고려대학교 뇌공학과

 - 아 래 -

연사: Dinggang Shen 교수 (University of North Carolina at Chapel Hill)

제목: Learning Brain Functional Networks for Mental Disorder Diagnosis

일시: 2019년 10월 28일(월) 오전 11시

장소: 우정정보관 604호

주최: 고려대학교 BK21플러스 뇌공학글로벌SW인재양성사업단 

후원: 고려대학교 대학원 뇌공학과, 뇌공학연구소, 뇌인지과학융합전공, 인공지능연구센터

문의: 02)3290-5920

초록:

Brain functional connectivity and the complex brain networks are very informative for investigation of cognitive function and its alterations due to various mental disorders. In this talk, I will present our recently developed methods for high-order brain network construction, directional network modeling, and various advanced machine learning and deep learning frameworks for learning discriminative features from brain networks for individualized disease diagnosis. I will also briefly introduce our newly developed toolbox, for facilitating clinicians and neuroscientists to construct brain functional networks and conduct network-based analysis/classification. All the methodological advances and their clinical applications are bringing brain functional network analysis from bench to bedside.