中科院计算所视觉信息处理与学习组
中科院计算所视觉信息处理与学习组


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【学术报告】西门子医疗技术中心周少华首席图像分析专家于4月23日来访实验室

发表日期:2018-04-23      点击击数: 456

报告题目:Machine Learning + Knowledge: Medical Image

Recognition, Segmentation and Parsing

时间:4月23日上午09:30~11:00

地点:计算所446会议室


报告摘要:

The "Machine learning + Knowledge" approaches, which combine machine

learning with domain knowledge, enable us to achieve start-of-the-art

performances for many tasks of medical image recognition, segmentation

and parsing. In this talk, we first present real success stories of such

approaches. Then, we proceed to elaborate deep learning, a special, mighty

type of machine learning method, and its use in medical imaging. We

conjecture that deep learning approaches, when fused with knowledge,

often achieve better performance than those without knowledge fusion.


报告人简介:

Dr. S. Kevin Zhou was a Principal Key Expert of Image Analysis at Siemens

Healthcare Technology, dedicated to researching and developing innovative

solutions for medical and industrial imaging products. His research interests

lie in computer vision and machine learning and their applications to medical

image recognition and parsing, face recognition and modeling, etc. Dr. Zhou

has published over 150 book chapters and peer-reviewed journal and

conference papers, has registered over 250 patents and inventions, has

written two research monographs, and has edited three books. His two most

recent books are entitled "Medical Image Recognition, Segmenation and

Parsing: Machine Learning and Multiple Object Approaches, SK Zhou (Ed.)"

and "Deep Learning for Medical Image Analysis, SK Zhou, H Greenspan, DG

Shen (Eds.).

" He has won multiple awards honoring his publications, patents

and products, including Thomas Alva Edison Patent Award (2013), R&D 100

Award or Oscar of Invention (2014), Siemens Inventor of the Year (2014),

and UMD ECE Distinguished Aluminum Award (2017). He has been an

associate editor for IEEE Trans Medical Imaging and Medical Image Analysis

journals, an area chair for CVPR and MICCAI, a co-Editor-in Chief for wechat

public journal The Vision Seeker, and elected as a fellow of American

Institute of Biological and Medical Engineering (AIMBE).


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