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【医学部学术讲座】——Images are more than nice pictures: Quantitative

文章来源: 作者: 发布时间:2018年10月22日 点击数: 字体:

主讲嘉宾:Chuan Huang Ph. D. Director of PET/MR Clinical Research, Assistant Professor of Radiology, Psychiatry; Stony Brook Medicine

时间:   2018年10月26日下午 15:00 – 17:30

地点:   深圳大学校西丽校区A2-701

主持人:   高毅

报告内容简介:

In contrast to the traditional practice of treating medical images primarily as pictures for visual interpretation, the development of quantitative imaging including radiomics has been pushing the boundary of extracting useful data from medical images. Such data have been shown to be useful in diagnosis, prognosis, treatment selection. Moreover, the recent development of machine learning has been shown to be extremely useful in the field of medical imaging. In this talk, we will discuss the applications of quantitative imaging and machine learning in cancer research including bench, preclinical and clinical research.

主讲嘉宾简介:

Dr. Chuan Huang is an Assistant Professor of Radiology and Psychiatry, Director of PET/MR Clinical Research. He is also affiliated with Computer Science and Biomedical Engineering. He graduated from University of Arizona in 2012, Majored in Mathematics, and then joined Massachusetts General Hospital - Harvard Medical School as a postdoctoral fellow. In 2014, he was promoted to Instructor in Harvard Medical School and joined Stony Brook as Assistant Professor in the same year. He has received awards including Society of Nuclear Medicine and Molecular Imaging Young Investigator Honorable Mention (2 times),Brain and Behavior Research Foundation (aka NARSAD) Young Investigator Award. He is a committee member of ISMRM Education Committee. His Medical Image Research & Analysis (MIRA) lab currently has 3 PhD students and has published 8 journal publications so far this year.

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