Research Interests

Dr Li Lei’s research sits at the intersection of engineering and clinical medicine. His work focuses on:

• AI for Healthcare
• Cardiac Digital Twins
• Medical Imaging
• Multimodal AI

Selected Awards

• 2024: IEEE TMI Distinguished Reviewer – Gold Level (2023-2024)
• 2024: 2nd Prize of Shanghai Science and Technology Award (Natural Science Award)
• 2024: Featured Woman in Science at RSIP Vision
• 2023: The Rising Star of Women in Engineering – Asian Deans’ Forum 2023
• 2022: SJTU 2021 Outstanding Doctoral Graduate Development Scholarship

Selected Journal Publications

• Lei Li*, Julia Camps, et al. Towards Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference. IEEE Transactions on Medical Imaging, 43 (7), 2466-2478, 2024.
• Lei Li*, Wangbin Ding, et al. Multi-Modality Cardiac Image Computing: A Survey. Medical Image Analysis, vol. 88, 102869, 2023.
• Lei Li#, Fuping Wu#, Sihang Wang#, et al. MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images. Medical Image Analysis, vol. 87, 102808, 2023.
• Lei Li, Veronika A Zimmer, Julia A Schnabel, Xiahai Zhuang*. Medical Image Analysis on Left Atrial LGE MRI for Atrial Fibrillation Studies: A Review. Medical Image Analysis, vol. 77, 102360, 2022.
• Chen Chen*, Lei Li, Marcel Beetz, Abhirup Banerjee, Vicente Grau. Large Language Model-informed ECG Dual Attention Network for Heart Failure Risk Prediction. IEEE Transactions on Big Data, 2024.
• Xiahai Zhuang*, Lei Li*, et al. Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study. Medical Image Analysis, vol. 81, 102528, 2022.

Collaborations

View more details on our local and international collaborations here.