GridNet with Automatic Shape Prior Registration for Automatic MRI Cardiac Segmentation. - Clément Zotti; Zhiming Luo; Olivier Humbert; Alain Lalande; Pierre-Marc Jodoin (STACOM@MICCAI, 2017)

Graph cut-based method for segmenting the left ventricle from MRI or echocardiographic images. - Michaël Bernier; Pierre-Marc Jodoin; Olivier Humbert; Alain Lalande (Comput. Medical Imaging Graph., 2017)

Novel Deep Convolution Neural Network Applied to MRI Cardiac Segmentation. - Clément Zotti; Zhiming Luo; Alain Lalande; Olivier Humbert; Pierre-Marc Jodoin (CoRR, 2017)

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? - Olivier Bernard 001; Alain Lalande; Clément Zotti; Frederic Cervenansky; Xin Yang 009; Pheng-Ann Heng; Irem Cetin; Karim Lekadir; Oscar Camara 001; Miguel Ángel González Ballester; Gerard Sanroma; Sandy Napel; et al. (IEEE Trans. Medical Imaging, 2018)

Primal-dual for classification with rejection (PD-CR): a novel method for classification and feature selection - an application in metabolomics studies. - David Chardin; Olivier Humbert; Caroline Bailleux; Fanny Burel-Vandenbos; Valerie Rigau; Thierry Pourcher; Michel Barlaud (BMC Bioinform., 2021)

Privacy Preserving Image Registration. - Riccardo Taiello; Melek Önen; Olivier Humbert; Marco Lorenzi (MICCAI (6), 2022)

Learning a confidence score and the latent space of a new supervised autoencoder for diagnosis and prognosis in clinical metabolomic studies. - David Chardin; Cyprien Gille; Thierry Pourcher; Olivier Humbert; Michel Barlaud (BMC Bioinform., 2022)

Don't fear the unlabelled: safe deep semi-supervised learning via simple debiasing. - Hugo Schmutz; Olivier Humbert; Pierre-Alexandre Mattei (CoRR, 2022)

Don't fear the unlabelled: safe semi-supervised learning via debiasing. - Hugo Schmutz; Olivier Humbert; Pierre-Alexandre Mattei (ICLR, 2023)

Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism. - Aude Sportisse; Hugo Schmutz; Olivier Humbert; Charles Bouveyron; Pierre-Alexandre Mattei (ICML, 2023)

Fed-BioMed: Open, Transparent and Trusted Federated Learning for Real-world Healthcare Applications. - Francesco Cremonesi; Marc Vesin; Sergen Cansiz; Yannick Bouillard; Irene Balelli; Lucia Innocenti; Santiago Silva 001; Samy-Safwan Ayed; Riccardo Taiello; Laetitia Kameni; Richard Vidal; Fanny Orlhac; et al. (CoRR, 2023)

Privacy preserving image registration. - Riccardo Taiello; Melek Önen; Francesco Capano; Olivier Humbert; Marco Lorenzi (Medical Image Anal., 2024)