9 citations · 9 across the 2 of their papers we have counts for
3 papers
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…
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…
Identification of Rare Cortical Folding Patterns using Unsupervised Deep Learning
Louise Guillon, Joël Chavas, Audrey Bénézit +3
Like fingerprints, cortical folding patterns are unique to each brain even though they follow a general species-specific organization. Some folding patterns have been linked with n…