Publications
linked to the project :
- Antoine Bourlier , Elodie Chaillou , Jean-Yves Ramel: Image
document 3DBrainMiner, a tool to generate brain graphs from MR-images.
NeuroCompare : Comparative Neuronal Circuits For Adaptive Behaviour,
Sep 2023, Bordeaux, France hal-04228052v1
- Antoine Bourlier , Elodie Chaillou , Jean-Yves Ramel , Mohamed Slimane.
Comparison Between CNN and GNN Pipelines for Analysing the Brain in
Development. 20th International Conference on Computer Vision Theory
and Applications, 2025, Porto, Portugal. pp.475-482,hal-05127055v1
Thèse
de Gaetan Galisot (mars 2018) : Segmentation
interactive d’images 3d multimodales- Gaetan Galisot, Thierry Brouard, Jean-Yves Ramel, Elodie Chaillou:Evaluation of algorithms for Multi-Modality Whole Heart
Segmentation: An open-access grand challenge. Medical Image Anal. 58
(2019)
- Gaetan Galisot, Thierry Brouard, Jean-Yves Ramel, Elodie Chaillou: A
Comparative Study on Voxel Classification Methods for Atlas based
Segmentation of Brain Structures from 3D MRI Images. VISIGRAPP (4:
VISAPP) 2019: 341-350
- G. Galisot, T.
Brouard et J.-Y. Ramel. E. Chaillou. Image segmentation using local
probabilistic atlases coupled with
topological information. 12th International
Conference on Computer Vision Theory and Applications.VISAPP 2017.
- G. Galisot, T. Brouard, JY Ramel: Local Probabilistic
Atlases and a Posteriori Correction for the Segmentation of Heart
Images. STACOM@MICCAI 2017: 207-214
- G.
Galisot, T. Brouard et J.-Y. Ramel. Apprentissage et exploitation d'un
graphe topologique d'atlas probabilistes locaux pour la segmentation
d'images IRM. 20e Congrès RFIA, Clermont-ferrand. 2016.
LISTIC - USMB.
LIFAT - Université de Tours.
Contacts: Jean-Yves Ramel, Elodie Chailliou