
Wang, Yi (Assistant Professor) Assistant Professor
School of Biomedical Engineering
Assistant Professor
Department of Medical Information Engineering
School of Biomedical Engineering
Assistant Professor
Department of Medical Information Engineering
BIOGRAPHICAL SKETCH
NAME: Wang, Yi
POSITION TITLE: Assistant Professor, School of Biomedical Engineering, Health Science Center, Shenzhen University
EDUCATION/TRAINING
INSTITUTION AND LOCATION |
DEGREE
|
Completion Date MM/YYYY
|
FIELD OF STUDY
|
---|---|---|---|
Sichuan University, Chengdu, China |
B. Med |
06/2009 |
Biomedical Engineering |
Shenzhen University, Shenzhen, China |
M.Sc. |
06/2012 |
Biomedical Engineering |
The Chinese University of Hong Kong, Hong Kong, China |
Ph.D. |
06/2016 |
Computer Science and Engineering |
The Chinese University of Hong Kong, Hong Kong, China |
Postdoctoral |
05/2017 |
Computer Science and Engineering |
A. Personal Statement
My research interests include medical image computing (especially in medical image registration), medical imaging, computer vision, and machine learning. I have published several papers in the IEEE Transactions on Medical Imaging (TMI) , International Conference on Computer Vision (ICCV), and other high impact journals . I have good relationship with clinical scientists and various research groups, and value practical techniques that can be transferred to clinically applicable systems.
B. Positions and Honors
Positions and Employment
0 6 /2017 – present Assistant Professor, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China
C. Contributions to Science (*: corresponding/co-corresponding author)
A selected list of my publications is enclosed at the end of this document.
1. MR-TRUS Fusion based Targeted Biopsy System
In this project, we aimed to develop a planning, training and intraoperative magnetic resonance (MR) imaging system and real-time transrectal ultrasound (TRUS) images for targeted biopsy guidance to improve the positioning accuracy. The research and development challenges included 3D US-MR image registration for compensating the large and heterogeneous prostate deformation due to the factors of TRUS probe zones, interactive navigation and visualization, and real-time intraoperative guidance requirements. We proposed a non-rigid registration method based on the prior knowledge of the patient-specific biomechanical deformation, and further implemented our registration method using GPU-based acceleration approach to ensure the real-time advantage of our system for intraoperative guidance. Our proposed deformable MR-TRUS registration achieves state-of-the-art performance.
1) Yi Wang, Jie-Zhi Cheng, Dong Ni, Muqing Lin, Jing Qin, Xiongbiao Luo, Ming Xu, XiaoyanXie, Pheng-Ann Heng, Towards Personalized Statistical Deformable Model and Hybrid Point Matching for Robust MR-TRUS Registration, IEEE Transactions on Medical Imaging, 2016, 35(2): 589-604.
2) Yi Wang*, Qingqing Zheng, Pheng-Ann Heng, Online Robust Projective Dictionary Learning: Shape Modelling for MR-TRUS Registration, IEEE Transactions on Medical Imaging, 2017.
D. Research Support
Ongoing Research Support
NSFC (China) (61701312) 01/01/2018 to 12/31/2020
Yi Wang, PI ¥255,000 (direct cost)
Detection of Tumor in Automated Breast Ultrasound based on Weakly Supervised Learning with Progressive Adaptation
E. Peer-reviewed publications (*: corresponding author)
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