数学统计在医学成像及大数据应用的集成方法研讨会(Mathematics and Statistics in Medical Imaging Applications)

2016-12-26 ~ 2016-12-30 831

Synopsis and Organizers

The term “Mathematics and Statistics in Medical Imaging Applications” (MSMIA) is aimed at encompassing a broad array of imaging, mathematical, and statistical methods for the analysis of medical image data. This workshop is motivated by the great need in the analysis of high-dimensional, correlated, and complex imaging data and clinical and genetic data obtained from various cross-sectional and clustered imaging studies. These imaging studies are essential to understanding the neural development of neuropsychiatric and neurodegenerative disorders, substance use disorders, the normal brain and the interactive effects of environmental and genetic factors on brain structure and function.

The workshop seeks to bring together a diverse group of researchers from different disciplines including mathematics, statistics, computer science, biomedical engineering, psychiatry, psychology, neuroscience, and radiology, among other related sciences, to explore the common structure that underlies such methodologies, and to use this knowledge in turn to motivate and synthesize new approaches.

Organizers

Name University
Xiaotong Shen University of Minnesota, USA
Tingting Zhang University of Virginia, USA
Hongtu Zhu UNC-Chapel Hill, USA

Participants 

Hao Chen University of California, Davis, USA
Yuguo Chen University of Illinois at Urbana-Champaign, USA
Jianfeng Feng Fudan University, China&University of Warwick, UK
Wensheng Guo University of Pennsylvania, USA
Jaroslaw Harezlak Indiana University, USA
Feifang Hu George Washington University, USA(&University of Alberta, Canada)
Satish Iyengar Department of Statistics, University of Pittsburgh, USA
Bei Jiang University of Alberta, Canada
Hui Jiang University of Michigan, USA
Tianzi Jiang Institute of Automation, The Chinese Academy of Sciences, China
Timothy D. Johnson University of Michigan, USA
Jian Kang University of Michigan, USA
Xu Ke Peking University, China
Linglong Kong University of Alberta, Canada
Jialiang Li National University of Singapore
Feng Liang University of Illinois at Urbana-Champaign, USA
Xi Luo Brown University, USA
Yingying Ma Beihang University, China
Bin Nan University of Michigan, USA
Jie Peng Department of Statistics, UC-Davis, USA
Anqi Qiu National University of Singapore, Singapore
Peiyong Qu (Annie Qu) University of Illinois at Urbana-Champaign, USA
Haipeng Shen University of Hong Kong
Peter Xuekun Song University of Michigan, USA
Rui Song NC State University, USA
Xinyuan Song Chinese University of Hong Kong
Niansheng Tang Yunnan University, China
Xiaofeng Wang Lerner Research Institute, Cleveland Clinic, USA
Yu-Ping Wang Tulane University, USA
Hulin Wu University of Texas, Houston, USA
Liuqing Yang University of North Carolina at Chapel Hill, USA
Yang Yu University of North Carolina at Chapel Hill, USA
Yufeng Zang "Center for Human Brain Research
Hangzhou Normal University, China"
Anru Zhang University of Wisconsin at Madison, USA
Heping Zhang Yale University, USA
Tingting Zhang University of Virginia, USA
Shurong Zheng Northeast Normal University
Hongtu Zhu UNC-Chapel Hill, USA
Huichen Zhu Columbia University, USA
Yunzhang Zhu The Ohio State University, USA

Schedule

The New Schedule for the Mathematics amd Statitics in Medical Imaging-- Applications and Big Data Integration Workshop.pdf


Tities and Abstracts 

Titles and Abstracts for the Mathematics and Statistics in Medical Imaging Applications and Big Data Integration Workshop.pdf


Last Announcement 

TSIMF Brochure - 2016122630MM.pdf


Group Photos

MSMIA20160201.jpg

MSMIA20160101.jpg

MSMIA20160102.jpg

MSMIA20160202.jpg