Deep Learning in Neuroimaging: Overcoming Challenges With Emerging Approaches

Deep learning (DL) is of great interest in psychiatry due its potential yet largely untapped ability to utilize multidimensional datasets (such as fMRI data) to predict clinical outcomes. Typical DL methods, however, have strong assumptions, such as large datasets and underlying model opaqueness, th...

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Bibliographic Details
Main Authors: Jason Smucny, Ge Shi, Ian Davidson
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Psychiatry
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2022.912600/full