Lei Li

Lei Li is a post-doc in the Institute of Biomedical Engineering at University of Oxford.

 She received her PhD degree from the School of Biomedical Engineering, Shanghai Jiao Tong University in 2021 and obtained the SJTU 2021 Outstanding Doctoral Graduate Development Scholarship. During her PhD, she was a visiting PhD student at Fudan University and King’s College London, respectively. She received her bachelor’s degree in Department of Medical Information Engineering, Sichuan University, in 2016.

Her research interest is AI for healthcare. Specifically, she is focusing on developing advanced AI models for cardiac image computing, multi-modal fusion, and cardiac digital twins. She has already published more than 40 papers in peer-reviewed journals and interregnal 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) and Editorial Board Member of the Journal of Medical Artificial Intelligence. She has been selected 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.

• Medical image processing
• LGE MRI analysis for atrial fibrillation
• Cardiac imaging analysis
• AI for Healthcare
• Multimodal AI
• Atrial fibrillation
• Cardiac Digital Twins
• Medical Image Analysis
• Computational Cardiology

Cardiovascular Image Analysis

1. Lei Li*, Wangbin Ding, Liqin Huang, Xiahai Zhuang^#, Vicente Grau^#: Multi-Modality Cardiac Image Computing: A Survey, Medical Image Analysis, 88, 102869, 2023.
2. Lei Li, et al.: MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images, Medical Image Analysis, vol. 87, 102808, 2023.
3. Lei Li, Veronika A Zimmer, Julia A Schnabel, Xiahai Zhuang*: AtrialJSQnet: A New Framework for Joint Segmentation and Quantification of Left Atrium and Scars Incorporating Spatial and Shape Information, Medical Image Analysis, vol. 76, 102303, 2022.
4. Lei Li, Fuping Wu, Guang Yang, Lingchao Xu, Tom Wong, Raad Mohiaddin, David Firmin, Jenny Keegan, Xiahai Zhuang*: Atrial Scar Quantification via Multi-Scale CNN in the Graph-Cuts Framework, Medical Image Analysis, vol. 60, 101595, 2020.
5. 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, 77, 102360, 2022.
6. Lei Li*^#, Julia Camps^#, Zhinuo (Jenny) Wang, Abhirup Banerjee, Blanca Rodriguez, Vicente Grau: Influence of Myocardial Infarction on QRS Properties: A Simulation Study, Functional Imaging and Modeling of the Heart, 223–232, 2023.
7. Lei Li, Veronika A Zimmer, Julia A Schnabel, Xiahai Zhuang*: AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-Center LGE MRIs, Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th International Conference, Strasbourg, France, 5557-566, 2021.
8. Lei Li, Xin Weng, Julia A Schnabel, Xiahai Zhuang*: Joint Left atrial Segmentation and Scar Quantification based on a DNN with Spatial Encoding and Shape Attention. Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd International Conference, Lima, Peru, 118-127, 2020.
9. Xiahai Zhuang*, Lei Li*, et al: Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge, Medical Image Analysis, vol. 58, 101537, 2019.
10. Xiahai Zhuang* et al., Lei Li*: Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge, Medical Image Analysis, vol. 81, 102528, 2022

Undergraduate Teaching

1. “Biomedical Image Analysis” (Demonstrator: ~3 hours per week; Weeks 6-8 of Trinity Term 2023)
2. “Information Engineering Systems” (Demonstrator: ~12 hours per week including providing undergraduate with guidance, feedback, and marking; Weeks 7-8 of Hilary Term 2023)
3. “Biomedical Image Analysis” (Demonstrator: ~3 hours per week; Weeks 6-8 of Trinity Term 2022)

Postgraduate Teaching

1. “Medical Imaging, Microscopy and Analysis” for CDT (Demonstrator: ~5 hours per week; Weeks 5-6 of Hilary Term 2023)
2. “Medical Imaging, Microscopy and Analysis” for CDT (Demonstrator: ~5 hours per week; Weeks 5-6 of Hilary Term 2022)

• 2023-07-18: “Towards Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference” at Multi-scale & Multi-modality Digital Health Collaboration Workshop supported by the Alan Turing Institute. (London, UK)
• 2023-06-10: “Artificial Intelligence in Cardiac Image Computing and Modeling” at Nankai University. (online)
• 2023-02-15: “Artificial Intelligence in Cardiac Image Computing and Modeling” at University College London. (London, UK)
• 2022-12-08: “Domain Generalization and Distributed Learning for Left Atrial Segmentation from Multi Center LGE MRI” at Turing workshop on Human-AI Interaction in Bio-Medicine. (Oxford, UK)
• 2022-09-18: “Deep Computational Model for the Inference of Ventricular Activation Properties” at STACOM 2022. (Singapore)
• 2022-04-04: “Left Atrial LGE MRI Computing for Atrial Fibrillation Studies” at MICS China. (online)
• 2021-09-27: “Right Ventricular Segmentation from Short- and Long-Axis MRIs via Information Transition” at STACOM 2021.  (online)

Organiser

LAScarQS 2022 Challenge (194 multi-center LGE MRI released; 80+ registrations)

MyoPS 2020 Challenge (45 pre-aligned multi-sequence CMR released; 80+ registrations)

MS-CMRSeg 2019 Challenge (45 multi-sequence CMR released; 120+ registrations)

MM-WHS 2017 Challenge (120 multi-modality cardiac data released; 400+ registrations)

Board Member

Secretary of Women in MICCAI 2023-2025

Public Outreach Officer of Women in MICCAI 2021-2023

Editorial Board Member of Journal of Medical Artificial Intelligence (JMAI)

Editorial Board Member of Medical Image Computing Symposium (MICS) Research Newsletter.

Reviewer

Medical Image Analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Medical  Imaging, IEEE Transactions on Biomedical Engineering, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, Neurocomputing, Neural Networks, Information Fusion, Computer Methods and Programs in Biomedicine, Computers i

• 2023: The Rising Star of Women in Engineering – Asian Deans’ Forum 2023
• 2023: IEEE TMI Distinguished Reviewer – Gold Level (2022-2023)
• 2022: IEEE TMI Distinguished Reviewer – Bronze Level (2020-2022)
• 2022: SJTU 2021 Outstanding Doctoral Graduate Development Scholarship
• 2019: Best Poster Award in the 2019 International Conference on Data Science (FBDC)