学术报告
房钰棋博士后学术报告:Unsupervised Cross-Domain Functional MRI Adaptation for Major Depressive Disorder Diagnosis
报告题目:Unsupervised Cross-Domain Functional MRI Adaptation for Major Depressive Disorder Diagnosis
摘要:In this talk we introduce two unsupervised cross-domain fMRI adaptation models for automated MDD identification. The first model is designed for single-source single-target domain adaptation. The second model tackles single-source multi-target domain adaptation.
报告人:房钰棋博士后(北卡罗来纳大学(北卡罗来纳州教堂山))
报告时间:2022年3月13日,星期日上午9:00
会议形式:ZOOM会议
会议ID:99450204919
会议密码:123321
专家简介:Dr. Yuqi Fang is a postdoctoral fellow at the University of North Carolina at Chapel Hill. She has received her Ph.D. in Electronic Engineering from The Chinese University of Hong Kong. Her research interest focuses on deep learning and its application in medical image analysis. She is currently working on development of multi-domain adaptation methods for brain disorder analysis.