Pr WEMMERT Cédric

Fiche personne

coordonnées

ICube - UMR CNRS 7357
300 bd S. Brant
CS 10413
67412 ILLKIRCH

03 68 85 45 81

wemmert@unistra.fr

Territoire

Alsace

Statut

Enseignant-Chercheur

affiliation

Université de Strasbourg (Unistra)

iCube UMR 7357 - Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (iCube)

équipes/plateformes

Equipe UMR 7357 - Equipe "Informatique Recherche / Science des Données et Connaissances (SDC)"

Recherche

Mots clés : consensus de clusterings,extraction automatique d'informations de haut niveau sémantique à partir d'images,intégration de connaissances du domaine en fouille de données,analyse d'images histopathologiques

Projets

Intelligence artificielle pour l’analyse multimodale d’imagomics - nouvelles approches pour le diagnostic du cancer hépatique primaire (MAIA)

2023 - Porteur du projet : Pr WEMMERT Cédric

Artificial intelligence to determine prognosis and mutation status in colorectal cancer using histological slides (AICOLO)

2019 - Porteur du projet : Pr WEMMERT Cédric - Partenaire : Pr GHIRINGHELLI François

Publications

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

Zidaoui I, Wemmert C, Dufresne M, Joannis C, Isel S, Wertel J, Vazquez J

Water Sci Technol. 2023 06;87(12):2957-2970

CycleGAN for virtual stain transfer: Is seeing really believing?

Vasiljević J, Nisar Z, Feuerhake F, Wemmert C, Lampert T

Artif Intell Med. 2022 11;133:102420

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

Ben Hamida A, Devanne M, Weber J, Truntzer C, Derangère V, Ghiringhelli F, Forestier G, Wemmert C

Artif Intell Med. 2022 11;133:102407

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

Allender F, Allègre R, Wemmert C, Dischler JM

Comput Methods Programs Biomed. 2022 06;221:106919

Generation of synthetic training data for SEEG electrodes segmentation.

Pantovic A, Ren X, Wemmert C, Ollivier I, Essert C

Int J Comput Assist Radiol Surg. 2022 Mar 11;:

Deep learning for colon cancer histopathological images analysis.

Ben Hamida A, Devanne M, Weber J, Truntzer C, Derangère V, Ghiringhelli F, Forestier G, Wemmert C

Comput Biol Med. 2021 Aug 4;136:104730

An automatic framework for fusing information from differently stained consecutive digital whole slide images: A case study in renal histology.

Merveille O, Lampert T, Schmitz J, Forestier G, Feuerhake F, Wemmert C

Comput Methods Programs Biomed. 2021 May 11;208:106157

[Do artificial intelligence systems reason in the same way as clinicians when making diagnoses?]

Pelaccia T, Forestier G, Wemmert C

Rev Med Interne. 2020 Mar;41(3):192-195

Deconstructing the diagnostic reasoning of human versus artificial intelligence.

Pelaccia T, Forestier G, Wemmert C

CMAJ. 2019 Dec 2;191(48):E1332-E1335

Crowdsourcing of Histological Image Labeling and Object Delineation by Medical Students.

Grote A, Schaadt NS, Forestier G, Wemmert C, Feuerhake F

IEEE Trans Med Imaging. 2019 05;38(5):1284-1294

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

Schaadt NS, Alfonso JCL, Schönmeyer R, Grote A, Forestier G, Wemmert C, Krönke N, Stoeckelhuber M, Kreipe HH, Hatzikirou H, Feuerhake F

Breast Cancer Res. Treat.. 2017 Jul;164(2):305-315

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

Alfonso JC, Schaadt NS, Schönmeyer R, Brieu N, Forestier G, Wemmert C, Feuerhake F, Hatzikirou H

Sci Rep. 2016 Sep 23;6:33322

Detection of lobular structures in normal breast tissue.

Apou G, Schaadt NS, Naegel B, Forestier G, Schönmeyer R, Feuerhake F, Wemmert C, Grote A

Comput. Biol. Med.. 2016 07 1;74:91-102