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ORCIDOlivier Humbert
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2020 – today
- 2024
[j5]Riccardo Taiello
, Melek Önen, Francesco Capano, Olivier Humbert, Marco Lorenzi:
Privacy preserving image registration. Medical Image Anal. 94: 103129 (2024)- 2023
- [c4]Hugo Schmutz, Olivier Humbert, Pierre-Alexandre Mattei:
Don't fear the unlabelled: safe semi-supervised learning via debiasing. ICLR 2023 - [c3]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: 32521-32539 - [i4]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:
Fed-BioMed: Open, Transparent and Trusted Federated Learning for Real-world Healthcare Applications. CoRR abs/2304.12012 (2023) - 2022
- [j4]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): 361 (2022) - [c2]Riccardo Taiello, Melek Önen, Olivier Humbert, Marco Lorenzi:
Privacy Preserving Image Registration. MICCAI (6) 2022: 130-140 - [i3]Hugo Schmutz, Olivier Humbert, Pierre-Alexandre Mattei:
Don't fear the unlabelled: safe deep semi-supervised learning via simple debiasing. CoRR abs/2203.07512 (2022) - [i2]Riccardo Taiello, Melek Önen, Olivier Humbert, Marco Lorenzi:
Privacy Preserving Image Registration. CoRR abs/2205.10120 (2022) - 2021
- [j3]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): 594 (2021)
2010 – 2019
- 2018
- [j2]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:
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? IEEE Trans. Medical Imaging 37(11): 2514-2525 (2018) - 2017
- [j1]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: 1-12 (2017) - [c1]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: 73-81 - [i1]Clément Zotti, Zhiming Luo, Alain Lalande, Olivier Humbert, Pierre-Marc Jodoin:
Novel Deep Convolution Neural Network Applied to MRI Cardiac Segmentation. CoRR abs/1705.08943 (2017)
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