Unsupervised Quality Control of Image Segmentation Based on Bayesian Learning. - Benoît Audelan; Hervé Delingette (MICCAI (2), 2019)

Robust Fusion of Probability Maps. - Benoît Audelan; Dimitri Hamzaoui; Sarah Montagne; Raphaële Renard-Penna; Hervé Delingette (MICCAI (4), 2020)

Unsupervised quality control of segmentations based on a smoothness and intensity probabilistic model. - Benoît Audelan; Hervé Delingette (Medical Image Anal., 2021)

Probabilistic segmentation modelling and deep learning-based lung cancer screening. (Modèles probabilistes pour la segmentation d'images et dépistage du cancer du poumon par apprentissage profond). - Benoît Audelan (2021)

Robust Bayesian fusion of continuous segmentation maps. - Benoît Audelan; Dimitri Hamzaoui; Sarah Montagne; Raphaële Renard-Penna; Hervé Delingette (Medical Image Anal., 2022)

Deep learning detection of acute and sub-acute lesion activity from single-timepoint conventional brain MRI in multiple sclerosis. - Quentin Spinat; Benoît Audelan; Xiaotong Jiang; Bastien Caba; Alexis Benichoux; Despoina Ioannidou; Olivier Teboul; Nikos Komodakis; Willem Huijbers; Refaat Gabr; Arie Gafson; Colm Elliott; et al. (Medical Image Anal., 2025)