2018 3rd International Conference on
Biomedical Signal and Image Processing
- Submission Deadline: Before July 05, 2018
- Notification of Acceptance: On July 20, 2018
- Registration Deadline: Before July 30, 2018
- Conference Date: August 22-23, 2018
- One Day Visit: August 24, 2018
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.
- Department of Statistics, SNU
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: "Current Status and Future of Computer-Aided Diagnosis (CAD) in Clinical Imaging 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 future of AI-CAD will be explained and discussed.
Prof. Taesung Park
Seoul National University, South Korea
Prof. Taesung Park received his B.S. and M.S. degrees in Statistics from Seoul National University (SNU), Korea in 1984 and 1986, respectively and received his Ph.D. degree in Biostatistics from the University of Michigan in 1990. From Aug. 1991 to Aug. 1992, he worked as a visiting scientist at the NIH, USA. From Sep. 2002 to Aug. 2003, he was a visiting professor at the University of Pittsburgh. From Sep. 2009 to Aug. 2010, he was a visiting professor in Department of Biostatistics at the University of Washington. From Sep. 1999 to Sep. 2001, he worked as an associate professor in Department of Statistics at SNU. Since Oct. 2001 he worked as a professor and currently the Director of the Bioinformatics and Biostatistics Lab. at SNU. He served as the chair of the bioinformatics Program from Apr. 2005 to Mar. 2008, and the chair of Department of Statistics of SNU from Sep. 2007 and Aug. 2009. He has served editorial board members and associate editors for the international journals including Genetic Epidemiology, Computational Statistics and Data Analysis, Biometrical Journal, and International journal of Data Mining and Bioinformatics. His research areas include microarray data analysis, GWAS, gene-gene interaction analysis, and statistical genetics.
Speech Title: "Hierarchical Structural Components Models for High Dimensional Omics Data"
Abstract: Identification of good biomarkers is one of the most challenging issues in personalized medicine era. Although many methods have been developed to identify candidate biomarkers using only the omics data available, it is well known that the use of biological hierarchical information would increase of the power of identifying biomarkers. We proposed hierarchical structural components models (HisCoM) for taking into account the hierarchical structure of biological data. In our earlier work, HisCoM was shown to perform well by considering the hierarchical structure of genetic variants, genes and pathway. We extended HisCoM for the analysis of miRNA and mRNA data. We show that HisCoM can successfully take into account the hierarchical inhibition relationship between one miRNA and multiple mRNAs. In real data analysis, our HisCoM successfully identified more informative miRNA-mRNA integration sets for survival time of pancreatic cancer patients, compared to the other existing methods. Through this application to pancreatic cancer data, our proposed model was shown to effectively identify integrated miRNA/target mRNA sets as markers for prognosis, providing a much broader biological interpretation.
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: “Computer Aided Diagnosis Based on Pattern Recognition Technique”
For reducing the load to radiologist and improving of detection accuracy, a CAD (Computer Aided Diagnosis) system is expected from medical fields. In the medical image processing fields, some related works are reported to develop the CAD system as helpful technical issues. In this talk, I will introduce why CAD is required in medical field. Then I would like to some CAD systems for supporting to radiologists based on pattern recognition techniques.
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 chairman of the 43rd Annual Meeting of Japanese Society of Biofeedback Research.
Speech Title: “Simultaneous Estimation of the Line-of-Sight and Rotational Eye Movement”
The line-of-sight, which rotates around the x or y axis, provides information on what and how long a person gazes at. In addition, this measurement is expected to be effective in screening schizophrenia and dementia, as well as identifying patients with sick-house syndromes and drug addicts. Moreover, the other hand, the biometry of the eye rotational movement, where the eyeball rotates around the z axis, is expected to be useful in detecting and quantifying visually-induced motion sickness, 3D sickness, car sickness, dizziness, discomfort, sudden development of poor physical condition, and so on. To meet these expectations, the author has developed a method focusing on the images of blood vessels in the white part of the eye (the conjunctiva and the sclera), where the blood vessel images are tracked to estimate simultaneously both the sight-line direction and the eye rotational movement with high accuracy. The method enables the sight-line direction and the eye rotational movement to be separately quantified with high accuracy in the environment, for instance, where gravitational acceleration may affect the human visual system, as seen in car driving, or in the condition where sight-line tracking is performed with the head or the body trunk tilted, as seen in playing sports.