9月7日 9:00 — 10:00
报告地点 ： 综合楼5楼第一会议室
报告题目 ： Computational Anatomy: Towards Automatic Understating of Human Anatomy
报告人 ： 陈延伟， 日本立命馆大学情报理工学部 教授
Atlas of human anatomy is an important teaching tool in the medical community. In the recent
years, digital atlases of human anatomy have become popular and hot topics in medical image
analysis research field. The basic idea of the digital atlas is to capture the organ variability of its
position, shape and voxel intensity (texture) from a training set (either different individuals
(inter-patient variability) or the same individual (intra-patient variability)). We constructed
computational abdominal models and developed advanced computer-aided diagnosis (CAD) and
computer-aided surgery (CAS) systems by combining the models with the artificial intelligence
(AI) and augmented reality (AR) techniques. In this speech, I will talk about current progress
and futures of computational anatomy and its application to CAD and CAS. I will also introduce
our MEXT strategic research project “Towards Anywhere at Any time ‘Japanese Quality’ Medical
Treatment” and some research activities of research center of advanced ICT for medicine and
Yen-Wei Chen received the B.E. degree in 1985 from Kobe Univ., Kobe, Japan, the M.E.
degree in 1987, and the D.E. degree in 1990, both from Osaka Univ., Osaka, Japan. He was a
research fellow with the Institute of Laser Technology, Osaka, from 1991 to 1994. From Oct.
1994 to Mar. 2004, he was an associate Professor and a professor with the Department of
Electrical and Electronic Engineering, Univ. of the Ryukyus, Okinawa, Japan. He is currently a
professor with the college of Information Science and Engineering, and director of Research
Center of Advanced ICT for Medicine and Healthcare, Ritsumeikan University, Japan. He is also a
chair professor with the College of Computer Science, Zhejiang University, China （the Zhejiang
Thousand Talents Plan）. He was a visiting professor with the Oxford University, Oxford, UK in
2003 and a visiting professor with Pennsylvania State University, USA in 2010.
His research interests include medical image analysis, computer vision and computational
intelligence. He has published more than 300 research papers in a number of leading journals
and leading conferences including IEEE Trans. Image Processing, IEEE Trans. SMC, Pattern
Recognition. He has received many distinguished awards including ICPR2012 Best Scientific
Paper Award, 2014 JAMIT Best Paper Award, Outstanding Chinese Oversea Scholar Fund of
Chinese Academy of Science.