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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Supported by

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. He served as a member of the “cultivation of human resources in the information science field” WG, Special Coordination Funds for the Promotion of Science and Technology, MEXT, a member of “Committee for Comport 3D Fundamental Technology Promotion”, JEITA, and the General Conference Chair of the 43rd Annual Meeting of Japanese Society of Biofeedback Research, ICBBE2018, and DMIP2018. He received Laval Virtual Awards in 2009, 2013, and 2014.

Speech Title:"Measurement of Eye Movement Using a Small Camera Installed Roughly next to the Human Eye"

Abstract: An innovative method will be introduced in this talk, which enables the user to measure both eye-tracking and eye rotation using a small camera installed roughly next to the eye (not to obstruct user’s view) by a single imaging technique. Even at night or in such a bright environment of light that the evening sun streams into horizontally, our proposed system works robustly and stably. Our technique is capable of enabling the advanced function to be achieved as described above, which is not found in any other systems in the whole world.

Plenary Speaker I

Prof. Qijun Zhao
Sichuan University, China

Qijun Zhao is currently a 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 recent research interests lie in 3D face modeling and recognition, with applications to forensics, intelligent video surveillance, mobile security, healthcare, and human-computer interactions. Dr. Zhao has published more than 60 papers in academic conferences and journals, including CVPR, ECCV, AAAI, ICB, IEEE Trans., and PR. He is the principal investigator for two projects funded by NSFC, one project funded by the National Key Research and Development Program of China, and many projects funded by companies. Dr. Zhao is a reviewer for many renowned field journals and conferences, such as IEEE TPAMI, IEEE TIFS, IJCV, PR, PRL, ICCV, CVPR, ECCV, and FG. He served as a program committee co-chair in organizing the 11th Chinese Conference on Biometric Recognition (CCBR 2016), the 2018 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA), and the 2018 6th International Conference on Bioinformatics and Computational Biology (ICBCB 2018), and as a face recognition area co-chair for the 9th IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS 2018).

Speech Title:"3D Face Reconstruction in Recognition Perspective"

Abstract: The face reveals a lot of information of humans, for example, identity, race, gender, age, emotion, intention, and health. 3D face models are thus widely studied in many disciplines. Yet, acquisition of 3D faces is still much more expensive and less convenient than acquisition of 2D face images, making it unaffordable to deploy 3D face technology in many real-world applications. Our research aims to reconstruct 3D face shapes from either single or multiple uncalibrated 2D face images from a perspective of identity recognition. This talk will introduce our recent progress along this direction. The methods we propose enable not only efficient generation of 3D face models when only 2D imaging devices are available, but also effective exploration of 3D face information for improving face recognition accuracy. We believe that 3D faces will play increasingly important roles in many applications with the rapid development of both 3D face acquisition techniques and 3D face modeling methods.