报告人：University of North Carolina at Chapel Hill (UNC）的 Dinggang Shen 教授
报告时间： 4月27日上午10：00-11：20
报告地点： 教3-338
Title: “Multi-task Learning in Neuroimaging Analysis”
Abstract:
This talk will summarize our recent work on analysis of MR brain images. Our goal is to precisely measure subtle and complex structural/functional changes in the brains, with applications in early detection of brain disorders, such as Alzheimer's Disease (AD). To achieve this goal, we developed various multi-task learning methods for brain image segmentation, structural labeling, connectivity estimation, and brain registration as well as atlas construction. We have also developed many multi-view representation and sparse learning methods for diagnosis of brain disorders. All these techniques and applications will be discussed in the talk.
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.
