2 papers
cs.LG2026
Riemannian geometry meets fMRI: the advantages of modeling correlation manifolds and eigenvector subspaces
Mario Severino, Manuela Moretto, Robert A. McCutcheon +1
Correlation matrices are fundamental summaries of functional brain networks, yet standard analyses often treat entries independently, ignoring the curved geometry of correlation sp…
eess.IV2025
ASCHOPLEX encounters Dafne: a federated continuous learning project for the generalizability of the Choroid Plexus automatic segmentation
Valentina Visani, Marco Pinamonti, Valentina Sammassimo +7
The Choroid Plexus (ChP) is a highly vascularized brain structure that plays a critical role in several physiological processes. ASCHOPLEX, a deep learning-based segmentation toolb…