An a contrario approach for outliers segmentation: Application to Multiple Sclerosis in MRI. - François Rousseau 002; Frédéric Blanc 002; Jérôme de Seze; Lucien Rumbach; Jean-Paul Armspach (ISBI, 2008)

Longitudinal Change Detection: Inference on the Diffusion Tensor Along White-Matter Pathways. - Antoine Grigis; Vincent Noblet; Frédéric Blanc 002; Fabrice Heitz; Jérôme de Seze; Jean-Paul Armspach (MICCAI (2), 2011)

Longitudinal change detection in diffusion MRI using multivariate statistical testing on tensors. - Antoine Grigis; Vincent Noblet; Fabrice Heitz; Frédéric Blanc 002; Jérôme de Seze; Stéphane Kremer; Lucien Rumbach; Jean-Paul Armspach (NeuroImage, 2012)

Longitudinal change detection: Inference on the diffusion tensor along white matter pathways. - Antoine Grigis; Vincent Noblet; Frédéric Blanc 002; Fabrice Heitz; Jérôme de Seze; Stéphane Kremer; Jean-Paul Armspach (Medical Image Anal., 2013)

General linear models for group studies in diffusion tensor imaging. - Alix Bouchon; Vincent Noblet; Fabrice Heitz; Julien Lamy; Frédéric Blanc 002; Jean-Paul Armspach (ISBI, 2014)

Which Manifold Should be Used for Group Comparison in Diffusion Tensor Imaging? - Alix Bouchon; Vincent Noblet; Fabrice Heitz; Julien Lamy; Frédéric Blanc 002; Jean-Paul Armspach (MICCAI (1), 2015)

Identifying Dynamic Functional Connectivity Changes in Dementia with Lewy Bodies Based on Product Hidden Markov Models. - Marion Sourty; Laurent Thoraval; Daniel Roquet; Jean-Paul Armspach; Jack Foucher; Frédéric Blanc 002 (Frontiers Comput. Neurosci., 2016)

Which is the most appropriate strategy for conducting multivariate voxel-based group studies on diffusion tensors? - Alix Bouchon; Vincent Noblet; Fabrice Heitz; Julien Lamy; Frédéric Blanc 002; Jean-Paul Armspach (NeuroImage, 2016)

Anomaly Detection in Single Subject vs Group Using Manifold Learning. - Florian Tilquin; Sylvain Faisan; Fabrice Heitz; Vincent Noblet; Frédéric Blanc 002; Izzie Namer (ICASSP, 2019)

The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study. - Gustav Mårtensson; Daniel Ferreira 003; Tobias Granberg; Lena Cavallin; Ketil Oppedal; Alessandro Padovani; Irena Rektorová; Laura Bonanni; Matteo Pardini; Milica G. Kramberger; John-Paul Taylor; Jakub Hort; et al. (CoRR, 2019)

The reliability of a deep learning model in clinical out-of-distribution MRI data: A multicohort study. - Gustav Mårtensson; Daniel Ferreira 003; Tobias Granberg; Lena Cavallin; Ketil Oppedal; Alessandro Padovani; Irena Rektorová; Laura Bonanni; Matteo Pardini; Milica G. Kramberger; John-Paul Taylor; Jakub Hort; et al. (Medical Image Anal., 2020)

A study on 3D classical versus GAN-based augmentation for MRI brain image to predict the diagnosis of dementia with Lewy bodies and Alzheimer's disease in a European multi-center study. - Petter Minne; Alvaro Fernandez-Quilez; Dag Aarsland; Daniel Ferreira 003; Eric Westman; Afina W. Lemstra; Mara Ten Kate; Alessandro Padovani; Irena Rektorová; Laura Bonanni; Flavio Nobili; Milica G. Kramberger; et al. (Computer-Aided Diagnosis, 2022)