Olivier Humbert

13 papers A* 2Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
Privacy preserving image registration.
Medical Image Anal.
Riccardo Taiello, Melek Önen, Francesco Capano, Olivier Humbert, Marco Lorenzi
2023 A* conf
Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism.
ICML
Aude Sportisse, Hugo Schmutz, Olivier Humbert, Charles Bouveyron, Pierre-Alexandre Mattei
2023 A* conf
Don't fear the unlabelled: safe semi-supervised learning via debiasing.
ICLR
Hugo Schmutz, Olivier Humbert, Pierre-Alexandre Mattei
2023 J jnl
Fed-BioMed: Open, Transparent and Trusted Federated Learning for Real-world Healthcare Applications.
CoRR
Francesco Cremonesi, Marc Vesin, Sergen Cansiz, Yannick Bouillard, Irene Balelli, Lucia Innocenti, Santiago Silva, Samy-Safwan Ayed, Riccardo Taiello, Laetitia Kameni, Richard Vidal, Fanny Orlhac, Christophe Nioche, Nathan Lapel, Bastien Houis, Romain Modzelewski, Olivier Humbert, Melek Önen, Marco Lorenzi
2022 J jnl
Don't fear the unlabelled: safe deep semi-supervised learning via simple debiasing.
CoRR
Hugo Schmutz, Olivier Humbert, Pierre-Alexandre Mattei
2022 J jnl
Learning a confidence score and the latent space of a new supervised autoencoder for diagnosis and prognosis in clinical metabolomic studies.
BMC Bioinform.
David Chardin, Cyprien Gille, Thierry Pourcher, Olivier Humbert, Michel Barlaud
2022 — conf
Privacy Preserving Image Registration.
MICCAI (6)
Riccardo Taiello, Melek Önen, Olivier Humbert, Marco Lorenzi
2022 J jnl
Privacy Preserving Image Registration.
CoRR
Riccardo Taiello, Melek Önen, Olivier Humbert, Marco Lorenzi
2021 J jnl
Primal-dual for classification with rejection (PD-CR): a novel method for classification and feature selection - an application in metabolomics studies.
BMC Bioinform.
David Chardin, Olivier Humbert, Caroline Bailleux, Fanny Burel-Vandenbos, Valerie Rigau, Thierry Pourcher, Michel Barlaud
2018 J jnl
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?
IEEE Trans. Medical Imaging
Olivier Bernard, Alain Lalande, Clément Zotti, Frederic Cervenansky, Xin Yang, Pheng-Ann Heng, Irem Cetin, Karim Lekadir, Oscar Camara, Miguel Ángel González Ballester, Gerard Sanroma, Sandy Napel, Steffen E. Petersen, Georgios Tziritas, Elias Grinias, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi, Marc-Michel Rohé, Xavier Pennec, Maxime Sermesant, Fabian Isensee, Paul Jäger, Klaus H. Maier-Hein, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Christian F. Baumgartner, Lisa M. Koch, Jelmer M. Wolterink, Ivana Isgum, Yeonggul Jang, Yoonmi Hong, Jay Patravali, Shubham Jain, Olivier Humbert, Pierre-Marc Jodoin
2017 J jnl
Graph cut-based method for segmenting the left ventricle from MRI or echocardiographic images.
Comput. Medical Imaging Graph.
Michaël Bernier, Pierre-Marc Jodoin, Olivier Humbert, Alain Lalande
2017 — conf
GridNet with Automatic Shape Prior Registration for Automatic MRI Cardiac Segmentation.
STACOM@MICCAI
Clément Zotti, Zhiming Luo, Olivier Humbert, Alain Lalande, Pierre-Marc Jodoin
2017 J jnl
Novel Deep Convolution Neural Network Applied to MRI Cardiac Segmentation.
CoRR
Clément Zotti, Zhiming Luo, Alain Lalande, Olivier Humbert, Pierre-Marc Jodoin