3 papers
cs.LG2026
Geometric-to-Semantic Spherical Transfer Learning for Cortical Sulci Labeling
Saeb Tounsi, Joël Chavas, Pietro Gori +3
Deep learning on cortical surfaces faces a dilemma: capturing the complex topology of over 60 nomenclature-dependent sulci per hemisphere requires high-capacity models, yet the ext…
q-bio.QM2026
Representation learning of human cortical folding to reveal long lasting neurodevelopmental signatures
Julien Laval, Robin Guiavarch, Antoine Dufournet +24
The human brain folds in utero, primarily during late gestation. Shortly after birth, cortical folding patterns are established and remain stable thereafter, making them promising…
q-bio.NC2024
Self-supervised contrastive learning unveils cortical folding pattern linked to prematurity
Julien Laval, Aymeric Gaudin, Vincent Frouin +5
Brain folding patterns have been reported to carry clinically relevant information. The brain folds mainly during the last trimester of pregnancy, and the process might be durably…