行知论坛224:Intelligent Computing, Big Data, and Modern Medicine and Health Care

时间:2019-10-20浏览:190设置

报告题目: Intelligent Computing, Big Data, and Modern Medicine and Health Care

报 告 人: Danny Ziyi Chen(陈子仪)教授 (美国圣母大学), IEEE Fellow and ACM Distinguished Scientist

报告时间: 20191021日 上午09 : 30

报告地点: 计算机学院3003

邀 请 人: 张功萱 教授

主办单位: 计算机学院,国交院


报告摘要:

Computer technology plays an important role in modern medicine, healthcare, and life sciences, especially in medical imaging, human genome study, clinical diagnosis and prognosis, treatment planning and optimization, treatment response evaluation and monitoring, and medical data management and analysis.  As computer technology rapidly evolves, computer science solutions will inevitably become an integral part of modern medicine and healthcare.  Computational research and applications on modeling, formulating, solving, and analyzing key problems in medicine and healthcare are not only critical, but are actually indispensable

Recently emerging deep learning (DL) techniques have achieved remarkably high quality results for many computer vision tasks, such as disease classification, object detection, and medical image segmentation, substantially improving traditional image processing methods. In this talk, we present a large set of new results and methods in the area of intelligent medicine and healthcare. We address various problems in medical imaging (in both radiology and pathology) and radiation treatment planning, and develop new deep learning and optimization approaches for tackling these problems. In particular, we show multiple examples to illustrate that the joint force of medical researchers and practitioners with computer science and engineering researchers is highly critical and even necessary for making new medical discoveries and solving key medical problems.


个人简历:

Dr. Danny Z. Chen (陈子仪)received the B.S. degrees in Computer Science and in Mathematics from the University of San Francisco, California, USA in 1985, and the M.S. and Ph.D. degrees in Computer Science from Purdue University, West Lafayette, Indiana, USA in 1988 and 1992, respectively. He has been on the faculty of the Department of Computer Science and Engineering, the University of Notre Dame, Indiana, USA since 1992, and is currently a Professor with tenure.  Dr. Chen's main research interests include computational biomedicine, biomedical imaging, computational geometry, algorithms and data structures, machine learning, data mining, and VLSI.  He has worked extensively with biomedical researchers and practitioners, published over 130 journal papers and 220 peer-reviewed conference papers in these areas, and holds 6 US patents for technology development in computer science and engineering and biomedical applications. He received the CAREER Award of the US National Science Foundation (NSF) in 1996, a Laureate Award in the 2011 Computerworld Honors Program for developing “Arc-Modulated Radiation Therapy” (a new radiation cancer treatment approach), and the 2017 PNAS Cozzarelli Prize of the US National Academy of Sciences. He is a Fellow of IEEE and a Distinguished Scientist of ACM.






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