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学术报告:Multi-task Learning in Neuroimaging Analysis

 

报告地点:博习楼327
报告人:Dinggang Shen Ph.D
邀请人:陈新建 特聘教授
 
 
报告人简介:Dr. Dinggang Shen is a tenured professor of Radiology, Biomedical Research Imaging Center (BRIC), Computer Science and Biomedical Engineering in the University of North Carolina at Chapel Hill (UNC). He is currently directing the Center for Image Informatics, the Image Display, Enhancement, and Analysis (IDEA) Lab in the Department of Radiology, and also the medical image analysis core in the BRIC. He received his bachelor, master, and doctoral degrees from the Department of Electronic Engineering, Shanghai Jiao Tong University in 1990, 1992, and 1995 respectively. He was a faculty member in the Johns Hopkins University and a tenure-track assistance professor in the University of Pennsylvania. Dr. Shen’s research interest includes medical image analysis, computer vision, and pattern recognition. He has published more than 500 papers in the international journals and conference proceedings. He serves as an editorial board member for seven
international journals. He also serves in the Board of Directors, The Medical Image Computing and Computer Assisted Intervention (MICCAI) Society.
 
 报告摘要:This talk will summarize our recent work on analysis of MR brain images. Ourgoal is to precisely measure subtle and complex structural/functionalchanges in the brains, with applications in early detection of braindisorders, such as Alzheimer's Disease (AD). To achieve this goal, wedeveloped various multi-task learning methods for brain image segmentation,structural labeling, connectivity estimation, and brain registration as wellas atlas construction. We have also developed many multi-view representationand sparse learning methods for diagnosis of brain disorders. All thesetechniques and applications will be discussed in the talk.
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