2022

1. 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

2. 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

3. Xiahai Zhuang*, Jiahang Xu*, ..., 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.

4. Lei Li*, Julia Camps, Abhirup Banerjee, Marcel Beetz, Blanca Rodriguez, Vicente Grau: Deep Computational Model for the Inference of Ventricular Activation Properties, MICCAI-STACOM, 2022. Link

5. 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, 2022. Code

6. Kaini Wanga#, 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.

7. 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.

8. Zheyao Gao, Lei Li, Fuping Wu, Sihan Wang, Xiahai Zhuang*: Decoupling Predictions in Distributed Learning for Multi-Center Left Atrial MRI Segmentation, MICCAI, 2022.

9. Sihan Wang, Lei Li, Xiahai Zhuang: AttU-NET: Attention U-Net for Brain Tumor Segmention, International MICCAI Brainlesion Workshop*, 302-311, 2022.

10. Lei Li#, Fuping Wu#, Sihang Wang#, et al. …, Xiahai Zhuang*: MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images, Medical Image Analysis, 2022. (under review)

11. Lei Li*, Wangbin Ding, Liqin Huang, Xiahai Zhuang#, Vicente Grau#: Multi-Modality Cardiac Image Computing: A Survey, Medical Image Analysis, 2022. (under review)

12. 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, 2022.

13. 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, 2022. (under review)

2021

Book/Chapter

1. Lei Li#, Fuping Wu#, Sihang Wang#, Xiahai Zhuang#: Multi-Modality Cardiac Image Analysis with Deep Learning, Deep Learning for Medical Image Analysis, 2021. Link (under review)

Journal/Conference Paper

1. 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

2. Lei Li#, Wangbin Ding#, Liqun Huang, Xiahai Zhuang: Right Ventricular Segmentation from Short-and Long-Axis MRIs via Information Transition, MICCAI-STACOM*, vol. 13131, 259-267, 2022. Link, Video, Code

3. Víctor M Campello*, ..., Lei Li, Xiahai Zhuang, ..., Karim Lekadir: Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge, IEEE Transactions on Medical Imaging, 9458279, 2021. Link

4. Wangbin Ding, Lei Li, Xiahai Zhuang, Liqin Huang: Unsupervised Multi-Modality Registration Network Based on Spatially Encoded Gradient Information, MICCAI-STACOM, 151-159, 2022. Link, Code

5. Fuping Wu, Lei Li, Xiahai Zhuang: Multi-Modality Cardiac Segmentation via Mixing Domains for Unsupervised Adaptation. MICCAI-STACOM*, vol. 13131, 179-188, 2022.

2020

Book/Chapters

1. 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

1. 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

2. 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

3. 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. MICCAI-STACOM, 2020. Link, Code

4. Wangbin Ding, Lei Li, Xiahai Zhuang*, Liqin Huang*: Cross-Modality Multi-Atlas Segmentation Using Deep Neural Networks. MICCAI, 233-242, 2020. Link, Code

5. 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

6. 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.

2019

1. 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

1. 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. MICCAI-STACOM, 152-160, 2018. Link

2. 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

3. 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

4. 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

5. 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. MICCAI-STACOM, 302-310, 2018. Link

2017

1. 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

2. 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