Olivier Humbert

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 13

Top Topics

Privacy Preserving

Labeled Instances

Image Registration

Top Venues

Medical Image Anal.

IEEE Trans. Medical Imaging

Publications

Riccardo Taiello, Melek Önen, Francesco Capano, Olivier Humbert, Marco Lorenzi
Privacy preserving image registration. Medical Image Anal. 94 (2024)
Hugo Schmutz, Olivier Humbert, Pierre-Alexandre Mattei
Don't fear the unlabelled: safe semi-supervised learning via debiasing. ICLR (2023)
Francesco Cremonesi, Marc Vesin, Sergen Cansiz, Yannick Bouillard, Irene Balelli, Lucia Innocenti, Santiago S. Silva R., 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
Fed-BioMed: Open, Transparent and Trusted Federated Learning for Real-world Healthcare Applications. CoRR (2023)
Aude Sportisse, Hugo Schmutz, Olivier Humbert, Charles Bouveyron, Pierre-Alexandre Mattei
Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism. ICML (2023)
Riccardo Taiello, Melek Önen, Olivier Humbert, Marco Lorenzi
Privacy Preserving Image Registration. MICCAI (6) (2022)
David Chardin, Cyprien Gille, Thierry Pourcher, Olivier Humbert, Michel Barlaud
Learning a confidence score and the latent space of a new supervised autoencoder for diagnosis and prognosis in clinical metabolomic studies. BMC Bioinform. 23 (1) (2022)
Riccardo Taiello, Melek Önen, Olivier Humbert, Marco Lorenzi
Privacy Preserving Image Registration. CoRR (2022)
Hugo Schmutz, Olivier Humbert, Pierre-Alexandre Mattei
Don't fear the unlabelled: safe deep semi-supervised learning via simple debiasing. CoRR (2022)
David Chardin, Olivier Humbert, Caroline Bailleux, Fanny Burel-Vandenbos, Valerie Rigau, Thierry Pourcher, Michel Barlaud
Primal-dual for classification with rejection (PD-CR): a novel method for classification and feature selection - an application in metabolomics studies. BMC Bioinform. 22 (1) (2021)
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 Jaeger, 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
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? IEEE Trans. Medical Imaging 37 (11) (2018)
Clément Zotti, Zhiming Luo, Alain Lalande, Olivier Humbert, Pierre-Marc Jodoin
Novel Deep Convolution Neural Network Applied to MRI Cardiac Segmentation. CoRR (2017)
Clément Zotti, Zhiming Luo, Olivier Humbert, Alain Lalande, Pierre-Marc Jodoin
GridNet with Automatic Shape Prior Registration for Automatic MRI Cardiac Segmentation. STACOM@MICCAI (2017)
Michaël Bernier, Pierre-Marc Jodoin, Olivier Humbert, Alain Lalande
Graph cut-based method for segmenting the left ventricle from MRI or echocardiographic images. Comput. Medical Imaging Graph. 58 (2017)