报告人：Dinggang Shen (沈定刚) 教授，美国北卡罗来纳大学教堂山分校，中科院海外评审专家 

　　主持人：戴亚康研究员，医学影像技术研究室 

　　报告时间：2015年4月22日（星期三）上午10:00-11:30 

　　报告地点：A3行政综合楼312会议室 

　　报告摘要： 

　　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，阿尔茨海默病). 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. 

　　报告人简历： 

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.  

　　欢迎大家踊跃参加！ 

　　科研管理处 

　　2015年4月20日