A Surface-based deep learning approach for cortical shape analysis.

Autor: Im Y; Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, United States., Zhao Y; Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL 60616, United State., Gutman BA; Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL 60616, United State., Thomopoulos SI; Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, United States., Haddad E; Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, United States., Zhu AH; Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, United States., Jahanshad N; Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, United States., Thompson PM; Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, United States., Ching CRK; Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, United States.

Publikováno v: BioRxiv : the preprint server for biology [bioRxiv] 2024 Oct 29. Date of Electronic Publication: 2024 Oct 29.