About
Dr. Lei Li is a Lecturer at the School of Electronics & Computer Science, University of Southampton. She is interested in developing cutting-edge AI algorithms for medical image analysis, multi-modal fusion, and cardiac digital twins. Her impactful research, reflected in over 40 papers published in esteemed journals and conferences, has earned her recognition as a Rising Star of Women in Engineering by the Asian Deans’ Forum 2023. Dr. Li actively contributes to the academic community as a Board Member of Women in MICCAI (WiM), an Editorial Board Member of the Journal of Medical Artificial Intelligence and a dedicated organizer of several MICCAI challenge events.
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Research
Research interests
- Cardiac Digital Twins
- Medical Image Analysis
- Multi-Modal AI
- Computational Cardiology
Current research
Dr. Lei Li, a Lecturer in the University of Southampton, has led the establishment of the Digital Heart Modelling Lab at Southampton, a pioneering initiative focused on advancing the frontiers of cardiac digital twins – virtual heart models. Leveraging diverse patient datasets encompassing imaging, ECG, and electronic medical records, the lab meticulously models heart anatomy and simulates its function. By integrating machine learning, these models unravel critical mechanistic relationships, providing deep insights into patients' cardiac trajectories. With a core emphasis on methodology development, the lab employs cutting-edge techniques to create anatomical twins, such as constructing computationally efficient 4D personalized cardiac anatomical models from cine MRI data, as well as functional twinning, where it endeavors to develop computationally efficient surrogates for simulation models of complex cardiac activity. The lab will also actively engages in clinical evaluation in hospital, with a particular focus on personalized medicine applications for atrial fibrillation and myocardial infarction. Collaborating with experts from the University of Oxford, Fudan University, Zhongshan Hospital, etc, This multidisciplinary cooperation promises groundbreaking advancements at the intersection of AI and cardiac sciences. It not only redefines our understanding of the human heart but also holds the potential to advance personalized medicine.
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Research groups
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Research interests
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Current research
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Publications
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Supervision
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Teaching
Medical Image Analysis
Biomedical Engineering
Machine Learning and AI
Statistical Modelling and Inference
Bayesian Data Modelling
Data Visualization
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Biography
Dr Lei Li is a Lecturer (Assistant Professor) at the School of Electronics & Computer Science, University of Southampton, UK. Before joining Southampton, She was a Postdoc at the Department of Engineering Science, University of Oxford, UK. She received her PhD degree from the School of Biomedical Engineering, Shanghai Jiao Tong University in 2021 and bachelor’s degree in Department of Medical Information Engineering, Sichuan University, in 2016. During her PhD, she was also a visiting PhD student at Fudan University and King’s College London, respectively.
Her research is about AI for healthcare, specifically focusing on medical image analysis, multi-modal AI, and cardiac digital twins. She has already published more than 40 papers (h-index 17) in peer-reviewed journals and international conferences, including MedIA, IEEE TMI, MICCAI and FIMH. Some of these works have been selected as the most popular cited paper in MedIA and TMI. She is a Board Member of Women in MICCAI (WiM), Editorial Board Member of the Journal of Medical Artificial Intelligence and Guest Editor of Journal of Imaging. She has been selected as the Rising Star of Women in Engineering by Asian Deans’ Forum 2023. She has co-organized four MICCAI challenge events, including LAScarQS 2022, MyoPS 2020, MS-CMRSeg 2019, and MM-WHS 2017. She is a reviewer for many journals and conferences, including MedIA, IEEE TPAMI, IEEE TMI, IEEE TBME, Neurocomputing, Information Fusion, Neural Networks, ISBI, IPMI, MIDL, and MICCAI, etc.
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Prizes
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