More ICCAI 2019

Important Date

Before February 20, 2019
Submission Deadline
On March 05, 2019
Notification of Acceptance
On March 20, 2019
Registration Deadline
On April 19-21, 2019
Conference Dates
On April 22, 2019
Academic Visit&Tour

Latest News

Jan. 05, 2019 News!
The submission deadline of ICCAI 2019 is extended to Feb. 20, 2019.
Nov. 05, 2018 News!
ICCAI 2019 has gained supports from Udayana University, Indonesia.
Sept. 30, 2018 News!
ICCAI 2019 accepted and registered papers will be published in ACM Conference Proceedings (ISBN: 978-1-4503-6106-4).
Aug. 25, 2018 News!
Prof. Rey-Chue Hwang from I-Shou University, Taiwan will deliver a Plenary Speech in ICCAI 2019.
Jul. 30, 2018 News!
ICCAI 2019 conference website is online and submission is opened.

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Keynote Speakers

Keynote Speaker I

Prof. Hiroshi Fujita
Gifu University, Japan

Prof. Hiroshi Fujita received the B.S. and M.S. degrees in electrical engineering from Gifu University, Japan, in 1976 and 1978, respectively, and Ph.D. degree from Nagoya University in 1983. He became a research associate in 1978 and an associate professor in 1986 at Gifu National College of Technology. He was a visiting researcher at the K. Rossmann Radiologic Image Laboratory, University of Chicago, in 1983-1986. He became an associate professor in 1991 and a professor in 1995 in the Faculty of Engineering, Gifu University. He has been a professor and chair of intelligent image information since 2002 at the Graduate School of Medicine, Gifu University. He is now a Research Professor of Gifu University. He is a member of the Society for Medical Image Information (Honorary President), the Institute of Electronics, Information and Communication Engineers (Fellow), its Technical Groups on Medical Image (Adviser), the Japan Society for Medical Image Engineering (Director), and some other societies such as SPIE. He has been also served as scientific committee or program committee members, such as in International Workshop on Digital Mammography (Breast Imaging), SPIE Medical Imaging, and Computer Assisted Radiology and Surgery (CARS). He was worked as a General co-chair of Asian Forum on Medical Imaging 2007 held in Cheju National University, Korea, and as a General Chair of International Workshop for Breast Imaging (IWDM2014, Gifu). He has also worked as a Guest Editor-in-Chief in Special Section Editorial Committee for Medical Imaging, issued in April, 2013, from IEICE Society in Japan, and also as a Guest Editor-in-Chief in the Special Issue on Advanced Image Technologies in Diagnostic Imaging in 2018 in the Journal of Medical Imaging and Health Informatics. His research interests include computer-aided diagnosis system, image analysis and processing, and image evaluation in medicine. He has published over 1000 papers in Journals, Proceedings, Book chapters and Scientific Magazines.

Speech Title:"Computer-Aided Diagnosis (CAD) for Medical Images in the New Era of Artificial Intelligence (AI)"

Abstract: Computer-aided detection/diagnosis, so-called CAD, is rapidly entering the radiology mainstream. It has already become a part of the routine clinical work especially for the detection of breast cancer with mammograms, in which the computer output is used as a "second opinion" in assisting radiologists' image interpretations. Recent powerful AI technology such as deep learning advances the development and improving performance of CAD to the next stage, sometimes called as AI-CAD. In this talk, current status and issues to be solved in the AI-CAD will be reviewed.

Keynote Speaker II

Prof. Kiyoshi Hoshino
University of Tsukuba, Japan

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.

Plenary Speaker I

Prof. Rey-Chue Hwang
I-Shou University, Taiwan

Prof. Rey-Chue Hwang received his Ph.D. degree in electrical engineering from Southern Methodist University, Dallas, Texas, U.S.A. in year 1993. Currently, he is a full professor and the chair of International Program on Intelligent Control and Automation Engineering of I-Shou University (ISU), Taiwan. Professor Hwang is a fellow of Institution of Engineering and Technology (IET) and a senior member of Institute of Electrical and Electronics Engineers (IEEE). He has published over 300 international conference and peer-reviewed journal papers in the areas of artificial intelligent system, signal processing and fuzzy control. Throughout his professional career, Professor Hwang had served as the chair of Electrical Engineering Department of ISU, the director of General Education Center of ISU, the interim dean of International College of ISU, the vice director of general affairs of Chinese Institute of Electrical Engineering, Kaohsiung Division, the councilor of Chinese Fuzzy Association, the patent referee of Intellectual Property Office, Taiwan, and the research project referee of National Science Council, Taiwan. In year 2004, he chartered IEEE Computational Intelligence Society (CIS) Chapter, Tainan Section and served as the co-chair and chair from year 2004 to year 2009. Furthermore, Professor Hwang was the vice president of the General Education Association of Southern Taiwan Colleges. Now, he is serveing as the evaluation committee of the Higher Education Evaluation and Accreditation Council of Taiwan.

Plenary Speaker II

Assoc. Prof. Qijun Zhao
Sichuan University, China

Assoc. Prof. Qijun Zhao is currently an associate professor in the College of Computer Science at Sichuan University. He obtained his B.Sc. and M.Sc. degrees in computer science both from Shanghai Jiao Tong University, and his Ph.D. degree in computer science from the Hong Kong Polytechnic University. He worked as a post-doc research fellow in the Pattern Recognition and Image Processing lab at Michigan State University from 2010 to 2012. His research interests lie in biometrics, particularly, face perception and affective computing, with applications to intelligent video surveillance, public security, healthcare, and human-computer interactions. Dr. Zhao has published more than 50 papers in academic journals and conferences, and participated in many research projects either as principal investigators or as primary researchers. He is a reviewer for many renowned field journals and conferences. He served as a program committee co-chair in organizing the 11th Chinese Conference on Biometric Recognition (CCBR2016) and the 2018 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA).