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2020 – today
- 2024
[i3]Aymeric Gaudin, Louise Guillon, Clara Fischer, Arnaud Cachia, Denis Rivière, Jean-François Mangin, Joël Chavas:
Optimizing contrastive learning for cortical folding pattern detection. CoRR abs/2401.18035 (2024)- [i2]Louise Guillon, Soheib Biga, Axel Puyo, Grégoire Pasquier, Valentin Foucher, Yendoubé E. Kantchire, Stéphane E. Sossou, Ameyo M. Dorkenoo, Laurent Bonnardot, Marc Thellier, Laurence Lachaud, Renaud Piarroux:
Assessing Generalization Capabilities of Malaria Diagnostic Models from Thin Blood Smears. CoRR abs/2408.08792 (2024) - 2023
- [b1]Louise Guillon:
Rare cortical folding patterns detection based on an unsupervised deep learning approach. (Détection de motifs rares de plissement cortical par une approche de deep learning non supervisée). University of Paris-Saclay, France, 2023 - 2022
- [c2]Joël Chavas
, Louise Guillon, Marco Pascucci, Benoit Dufumier, Denis Rivière, Jean-François Mangin:
Unsupervised Representation Learning of Cingulate Cortical Folding Patterns. MICCAI (1) 2022: 77-87 - [i1]Louise Guillon, Joël Chavas, Audrey Bénézit, Marie-Laure Moutard, Denis Rivière, Jean-François Mangin:
Identification of Rare Cortical Folding Patterns using Unsupervised Deep Learning. CoRR abs/2211.16213 (2022) - 2021
- [c1]Louise Guillon, Bastien Cagna, Benoit Dufumier, Joël Chavas, Denis Rivière, Jean-François Mangin:
Detection of Abnormal Folding Patterns with Unsupervised Deep Generative Models. MLCN@MICCAI 2021: 63-72
Coauthor Index
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