Abstract #1466

A preliminary study of geometric deep learning in brain morphometry: with application to Alzheimer’s disease

Huaiqiang Sun¹, Lin Zou¹, Haoyang Xing¹, Min Wu¹, Lei Chen², Qing Li³, and Qiyong Gong¹

¹Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China, ²Department of Neurology, West China Hospital of Sichuan University, Chengdu, China, ³MR Collaborations, Siemens Healthcare Ltd., Shanghai, China

A preliminary study that apply geometric deep learning to brain morphometry analysis of Alzheimer’s disease, the results show promising prediction accuracy suggesting geometric deep learning opens new prespectives for brain morphometry analysis of neurological and psychiatric disorders.

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