A multicohort geometric deep learning study of age dependent cortical and subcortical morphologic interactions for fluid intelligence prediction

Yunan Wu*, Pierre Besson, Emanuel A. Azcona, S. Kathleen Bandt, Todd B. Parrish, Hans C. Breiter, Aggelos K. Katsaggelos

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Fingerprint

Dive into the research topics of 'A multicohort geometric deep learning study of age dependent cortical and subcortical morphologic interactions for fluid intelligence prediction'. Together they form a unique fingerprint.

INIS

Neuroscience