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Cédric Wemmert
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- affiliation: University of Strasbourg, ICube, France
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2020 – today
- 2024
- [c35]Romain Perrin
, Aurélie Leborgne
Multi-scale Component-Tree: A Hierarchical Representation for Sparse Objects. DGMM 2024: 312-324 - [c34]Romain Perrin, Aurélie Leborgne, Nicolas Passat, Benoît Naegel, Cédric Wemmert:
Multi-Scale Component-Trees for Enhanced Representation in Multiplex Immunohistochemistry Imaging. ISBI 2024: 1-5 - 2023
- [j23]Jelica Vasiljevic
HistoStarGAN: A unified approach to stain normalisation, stain transfer and stain invariant segmentation in renal histopathology. Knowl. Based Syst. 277: 110780 (2023) - [c33]Robin Heckenauer, Jonathan Weber, Cédric Wemmert, Caroline Truntzer, Valentin Derangère, François Ghiringhelli, Michel Hassenforder, Pierre-Alain Muller, Germain Forestier:
Comparison of deep learning architectures for colon cancer mutation detection. CBMS 2023: 360-365 - 2022
- [j22]Amina Ben Hamida, Maxime Devanne, Jonathan Weber, Caroline Truntzer, Valentin Derangère, François Ghiringhelli, Germain Forestier, Cédric Wemmert:
Weakly Supervised Learning using Attention gates for colon cancer histopathological image segmentation. Artif. Intell. Medicine 133: 102407 (2022) - [j21]Jelica Vasiljevic
CycleGAN for virtual stain transfer: Is seeing really believing? Artif. Intell. Medicine 133: 102420 (2022) - [j20]Anja Pantovic
Generation of synthetic training data for SEEG electrodes segmentation. Int. J. Comput. Assist. Radiol. Surg. 17(5): 937-943 (2022) - [j19]Florian Allender, Rémi Allègre
Data augmentation based on spatial deformations for histopathology: An evaluation in the context of glomeruli segmentation. Comput. Methods Programs Biomed. 221: 106919 (2022) - [j18]Xavier Jurado
Deep learning methods evaluation to predict air quality based on Computational Fluid Dynamics. Expert Syst. Appl. 203: 117294 (2022) - [c32]Florian Allender, Rémi Allègre, Cédric Wemmert, Jean-Michel Dischler:
Conditional image synthesis for improved segmentation of glomeruli in renal histopathological images. BHI 2022: 1-5 - [c31]Ilias Rmouque, Maxime Devanne, Jonathan Weber, Germain Forestier, Cédric Wemmert:
Ensemble Clustering for Histopathological Images Segmentation using Convolutional Autoencoders. VISIGRAPP (4: VISAPP) 2022: 933-940 - [i5]Jelica Vasiljevic, Friedrich Feuerhake, Cédric Wemmert, Thomas Andrew Lampert:
HistoStarGAN: A Unified Approach to Stain Normalisation, Stain Transfer and Stain Invariant Segmentation in Renal Histopathology. CoRR abs/2210.09798 (2022) - 2021
- [j17]Amina Ben Hamida, Maxime Devanne, Jonathan Weber, Caroline Truntzer
Deep learning for colon cancer histopathological images analysis. Comput. Biol. Medicine 136: 104730 (2021) - [j16]Odyssée Merveille
An automatic framework for fusing information from differently stained consecutive digital whole slide images: A case study in renal histology. Comput. Methods Programs Biomed. 208: 106157 (2021) - [j15]Jelica Vasiljevic
Towards histopathological stain invariance by Unsupervised Domain Augmentation using generative adversarial networks. Neurocomputing 460: 277-291 (2021) - [c30]Jelica Vasiljevic
Self Adversarial Attack as an Augmentation Method for Immunohistochemical Stainings. ISBI 2021: 1939-1943 - [i4]Jelica Vasiljevic, Friedrich Feuerhake, Cédric Wemmert, Thomas Andrew Lampert:
Self adversarial attack as an augmentation method for immunohistochemical stainings. CoRR abs/2103.11362 (2021) - 2020
- [c29]Robin Heckenauer, Jonathan Weber, Cédric Wemmert, Friedrich Feuerhake, Michel Hassenforder, Pierre-Alain Muller, Germain Forestier
Real-Time Detection of Glomeruli in Renal Pathology. CBMS 2020: 350-355 - [i3]Odyssée Merveille, Thomas Andrew Lampert, Jessica Schmitz, Germain Forestier, Friedrich Feuerhake, Cédric Wemmert:
An automatic framework to study the tissue micro-environment of renal glomeruli in differently stained consecutive digital whole slide images. CoRR abs/2008.13050 (2020) - [i2]Jelica Vasiljevic, Friedrich Feuerhake, Cédric Wemmert, Thomas Andrew Lampert:
Towards Histopathological Stain Invariance by Unsupervised Domain Augmentation using Generative Adversarial Networks. CoRR abs/2012.12413 (2020)
2010 – 2019
- 2019
- [j14]Anne Grote, Nadine S. Schaadt
Crowdsourcing of Histological Image Labeling and Object Delineation by Medical Students. IEEE Trans. Medical Imaging 38(5): 1284-1294 (2019) - [c28]Thomas Andrew Lampert, Odyssée Merveille
Strategies for Training Stain Invariant CNNS. ISBI 2019: 905-909 - [c27]Arnaud Abreu
Ensemble Of Neural Networks For High Endothelial Venules Detection In Meca-79 Immunohistochemistry Images. ISBI 2019: 938-942 - 2018
- [j13]Antoine Cornuéjols, Cédric Wemmert, Pierre Gançarski, Younès Bennani
Collaborative clustering: Why, when, what and how. Inf. Fusion 39: 81-95 (2018) - [c26]Arnaud Abreu
Model-based graph segmentation in 2-D fluorescence microsecopy images. ICPR 2018: 3844-3849 - [c25]Nadine S. Schaadt
Role of Task Complexity and Training in Crowdsourced Image Annotation. COMPAY/OMIA@MICCAI 2018: 44-51 - [i1]Thomas Andrew Lampert, Odyssée Merveille, Jessica Schmitz, Germain Forestier, Friedrich Feuerhake, Cédric Wemmert:
Strategies for Training Stain Invariant CNNs. CoRR abs/1810.10338 (2018) - 2017
- [c24]Maja Temerinac-Ott
Detection of glomeruli in renal pathology by mutual comparison of multiple staining modalities. ISPA 2017: 19-24 - [c23]Arnaud Abreu
Optimal cut in minimum spanning trees for 3-D cell nuclei segmentation. ISPA 2017: 195-199 - 2016
- [j12]Grégory Apou, Nadine S. Schaadt
Detection of lobular structures in normal breast tissue. Comput. Biol. Medicine 74: 91-102 (2016) - [j11]Germain Forestier
Semi-supervised learning using multiple clusterings with limited labeled data. Inf. Sci. 361-362: 48-65 (2016) - 2015
- [j10]Cecilia Zanni-Merk, Stella Marc-Zwecker, Cédric Wemmert, François de Bertrand de Beuvron:
A Layered Architecture for a Fuzzy Semantic Approach for Satellite Image Analysis. Int. J. Knowl. Syst. Sci. 6(2): 31-56 (2015) - [c22]Grégory Apou, Friedrich Feuerhake, Germain Forestier
Synthesizing whole slide images. ISPA 2015: 154-159 - 2014
- [j9]Aymen Sellaouti, Atef Hamouda, Aline Deruyver, Cédric Wemmert:
Template-Based Hierarchical Building Extraction. IEEE Geosci. Remote. Sens. Lett. 11(3): 706-710 (2014) - [c21]Stella Marc-Zwecker, Khalid Asnoune, Cédric Wemmert:
A Fuzzy-Rule Based Ontology for Urban Object Recognition. KEOD 2014: 153-160 - [c20]Grégory Apou, Benoît Naegel, Germain Forestier
Efficient Region-based Classification for Whole Slide Images. VISIGRAPP (Selected Papers) 2014: 239-256 - [c19]Grégory Apou, Benoît Naegel, Germain Forestier, Friedrich Feuerhake, Cédric Wemmert:
Fast Segmentation for Texture-based Cartography of whole Slide Images. VISAPP (1) 2014: 309-319 - [p3]Bruno Belarte, Cédric Wemmert, Germain Forestier, Christiane Weber, Manuel Grizonnet:
Apprentissage de règles floues pour caractériser des objets d'intérêt dans une image de télédétection. Fouille de données complexes 2014: 23-42 - 2013
- [j8]Germain Forestier
Coastal image interpretation using background knowledge and semantics. Comput. Geosci. 54: 88-96 (2013) - [c18]Aymen Sellaouti, Atef Hamouda, Aline Deruyver, Cédric Wemmert:
Approche orientée objet sémantique et coopérative pour la classification des images de zones urbaines à très haute résolution. EGC 2013: 103-114 - [c17]Cédric Wemmert, Juliane M. Kruger, Germain Forestier
Stain unmixing in brightfield multiplexed immunohistochemistry. ICIP 2013: 1125-1129 - [c16]Bruno Belarte, Cédric Wemmert, Germain Forestier
Learning fuzzy rules to characterize objects of interest from remote sensing images. IGARSS 2013: 2986-2989 - [c15]Cecilia di Sciascio, Cecilia Zanni-Merk, Cédric Wemmert, Stella Marc-Zwecker, François de Bertrand de Beuvron:
Towards a Semi-automatic Semantic Approach for Satellite Image Analysis. KES 2013: 1388-1397 - 2012
- [j7]Germain Forestier
Knowledge-based region labeling for remote sensing image interpretation. Comput. Environ. Urban Syst. 36(5): 470-480 (2012) - [c14]Aymen Sellaouti, Hmida Rojbani, Atef Hamouda, Cédric Wemmert, Aline Deruyver:
Hierarchical classification-based radon road extraction (HCBRRE). ICARCV 2012: 390-395 - [c13]Aymen Sellaouti, Atef Hamouda, Aline Deruyver, Cédric Wemmert:
Hierarchical Classification-Based Region Growing (HCBRG): A Collaborative Approach for Object Segmentation and Classification. ICIAR (1) 2012: 51-60 - 2011
- [p2]Cédric Wemmert, Germain Forestier:
SLEMC : Apprentissage semi-supervisé enrichi par de multiples clusterings. Fouille de données complexes 2011: 147-170 - 2010
- [j6]Germain Forestier
Collaborative clustering with background knowledge. Data Knowl. Eng. 69(2): 211-228 (2010) - [j5]Sébastien Derivaux, Germain Forestier
Supervised image segmentation using watershed transform, fuzzy classification and evolutionary computation. Pattern Recognit. Lett. 31(15): 2364-2374 (2010) - [c12]Germain Forestier, Cédric Wemmert, Pierre Gançarski:
Comparaison de critères de pureté pour l'intégration de connaissances en clustering semi-supervisé. EGC 2010: 127-132 - [c11]Germain Forestier
Towards conflict resolution in collaborative clustering. IEEE Conf. of Intelligent Systems 2010: 361-366 - [c10]Germain Forestier
Background Knowledge Integration in Clustering Using Purity Indexes. KSEM 2010: 28-38
2000 – 2009
- 2009
- [j4]Cédric Wemmert, Anne Puissant
Multiresolution Remote Sensing Image Clustering. IEEE Geosci. Remote. Sens. Lett. 6(3): 533-537 (2009) - [c9]Germain Forestier
Mining Multiple Satellite Sensor Data Using Collaborative Clustering. ICDM Workshops 2009: 501-506 - [p1]Cédric Wemmert, Germain Forestier
Improving Supervised Learning with Multiple Clusterings. Applications of Supervised and Unsupervised Ensemble Methods 2009: 135-149 - 2008
- [j3]Germain Forestier
Multisource Images Analysis Using Collaborative Clustering. EURASIP J. Adv. Signal Process. 2008 (2008) - [c8]Germain Forestier
An Evolutionary Approach for Ontology Driven Image Interpretation. EvoWorkshops 2008: 295-304 - [c7]Germain Forestier, Sébastien Derivaux, Cédric Wemmert, Pierre Gançarski:
Interprétation d'images basée sur une approche évolutive guidée par une ontologie. EGC 2008: 469-474 - [c6]Germain Forestier
Semi-supervised Collaborative Clustering with Partial Background Knowledge. ICDM Workshops 2008: 211-217 - [c5]Germain Forestier
On Combining Unsupervised Classification and Ontology Knowledge. IGARSS (4) 2008: 395-398 - 2007
- [j2]Pierre Gançarski, Cédric Wemmert:
Collaborative multi-step mono-level multi-strategy classification. Multim. Tools Appl. 35(1): 1-27 (2007) - [c4]Nicolas Durand
Ontology-Based Object Recognition for Remote Sensing Image Interpretation. ICTAI (1) 2007: 472-479 - [c3]Sébastien Derivaux, Nicolas Durand
On the complementarity of an ontology and a nearest neighbour classifier for remotely sensed image interpretation. IGARSS 2007: 3983-3986 - 2005
- [c2]Pierre Gançarski, Cédric Wemmert:
Collaborative multi-strategy classification: application to per-pixel analysis of images. MDM@KDD 2005: 15-22 - 2000
- [j1]Cédric Wemmert, Pierre Gançarski, Jerzy J. Korczak:
A Collaborative Approach to Combine Multiple Learning Methods. Int. J. Artif. Intell. Tools 9(1): 59-78 (2000)
1990 – 1999
- 1999
- [c1]Cédric Wemmert, Pierre Gançarski, Jerzy Korczak:
An Unsupervised Collaborative Learning Method to Refine Classification Hierarchies. ICTAI 1999: 263-270
Coauthor Index
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last updated on 2024-11-07 21:29 CET by the dblp team
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