Exploring the potential of representation and transfer learning for anatomical neuroimaging: Application to psychiatry

Benoit Dufumier, Pietro Gori, Sara Petiton, Robin Louiset, Jean-François Mangin, Antoine Grigis, Edouard Duchesnay

Abstract: Highlights•Deep models achieve predictive performance similar to linear models on clinical tasks.•Self-supervised pretraining improves deep representations of neuroanatomical features.•Combining transfer learning and deep ensemble achieves SOTA results on 2 datasets.