Publications

*: 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, 2024. Link, Code

  • 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

  • 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)

  • 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. (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)

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, Zeyao 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, 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