Aurélie Leborgne , Nicolas Passat , Benoît Naegel , Cédric Wemmert Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM), Mar 2024, Grenoble, France Poster de conférence hal-04440939v1

	Deep Learning for Histopathological Image Analysis Cédric Wemmert , Jonathan Weber , Friedrich Feuerhake , Germain Forestier Mourad 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⟩ Chapitre d'ouvrage hal-03321639v1

	8ème édition de l'atelier "Fouille de données complexes" : complexité liée aux données multiples Guillaume Cleuziou , Cyril de Runz , Mustapha Lebbah , Cédric Wemmert 2011, 146p Autre publication scientifique hal-00609725v1

	An automatic framework to study the tissue micro-environment of renal glomeruli in differently stained consecutive digital whole slide images Odyssée Merveille , Thomas Lampert , Jessica Schmitz , Germain Forestier , Friedrich Feuerhake 2020 Pré-publication, Document de travail hal-02925040v1

Cédric Wemmert

Présentation

Publications

Modeling NO2 concentrations in real urban areas using computational fluid dynamics: A comparative analysis of methods to assess NO2 concentrations from NOx dispersion results

Influence of depressed road configuration on downwind pollutant concentrations: A CFD study under various thermal stability conditions

On the Correlations between Particulate Matter: Comparison between Annual/Monthly Concentrations and PM10/PM2.5

HistoStarGAN: A Unified Approach to Stain Normalisation, Stain Transfer and Stain Invariant Segmentation in Renal Histopathology

Validation of wastewater data using artificial intelligence tools and the evaluation of their performance regarding annotator agreement

Assessment of a Deep Learning Model for Monitoring Atmospheric Pollution: Case Study in Antwerp, Belgium

Utilisation de l’intelligence artificielle pour la validation des mesures en continu de la pollution des eaux usées

Weakly Supervised Learning using Attention gates for colon cancer histopathological image segmentation

Deep Learning methods evaluation to predict air quality based on computational fluid dynamics

Data augmentation based on spatial deformations for histopathology: An evaluation in the context of glomeruli segmentation

CycleGAN for virtual stain transfer: is seeing really believing?

Towards Histopathological Stain Invariance by Unsupervised Domain Augmentation using Generative Adversarial Networks

On the minimal wind directions required to assess mean annual air pollution concentration based on CFD results

Deep learning for colon cancer histopathological images analysis

Methodologies to assess mean annual air pollution concentration combining numerical results and wind roses

Intelligence artificielle et analyse d’images histologiques : Opportunités et challenges

Assessment of mean annual NO2 concentration based on a partial dataset

Effects of wind speed and atmospheric stability on the air pollution reduction rate induced by noise barriers

Crowdsourcing of Histological Image Labeling and Object Delineation by Medical Students

Deconstructing the diagnostic reasoning of human versus artificial intelligence

Collaborative Clustering: Why, When, What and How

Image analysis of immune cell patterns in the human mammary gland during the menstrual cycle refines lymphocytic lobulitis

Detection of lobular structures in normal breast tissue

Semi-supervised learning using multiple clusterings with limited labeled data

In-silico insights on the prognostic potential of immune cell infiltration patterns in the breast lobular epithelium

Combat or surveillance?

Comparison of optical sensors discrimination ability using spectral libraries

Coastal image interpretation using background knowledge and semantics

Knowledge-based region labeling for remote sensing image interpretation

Supervised image segmentation using watershed transform, fuzzy classification and evolutionary computation

Collaborative clustering with background knowledge

Multiresolution remote sensing image clustering

Multisource Images Analysis Using Collaborative Clustering

Collaborative multi-step mono-level multi-strategy classification

Multi-scale component trees for enhanced representation in multiplex immunohistochemistry imaging

Multi-scale component-tree: A hierarchical representation of sparse objects

Multi-Scale Component-Tree: An Hierarchical Representation of Sparse Objects

Une approche multi-grilles pour la génération automatique d'une carte de sentiers de randonnée à partir de données GPS

Comparison of deep learning architectures for colon cancer mutation detection

Ensemble clustering for histopathological images segmentation using convolutional autoencoders

Méthodes de classification du cancer du sein pour les microscopes à réalité augmentée

Conditional image synthesis for improved segmentation of glomeruli in renal histopathological images

Generation of synthetic training data for SEEG electrodes segmentation

Segmentation non-supervisée d'images histopathologiques à l'aide d'auto-encodeurs et d'ensemble clustering

Détection en temps réel des glomérules en pathologie rénale

Self Adversarial Attack as an Augmentation Method for Immunohistochemical Stainings

Deep Learning associated with Computational Fluid Dynamics to predict pollution concentration fields in urban areas

Strategies for Training Stain Invariant CNNS

Learn and Participate: Crowdsourcing of Image Annotation Supports Interactive Teaching in Histopathology and Involves Medical Students in Systems Medicine Research

Clustering collaboratif : Principes et mise en oeuvre *

Efficient Region-based Classification for Whole Slide Images

Fast segmentation for texture-based cartography of whole slide images

Learning fuzzy rules to characterize objects of interest from remote sensing images

Mining spectral libraries to study sensors' discrimination ability

Extraction de détecteurs d'objets urbains à partir d'une ontologie

On Combining Unsupervised Classification and Ontology Knowledge

On the Complementarity of an Ontology and a Nearest Neighbour Classifier for Remotely Sensed Image Interpretation

Ontology-based Object Recognition for Remote Sensing Image Interpretation

Paramétrisation de méthodes de segmentation par utilisation de connaissances et approche génétique

On machine learning in watershed segmentation

Segmentation par ligne de partage des eaux basée sur des connaissances texturales

Watershed Segmentation of Remotely Sensed Images Based on a Supervised Fuzzy Pixel Classification

Deriving Classification Rules from Multiple Remotely Sensed Data with DataMining.

Apport d'une classification non supervisée floue à la segmentation par ligne de partage des eaux

A multi-view voting method to combine unsupervised classifications

L'arbre des coupes multi-échelles pour une meilleure représentation dans l'imagerie immunohistochimique multiplex

Deep Learning for Histopathological Image Analysis

8ème édition de l'atelier "Fouille de données complexes" : complexité liée aux données multiples

An automatic framework to study the tissue micro-environment of renal glomeruli in differently stained consecutive digital whole slide images

Deriving Classification Rules from Multiple Remotely Sensed Data with Data
Mining.