Detection of Abnormal Folding Patterns with Unsupervised Deep Generative Models. - Louise Guillon; Bastien Cagna; Benoit Dufumier; Joël Chavas; Denis Rivière; Jean-François Mangin (MLCN@MICCAI, 2021)

Unsupervised Representation Learning of Cingulate Cortical Folding Patterns. - Joël Chavas; Louise Guillon; Marco Pascucci; Benoit Dufumier; Denis Rivière; Jean-François Mangin (MICCAI (1), 2022)

Identification of Rare Cortical Folding Patterns using Unsupervised Deep Learning. - Louise Guillon; Joël Chavas; Audrey Bénézit; Marie-Laure Moutard; Denis Rivière; Jean-François Mangin (CoRR, 2022)

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). - Louise Guillon (2023)

Assessing Generalization Capabilities of Malaria Diagnostic Models from Thin Blood Smears. - 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 (AMAI@MICCAI, 2024)

Optimizing contrastive learning for cortical folding pattern detection. - Aymeric Gaudin; Louise Guillon; Clara Fischer; Arnaud Cachia; Denis Rivière; Jean-François Mangin; Joël Chavas (CoRR, 2024)

Towards Field-Ready AI-based Malaria Diagnosis: A Continual Learning Approach. - Louise Guillon; Soheib Biga; Yendoubé E. Kantchire; Mouhamadou Lamine Sane; Grégoire Pasquier; Kossi Yakpa; Stéphane E. Sossou; Marc Thellier; Laurent Bonnardot; Laurence Lachaud; Renaud Piarroux; Ameyo M. Dorkenoo (CoRR, 2025)