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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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