2019 4th International Conference on
Biomedical Signal and Image Processing
- Submission Deadline: Before June 20, 2019
- Notification of Acceptance: On July 05, 2019
- Registration Deadline: Before July 20, 2019
- Conference Date: August 13-14, 2019
- Academic Visit and Tour: August 15, 2019
Authors can attend the conference with paper publication or without publication. For paper publication, full paper should be submitted. For presentation only, abstract should be submitted.
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: "The State-of-the-Art of AI-aided Diagnosis in Medical Imaging"
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 artificial intelligence (AI) technology including deep learning advances the development and improving performance of CAD to the next stage, sometimes called as AI-CAD. In this talk, the state-of-the-art of AI-CAD and issues to be solved will be reviewed and discussed.
Prof. Bairong Shen
Sichuan University, China
Bairong Shen is Professor & Executive Director General in Institutes for Systems Genetics, West China Hospital, Sichuan University. He received his Ph.D. in Chemistry from Fudan University in 1997. Dr. Shen was appointed as associate professor of Physical Chemistry at Fudan University in 1999, for his accomplishments in theoretical and computational surface chemistry focused on chemical reactions catalyzed by metals and alloys by ab initio and semi-empirical quantum mechanical methods. In the early 2000s, Dr. Shen started his new exploration into biomedical informatics and related computational biology in his postdoctoral research in the University of Tampere, Finland. His success in the new paradigm of biological research won him a competitive faculty position in the European university as an assistant professor of Bioinformatics since 2004. He joined the Soochow University by founding the University’s Center for Systems Biology in 2008. In Finland and China, Dr. Shen has taught more than ten different courses in biomedical informatics and systems biology and published more than 100 peer-reviewed articles in competitive journals which covered the medical genetic areas including cancer-marker development and medical informatics and the basic exploration in physics, chemistry, biology and computational science. His recent researches focus on Biomedical informatics and Systems Biology of complex diseases. He has been actively involving in initiating and organizing international and national scientific collaborations, conferences and publication in his area.
Speech Title: "Ontologies for Biomedical Data Sharing and Mining in the Era of Personalized Healthcare"
Abstract: The developing of 5G wireless network will further promote the biomedical big data paradigm and make the personalized and active healthcare practical. But the sharing and mining of big data still has lots of challenges. I will talk about the state-of-the-art of biomedical ontology and discuss the future integrative ontologies based data analysis and applications, introduce theories, models for the understanding of these diverse biomedical big data including genomic and phenotype data, lifestyle data and complex diseases by our researches and discuss the future developing of modern biomedical informatics, emphasizing the biomedical ontologies development and participatory medicine; evolutionary medicine and network robustness or vulnerability; physiological and sensor informatics; N-of-1 studies and systems health, etc.
Prof. Hyoungseop Kim
Kyushu Institute of Technology, Japan
Prof. Hyoungseop Kim received his B.A. degree in electrical engineering from Kyushu Institute of Technology in 1994, the Masters and Ph.D. degree from Kyushu Institute of Technology in 1996 and 2001, respectively. He is a professor in the department of control engineering at Kyushu Institute of Technology. His research interests are focused on medical application of image analysis.
Speech Title: "A Computer Aided Diagnosis Method for Identification of Rheumatoid Arthritis on CR Images"
Abstract: With the aging of the population in Japan, patients with osteoporosis are increasing year by year. Because there is a prediction that the number of patients will increase due to the progress of aging society in the future, counterplan is socially important. On the other hand, although diagnostic imaging is effective for osteoporosis, many symptoms similar to osteoporosis are also present. In visual screening on osteoporosis, since it is very difficult to read an enormous number of images and interpret the affected part of osteoporosis accurately from each image, much screening time are required and the burden on interpreting doctors is concerned. To solve this problem, we are working on a computer-aided diagnosis (CAD) system for osteoporosis. In this study, we propose some segmentation methods of the phalange region from the phalange CR images and classification of osteoporosis based on machine techniques. In this talk, I will introduce a CAD system and its usefulness with some experimental results.