*: corresponding author; #: equal contribution
2024
Book/Chapter
- Lei Li#, Fuping Wu#, Sihang Wang#, Xiahai Zhuang#: Multi-Modality Cardiac Image Analysis with Deep Learning, Deep Learning for Medical Image Analysis, 2nd Edition, 2024. Link
Journal/Conference Paper
Lei Li*, Julia Camps, Zhinuo (Jenny) Wang, Marcel Beetz, Abhirup Banerjee, Blanca Rodriguez, Vicente Grau: 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. Link, Code
Zilong Wang, Xinyang Ge, Xiaorong Chen, Lei Li, Wangbin Ding, Yuanye Liu, Fuping Wu, and Dengqiang Jia*: Deep Combined Computing of Vascular Images with Tubular Shape-Guided Convolution, The 4th MICCAI Workshop on Shape in Medical Imaging, 2024.
Yuhao Huang#, Xin Yang#, Lian Liu, Han Zhou, Ao Chang, Xinrui Zhou, Rusi Chen, Junxuan Yu, Jiongquan Chen, Chaoyu Chen, Sijing Liu, Haozhe Chi, Xindi Hu, Kejuan Yue, Lei Li, Vicente Grau, Deng-Ping Fan, Fajin Dong*, Dong Ni*: Segment Anything Model for Medical Images, Medical Image Analysis, vol 92, 103061, 2024. Link
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. Link
Zhen Yuan*, David Stojanovski, Lei Li, Alberto Gomez, Haran Jogeesvaran, Esther Puyol-Antón, Baba Inusa, Andrew P. King: DeepSPV: An Interpretable Deep Learning Pipeline for Spleen Volume Estimation from 2D Ultrasound Images, Medical Image Analysis, 2024. (under review)
Marcel Beetz#, Abhirup Banerjee#, Lei Li, Julia Camps, Blanca Rodriguez, Vicente Grau: 3D Cardiac Shape Analysis with Variational Point Cloud Autoencoders for Myocardial Infarction Prediction and Virtual Heart Synthesis, Medical Image Analysis, 2024. (under review)
Lei Li*, Julia Camps, Blanca Rodriguez, Vicente Grau: Solving the Inverse Problem of Electrocardiography for Cardiac Digital Twins: A Survey, IEEE Reviews in Biomedical Engineering, 2024. (under review) Link
Lei Li*, Hannah Smith, Yilin Lyu, Julia Camps, Abhirup Banerjee, Blanca Rodriguez, Vicente Grau: Personalized Topology-Informed 12-Lead ECG Electrode Localization from Incomplete Cardiac MRIs for Efficient Cardiac Digital Twins, Medical Image Analysis, 2024. (under review) link
2023
Book/Chapter
- Xiahai Zhuang, Lei Li, Sihang Wang, Fuping Wu: Left Atrial and Scar Quantification and Segmentation, LNCS 13586, First Challenge, LAScarQS 2022, Held in Conjunction with MICCAI 2022, Singapore, Peru, September 18, 2022, 2023. Link
Journal/Conference Paper
Lei Li*, Wangbin Ding, Liqin Huang, Xiahai Zhuang#, Vicente Grau#: Multi-Modality Cardiac Image Computing: A Survey, Medical Image Analysis, vol. 88, 102869, 2023. Link
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. Link
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. Link
Junyi Qiu, Lei Li, Sihan Wang, Ke Zhang, Yinyin Chen, Shan Yang, Xiahai Zhuang*: MyoPS-Net: Myocardial Pathology Segmentation with Flexible Combination of Multi-Sequence CMR Images, Medical Image Analysis, vol. 84, 102694, 2023. Link
Wangbin Ding, Lei Li, Junyi Qiu, Sihan Wang, Liqin Huang, Yinyin Chen, Shan Yang, Xiahai Zhuang*: Aligning Multi-Sequence CMR Towards Fully Automated Myocardial Pathology Segmentation, IEEE Transactions on Medical Imaging, 42(12), 3474-3486, 2023. Link
Kaiwen Wan, Lei Li, Dengqiang Jia, Shangqi Gao, Wei Qian, Yingzhi Wu, Huandong Lin, Xiongzheng Mu, Xin Gao, Sijia Wang, Fuping Wu, Xiahai Zhuang*: Multi-Target Landmark Detection with Incomplete Images via Reinforcement Learning and Shape Prior, Medical Image Analysis, vol. 89, 102875, 2023. Link
Gongping Chen, Lei Li, JianXun Zhang, Yu Dai*: Rethinking the Unpretentious U-Net for Medical Ultrasound Image Segmentation, Pattern Recognition, vol. 142, 109728, 2023. Link
Gongping Chen, Lei Li, Yu Dai, Jianxun Zhang, Moi Hoon Yap*: AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound Images, IEEE Transactions on Medical Imaging, 42(5), 1289-1300, 2023. Link
Sihan Wang, Fuping Wu, Lei Li, Zheyao Gao, Byung-Woo Hong, Xiahai Zhuang*: Unsupervised Cardiac Segmentation Utilizing Synthesized Images from Anatomical Labels, STACOM, 2023. Link
Marcel Beetz#, Yilong Yang#, Abhirup Banerjee, Lei Li, Vicente Grau: 3D Shape-based Myocardial Infarction Prediction using Point Cloud Classification Networks, 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2023. Link
Carlos Martín-Isla, … , Lei Li, et al.: Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge, IEEE Journal of Biomedical and Health Informatics, 27(7), 3302-3313, 2023. Link
2022
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. Link
Lei Li*, Julia Camps, Abhirup Banerjee, Marcel Beetz, Blanca Rodriguez, Vicente Grau: Deep Computational Model for the Inference of Ventricular Activation Properties, STACOM, 369-380, 2023. Link
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. Link, Code
Zheyao Gao, Lei Li, Fuping Wu, Sihan Wang, Xiahai Zhuang*: Decoupling Predictions in Distributed Learning for Multi-Center Left Atrial MRI Segmentation, MICCAI, 517–527, 2022. Link,Code
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. Link
Wangbin Ding, Lei Li, Xiahai Zhuang*, Liqin Huang*: Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label Fusion, Journal of Biomedical and Health Informatics, 26(7), 3104-3115, 2022. Link, Code
Kaini Wang#, Xin Yang#, Juzheng Miao, Lei Li, Jing Yao, Ping Zhou, Wufeng Xue, Guangquan Zhou, Xiahai Zhuang*, Dong Ni*: AWSnet: An Auto-weighted Supervision Attention Network for Myocardial Scar and Edema Segmentation in Multi-sequence Cardiac Magnetic Resonance Images, Medical Image Analysis, vol. 77, 102362, 2022. Link
Jiahang Xu, Qian Xu, Shihong H Liu, Ling Li, Lei Li, Tzu-Chen Yen, Jianjun Wu, Jian Wang, Chuantao Zuo, Ping Wu, Xiahai Zhuang*: Computer-Aided Classification Framework of Parkinsonian Disorders Using 11 C-CFT PET Imaging, Frontiers in Aging Neuroscience, 2022. Link
Sihan Wang, Lei Li, Xiahai Zhuang*: AttU-NET: Attention U-Net for Brain Tumor Segmention, International MICCAI Brainlesion Workshop, 302-311, 2022. Link
2021
Lei Li, Veronika A Zimmer, Julia A Schnabel, Xiahai Zhuang*: AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-Center LGE MRIs, MICCAI, 557–566, 2021. Link, Video
Lei Li#, Wangbin Ding#, Liqun Huang, Xiahai Zhuang*: Right Ventricular Segmentation from Short-and Long-Axis MRIs via Information Transition, STACOM, vol. 13131, 259-267, 2022. Link, Video, Code
Víctor M Campello*, …, Lei Li, et al.: Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge, IEEE Transactions on Medical Imaging, 9458279, 2021. Link
Wangbin Ding, Lei Li, Xiahai Zhuang*, Liqin Huang*: Unsupervised Multi-Modality Registration Network Based on Spatially Encoded Gradient Information, STACOM, vol. 13131, 151-159, 2021. Link, Code
Fuping Wu, Lei Li, Xiahai Zhuang*: Multi-Modality Cardiac Segmentation via Mixing Domains for Unsupervised Adaptation. STACOM, vol. 13131, 179-188, 2021. Link
2020
Book/Chapters
- Xiahai Zhuang, Lei Li (editor): Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images. LNCS 167-176, Springer Nature, 2020. Link
Journal/Conference Paper
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. Link, Code
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. MICCAI, 118-127, 2020. Link, Video, Code
Lei Li, Veronika A Zimmer, Wangbin Ding, Fuping Wu, Liqin Huang, Julia A Schnabel, Xiahai Zhuang*: Random Style Transfer based Domain Generalization Networks Integrating Shape and Spatial Information. STACOM, 2020. Link, Code
Wangbin Ding, Lei Li, Xiahai Zhuang*, Liqin Huang*: Cross-Modality Multi-Atlas Segmentation Using Deep Neural Networks. MICCAI, 233-242, 2020. Link, Code
Veronika A Zimmer*, Alberto Gomez, Emily Skelton, Nooshin Ghavami, Robert Wright, Lei Li, Jacqueline Matthew, Joseph V. Hajnal, Julia A. Schnabel: A Multi-Task Approach Using Positional Information for Ultrasound Placenta Segmentation: Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 264-273, 2020. Link
Chenyu Liu, Wangbin Ding, Lei Li, Zhen Zhang, Chenhao Pei, Liqin Huang, and Xiahai Zhuang*: Brain Tumor Segmentation Network Using Attention-Based Fusion and Spatial Relationship Constraint. International MICCAI Brainlesion Workshop, 219-229, 2020. Link
2019
- 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. Link
2018
Lei Li, Guang Yang, Fuping Wu, Tom Wong, Raad Mohiaddin, David Firmin, Jenny Keegan, Lingchao Xu, Xiahai Zhuang*: Atrial Scarring Segmentation via Potential Learning in the Graph-Cut Framework. STACOM, 152-160, 2018. Link
Fuping Wu, Lei Li, Guang Yang, Tom Wong, Raad Mohiaddin, David Firmin, Jennifer Keegan, Lingchao Xu, Xiahai Zhuang*: Atrial Fibrosis Quantification based on Maximum Likelihood Estimator of Multivariate Images. MICCAI, 604-612, 2018. Link
Guang Yang*, Xiahai Zhuang*, Habib Khan, Shouvik Haldar, Eva Nyktari, Lei Li, Rick Wage, Xujiong Ye, Greg Slabaugh, Raad Mohiaddin, Tom Wong, Jennifer Keegan, David Firmin: Fully Automatic Segmentation and Objective Assessment of Atrial Scars for Longstanding Persistent Atrial Fibrillation Patients Using Late Gadolinium-Enhanced MRI, Medical Physics, 45 (4), 1562-1576, 2018. Link
Zenglin Shi, Guodong Zeng, Le Zhang, Xiahai Zhuang, Lei Li, Guang Yang, and Guoyan Zheng*: Bayesian VoxDRN: A Probabilistic Deep Voxelwise Dilated Residual Network for Whole Heart Segmentation from 3D MR Images. MICCAI, 569-577, 2018. Link
Marta Nunez-Garcia*, Xiahai Zhuang, Gerard Sanroma, Lei Li, Lingchao Xu, Constantine Butako, and Oscar Camara: Left Atrial Segmentation Combining Multi-Atlas Whole Heart Labeling and Shape-based Atlas Selection. STACOM, 302-310, 2018. Link
2017
Guang Yang*, Xiahai Zhuang*, Habib Khan, Shouvik Haldar, Eva Nyktari, Lei Li, Xujiong Ye, Greg Slabaugh, Raad H. Mohiaddin, Tom Wong, Jennifer Keegan, David Firmin: Differentiation of Pre-Ablation and Postablation Late Gadolinium-Enhanced Cardiac MRI Scans of Longstanding Persistent Atrial Fibrillation Patients, SPIE Computer-Aided Diagnosis, 10134-23, 2017. Link
Guang Yang*, Xiahai Zhuang*, Habib Khan, Shouvik Haldar, Eva Nyktari, Lei Li, Xujiong Ye, Greg Slabaugh, Raad H. Mohiaddin, Tom Wong, Jennifer Keegan, David Firmin: Multi-Atlas Propagation based Left Atrium Segmentation Coupled with Super-Voxel based Pulmonary Veins Delineation in Late Gadolinium-Enhanced Cardiac MRI, SPIE Image Processing, 10133-39, 2017. Link
