Xiahai Zhuang
Orcid: 0000-0003-4351-4979
According to our database1,
Xiahai Zhuang
authored at least 133 papers
between 2005 and 2024.
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Bibliography
2024
IEEE Trans. Medical Imaging, November, 2024
IEEE Trans. Pattern Anal. Mach. Intell., August, 2024
IEEE Trans. Medical Imaging, April, 2024
CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI.
CoRR, 2024
MERIT: Multi-view Evidential learning for Reliable and Interpretable liver fibrosis sTaging.
CoRR, 2024
Bayesian Intrinsic Groupwise Image Registration: Unsupervised Disentanglement of Anatomy and Geometry.
CoRR, 2024
Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Context-Guided Continual Reinforcement Learning for Landmark Detection with Incomplete Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
A Brain-Inspired Way of Reducing the Network Complexity via Concept-Regularized Coding for Emotion Recognition.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 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
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
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
CoRR, 2023
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
IEEE J. Biomed. Health Informatics, 2022
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
CoRR, 2022
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
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
Medical Image Anal., 2021
Right Ventricular Segmentation from Short- and Long-Axis MRIs via Information Transition.
CoRR, 2021
CoRR, 2021
Comput. Medical Imaging Graph., 2021
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
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
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
Medical Image Anal., 2020
Neurocomputing, 2020
A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging.
CoRR, 2020
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
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
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
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
CoRR, 2018
Myocardium segmentation from DE MRI with guided random walks and sparse shape representation.
Int. J. Comput. Assist. Radiol. Surg., 2018
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
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
Medical Image Anal., 2016
Multivariate mixture model for myocardium segmentation combining multi-source images.
CoRR, 2016
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
Int. J. Comput. Assist. Radiol. Surg., 2015
2014
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
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
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
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
Proceedings of the Medical Imaging 2011: Image Processing, 2011
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
Proceedings of the Biomedical Image Registration, 4th International Workshop, 2010
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
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
2005
Proceedings of the Computational Intelligence and Security, International Conference, 2005
Proceedings of the Computational Intelligence and Security, International Conference, 2005