Differentiation of pre-ablation and post-ablation late gadolinium-enhanced cardiac MRI scans of longstanding persistent atrial fibrillation patients. - Guang Yang 006; Xiahai Zhuang; Habib Khan; Shouvik Haldar; Eva Nyktari; Lei Li 020; Xujiong Ye; Gregory G. Slabaugh; Tom Wong; Raad Mohiaddin; Jennifer Keegan; David N. Firmin (Computer-Aided Diagnosis, 2017)

Multi-atlas propagation based left atrium segmentation coupled with super-voxel based pulmonary veins delineation in late gadolinium-enhanced cardiac MRI. - Guang Yang 006; Xiahai Zhuang; Habib Khan; Shouvik Haldar; Eva Nyktari; Lei Li 020; Xujiong Ye; Greg G. Slabaugh; Tom Wong; Raad Mohiaddin; Jennifer Keegan; David N. Firmin (Image Processing, 2017)

Fully Automatic Segmentation and Objective Assessment of Atrial Scars for Longstanding Persistent Atrial Fibrillation Patients Using Late Gadolinium-Enhanced MRI. - Guang Yang 006; Xiahai Zhuang; Habib Khan; Shouvik Haldar; Eva Nyktari; Lei Li 020; Rick Wage; Xujiong Ye; Greg G. Slabaugh; Raad Mohiaddin; Tom Wong; Jennifer Keegan; et al. (CoRR, 2017)

Left Atrial Segmentation Combining Multi-atlas Whole Heart Labeling and Shape-Based Atlas Selection. - Marta Nuñez Garcia; Xiahai Zhuang; Gerard Sanroma; Lei Li 020; Lingchao Xu; Constantine Butakoff; Oscar Camara 001 (STACOM@MICCAI, 2018)

Atrial Scar Segmentation via Potential Learning in the Graph-Cut Framework. - Lei Li 020; Guang Yang 006; Fuping Wu; Tom Wong; Raad Mohiaddin; David N. Firmin; Jenny Keegan; Lingchao Xu; Xiahai Zhuang (STACOM@MICCAI, 2018)

Bayesian VoxDRN: A Probabilistic Deep Voxelwise Dilated Residual Network for Whole Heart Segmentation from 3D MR Images. - Zenglin Shi; Guodong Zeng; Le Zhang 001; Xiahai Zhuang; Lei Li 020; Guang Yang 006; Guoyan Zheng (MICCAI (4), 2018)

Atrial Fibrosis Quantification Based on Maximum Likelihood Estimator of Multivariate Images. - Fuping Wu; Lei Li 020; Guang Yang 006; Tom Wong; Raad Mohiaddin; David N. Firmin; Jennifer Keegan; Lingchao Xu; Xiahai Zhuang (MICCAI (4), 2018)

Atrial scars segmentation via potential learning in the graph-cuts framework. - Lei Li 020; Fuping Wu; Guang Yang 006; Tom Wong; Raad Mohiaddin; David N. Firmin; Jenny Keegan; Lingchao Xu; Xiahai Zhuang (CoRR, 2018)

Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge. - Xiahai Zhuang; Lei Li 020; Christian Payer; Darko Stern; Martin Urschler; Mattias P. Heinrich; Julien Oster; Chunliang Wang; Örjan Smedby; Cheng Bian; Xin Yang 009; Pheng-Ann Heng; et al. (CoRR, 2019)

Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge. - Xiahai Zhuang; Lei Li 020; Christian Payer; Darko Stern; Martin Urschler; Mattias P. Heinrich; Julien Oster; Chunliang Wang; Örjan Smedby; Cheng Bian; Xin Yang 009; Pheng-Ann Heng; et al. (Medical Image Anal., 2019)

Brain Tumor Segmentation Network Using Attention-Based Fusion and Spatial Relationship Constraint. - Chenyu Liu; Wangbin Ding; Lei Li 020; Zhen Zhang 057; Chenhao Pei; Liqin Huang; Xiahai Zhuang (BrainLes@MICCAI (1), 2020)

Cross-Modality Multi-atlas Segmentation Using Deep Neural Networks. - Wangbin Ding; Lei Li 020; Xiahai Zhuang; Liqin Huang (MICCAI (3), 2020)

Joint Left Atrial Segmentation and Scar Quantification Based on a DNN with Spatial Encoding and Shape Attention. - Lei Li 020; Xin Weng; Julia A. Schnabel; Xiahai Zhuang (MICCAI (4), 2020)

Random Style Transfer Based Domain Generalization Networks Integrating Shape and Spatial Information. - Lei Li 020; Veronika A. Zimmer; Wangbin Ding; Fuping Wu; Liqin Huang; Julia A. Schnabel; Xiahai Zhuang (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

A Multi-task Approach Using Positional Information for Ultrasound Placenta Segmentation. - Veronika A. Zimmer; Alberto Gómez 002; Emily Skelton; Nooshin Ghavami; Robert Wright; Lei Li 020; Jacqueline Matthew; Joseph V. Hajnal; Julia A. Schnabel (ASMUS/PIPPI@MICCAI, 2020)

Atrial scar quantification via multi-scale CNN in the graph-cuts framework. - Lei Li 020; Fuping Wu; Guang Yang 006; Lingchao Xu; Tom Wong; Raad Mohiaddin; David N. Firmin; Jennifer Keegan; Xiahai Zhuang (Medical Image Anal., 2020)

AttU-NET: Attention U-Net for Brain Tumor Segmentation. - Sihan Wang; Lei Li 020; Xiahai Zhuang (BrainLes@MICCAI (2), 2021)

AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-center LGE MRIs. - Lei Li 020; Veronika A. Zimmer; Julia A. Schnabel; Xiahai Zhuang (MICCAI (6), 2021)

Unsupervised Multi-modality Registration Network Based on Spatially Encoded Gradient Information. - Wangbin Ding; Lei Li 020; Liqin Huang; Xiahai Zhuang (STACOM@MICCAI, 2021)

Right Ventricular Segmentation from Short- and Long-Axis MRIs via Information Transition. - Lei Li 020; Wangbin Ding; Liqin Huang; Xiahai Zhuang (STACOM@MICCAI, 2021)

Multi-modality Cardiac Segmentation via Mixing Domains for Unsupervised Adaptation. - Fuping Wu; Lei Li 020; Xiahai Zhuang (STACOM@MICCAI, 2021)

Unsupervised MMRegNet based on Spatially Encoded Gradient Information. - Wangbin Ding; Lei Li 020; Xiahai Zhuang; Liqin Huang (CoRR, 2021)

Right Ventricular Segmentation from Short- and Long-Axis MRIs via Information Transition. - Lei Li 020; Wangbin Ding; Liqun Huang; Xiahai Zhuang (CoRR, 2021)

Multi-Modality Cardiac Image Analysis with Deep Learning. - Lei Li 020; Fuping Wu; Sihang Wang; Xiahai Zhuang (CoRR, 2021)

Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. - Víctor M. Campello; Polyxeni Gkontra; Cristian Izquierdo; Carlos Martín-Isla; Alireza Sojoudi; Peter M. Full; Klaus H. Maier-Hein; Yao Zhang 010; Zhiqiang He 002; Jun Ma 016; Mario Parreño; Alberto Albiol; et al. (IEEE Trans. Medical Imaging, 2021)

Decoupling Predictions in Distributed Learning for Multi-center Left Atrial MRI Segmentation. - Zheyao Gao; Lei Li 020; Fuping Wu; Sihan Wang; Xiahai Zhuang (MICCAI (1), 2022)

Deep Computational Model for the Inference of Ventricular Activation Properties. - Lei Li 020; Julià Camps; Abhirup Banerjee; Marcel Beetz; Blanca Rodríguez; Vicente Grau (STACOM@MICCAI, 2022)

Unsupervised Cardiac Segmentation Utilizing Synthesized Images from Anatomical Labels. - Sihan Wang; Fuping Wu; Lei Li 020; Zheyao Gao; Byung-Woo Hong; Xiahai Zhuang (STACOM@MICCAI, 2022)

Multi-Modality Cardiac Image Computing: A Survey. - Lei Li 020; Wangbin Ding; Liqun Huang; Xiahai Zhuang; Vicente Grau (CoRR, 2022)

NU-net: An Unpretentious Nested U-net for Breast Tumor Segmentation. - Gongping Chen; Lei Li 020; Yu Dai 002; Jianxun Zhang 002 (CoRR, 2022)

AtrialJSQnet: A New framework for joint segmentation and quantification of left atrium and scars incorporating spatial and shape information. - Lei Li 020; Veronika A. Zimmer; Julia A. Schnabel; Xiahai Zhuang (Medical Image Anal., 2022)

Medical image analysis on left atrial LGE MRI for atrial fibrillation studies: A review. - Lei Li 020; Veronika A. Zimmer; Julia A. Schnabel; Xiahai Zhuang (Medical Image Anal., 2022)

AWSnet: An auto-weighted supervision attention network for myocardial scar and edema segmentation in multi-sequence cardiac magnetic resonance images. - Kai-Ni Wang; Xin Yang 009; Juzheng Miao; Lei Li 020; Jing Yao; Ping Zhou; Wufeng Xue; Guang-Quan Zhou; Xiahai Zhuang; Dong Ni 001 (Medical Image Anal., 2022)

Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. - Xiahai Zhuang; Jiahang Xu; Xinzhe Luo; Chen Chen 042; Cheng Ouyang; Daniel Rueckert; Víctor M. Campello; Karim Lekadir; Sulaiman Vesal; Nishant Ravikumar; Yashu Liu 003; Gongning Luo; et al. (Medical Image Anal., 2022)

Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label Fusion. - Wangbin Ding; Lei Li 020; Xiahai Zhuang; Liqin Huang (IEEE J. Biomed. Health Informatics, 2022)

3D Shape-Based Myocardial Infarction Prediction Using Point Cloud Classification Networks. - Marcel Beetz; Yilong Yang 004; Abhirup Banerjee; Lei Li 020; Vicente Grau (EMBC, 2023)

Influence of Myocardial Infarction on QRS Properties: A Simulation Study. - Lei Li 020; Julià Camps; Zhinuo J. Wang; Abhirup Banerjee; Blanca Rodríguez; Vicente Grau (FIMH, 2023)

Multi-Target Landmark Detection with Incomplete Images via Reinforcement Learning and Shape Prior. - Kaiwen Wan; Lei Li 020; Dengqiang Jia; Shangqi Gao; Wei Qian; Yingzhi Wu; Huandong Lin; Xiongzheng Mu; Xin Gao; Sijia Wang; Fuping Wu; Xiahai Zhuang (CoRR, 2023)

Towards Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference. - Lei Li 020; Julià Camps; Zhinuo J. Wang; Abhirup Banerjee; Marcel Beetz; Blanca Rodríguez; Vicente Grau (CoRR, 2023)

MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images. - Lei Li 020; Fuping Wu; Sihan Wang; Xinzhe Luo; Carlos Martín-Isla; Shuwei Zhai; Jianpeng Zhang; Yanfei Liu; Zhen Zhang 057; Markus J. Ankenbrand; Haochuan Jiang; Xiaoran Zhang; et al. (Medical Image Anal., 2023)

MyoPS-Net: Myocardial pathology segmentation with flexible combination of multi-sequence CMR images. - Junyi Qiu; Lei Li 020; Sihan Wang; Ke Zhang; Yinyin Chen; Shan Yang; Xiahai Zhuang (Medical Image Anal., 2023)

Self-supervised speech denoising using only noisy audio signals. - Jiasong Wu; Qingchun Li; Guanyu Yang 001; Lei Li 020; Lotfi Senhadji; Huazhong Shu (Speech Commun., 2023)

AAU-Net: An Adaptive Attention U-Net for Breast Lesions Segmentation in Ultrasound Images. - Gongping Chen; Lei Li 020; Yu Dai 002; Jianxun Zhang 002; Moi Hoon Yap (IEEE Trans. Medical Imaging, 2023)

Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge. - Carlos Martín-Isla; Víctor M. Campello; Cristian Izquierdo; Kaisar Kushibar; Carla Sendra-Balcells; Polyxeni Gkontra; Alireza Sojoudi; Mitchell J. Fulton; Tewodros Weldebirhan Arega; Kumaradevan Punithakumar; Lei Li 020; Xiaowu Sun; et al. (IEEE J. Biomed. Health Informatics, 2023)

Multi-modality cardiac image computing: A survey. - Lei Li 020; Wangbin Ding; Liqin Huang; Xiahai Zhuang; Vicente Grau (Medical Image Anal., 2023)

Multi-target landmark detection with incomplete images via reinforcement learning and shape prior embedding. - Kaiwen Wan; Lei Li 020; Dengqiang Jia; Shangqi Gao; Wei Qian; Yingzhi Wu; Huandong Lin; Xiongzheng Mu; Xin Gao; Sijia Wang; Fuping Wu; Xiahai Zhuang (Medical Image Anal., 2023)

Rethinking the unpretentious U-net for medical ultrasound image segmentation. - Gongping Chen; Lei Li 020; Jianxun Zhang 002; Yu Dai 002 (Pattern Recognit., 2023)

Aligning Multi-Sequence CMR Towards Fully Automated Myocardial Pathology Segmentation. - Wangbin Ding; Lei Li 020; Junyi Qiu; Sihan Wang; Liqin Huang; Yinyin Chen; Shan Yang; Xiahai Zhuang (IEEE Trans. Medical Imaging, 2023)

Deep Combined Computing of Vascular Images with Tubular Shape-Guided Convolution. - Zilong Wang; Xinyang Ge; Xiaorong Chen; Lei Li 020; Wangbin Ding; Yuanye Liu; Fuping Wu; Dengqiang Jia (ShapeMI@MICCAI, 2024)

Solving the Inverse Problem of Electrocardiography for Cardiac Digital Twins: A Survey. - Lei Li 020; Julià Camps; Blanca Rodríguez; Vicente Grau (CoRR, 2024)

Personalized Topology-Informed 12-Lead ECG Electrode Localization from Incomplete Cardiac MRIs for Efficient Cardiac Digital Twins. - Lei Li 020; Hannah J. Smith; Yilin Lyu; Julià Camps; Blanca Rodríguez; Abhirup Banerjee; Vicente Grau (CoRR, 2024)

DeepSPV: An Interpretable Deep Learning Pipeline for 3D Spleen Volume Estimation from 2D Ultrasound Images. - Zhen Yuan; David Stojanovski; Lei Li 020; Alberto Gómez 002; Haran Jogeesvaran; Esther Puyol-Antón; Baba Inusa; Andrew P. King (CoRR, 2024)

Segment anything model for medical images? - Yuhao Huang 001; Xin Yang 009; Lian Liu; Han Zhou; Ao Chang; Xinrui Zhou; Rusi Chen; Junxuan Yu; Jiongquan Chen; Chaoyu Chen; Sijing Liu; Haozhe Chi; et al. (Medical Image Anal., 2024)

Toward Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference. - Lei Li 020; Julià Camps; Zhinuo Jenny Wang; Marcel Beetz; Abhirup Banerjee; Blanca Rodríguez; Vicente Grau (IEEE Trans. Medical Imaging, 2024)

Contrast-Free Myocardial Scar Segmentation in Cine MRI using Motion and Texture Fusion. - Guang Yang 006; Jingkun Chen; Xicheng Sheng; Shan Yang; Xiahai Zhuang; Betty Raman; Lei Li 020; Vicente Grau (ISBI, 2025)

3D cardiac shape analysis with variational point cloud autoencoders for myocardial infarction prediction and virtual heart synthesis. - Marcel Beetz; Abhirup Banerjee; Lei Li 020; Julià Camps; Blanca Rodríguez; Vicente Grau (Comput. Medical Imaging Graph., 2025)

Personalized topology-informed localization of standard 12-lead ECG electrode placement from incomplete cardiac MRIs for efficient cardiac digital twins. - Lei Li 020; Hannah J. Smith; Yilin Lyu; Julià Camps; Shuang Qian; Blanca Rodríguez; Abhirup Banerjee; Vicente Grau (Medical Image Anal., 2025)

DeepSPV: A deep learning pipeline for 3D spleen volume estimation from 2D ultrasound images. - Zhen Yuan; David Stojanovski; Lei Li 020; Alberto Gómez 002; Haran Jogeesvaran; Esther Puyol-Antón; Baba Inusa; Andrew P. King (Medical Image Anal., 2025)

An Automated Computational Pipeline for Generating Large-Scale Cohorts of Patient-Specific Ventricular Models in Electromechanical In Silico Trials. - Rubén Doste; Julià Camps; Zhinuo Jenny Wang; Lucas Arantes Berg; Maxx Holmes; Hannah J. Smith; Marcel Beetz; Lei Li 020; Abhirup Banerjee; Vicente Grau; Blanca Rodríguez (CoRR, 2025)

Large Language Model-Informed ECG Dual Attention Network for Heart Failure Risk Prediction. - Chen Chen 042; Lei Li 020; Marcel Beetz; Abhirup Banerjee; Ramneek Gupta; Vicente Grau (IEEE Trans. Big Data, 2025)

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR. - Wangbin Ding; Lei Li 020; Junyi Qiu; Bogen Lin; Mingjing Yang; Liqin Huang; Lianming Wu; Sihan Wang; Xiahai Zhuang (CoRR, 2025)

Personalized 4D Whole Heart Geometry Reconstruction from Cine MRI for Cardiac Digital Twins. - Xiaoyue Liu; Xicheng Sheng; Xiahai Zhuang; Vicente Grau; Mark YY Chan; Ching-Hui Sia; Lei Li 020 (CoRR, 2025)