Adaptive weighted fusion of multiple MR sequences for brain lesion segmentation. - Florence Forbes; Senan Doyle; Daniel García-Lorenzo; Christian Barillot; Michel Dojat (ISBI, 2010)

A Weighted Multi-Sequence Markov Model For Brain Lesion Segmentation. - Florence Forbes; Senan Doyle; Daniel García-Lorenzo; Christian Barillot; Michel Dojat (AISTATS, 2010)

On the difficulty to delimit disease risk hot spots. - M. Charras-Garrido; Lamiae Azizi; Florence Forbes; Senan Doyle; Nathalie Peyrard; D. Abrial (Int. J. Appl. Earth Obs. Geoinformation, 2013)

Assessment of Tissue Injury in Severe Brain Trauma. - Christophe Maggia; Senan Doyle; Florence Forbes; Olivier Heck; Irène Troprès; Corentin Berthet; Yann Teyssier; Lionel Velly; Jean-François Payen; Michel Dojat (Brainles@MICCAI, 2015)

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). - Bjoern H. Menze; András Jakab; Stefan Bauer; Jayashree Kalpathy-Cramer; Keyvan Farahani; Justin S. Kirby; Yuliya Burren; Nicole Porz; Johannes Slotboom; Roland Wiest; Levente Lanczi; Elizabeth R. Gerstner; et al. (IEEE Trans. Medical Imaging, 2015)

Sub-acute and Chronic Ischemic Stroke Lesion MRI Segmentation. - Senan Doyle; Florence Forbes; Assia Jaillard; Olivier Heck; Olivier Detante; Michel Dojat (BrainLes@MICCAI, 2017)

Traumatic Brain Lesion Quantification Based on Mean Diffusivity Changes. - Christophe Maggia; Thomas Mistral; Senan Doyle; Florence Forbes; Alexandre Krainik; Damien Galanaud; Emmanuelle Schmitt; Stéphane Kremer; Irène Troprès; Emmanuel Luc Barbier; Jean-François Payen; Michel Dojat (BrainLes@MICCAI, 2017)

Leveraging 3d Information In Unsupervised Brain Mri Segmentation. - Benjamin Lambert; Maxime Louis; Senan Doyle; Florence Forbes; Michel Dojat; Alan Tucholka (ISBI, 2021)

Beyond Voxel Prediction Uncertainty: Identifying Brain Lesions You Can Trust. - Benjamin Lambert; Florence Forbes; Senan Doyle; Alan Tucholka; Michel Dojat (iMIMIC@MICCAI, 2022)

Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis. - Benjamin Lambert; Florence Forbes; Alan Tucholka; Senan Doyle; Harmonie Dehaene; Michel Dojat (CoRR, 2022)

Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation. - Benjamin Lambert; Florence Forbes; Senan Doyle; Alan Tucholka; Michel Dojat (CoRR, 2022)

TriadNet: Sampling-Free Predictive Intervals for Lesional Volume in 3D Brain MR Images. - Benjamin Lambert; Florence Forbes; Senan Doyle; Michel Dojat (UNSURE@MICCAI, 2023)

Multi-layer Aggregation as a Key to Feature-Based OOD Detection. - Benjamin Lambert; Florence Forbes; Senan Doyle; Michel Dojat (UNSURE@MICCAI, 2023)

Anisotropic Hybrid Networks for Liver Tumor Segmentation with Uncertainty Quantification. - Benjamin Lambert; Pauline Roca; Florence Forbes; Senan Doyle; Michel Dojat (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 2023)

Robust Conformal Volume Estimation in 3D Medical Images. - Benjamin Lambert; Florence Forbes; Senan Doyle; Michel Dojat (MICCAI (10), 2024)

Trustworthy clinical AI solutions: A unified review of uncertainty quantification in Deep Learning models for medical image analysis. - Benjamin Lambert; Florence Forbes; Senan Doyle; Harmonie Dehaene; Michel Dojat (Artif. Intell. Medicine, 2024)