Benoît Audelan

According to our database, Benoît Audelan authored at least 6 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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, Douglas L. Arnold, Nikos Paragios, Shibeshih Mitiku Belachew

Medical Image Anal., 2025

2022

Robust Bayesian fusion of continuous segmentation maps.

Benoît Audelan, Dimitri Hamzaoui, Sarah Montagne, Raphaële Renard-Penna, Hervé Delingette

Medical Image Anal., 2022

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

PhD thesis, 2021

Unsupervised quality control of segmentations based on a smoothness and intensity probabilistic model.

Benoît Audelan, Hervé Delingette

Medical Image Anal., 2021

2020

Robust Fusion of Probability Maps.

Benoît Audelan, Dimitri Hamzaoui, Sarah Montagne, Raphaële Renard-Penna, Hervé Delingette

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Unsupervised Quality Control of Image Segmentation Based on Bayesian Learning.

Benoît Audelan, Hervé Delingette

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019