More ICCAI 2019

Important Date

Before March 10, 2020
Submission Deadline
On March 25, 2020
Notification of Acceptance
On April 05, 2020
Registration Deadline
On April 23-25, 2020
Conference Dates
On April 26, 2020
Academic Visit

Latest News

Mar. 28, 2020 News!
Prof. Tuan D. Pham will deliver an Invited Talk about "Deep Learning of Very Short Time Series Using Fuzzy Recurrence Plots" in ICCAI 2020. 
Mar. 18, 2020 News!
Prof. Yiu-ming Cheung will deliver a Keynote Talk about "How to Perform Clustering in the Data Imbalance Environment" in ICCAI 2020. 
Mar. 10, 2020 News!
Prof. Hiroshi Fujita will deliver a Keynote Talk about "The Ultimate Guide to AI in Medical Imaging" in ICCAI 2020. 
Feb. 25, 2020 News!
ICCAI 2020 is changed into online meeting and the submission deadline is extended to March 10, 2020.
Sept. 04, 2019 News!
ICCAI 2020 papers will be published in ACM Conference Proceedings (978-1-4503-7708-9).

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Invited Speakers

Invited Speaker I

Prof. Tuan D. Pham
Prince Mohammad Bin Fahd University, Saudi Arabia

Tuan D. Pham currently holds positions as Research Professor and Director of the Center for Artificial Intelligence at Prince Mohammad Bin Fahd University, Al Khobar, Saudi Arabia. The Center is co-funded by the Saudi Aramco. He held previous positions as Professor of Biomedical Engineering at Linköping University, Sweden; Professor and Leader of the Aizu Research Cluster for Medical Engineering and Informatics, Head of the Medical Image Processing Laboratory at the University of Aizu, Japan; and the Bioinformatics Research Group Leader, the School of Engineering and Information Technology, the University of New South Wales, Australia. His teaching and research span across several disciplines of computer science and engineering. His current research areas include artificial intelligence, image processing, time series, nonlinear dynamics, novel methods in pattern recognition and machine learning applied to medicine, physiology, biology, and health. He has been actively serving as Section Editor and Associate Editor of several international journals, conference chair, keynote speaker, and invited speaker. Dr. Pham has been internationally recognized by his peers as a highly prolific scientist. Most recently Dr. Pham has originally introduced the concepts of fuzzy recurrence plots and networks for nonlinear data analysis and scalable deep learning of time series.

Speech Title: "Deep Learning of Very Short Time Series Using Fuzzy Recurrence Plots"

Abstract: This talk presents a recently developed technique for increasing feature dimensions of very short time series for effective machine training and classification using long short-term memory (LSTM) neural networks. The generated feature dimensions capture useful attributes of dynamical systems for information processing carried out by an LSTM layer architecture. Applications of the deep learning of very short time series using fuzzy recurrence plots for differentiating early Parkinson’s disease subjects from healthy controls are illustrated and discussed. The presented approach is promising for using real-time data obtained from sensors and wearable devices to detect and monitor patients with neurodegenerative disease. This work was featured in News release by EurekAlert! at the American Association for the Advancement of Science (AAAS), and Post on Parkinson's News Today.

Invited Speaker II

Dr. Chao He
Shanghai MicroPort Medical (Group) Co., Ltd., China

Doctor Chao He, Ph.D. of Mechatronics Engineering, is the Senior Director of Shanghai MicroPort Medical (Group) Co., Ltd. who is responsible for the medical robotic business, as well as the General Manager of MicroPort (Shanghai) MedBot Co., Ltd, the director of Shanghai minimally invasive surgical robot research center, the member of National Standards Committee of Medical Robotics, the member of Health Protection branch of the Ministry of Human Resources and Social Security of People's Republic of China, the master’s students supervisor of Shanghai University of Technology. Dr. He has been launching his study in the field of surgical robotics systems since 2007. Dr. He once worked at John Hopkins University and once worked in China Academy of Space Technology, focused on the research of space robotics and medical robotics. During his professional career, Dr. He has published 10 international papers, got 16 authorizations of national invention patent. He has been applying for 40 national invention patents and 9 PCT patents as well.

Speech Title: "Development and the Forecast of Surgical Robots"

Abstract: Surgical robots are multidisciplinary systems that integrate medicine, mechanics, automation, computers, and artificial intelligence. Since the birth of surgical robot technology, it has shown great clinical application value, not only on the improvement of surgical accuracy and quality, but also enhances the safety and reduces the dependence on doctors' operation skills. More importantly, surgical robot technology combines the powerful information processing capacity and judgment with doctors’ abundant experience, enables humans to integrate various digital surgical diagnosis information, computer-aid judgment and monitoring in realizing real-time surgical evaluation or restriction for the first time, thus greatly expanding the doctor's vision and ability in operation and bringing the surgery development to a new stage. Therefore, robot-aid technology is regarded as the 3rd surgical revolution. This report will focus on the most important application - robotic minimally invasive surgery, fully interpret the development history, current research progress and the future prospects of surgical robots.