Peer-Reviewed Publication
bioRxiv2026May 19, 2026Journal Article

Replicability of unsupervised deep learning derived image phenotypes.

Tian Xia1, Sheikh Muhammad Saiful Islam1, Ziqian Xie1, Xingzhong Zhao1, Degui Zhi1
1D. Bradley McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, US.

Abstract

Unsupervised deep-learning image phenotypes derived from brain MRI are propelling imaging genetics to link brain structure to genetic variation. However, their replicability across data sets has not been sufficiently evaluated, raising questions about whether they capture robust biological structure or reflect training-specific artifacts. Here, we assess the replicability of unsupervised deep-lear…

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