Shuo Wang, PhD

Shuo Wang, PhD

Principal Investigator,
Shanghai Medical College,
Fudan University

Short Bio

I am a Young Principal Investigator (Associate Professor) at Digital Medical Research Center, School of Basic Medical Sciences, Fudan University. I am also affiliated with Data Science Institute, Imperial College London as a Honorary Senior Research Fellow.

Previously, I worked as a Research Associate at Data Science Institute, Imperial College London (2019-2021) and Centre for Mathematical Sciences, University of Cambridge (2018-2019). I received my PhD degree in Radiology from University of Cambridge (2018) and BSc degree in Theoretical and Applied Mechanics from Fudan University (2014).

Research Interest

My research lies at the interface between medical image analysis and modelling of biological systems. In particular, I am interested in developing efficient algorithms for real-world clinical applications and large-scale population studies.

Keywords: Medical Image Analysis, Biomechanics, AI for Multi-Modal Medicine

News

  • Aug 2024 - One paper on renal tumor shape irregularity in collaboration with Department of Radiology, Zhongshan Hospital was published @eClinicalMedicine.
  • July 2024 - Three papers were accepted by @MICCAI’24.
  • July 2024 - One paper on data-efficient medical image segmentation in collaboration with Imperial College London was published @MedIA.
  • July 2024 - Invited as Associate Editor for @BioMedical Engineering OnLine.
  • June 2024 - We released CMRxRecon24 dataset and preprint boosting universal machine learning for accelerated cardiac MRI.
  • June 2024 - Our CMRxRecon23 dataset paper was published @Scientific Data.
  • May 2024 - Our work on small renal mass assessment in collaboration with Department of Radiology, Zhongshan Hospital was published @Radiology.
  • May 2024 - One paper on cardiac MRI super-resolution in collaboration with Yantai University was published @MedIA.
  • Apr 2024 - Our work on weakly supervised semantic segmentation SeCo was accepted by @CVPR’24.
  • Apr 2024 - CMRxRecon23 challenge paper prepreint was released.
More News
  • Feb 2024 - One paper on test-time medical image segmentation in collaboration with Nanjing University of Science and Technology was published @MedIA.
  • Jan 2024 - Our dataset paper on newborn ear shape in collaboration with Fudan Eye and ENT Hospital was published @Scientific Data.
  • Jan 2024 - One paper on generative cardiac modelling in collaboration with Imperial College London was published @IEEE TMI.
  • Oct 2023 - One paper on computational pathlogy was accepted by @ICCV’23.
  • Oct 2023 - Two papers in collaboration with Nanjing University of Science and Technology was accepted by MICCAI workshops.
  • Sept 2023 - Our work on anatomical prior-informed MAE was published @Frontiers in Medicine.
  • Sept 2023 - We released CMRxRecon23 dataset and preprint for accelerated cardiac MRI.
  • May 2023 - CMRxRecon23 Challenge launched.
  • Mar 2023 - One paper on smartphone app for better bowel preparation before colonoscopy in collaboration with Endoscopy Center, Zhongshan Hospital published @npj Digital Medicine.
  • Jan 2023 - One paper on transformer-based cardiac MRI reconstruction in collaboration with Yantai University was published @MedIA.
  • Dec 2022 - We released FPPD-13 dataset and preprint for false positive suppression during computer-aided polyp detection in real-world colonoscopy.
  • Dec 2022 - Our work on automatic PET/CT quality assessment in collaboration with Department of Nuclear Medicine, Zhongshan Hospital was published @EJNMMI.
  • Dec 2022 - Our work on generative myocardial motion tracking in collaboration with Imperial College London was published @MedIA.
  • Nov 2022 - One paper on mammogram classification in collaboration with University of Cambridge was published @MedIA.
  • Oct 2022 - CMRxMotion Challenge released final rankings @MICCAI’22 STACOM.
  • Oct 2022 - Two papers in collaboration with Imperial College London were accepted by MICCAI workshops.
  • Oct 2022 - Experimental work on material properties of thoracic aortic aneurysms in collaboration with University of Cambridge was published @Journal of Biomechanical Engineering.
  • Aug 2022 - One paper on adversarial MR data augmentation in collaboration with Imperial College London was published @MedIA.
  • July 2022 - Experimental work on material properties of aortic dissection in collaboration with University of Cambridge and Beijing Institute of Technology was published @Acta Biomaterialia.
  • Apr 2022 - CMRxMotion Challenge launched.
  • Apr 2022 - One paper on suggestive annotation for brain MRI in collaboration with Imperial College London was published @MedIA.
  • Feb 2022 - Our work on Bayesian data assimilation for Rt estimation in collaboration with Imperial College London was published @PLOS Computational Biology.
  • Jan 2022 - Our work on zero-pressure shape estimation of vascular tissues in collaboration with University of Cambridge was published @Journal of Biomechanics.
  • Dec 2021 - One paper on patient-specific FSI analysis for bicuspid aortic valve in collaboration with University of Cambridge and Fuwai Hospital was published @Journal of Biomechanics.