Qr code
login BUPT 中文
Zhou Ruixi

讲师(高校)
Supervisor of Master's Candidates


Gender:Female
Alma Mater:University of Virginia
Education Level:研究生毕业
Degree:博士学位
Status:在职
School/Department:Department of Artificial Intelligence
Business Address:Mingguang Building, Beijing University of Posts and Telecommunications
Contact Information:ruixizhou@bupt.edu.cn
E-Mail:
Honors and Titles: 2022elected:Overseas Chinese Society for Magnetic Resonance in Medicine Young Investigator Award 2021elected:ISMRM magna cum laude 2020elected:ISMRM magna cum laude 2019elected:American Heart Association Predoctoral Fellowship
Click: times

Opening Time:..

The Last Update Time:..

Personal Profile

Ruixi Zhou, graduated from the University of Virginia with a Ph.D. and a master's degree from Washington University in St. Louis. Presided over one project approved by the National Natural Youth Fund (in research), one project funded by the American Heart Association (finished), and has participated in several projects funded by the National Institutes of Health and the Wallace Coulter Foundation A number of projects (finished) on rapid imaging of various modalities of cardiac MRI. Participated in the top magnetic resonance imaging conferences to give reports and conduct exchanges and discussions. In the past five years, she has published 13 journal and conference papers as the first author. Her research results have won the 2022 Overseas Chinese Society for Magnetic Resonance in Medicine (OCSMRM) Young Researcher Award and many Excellent conference paper awards. The research interests lie in the use of basic science to solve clinical problems with the aim of using imaging techniques to help diagnose and predict human disease. Currently, the main research directions include magnetic resonance imaging, medical image processing and intelligent medical treatment. 

Specific research areas include but are not limited to:

Cardiovascular MR

MRI pulse sequence development

Non-Cartesian MRI

Image reconstruction

Compressed Sensing

Signal processing

Structural Imaging

Quantitative Imaging

Deep learning

Image classification

Image segmentation


Educational Experience

  • 2016.8 -- 2021.5

    University of Virginia       biomedical engineering       Postgraduate (Doctoral)       Doctoral Degree in Philosophy      Department of Biomedical Engineering | Salerno Lab

  • 2014.8 -- 2016.5

    Washington University in St. Louis       biomedical engineering       Master's Degree       Master's Degree in Science      Department of Biomedical Engineering | Attention & Brain Recovery Lab

  • 2010.8 -- 2014.6

    Northeastern University       biomedical engineering       Undergraduate (Bachelor’s degree)       Bachelor's Degree in Engineering      Sino-Dutch Biomedical and Information Engineering School

Work Experience

  • 2021.7 -- Now

    Beijing University of Posts and Telecommunications      Department of Artificial Intelligence      在职

Social Affiliations

  • 2022.2 -- Now

    SCMR、ISMRM conferences invited session moderator

Other Contact Information:

  • email :

Research Group

Intelligent Perception and Computing Center

Research Focus

  • Intelligent Healthcare
  • Magnetic Resonance Imaging
  • Medical Image Processing