Pipeline comparisons of convolutional neural networks for structural connectomes: predicting sex across 3,152 participants. (2020)

First Author: Yeung HW

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1109/embc44109.2020.9175596

PubMed Identifier: 33018322

Publication URI: http://europepmc.org/abstract/MED/33018322

Type: Journal Article/Review

Volume: 2020

Parent Publication: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

ISSN: 2375-7477