Prof. Kiyoshi Hoshino received two doctor's degrees; one in Medical Science in 1993, and the other in Engineering in 1996, from the University of Tokyo respectively. From 1993 to 1995, he was an assistant professor at Tokyo Medical and Dental University School of Medicine. From 1995 to 2002, he was an associate professor at University of the Ryukyus. From 2002, he was an associate professor at the Biological Cybernetics Lab of University of Tsukuba. He is now a professor. From 1998 to 2001, he was jointly appointed as a senior researcher of the PRESTO "Information and Human Activity" project of the Japan Science and Technology Agency (JST). From 2002 to 2005, he was a project leader of a SORST project of JST. His research interests include biomedical measurement and modelling, medical engineering, motion capture, computer vision, and humanoid robot design.
Prof. Yen-Wei Chen received his B.E. degree in 1985 from Kobe University, Kobe, Japan. He received his M.E. degree in 1987 and his D.E. degree in 1990, both from Osaka University, Osaka, Japan. From 1991 to 1994, he was a research fellow at the Institute of Laser Technology, Osaka, Japan. From October 1994 to March 2004, he was an associate Professor and a professor in the Department of Electrical and Electronic Engineering, University of the Ryukyus, Okinawa, Japan. He is currently a professor at the college of Information Science and Engineering, Ritsumeikan University, Kyoto, Japan. He was a visiting professor at Oxford University, Oxford, UK in 2003 and at Pennsylvania State University, Pennsylvania, USA in 2010. He is also a chair professor at College of Computer Science and Technology, Zhejiang University, Hangzhou, China. He is associate Editors for the International Journal of Image and Graphics (IJIG), and the International Journal of Knowledge-based and Intelligent Engineering Systems. His research focuses on computer vision, medical image analysis and machine learning. He has published more than 300 research papers in these fields. He received various awards, such as Best Paper Award of ICPR2012, Paper Award of Meical Imaging Technology (Journal).
Speech Title: "Digital Atlas, Artificial Intelligence and Virtual Reality in Medical Applications"
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)). On the other hand, artificial intelligence (AI) and virtual reality (VR) play important roles in medicine and healthcare. In our Lab (Intelligent Image Processing Lab), we constructed computational abdominal atlas and developed advanced computer-aided detection/diagnosis (CAD) and surgery support systems by combining the atlases with AI and VR. In this keynote, I will talk about current progress and futures of computational anatomy, AI and VR in medical applications.
Prof. Qingli Li received the B.S. and M.S. degrees in computer science and engineering from Shandong University, Jinan, China, in 2000 and 2003, respectively, and the Ph.D. degree in pattern recognition and intelligent system from Shanghai Jiaotong University, Shanghai, China, in 2006. From 2012 to 2013, he was a visiting scholar at Medical Center, Columbia University, New York, USA. He is currently with the Key Laboratory of Polor Materials and Devices, East China Normal University, Shanghai, China. He is the author or coauthor of more than 50 papers published in various international journals and conference proceedings and a Principle Investigator (PI) for the National Natural Science Foundation of China (NSFC) projects. His research interests in biomedical engineering include molecular imaging, biomedical optics, and pattern recognition.
Dr. Zhifu Sun received his medical and pathology training in China and medical informatics training in U.S.A. He practiced surgical pathology for quite some years before switching his focus to genetics, genomics and bioinformatics fields. For the past 15 years he has worked on genetic and molecular epidemiology of lung cancer and applications of bioinformatics and data sciences to medical research and precision medicine, particularly in cancer molecular marker identification, outcome prediction and epigenomics. His recent focus expands to large and heterogeneous data integration, utilization of medical record and image data for personalized medicine. Currently, he is a Consultant and Associate Professor in the Department of Health Science Research and the Associate Director of Bioinformatics Core at Mayo Clinic, Rochester, Minnesota. He has over 110 peer-reviewed publications, with many in high impact journals such as Lancet Oncology, JCO, Cancer Research, Arch Intern Med, Ann Oncol, Bioinformatics and Genomics.