Deep learning identifies morphological determinants of sex differences in the pre-adolescent brain

The application of data-driven deep learning to identify sex differences in developing brain structures of pre-adolescents has heretofore not been accomplished. Here, the approach identifies sex differences by analyzing the minimally processed MRIs of the first 8144 participants (age 9 and 10 years)...

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Bibliographic Details
Main Authors: Ehsan Adeli, Qingyu Zhao, Natalie M. Zahr, Aimee Goldstone, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl
Format: Article
Language:English
Published: Elsevier 2020-12-01
Series:NeuroImage
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811920307795