Towards Interpretability of Segmentation Networks by Analyzing DeepDreams. - Vincent Couteaux; Olivier Nempont; Guillaume Pizaine; Isabelle Bloch (iMIMIC/ML-CDS@MICCAI, 2019)

Cooperating Networks To Enforce A Similarity Constraint In Paired But Unregistered Multimodal Liver Segmentation. - Vincent Couteaux; Mathilde Trintignac; Olivier Nempont; Guillaume Pizaine; Anna Sesilia Vlachomitrou; Pierre-Jean Valette; Laurent Milot; Isabelle Bloch (ISBI, 2021)

Comparing Deep Learning strategies for paired but unregistered multimodal segmentation of the liver in T1 and T2-weighted MRI. - Vincent Couteaux; Mathilde Trintignac; Olivier Nempont; Guillaume Pizaine; Anna Sesilia Vlachomitrou; Pierre-Jean Valette; Laurent Milot; Isabelle Bloch (CoRR, 2021)

Apprentissage profond pour la segmentation et la détection automatique en imagerie multi-modale : application à l'oncologie hépatique. (Deep learning for automatic segmentation and detection in multi-modal imaging : application to hepatic oncology). - Vincent Couteaux (2021)