Prof. Yen-Wei Chen
Professor, College of Information Science and Engineering
Ritsumeikan University, Japan
Computational Anatomy, Artificial Intelligence and Virtual Reality in Medicine and Healthcare
Summary: Atlas of human anatomy is an important teaching tool in the medical community. In the recent years, computational anatomic atlases have become popular and hot topics in medicine and healthcare. The basic idea of the computational anatomic 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)). On the other hand, artificial intelligence (AI) and virtual reality (VR) plays important roles in many academic and industrial areas. We constructed computational abdominal atlases and combine them with AI and VR to assist clinical diagnosis, treatment and surgery. The computational anatomy-based AI or VR techniques can significantly improve the accuracy and efficiency of diagnosis and treatments. In this keynote, I will talk about constructions of computational anatomic atlas and current progress and futures of AI and VR in medical applications.
Biography: 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 for 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, Ritsumeikan University, Japan. He is also a visiting professor with the College of Computer Science, Zhejiang University, China. 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. He is/was a leader of numerous national and industrial research projects.