Cédric Wemmert

Orcid: 0000-0002-4360-4918

Affiliations:
  • University of Strasbourg, ICube, France


According to our database1, Cédric Wemmert authored at least 61 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Online presence:

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Bibliography

2024
Multi-scale Component-Tree: A Hierarchical Representation for Sparse Objects.
Proceedings of the Discrete Geometry and Mathematical Morphology, 2024

2023
HistoStarGAN: A unified approach to stain normalisation, stain transfer and stain invariant segmentation in renal histopathology.
Knowl. Based Syst., October, 2023

Comparison of deep learning architectures for colon cancer mutation detection.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022
Deep learning methods evaluation to predict air quality based on Computational Fluid Dynamics.
Expert Syst. Appl., 2022

Data augmentation based on spatial deformations for histopathology: An evaluation in the context of glomeruli segmentation.
Comput. Methods Programs Biomed., 2022

Generation of synthetic training data for SEEG electrodes segmentation.
Int. J. Comput. Assist. Radiol. Surg., 2022

CycleGAN for virtual stain transfer: Is seeing really believing?
Artif. Intell. Medicine, 2022

Weakly Supervised Learning using Attention gates for colon cancer histopathological image segmentation.
Artif. Intell. Medicine, 2022

Ensemble Clustering for Histopathological Images Segmentation using Convolutional Autoencoders.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Conditional image synthesis for improved segmentation of glomeruli in renal histopathological images.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2021
Towards histopathological stain invariance by Unsupervised Domain Augmentation using generative adversarial networks.
Neurocomputing, 2021

An automatic framework for fusing information from differently stained consecutive digital whole slide images: A case study in renal histology.
Comput. Methods Programs Biomed., 2021

Deep learning for colon cancer histopathological images analysis.
Comput. Biol. Medicine, 2021

Self Adversarial Attack as an Augmentation Method for Immunohistochemical Stainings.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
An automatic framework to study the tissue micro-environment of renal glomeruli in differently stained consecutive digital whole slide images.
CoRR, 2020

Real-Time Detection of Glomeruli in Renal Pathology.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

2019
Crowdsourcing of Histological Image Labeling and Object Delineation by Medical Students.
IEEE Trans. Medical Imaging, 2019

Strategies for Training Stain Invariant CNNS.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Ensemble Of Neural Networks For High Endothelial Venules Detection In Meca-79 Immunohistochemistry Images.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Collaborative clustering: Why, when, what and how.
Inf. Fusion, 2018

Role of Task Complexity and Training in Crowdsourced Image Annotation.
Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

Model-based graph segmentation in 2-D fluorescence microsecopy images.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Detection of glomeruli in renal pathology by mutual comparison of multiple staining modalities.
Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis, 2017

Optimal cut in minimum spanning trees for 3-D cell nuclei segmentation.
Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis, 2017

2016
Semi-supervised learning using multiple clusterings with limited labeled data.
Inf. Sci., 2016

Detection of lobular structures in normal breast tissue.
Comput. Biol. Medicine, 2016

2015
A Layered Architecture for a Fuzzy Semantic Approach for Satellite Image Analysis.
Int. J. Knowl. Syst. Sci., 2015

Synthesizing whole slide images.
Proceedings of the 9th International Symposium on Image and Signal Processing and Analysis, 2015

2014
Template-Based Hierarchical Building Extraction.
IEEE Geosci. Remote. Sens. Lett., 2014

Efficient Region-based Classification for Whole Slide Images.
Proceedings of the Computer Vision, Imaging and Computer Graphics - Theory and Applications, 2014

Fast Segmentation for Texture-based Cartography of whole Slide Images.
Proceedings of the VISAPP 2014, 2014

A Fuzzy-Rule Based Ontology for Urban Object Recognition.
Proceedings of the KEOD 2014, 2014

Apprentissage de règles floues pour caractériser des objets d'intérêt dans une image de télédétection.
Proceedings of the Fouille de Données Complexes, 2014, 2014

2013
Coastal image interpretation using background knowledge and semantics.
Comput. Geosci., 2013

Towards a Semi-automatic Semantic Approach for Satellite Image Analysis.
Proceedings of the 17th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2013

Learning fuzzy rules to characterize objects of interest from remote sensing images.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Stain unmixing in brightfield multiplexed immunohistochemistry.
Proceedings of the IEEE International Conference on Image Processing, 2013

Approche orientée objet sémantique et coopérative pour la classification des images de zones urbaines à très haute résolution.
Proceedings of the Extraction et gestion des connaissances (EGC'2013), Actes, 29 janvier, 2013

2012
Knowledge-based region labeling for remote sensing image interpretation.
Comput. Environ. Urban Syst., 2012

Hierarchical Classification-Based Region Growing (HCBRG): A Collaborative Approach for Object Segmentation and Classification.
Proceedings of the Image Analysis and Recognition - 9th International Conference, 2012

Hierarchical classification-based radon road extraction (HCBRRE).
Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012

2011
SLEMC : Apprentissage semi-supervisé enrichi par de multiples clusterings.
Proceedings of the Fouille de données complexes. Complexité liée aux données multiples, 2011

2010
Supervised image segmentation using watershed transform, fuzzy classification and evolutionary computation.
Pattern Recognit. Lett., 2010

Collaborative clustering with background knowledge.
Data Knowl. Eng., 2010

Background Knowledge Integration in Clustering Using Purity Indexes.
Proceedings of the Knowledge Science, 2010

Towards conflict resolution in collaborative clustering.
Proceedings of the 5th IEEE International Conference on Intelligent Systems, 2010

Comparaison de critères de pureté pour l'intégration de connaissances en clustering semi-supervisé.
Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010

2009
Improving Supervised Learning with Multiple Clusterings.
Proceedings of the Applications of Supervised and Unsupervised Ensemble Methods, 2009

Multiresolution Remote Sensing Image Clustering.
IEEE Geosci. Remote. Sens. Lett., 2009

Mining Multiple Satellite Sensor Data Using Collaborative Clustering.
Proceedings of the ICDM Workshops 2009, 2009

2008
Multisource Images Analysis Using Collaborative Clustering.
EURASIP J. Adv. Signal Process., 2008

On Combining Unsupervised Classification and Ontology Knowledge.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

Semi-supervised Collaborative Clustering with Partial Background Knowledge.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Interprétation d'images basée sur une approche évolutive guidée par une ontologie.
Proceedings of the Extraction et gestion des connaissances (EGC'2008), 2008

An Evolutionary Approach for Ontology Driven Image Interpretation.
Proceedings of the Applications of Evolutionary Computing, 2008

2007
Collaborative multi-step mono-level multi-strategy classification.
Multim. Tools Appl., 2007

On the complementarity of an ontology and a nearest neighbour classifier for remotely sensed image interpretation.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

Ontology-Based Object Recognition for Remote Sensing Image Interpretation.
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

2005
Collaborative multi-strategy classification: application to per-pixel analysis of images.
Proceedings of the 6th international workshop on Multimedia data mining, 2005

2000
A Collaborative Approach to Combine Multiple Learning Methods.
Int. J. Artif. Intell. Tools, 2000

1999
An Unsupervised Collaborative Learning Method to Refine Classification Hierarchies.
Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence, 1999


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