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Shuo Wang
Basic Medical Sciences
Fudan University
Shanghai
Language: Chinese, English
Medical Imaging
Artificial Intelligence
Deep Learning
Image Segmentation
Cardiac Mri
Neural Networks
Biophysical Modeling
Pandemic Dynamics
Bayesian Updating
Covid-19
Areas of Focus
- Intelligent Medical Image Analysis
- Biophysical Modeling of Biological Systems
Work Experience
- 2021.03-Present - Fudan University - Junior Researcher at Digital Medicine Research Center
- 2018.10-2019.03 - University of Cambridge - Postdoctoral Researcher at Department of Mathematics
- 2019.04-2021.02 - Imperial College London - Postdoctoral Researcher at Data Science Institute
Academic Background & Achievements
- 2010.09-2014.07 Bachelor: Fudan University, Department of Mechanics and Engineering Science
- 2014.10-2018.09 PhD: University of Cambridge, Department of Radiology
Publications
- Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation, Shuo Wang*, Chen Qin, Nicoló Savioli, Chen Chen, Declan P O'Regan, Stuart A. Cook, Yike Guo, Daniel Rueckert, Wenjia Bai, 2021
- A Bayesian Updating Scheme for Pandemics: Estimating the Infection Dynamics of COVID-19, Shuo Wang#, Xian Yang#, Ling Li, Philip Nadler, Rossella Arcucci, Yuan Huang, Zhongzhao Teng, Yike Guo*, 2020
- A Population-Based Phenome-Wide Association Study of Cardiac and Aortic Structure and Function, Wenjia Bai*, Hideaki Suzuki, Jian Huang, Catherine Francis, Shuo Wang, Giacomo Tarroni, Florian Guitton, Nay Aung, Kenneth Fung, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Evangelos Evangelou, Abbas Dehghan, Declan P. O’Regan, Martin R. Wilkins, Yike Guo, Paul M. Matthews, Daniel Rueckert, 2020
- Deep Generative Model-based Quality Control for Cardiac MRI Segmentation, Shuo Wang*, Giacomo Tarroni, Chen Qin, Yuanhan Mo, Chengliang Dai, Chen Chen, Ben Glocker, Yike Guo, Daniel Rueckert, Wenjia Bai, 2020
- Influence of Overlapping Pattern of Multiple Overlapping Uncovered Stents on the Local Mechanical Environment: A Patient-Specific Parameter Study, Shuo Wang, Yongxue Zhang, Jiaxuan Feng, Yuan Huang, Aziz Tokgoz, Umar Sadat, Jonathan H. Gillard, Qingsheng*, Zhongzhao Teng*, 2017
Awards
- 2021: Shanghai High-Level Talent Program
- 2020: Second Place in Global Brain Tumor Image Analysis Challenge (BraTS20)
- 2019: Second Place in Global Brain Tumor Image Analysis Challenge (BraTS19)
- 2018: Best Report at the Annual Meeting of the Chinese Life Science Society in the UK (CLSS-UK)
