第2届医学影像与计算机辅助诊断国际学术峰会

医疗科技正在迎来一个全新的时代,医学图像领域技术逐渐成熟的同时,也在探索中出现了新的问题和新的研究方向。MICAD的目的是为医学图像领域的学者提供最前沿的学术交流平台,将行业与学术相结合,促进该领域的发展与应用。会议聚焦于医学图像领域前沿研究与实践,邀请国际知名专家就医学图像处理、医疗机器人、计算机视觉、人工智能,以及影像与临床医学、基础医学深度交叉的突破性进展做大会主题报告和特邀报告。本次会议还特别设置圆桌论坛,与顶级学者探讨新冠疫情下,医学图像技术面临的机遇与挑战,并有学术海报分享。权威观点将在此发声,前沿的技术与应用也将在此得到分享。

首届MICAD于2020年1月20-21日在英国牛津成功举办,并于同年8月22-23日在由上海市经济与信息化委员会指导、中国科学院上海高等研究院主办的上海人工智能大会中成功举办其夏季论坛(MICAD Summer Forum)。第二届MICAD2021将于2021年3月25-26日在英国伯明翰举办,同时将以线上会议形式全球同步直播。

【会议日期】2021年3月25-26日
【会议地点】在线
【论文出版】施普林格
【检索机构】EI-Compendex, SCOPUS, ISI Proceedings
【征稿主题】包括但不限于:医学影像;图像处理;计算机辅助诊断;图像识别;人机交互;图像信息;数字模拟;机器学习;人工智能;大数据及云计算;生物医学在成像方面的应用;

出版检索

会务组与Springer达成多次出版合作,检索稳定。第一届MICAD会议论文集已经被出版检索。本次会议经同行专家评审后录用并注册的文章,将安排在Springer 论文集 《Lecture Notes in Electrical Engineering (LNEE)》(ISSN: 1876-1100) 出版,并收录在Springer link中,最终提交至EI、ISI Proceedings、SCOPUS、WoS等主要检索数据库。

演讲嘉宾

Prof. Alejandro F Frangi

英国利兹大学
IEEE Fellow, SPIE Fellow
Diamond Jubilee Chair in Computational Medicine;
Royal Academy of Engineering Chair in Emerging Technologies

Professor Frangi is Diamond Jubilee Chair in Computational Medicine at the University of Leeds, Leeds, UK, with joint appointments at the School of Computing and the School of Medicine. He leads the CISTIB Center for Computational Imaging and Simulation Technologies in Biomedicine. He has been awarded a Royal Academy of Engineering Chair in Emerging Technologies (2019-2029).

Prof. Joseph M. Reinhardt

美国爱荷华大学
IEEE Fellow, AIMBE Fellow,
Image Analysis Group Leader Iowa Institute for Biomedical Imaging
VIDA Diagnostics联合创始人
Dr. Reinhardt is a fellow of the Institute of Electrical and Electronic Engineers (IEEE) and a fellow of the American Institute of Medical and Biological Engineering (AIMBE). His research interests are in the area of medical image processing, with a special emphasis on pulmonary imaging. Dr. Reinhardt has received research support from the National Institutes of Health, National Science Foundation, the Roy J. Carver Charitable Trust, and the Whitaker Foundation. Dr. Reinhardt, together with colleagues from The University of Iowa, founded VIDA Diagnostics, an Iowa-based medical imaging software company that focuses on computer-aided diagnosis and image-guided interventions for lung disease.

Prof. Yu-dong Zhang

University of Leicester, United Kingdom

Prof. Yu-Dong Zhang received his PhD degree from Southeast University in 2010. He worked as a postdoc from 2010 to 2012 in Columbia University, USA, and as an assistant research scientist from 2012 to 2013 at Research Foundation of Mental Hygiene (RFMH), USA. He served as a full professor from 2013 to 2017 in Nanjing Normal University, where he was the director and founder of Advanced Medical Image Processing Group in NJNU. Now he serves as Professor in Department of Informatics, University of Leicester, UK. He was included in “Most Cited Chinese researchers (Computer Science)” by Elsevier from 2014 to 2018. He was the 2019 recipient of “Highly Cited Researcher” by Web of Science. He won “Emerald Citation of Excellence 2017” and “MDPI Top 10 Most Cited Papers 2015”. He was included in "Top Scientist" in Guide2Research. He published over 160 papers, including 16 “ESI Highly Cited Papers”, and 2 “ESI Hot Papers”. His citation reached 10096 in Google Scholar, and 5362 in Web of Science. He is the fellow of IET (FIET), and the senior members of IEEE and ACM. He is the editor of Scientific Reports, IEEE Transactions on Circuits and Systems for Video Technology, etc. He served as the (leading) guest editor of Information Fusion, Neural Networks, IEEE Transactions on Intelligent Transportation Systems, etc. He has conducted many successful industrial projects and academic grants from NSFC, NIH, Royal Society, and British Council.

Dr. Han Liu

Shenzhen University, China

Dr.Liu is currently a Research Associate in Big Data Institute of Shenzhen University, China. He has previously been a Research Associate in the School of Computer Science and Informatics at the Cardiff University and the School of Computing at the University of Portsmouth. He received a BSc in Computing from University of Portsmouth in 2011, an MSc in Software Engineering from University of Southampton in 2012, and a PhD in Machine Learning from University of Portsmouth in 2015. He has published two research monographs in Springer and over 60 papers in areas such as data mining, machine learning and intelligent systems.

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CMT系统投稿:https://cmt3.research.microsoft.com/MICAD2021
邮箱投稿: cfp@micad.org

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