A Novel Multi-stage 3D Medical Image Segmentation: Methodology and Validation. - Jianfeng Xu; Lixu Gu; Xiahai Zhuang; Terry M. Peters (CIS (1), 2005)

Medical Image Alignment by Normal Vector Information. - Xiahai Zhuang; Lixu Gu; Jianfeng Xu (CIS (1), 2005)

Normal Vector Information Registration and Comparisons with Mutual Information. - Xiahai Zhuang; Lixu Gu (EMBC, 2006)

An Atlas-Based Segmentation Propagation Framework Using Locally Affine Registration - Application to Automatic Whole Heart Segmentation. - Xiahai Zhuang; Kawal S. Rhode; Simon R. Arridge; Reza Razavi; Derek L. G. Hill; David J. Hawkes; Sébastien Ourselin (MICCAI (2), 2008)

Robust registration between cardiac MRI images and atlas for segmentation propagation. - Xiahai Zhuang; David J. Hawkes; William R. Crum; Redha Boubertakh; Sergio Uribe; David Atkinson; Philipp G. Batchelor; Tobias Schaeffter; Reza Razavi; Derek L. G. Hill (Image Processing, 2008)

Free-Form Deformations Using Adaptive Control Point Status for Whole Heart MR Segmentation. - Xiahai Zhuang; Kawal S. Rhode; Reza Razavi; David J. Hawkes; Sébastien Ourselin (FIMH, 2009)

Unifying Encoding of Spatial Information in Mutual Information for Nonrigid Registration. - Xiahai Zhuang; David J. Hawkes; Sébastien Ourselin (IPMI, 2009)

Registration-based propagation for whole heart segmentation from compounded 3D echocardiography. - Xiahai Zhuang; Cheng Yao; YingLiang Ma; David J. Hawkes; Graeme P. Penney; Sébastien Ourselin (ISBI, 2010)

Whole Heart Segmentation of Cardiac MRI Using Multiple Path Propagation Strategy. - Xiahai Zhuang; Kelvin K. Leung; Kawal S. Rhode; Reza Razavi; David J. Hawkes; Sébastien Ourselin (MICCAI (1), 2010)

Spatial Information Encoded Mutual Information for Nonrigid Registration. - Xiahai Zhuang; David J. Hawkes; Sébastien Ourselin (WBIR, 2010)

A Registration-Based Propagation Framework for Automatic Whole Heart Segmentation of Cardiac MRI. - Xiahai Zhuang; Kawal S. Rhode; Reza Razavi; David J. Hawkes; Sébastien Ourselin (IEEE Trans. Medical Imaging, 2010)

Automatic Segmentation of Different Pathologies from Cardiac Cine MRI Using Registration and Multiple Component EM Estimation. - Wenzhe Shi; Xiahai Zhuang; Haiyan Wang 018; Simon G. Duckett; Declan P. O'Regan; Philip J. Edwards; Sébastien Ourselin; Daniel Rueckert (FIMH, 2011)

A Framework Combining Multi-sequence MRI for Fully Automated Quantitative Analysis of Cardiac Global And Regional Functions. - Xiahai Zhuang; Wenzhe Shi; Simon G. Duckett; Haiyan Wang 018; Reza Razavi; David J. Hawkes; Daniel Rueckert; Sébastien Ourselin (FIMH, 2011)

A Multi-image Graph Cut Approach for Cardiac Image Segmentation and Uncertainty Estimation. - Wenzhe Shi; Xiahai Zhuang; Robin Wolz; Simon G. Duckett; Kai-Pin Tung; Haiyan Wang 018; Sébastien Ourselin; Philip J. Edwards; Reza Razavi; Daniel Rueckert (STACOM, 2011)

Automatic Cardiac Motion Tracking Using Both Untagged and 3D Tagged MR Images. - Haiyan Wang 018; Wenzhe Shi; Xiahai Zhuang; Simon G. Duckett; Kai-Pin Tung; Philip J. Edwards; Reza Razavi; Sébastien Ourselin; Daniel Rueckert (STACOM, 2011)

Motion tracking of left ventricle and coronaries in 4D CTA. - Dong Ping Zhang; Xiahai Zhuang; Sébastien Ourselin; Daniel Rueckert (Image Processing, 2011)

A Nonrigid Registration Framework Using Spatially Encoded Mutual Information and Free-Form Deformations. - Xiahai Zhuang; Simon R. Arridge; David J. Hawkes; Sébastien Ourselin (IEEE Trans. Medical Imaging, 2011)

Registration Using Sparse Free-Form Deformations. - Wenzhe Shi; Xiahai Zhuang; Luis Pizarro; Wenjia Bai; Haiyan Wang 018; Kai-Pin Tung; Philip J. Edwards; Daniel Rueckert (MICCAI (2), 2012)

A Comprehensive Cardiac Motion Estimation Framework Using Both Untagged and 3-D Tagged MR Images Based on Nonrigid Registration. - Wenzhe Shi; Xiahai Zhuang; Haiyan Wang 018; Simon G. Duckett; Duy V. N. Luong; Catalina Tobon-Gomez; Kai-Pin Tung; Philip J. Edwards; Kawal S. Rhode; Reza Razavi; Sébastien Ourselin; Daniel Rueckert (IEEE Trans. Medical Imaging, 2012)

Computer-aided scheme for functional index computation of left ventricle in cardiac CTA: segmentation and partitioning of left ventricle. - Hui Huang; Xiahai Zhuang; Yi Shao; Tian Lan; Liu Liu; Qiang Li (Computer-Aided Diagnosis, 2013)

Model-Guided Directional Minimal Path for Fully Automatic Extraction of Coronary Centerlines from Cardiac CTA. - Liu Liu; Wenzhe Shi; Daniel Rueckert; Mingxing Hu; Sébastien Ourselin; Xiahai Zhuang (MICCAI (1), 2013)

Cardiac Image Super-Resolution with Global Correspondence Using Multi-Atlas PatchMatch. - Wenzhe Shi; Jose Caballero; Christian Ledig; Xiahai Zhuang; Wenjia Bai; Kanwal K. Bhatia; Antonio M. Simoes Monteiro de Marvao; Tim Dawes; Declan P. O'Regan; Daniel Rueckert (MICCAI (3), 2013)

Landmark detection and coupled patch registration for cardiac motion tracking. - Haiyan Wang 018; Wenzhe Shi; Xiahai Zhuang; Xianliang Wu; Kai-Pin Tung; Sébastien Ourselin; Philip J. Edwards; Daniel Rueckert (Image Processing, 2013)

Computation on shape manifold for atlas generation: application to whole heart segmentation of cardiac MRI. - Xiahai Zhuang; Wenzhe Shi; Haiyan Wang 018; Daniel Rueckert; Sébastien Ourselin (Image Processing, 2013)

A registration and atlas propagation based framework for automatic whole heart segmentation of CT volumes. - Xiahai Zhuang; Jingjing Song; Songhua Zhan; Tian Lan; Hui Huang; Mingxing Hu; Sébastien Ourselin; Qiang Li (Image Processing, 2013)

Temporal sparse free-form deformations. - Wenzhe Shi; Martin Jantsch; Paul Aljabar; Luis Pizarro; Wenjia Bai; Haiyan Wang 018; Declan P. O'Regan; Xiahai Zhuang; Daniel Rueckert (Medical Image Anal., 2013)

Benchmarking framework for myocardial tracking and deformation algorithms: An open access database. - Catalina Tobon-Gomez; Mathieu De Craene; Kristin McLeod; Lennart Tautz; Wenzhe Shi; Anja Hennemuth; Adityo Prakosa; H. Wang; Gerry Carr-White; Stam Kapetanakis; Anja Lutz; Volker Rasche; et al. (Medical Image Anal., 2013)

The estimation of patient-specific cardiac diastolic functions from clinical measurements. - Jiahe Xi; Pablo Lamata; Steven A. Niederer; Sander Land; Wenzhe Shi; Xiahai Zhuang; Sébastien Ourselin; Simon G. Duckett; Anoop Shetty; C. Aldo Rinaldi; Daniel Rueckert; Reza Razavi; et al. (Medical Image Anal., 2013)

Coronary centerline extraction based on ostium detection and model-guided directional minimal path. - Liu Liu; Wenzhe Shi; Daniel Rueckert; Mingxing Hu; Sébastien Ourselin; Xiahai Zhuang (ISBI, 2014)

Myocardium segmentation combining T2 and DE MRI using Multi-Component Bivariate Gaussian mixture model. - Jie Liu; Xiahai Zhuang; Jing Liu; Shaoting Zhang 001; Guotai Wang; Lianming Wu; Jianrong Xu; Lixu Gu (ISBI, 2014)

Robust and efficient 3D registration via depth map-based feature point matching in image-guided neurosurgery. - Jie Yang 002; Shaoting Zhang 001; Xiahai Zhuang; Long Jiang; Lixu Gu (ISBI, 2014)

Multi-atlas Spectral PatchMatch: Application to Cardiac Image Segmentation. - Wenzhe Shi; Herve Lombaert; Wenjia Bai; Christian Ledig; Xiahai Zhuang; Antonio M. Simoes Monteiro de Marvao; Timothy Dawes; Declan P. O'Regan; Daniel Rueckert (MICCAI (1), 2014)

Real-time aortic valve segmentation from transesophageal echocardiography sequence. - Junfeng Cai; Xiahai Zhuang; Yuanyuan Nie; Zhe Luo; Lixu Gu (Int. J. Comput. Assist. Radiol. Surg., 2015)

A Multi-resolution Multi-model Method for Coronary Centerline Extraction Based on Minimal Path. - Dengqiang Jia; Wenzhe Shi; Daniel Rueckert; Liu Liu; Sébastien Ourselin; Xiahai Zhuang (MIAR, 2016)

Multivariate Mixture Model for Cardiac Segmentation from Multi-Sequence MRI. - Xiahai Zhuang (MICCAI (2), 2016)

Multivariate mixture model for myocardium segmentation combining multi-source images. - Xiahai Zhuang (CoRR, 2016)

Multi-scale patch and multi-modality atlases for whole heart segmentation of MRI. - Xiahai Zhuang; Juan Shen (Medical Image Anal., 2016)

A fully automatic deep learning method for atrial scarring segmentation from late gadolinium-enhanced MRI images. - Guang Yang 006; Xiahai Zhuang; Habib Khan; Shouvik Haldar; Eva Nyktari; Xujiong Ye; Gregory G. Slabaugh; Tom Wong; Raad Mohiaddin; Jennifer Keegan; David N. Firmin (ISBI, 2017)

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)

Segmenting Atrial Fibrosis from Late Gadolinium-Enhanced Cardiac MRI by Deep-Learned Features with Stacked Sparse Auto-Encoders. - Guang Yang 006; Xiahai Zhuang; Habib Khan; Shouvik Haldar; Eva Nyktari; Xujiong Ye; Gregory G. Slabaugh; Tom Wong; Raad Mohiaddin; Jennifer Keegan; David N. Firmin (MIUA, 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)

Myocardium Segmentation From DE MRI Using Multicomponent Gaussian Mixture Model and Coupled Level Set. - Jie Liu; Xiahai Zhuang; Lianming Wu; Dongaolei An; Jianrong Xu; Terry M. Peters; Lixu Gu (IEEE Trans. Biomed. Eng., 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)

Automatic infection detection based on electronic medical records. - Huaixiao Tou; Lu Yao; Zhongyu Wei; Xiahai Zhuang; Bo Zhang (BMC Bioinform., 2018)

Myocardium segmentation from DE MRI with guided random walks and sparse shape representation. - Jie Liu; Xiahai Zhuang; Hongzhi Xie; Shuyang Zhang; Lixu Gu (Int. J. Comput. Assist. Radiol. Surg., 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)

PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation. - Qi Dou 001; Cheng Ouyang; Cheng Chen 013; Hao Chen 011; Ben Glocker; Xiahai Zhuang; Pheng-Ann Heng (CoRR, 2018)

Multi-Scale Deep Neural Networks for Real Image Super-Resolution. - Shangqi Gao; Xiahai Zhuang (CVPR Workshops, 2019)

Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors. - Qian Yue; Xinzhe Luo; Qing Ye; Lingchao Xu; Xiahai Zhuang (MICCAI (2), 2019)

PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network at Unpaired Cross-Modality Cardiac Segmentation. - Qi Dou 001; Cheng Ouyang; Cheng Chen 013; Hao Chen 011; Ben Glocker; Xiahai Zhuang; Pheng-Ann Heng (IEEE Access, 2019)

Directional fast-marching and multi-model strategy to extract coronary artery centerlines. - Dengqiang Jia; Xiahai Zhuang (Comput. Biol. Medicine, 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. (CoRR, 2019)

Diagnosis of Alzheimer's Disease via Multi-modality 3D Convolutional Neural Network. - Yechong Huang; Jiahang Xu; Yuncheng Zhou; Tong Tong; Xiahai Zhuang (CoRR, 2019)

A Fully-Automatic Framework for Parkinson's Disease Diagnosis by Multi-Modality Images. - Jiahang Xu; Fangyang Jiao; Yechong Huang; Xinzhe Luo; Qian Xu; Ling Li; Xueling Liu; Chuantao Zuo; Ping Wu 003; Xiahai Zhuang (CoRR, 2019)

Mutual information neural estimation in CNN-based end-to-end medical image registration. - Yechong Huang; Tao Song; Jieru Zhu; Wenqi Luo; Jiahang Xu; Xiahai Zhuang (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)

Multivariate Mixture Model for Myocardial Segmentation Combining Multi-Source Images. - Xiahai Zhuang (IEEE Trans. Pattern Anal. Mach. Intell., 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)

MvMM-RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation. - Xinzhe Luo; Xiahai Zhuang (MICCAI (3), 2020)

Recognition and Standardization of Cardiac MRI Orientation via Multi-tasking Learning and Deep Neural Networks. - Ke Zhang; Xiahai Zhuang (MyoPS@MICCAI, 2020)

Anatomy Prior Based U-net for Pathology Segmentation with Attention. - Yuncheng Zhou; Ke Zhang; Xinzhe Luo; Sihan Wang; Xiahai Zhuang (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging. - Zhaohan Xiong; Qing Xia 002; Zhiqiang Hu; Ning Huang; Cheng Bian; Yefeng Zheng 001; Sulaiman Vesal; Nishant Ravikumar; Andreas K. Maier; Xin Yang 009; Pheng-Ann Heng; Dong Ni 001; et al. (CoRR, 2020)

Robust approximations of low-rank minimization for tensor completion. - Shangqi Gao; Xiahai Zhuang (Neurocomputing, 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)

CF Distance: A New Domain Discrepancy Metric and Application to Explicit Domain Adaptation for Cross-Modality Cardiac Image Segmentation. - Fuping Wu; Xiahai Zhuang (IEEE Trans. Medical Imaging, 2020)

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

VSpSR: Explorable Super-Resolution via Variational Sparse Representation. - Hangqi Zhou; Chao Huang; Shangqi Gao; Xiahai Zhuang (CVPR Workshops, 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)

Consistency Based Co-segmentation for Multi-view Cardiac MRI Using Vision Transformer. - Zheyao Gao; 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)

Learning-based algorithms for vessel tracking: A review. - Dengqiang Jia; Xiahai Zhuang (Comput. Medical Imaging Graph., 2021)

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

A low-rank representation for unsupervised registration of medical images. - Dengqiang Jia; Shangqi Gao; Qunlong Chen; Xinzhe Luo; Xiahai Zhuang (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)

Disentangle domain features for cross-modality cardiac image segmentation. - Chenhao Pei; Fuping Wu; Liqin Huang; Xiahai Zhuang (Medical Image Anal., 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)

Unsupervised Domain Adaptation With Variational Approximation for Cardiac Segmentation. - Fuping Wu; Xiahai Zhuang (IEEE Trans. Medical Imaging, 2021)

CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble Supervision. - Ke Zhang; Xiahai Zhuang (CVPR, 2022)

Survey on unsupervised learning methods for optical flow estimation. - Tomislav Dobricki; Xiahai Zhuang; Kyoung-Jae Won; Byung-Woo Hong (ICTC, 2022)

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)

Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation. - Shangqi Gao; Hangqi Zhou; Yibo Gao; Xiahai Zhuang (MICCAI (5), 2022)

ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation. - Ke Zhang; Xiahai Zhuang (MICCAI (8), 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)

Bayesian intrinsic groupwise registration via explicit hierarchical disentanglement. - Xin Wang 113; Xinzhe Luo; Xiahai Zhuang (CoRR, 2022)

Deep Compatible Learning for Partially-Supervised Medical Image Segmentation. - Ke Zhang; Xiahai Zhuang (CoRR, 2022)

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

X-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing. - Xinzhe Luo; Xiahai Zhuang (CoRR, 2022)

Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. - Alain Lalande; Zhihao Chen 005; Thibaut Pommier; Thomas Decourselle; Abdul Qayyum; Michel Salomon; Dominique Ginhac; Youssef Skandarani; Arnaud Boucher; Khawla Brahim; Marleen de Bruijne; Robin Camarasa; et al. (Medical Image Anal., 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)

Rank-One Network: An Effective Framework for Image Restoration. - Shangqi Gao; Xiahai Zhuang (IEEE Trans. Pattern Anal. Mach. Intell., 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)

BInGo: Bayesian Intrinsic Groupwise Registration via Explicit Hierarchical Disentanglement. - Xin Wang 113; Xinzhe Luo; Xiahai Zhuang (IPMI, 2023)

A Reliable and Interpretable Framework of Multi-view Learning for Liver Fibrosis Staging. - Zheyao Gao; Yuanye Liu; Fuping Wu; Nannan Shi; Yuxin Shi; Xiahai Zhuang (MICCAI (5), 2023)

Multi-phase Liver-Specific DCE-MRI Translation via A Registration-Guided GAN. - Jiyao Liu; Yuxin Li; Nannan Shi; Yuncheng Zhou; Shangqi Gao; Yuxin Shi; Xiao-Yong Zhang; Xiahai Zhuang (SASHIMI@MICCAI, 2023)

ZScribbleSeg: Zen and the Art of Scribble Supervised Medical Image Segmentation. - Ke Zhang; Xiahai Zhuang (CoRR, 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)

CMRxRecon: An open cardiac MRI dataset for the competition of accelerated image reconstruction. - Chengyan Wang; Jun Lyu; Shuo Wang 011; Chen Qin; Kunyuan Guo; Xinyu Zhang; Xiaotong Yu; Yan Li 064; Fanwen Wang; Jianhua Jin; Zhang Shi; Ziqiang Xu; et al. (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)

Bayesian Image Super-Resolution With Deep Modeling of Image Statistics. - Shangqi Gao; Xiahai Zhuang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

A New Framework of Swarm Learning Consolidating Knowledge From Multi-Center Non-IID Data for Medical Image Segmentation. - Zheyao Gao; Fuping Wu; Weiguo Gao; Xiahai Zhuang (IEEE Trans. Medical Imaging, 2023)

Minimizing Estimated Risks on Unlabeled Data: A New Formulation for Semi-Supervised Medical Image Segmentation. - Fuping Wu; Xiahai Zhuang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

$ mathcal {X}$-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing. - Xinzhe Luo; Xiahai Zhuang (IEEE Trans. Pattern Anal. Mach. Intell., 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)

BayeSeg: Bayesian modeling for medical image segmentation with interpretable generalizability. - Shangqi Gao; Hangqi Zhou; Yibo Gao; Xiahai Zhuang (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)

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)

A Causality-Driven Graph Convolutional Network for Postural Abnormality Diagnosis in Parkinsonians. - Xinlu Tang; Rui Guo; Chencheng Zhang; Xiahai Zhuang; Xiaohua Qian (IEEE Trans. Medical Imaging, 2023)

A Brain-Inspired Way of Reducing the Network Complexity via Concept-Regularized Coding for Emotion Recognition. - Han Lu; Xiahai Zhuang; Qiang Luo (AAAI, 2024)

Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis. - Yibo Gao; Zheyao Gao; Xin Gao; Yuanye Liu; Bomin Wang; Xiahai Zhuang (MICCAI (10), 2024)

Context-Guided Continual Reinforcement Learning for Landmark Detection with Incomplete Data. - Kaiwen Wan; Bomin Wang; Fuping Wu; Haiyu Gong; Xiahai Zhuang (MICCAI (11), 2024)

Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual Learning. - Bomin Wang; Xinzhe Luo; Xiahai Zhuang (MICCAI (2), 2024)

Bayesian Intrinsic Groupwise Image Registration: Unsupervised Disentanglement of Anatomy and Geometry. - Xinzhe Luo; Xin Wang 113; Linda Shapiro 001; Chun Yuan; Jianfeng Feng; Xiahai Zhuang (CoRR, 2024)

CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI. - Zi Wang 005; Fanwen Wang; Chen Qin; Jun Lyu; Ouyang Cheng; Shuo Wang 011; Yan Li 064; Mengyao Yu; Haoyu Zhang; Kunyuan Guo; Zhang Shi; Qirong Li; et al. (CoRR, 2024)

Trustworthy Contrast-enhanced Brain MRI Synthesis. - Jiyao Liu; Yuxin Li; Shangqi Gao; Yuncheng Zhou; Xin Gao; Ningsheng Xu; Xiao-Yong Zhang; Xiahai Zhuang (CoRR, 2024)

Multi-Source Domain Adaptation for Medical Image Segmentation. - Chenhao Pei; Fuping Wu; Mingjing Yang; Lin Pan; Wangbin Ding; Jinwei Dong; Liqin Huang; Xiahai Zhuang (IEEE Trans. Medical Imaging, 2024)

Evidential Multi-Source-Free Unsupervised Domain Adaptation. - Jiangbo Pei; Aidong Men; Yang Liu 105; Xiahai Zhuang; Qingchao Chen (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Deep Closing: Enhancing Topological Connectivity in Medical Tubular Segmentation. - Qian Wu; Yufei Chen 002; Wei Liu 027; Xiaodong Yue; Xiahai Zhuang (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)

MERIT: Multi-view evidential learning for reliable and interpretable liver fibrosis staging. - Yuanye Liu; Zheyao Gao; Nannan Shi; Fuping Wu; Yuxin Shi; Qingchao Chen; Xiahai Zhuang (Medical Image Anal., 2025)

The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023. - Jun Lyu; Chen Qin; Shuo Wang 011; Fanwen Wang; Yan Li 064; Zi Wang 005; Kunyuan Guo; Ouyang Cheng; Michael Tänzer; Meng Liu; Longyu Sun; Mengting Sun; et al. (Medical Image Anal., 2025)

InDeed: Interpretable image deep decomposition with guaranteed generalizability. - Sihan Wang; Shangqi Gao; Fuping Wu; Xiahai Zhuang (CoRR, 2025)

Empowering Medical Multi-Agents with Clinical Consultation Flow for Dynamic Diagnosis. - Sihan Wang; Suiyang Jiang; Yibo Gao; Boming Wang; Shangqi Gao; Xiahai Zhuang (CoRR, 2025)

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification. - Yibo Gao; Hangqi Zhou; Zheyao Gao; Bomin Wang; Shangqi Gao; Sihan Wang; Xiahai Zhuang (CoRR, 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)

Incorporating Pre-Training Data Matters in Unsupervised Domain Adaptation. - Yinsong Xu 002; Aidong Men; Yang Liu 105; Xiahai Zhuang; Qingchao Chen (IEEE Trans. Pattern Anal. Mach. Intell., 2025)