Xiahai Zhuang

According to our database1, Xiahai Zhuang authored at least 124 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Bayesian Intrinsic Groupwise Image Registration: Unsupervised Disentanglement of Anatomy and Geometry.
CoRR, 2024

2023
A Causality-Driven Graph Convolutional Network for Postural Abnormality Diagnosis in Parkinsonians.
IEEE Trans. Medical Imaging, December, 2023

Aligning Multi-Sequence CMR Towards Fully Automated Myocardial Pathology Segmentation.
IEEE Trans. Medical Imaging, December, 2023

Multi-target landmark detection with incomplete images via reinforcement learning and shape prior embedding.
Medical Image Anal., October, 2023

BayeSeg: Bayesian modeling for medical image segmentation with interpretable generalizability.
Medical Image Anal., October, 2023

Multi-modality cardiac image computing: A survey.
Medical Image Anal., August, 2023

Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge.
IEEE J. Biomed. Health Informatics, July, 2023

$\mathcal {X}$-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Minimizing Estimated Risks on Unlabeled Data: A New Formulation for Semi-Supervised Medical Image Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

A New Framework of Swarm Learning Consolidating Knowledge From Multi-Center Non-IID Data for Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2023

Bayesian Image Super-Resolution With Deep Modeling of Image Statistics.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

MyoPS-Net: Myocardial pathology segmentation with flexible combination of multi-sequence CMR images.
Medical Image Anal., 2023

MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images.
Medical Image Anal., 2023

CMRxRecon: An open cardiac MRI dataset for the competition of accelerated image reconstruction.
CoRR, 2023

Multi-Target Landmark Detection with Incomplete Images via Reinforcement Learning and Shape Prior.
CoRR, 2023

ZScribbleSeg: Zen and the Art of Scribble Supervised Medical Image Segmentation.
CoRR, 2023

Multi-phase Liver-Specific DCE-MRI Translation via A Registration-Guided GAN.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2023

A Reliable and Interpretable Framework of Multi-view Learning for Liver Fibrosis Staging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

BInGo: Bayesian Intrinsic Groupwise Registration via Explicit Hierarchical Disentanglement.
Proceedings of the Information Processing in Medical Imaging, 2023

2022
Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label Fusion.
IEEE J. Biomed. Health Informatics, 2022

Rank-One Network: An Effective Framework for Image Restoration.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge.
Medical Image Anal., 2022

AWSnet: An auto-weighted supervision attention network for myocardial scar and edema segmentation in multi-sequence cardiac magnetic resonance images.
Medical Image Anal., 2022

Medical image analysis on left atrial LGE MRI for atrial fibrillation studies: A review.
Medical Image Anal., 2022

AtrialJSQnet: A New framework for joint segmentation and quantification of left atrium and scars incorporating spatial and shape information.
Medical Image Anal., 2022

Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge.
Medical Image Anal., 2022

X-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing.
CoRR, 2022

Multi-Modality Cardiac Image Computing: A Survey.
CoRR, 2022

Deep Compatible Learning for Partially-Supervised Medical Image Segmentation.
CoRR, 2022

Bayesian intrinsic groupwise registration via explicit hierarchical disentanglement.
CoRR, 2022

Unsupervised Cardiac Segmentation Utilizing Synthesized Images from Anatomical Labels.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Decoupling Predictions in Distributed Learning for Multi-center Left Atrial MRI Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Survey on unsupervised learning methods for optical flow estimation.
Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble Supervision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Unsupervised Domain Adaptation With Variational Approximation for Cardiac Segmentation.
IEEE Trans. Medical Imaging, 2021

Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge.
IEEE Trans. Medical Imaging, 2021

Disentangle domain features for cross-modality cardiac image segmentation.
Medical Image Anal., 2021

Multi-Modality Cardiac Image Analysis with Deep Learning.
CoRR, 2021

Right Ventricular Segmentation from Short- and Long-Axis MRIs via Information Transition.
CoRR, 2021

Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge.
CoRR, 2021

A low-rank representation for unsupervised registration of medical images.
CoRR, 2021

Unsupervised MMRegNet based on Spatially Encoded Gradient Information.
CoRR, 2021

Learning-based algorithms for vessel tracking: A review.
Comput. Medical Imaging Graph., 2021

Multi-modality Cardiac Segmentation via Mixing Domains for Unsupervised Adaptation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021

Right Ventricular Segmentation from Short- and Long-Axis MRIs via Information Transition.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021

Consistency Based Co-segmentation for Multi-view Cardiac MRI Using Vision Transformer.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021

Unsupervised Multi-modality Registration Network Based on Spatially Encoded Gradient Information.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021

AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-center LGE MRIs.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

VSpSR: Explorable Super-Resolution via Variational Sparse Representation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

AttU-NET: Attention U-Net for Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020
CF Distance: A New Domain Discrepancy Metric and Application to Explicit Domain Adaptation for Cross-Modality Cardiac Image Segmentation.
IEEE Trans. Medical Imaging, 2020

Atrial scar quantification via multi-scale CNN in the graph-cuts framework.
Medical Image Anal., 2020

Robust approximations of low-rank minimization for tensor completion.
Neurocomputing, 2020

A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging.
CoRR, 2020

Anatomy Prior Based U-net for Pathology Segmentation with Attention.
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

Recognition and Standardization of Cardiac MRI Orientation via Multi-tasking Learning and Deep Neural Networks.
Proceedings of the Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images, 2020

MvMM-RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Random Style Transfer Based Domain Generalization Networks Integrating Shape and Spatial Information.
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

Joint Left Atrial Segmentation and Scar Quantification Based on a DNN with Spatial Encoding and Shape Attention.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Cross-Modality Multi-atlas Segmentation Using Deep Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Brain Tumor Segmentation Network Using Attention-Based Fusion and Spatial Relationship Constraint.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019
Multivariate Mixture Model for Myocardial Segmentation Combining Multi-Source Images.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge.
Medical Image Anal., 2019

Mutual information neural estimation in CNN-based end-to-end medical image registration.
CoRR, 2019

A Fully-Automatic Framework for Parkinson's Disease Diagnosis by Multi-Modality Images.
CoRR, 2019

Diagnosis of Alzheimer's Disease via Multi-modality 3D Convolutional Neural Network.
CoRR, 2019

Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge.
CoRR, 2019

Directional fast-marching and multi-model strategy to extract coronary artery centerlines.
Comput. Biol. Medicine, 2019

PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network at Unpaired Cross-Modality Cardiac Segmentation.
IEEE Access, 2019

Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Multi-Scale Deep Neural Networks for Real Image Super-Resolution.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation.
CoRR, 2018

Atrial scars segmentation via potential learning in the graph-cuts framework.
CoRR, 2018

Myocardium segmentation from DE MRI with guided random walks and sparse shape representation.
Int. J. Comput. Assist. Radiol. Surg., 2018

Automatic infection detection based on electronic medical records.
BMC Bioinform., 2018

Atrial Fibrosis Quantification Based on Maximum Likelihood Estimator of Multivariate Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Bayesian VoxDRN: A Probabilistic Deep Voxelwise Dilated Residual Network for Whole Heart Segmentation from 3D MR Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Atrial Scar Segmentation via Potential Learning in the Graph-Cut Framework.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018

Left Atrial Segmentation Combining Multi-atlas Whole Heart Labeling and Shape-Based Atlas Selection.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018

2017
Myocardium Segmentation From DE MRI Using Multicomponent Gaussian Mixture Model and Coupled Level Set.
IEEE Trans. Biomed. Eng., 2017

Fully Automatic Segmentation and Objective Assessment of Atrial Scars for Longstanding Persistent Atrial Fibrillation Patients Using Late Gadolinium-Enhanced MRI.
CoRR, 2017

Segmenting Atrial Fibrosis from Late Gadolinium-Enhanced Cardiac MRI by Deep-Learned Features with Stacked Sparse Auto-Encoders.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Multi-atlas propagation based left atrium segmentation coupled with super-voxel based pulmonary veins delineation in late gadolinium-enhanced cardiac MRI.
Proceedings of the Medical Imaging 2017: Image Processing, 2017

Differentiation of pre-ablation and post-ablation late gadolinium-enhanced cardiac MRI scans of longstanding persistent atrial fibrillation patients.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

A fully automatic deep learning method for atrial scarring segmentation from late gadolinium-enhanced MRI images.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Multi-scale patch and multi-modality atlases for whole heart segmentation of MRI.
Medical Image Anal., 2016

Multivariate mixture model for myocardium segmentation combining multi-source images.
CoRR, 2016

Multivariate Mixture Model for Cardiac Segmentation from Multi-Sequence MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

A Multi-resolution Multi-model Method for Coronary Centerline Extraction Based on Minimal Path.
Proceedings of the Medical Imaging and Augmented Reality - 7th International Conference, 2016

2015
Real-time aortic valve segmentation from transesophageal echocardiography sequence.
Int. J. Comput. Assist. Radiol. Surg., 2015

2014
Multi-atlas Spectral PatchMatch: Application to Cardiac Image Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Robust and efficient 3D registration via depth map-based feature point matching in image-guided neurosurgery.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Myocardium segmentation combining T2 and DE MRI using Multi-Component Bivariate Gaussian mixture model.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Coronary centerline extraction based on ostium detection and model-guided directional minimal path.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
The estimation of patient-specific cardiac diastolic functions from clinical measurements.
Medical Image Anal., 2013

Benchmarking framework for myocardial tracking and deformation algorithms: An open access database.
Medical Image Anal., 2013

Temporal sparse free-form deformations.
Medical Image Anal., 2013

A registration and atlas propagation based framework for automatic whole heart segmentation of CT volumes.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

Computation on shape manifold for atlas generation: application to whole heart segmentation of cardiac MRI.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

Landmark detection and coupled patch registration for cardiac motion tracking.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

Cardiac Image Super-Resolution with Global Correspondence Using Multi-Atlas PatchMatch.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Model-Guided Directional Minimal Path for Fully Automatic Extraction of Coronary Centerlines from Cardiac CTA.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Computer-aided scheme for functional index computation of left ventricle in cardiac CTA: segmentation and partitioning of left ventricle.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

2012
A Comprehensive Cardiac Motion Estimation Framework Using Both Untagged and 3-D Tagged MR Images Based on Nonrigid Registration.
IEEE Trans. Medical Imaging, 2012

Registration Using Sparse Free-Form Deformations.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

2011
A Nonrigid Registration Framework Using Spatially Encoded Mutual Information and Free-Form Deformations.
IEEE Trans. Medical Imaging, 2011

Motion tracking of left ventricle and coronaries in 4D CTA.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

Automatic Cardiac Motion Tracking Using Both Untagged and 3D Tagged MR Images.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2011

A Multi-image Graph Cut Approach for Cardiac Image Segmentation and Uncertainty Estimation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2011

A Framework Combining Multi-sequence MRI for Fully Automated Quantitative Analysis of Cardiac Global And Regional Functions.
Proceedings of the Functional Imaging and Modeling of the Heart, 2011

Automatic Segmentation of Different Pathologies from Cardiac Cine MRI Using Registration and Multiple Component EM Estimation.
Proceedings of the Functional Imaging and Modeling of the Heart, 2011

2010
A Registration-Based Propagation Framework for Automatic Whole Heart Segmentation of Cardiac MRI.
IEEE Trans. Medical Imaging, 2010

Spatial Information Encoded Mutual Information for Nonrigid Registration.
Proceedings of the Biomedical Image Registration, 4th International Workshop, 2010

Whole Heart Segmentation of Cardiac MRI Using Multiple Path Propagation Strategy.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Registration-based propagation for whole heart segmentation from compounded 3D echocardiography.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009
Unifying Encoding of Spatial Information in Mutual Information for Nonrigid Registration.
Proceedings of the Information Processing in Medical Imaging, 2009

Free-Form Deformations Using Adaptive Control Point Status for Whole Heart MR Segmentation.
Proceedings of the Functional Imaging and Modeling of the Heart, 2009

2008
Robust registration between cardiac MRI images and atlas for segmentation propagation.
Proceedings of the Medical Imaging 2008: Image Processing, 2008

An Atlas-Based Segmentation Propagation Framework Using Locally Affine Registration - Application to Automatic Whole Heart Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

2006
Normal Vector Information Registration and Comparisons with Mutual Information.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2005
Medical Image Alignment by Normal Vector Information.
Proceedings of the Computational Intelligence and Security, International Conference, 2005

A Novel Multi-stage 3D Medical Image Segmentation: Methodology and Validation.
Proceedings of the Computational Intelligence and Security, International Conference, 2005


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