Shuo Li, PhD

Associate Professor
Biomedical Engineering
Case School of Engineering, School of Medicine
Associate Professor
Computer Data Science
Case School of Engineering

Research Information

Research Interests

Dr. Shuo Li is an academic artificial intelligence (AI) scientist with a background in machine learning, medical data analytics, imaging, computer science, and software engineering. His current research focuses on the development of image centered AI systems to solve the most challenging clinical and fundamental data analytics problems in radiology, urology, surgery, rehabilitation, and cancer, emphasizing innovations of multiple learning schemes (deep learning, regression learning, reinforcement learning, adversarial learning, sparse learning, spectral learning, manifold learning, and etc.)

Learn more about Shuo Li at Digital Imaging Group of London.


  • Towards Accurate and Robust Domain Adaptation Under Multiple Noisy Environments. R Zhao, X Chen, Z Chen, S Li. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
  • United Adversarial Learning for Liver Tumor Segmentation and Detection of Multi-modality Non-contrast MRI. J Zhao, D Li, X Xiao, F Accorsi, H Marshall, T Cossetto, D Kim, ... Medical Image Analysis 73, 102154, 2022
  • Evaluation and Comparison of Accurate Automated Spinal Curvature Estimation Algorithms with Spinal Anterior-posterior X-Ray Images: The AASCE2019 Challenge. L Wang, C Xie, Y Lin, HY Zhou, K Chen, D Cheng, F Dubost, B Collery, ... Medical Image Analysis, 2022

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