A Patch-Based Segmentation Approach with High Level Representation of the Data for Cortical Sulci Recognition. - Léonie Borne; Jean-François Mangin; Denis Rivière (Patch-MI@MICCAI, 2018)

Design of a top-down computer vision algorithm dedicated to the recognition of cortical sulci. (Conception d'un algorithme de vision par ordinateur « top-down » dédié à la reconnaissance des sillons corticaux). - Léonie Borne (2019)

Automatic labeling of cortical sulci using patch- or CNN-based segmentation techniques combined with bottom-up geometric constraints. - Léonie Borne; Denis Rivière; Martial Mancip; Jean-François Mangin (Medical Image Anal., 2020)

Automatic recognition of specific local cortical folding patterns. - Léonie Borne; Denis Rivière; Arnaud Cachia; Pauline Roca; Charles Mellerio; Catherine Oppenheim; Jean-François Mangin (NeuroImage, 2021)

The CHiME-7 UDASE task: Unsupervised domain adaptation for conversational speech enhancement. - Simon Leglaive; Léonie Borne; Efthymios Tzinis; Mostafa Sadeghi; Matthieu Fraticelli; Scott Wisdom; Manuel Pariente; Daniel Pressnitzer; John R. Hershey (CoRR, 2023)

Functional re-organization of hippocampal-cortical gradients during naturalistic memory processes. - Léonie Borne; Ye Tian 031; Michelle K. Lupton; Johan N. van der Meer; Jayson Jeganathan; Bryan Paton; Nikitas Koussis; Christine C. Guo; Gail A. Robinson; Jurgen Fripp; Andrew Zalesky; Michael Breakspear (NeuroImage, 2023)

Objective and subjective evaluation of speech enhancement methods in the UDASE task of the 7th CHiME challenge. - Simon Leglaive; Matthieu Fraticelli; Hend Elghazaly; Léonie Borne; Mostafa Sadeghi; Scott Wisdom; Manuel Pariente; John R. Hershey; Daniel Pressnitzer; Jon P. Barker (Comput. Speech Lang., 2025)