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Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images: First Challenge, MyoPS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings

1st Edition 2020, 2020

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Multivariate Mixture Model for Myocardial Segmentation Combining Multi-Source Images

IEEE transactions on pattern analysis and machine intelligence, 2019-12, Vol.41 (12), p.2933-2946

Zhuang, Xiahai

2019

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IEEE_Xplore

Disentangle domain features for cross-modality cardiac image segmentation

Medical image analysis, 2021-07, Vol.71, p.102078-102078, Article 102078

2021

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Diagnosis of Alzheimer's Disease via Multi-Modality 3D Convolutional Neural Network

Frontiers in neuroscience, 2019-05, Vol.13, p.509-509

2019

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PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network at Unpaired Cross-Modality Cardiac Segmentation

IEEE access, 2019, Vol.7, p.99065-99076

2019

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Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge

Medical image analysis, 2019-12, Vol.58, p.101537-101537, Article 101537

2019

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A Nonrigid Registration Framework Using Spatially Encoded Mutual Information and Free-Form Deformations

IEEE transactions on medical imaging, 2011-10, Vol.30 (10), p.1819-1828

2011

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IEEE_Xplore

A Registration-Based Propagation Framework for Automatic Whole Heart Segmentation of Cardiac MRI

IEEE transactions on medical imaging, 2010-09, Vol.29 (9), p.1612-1625

2010

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IEEE_Xplore

Multi-scale patch and multi-modality atlases for whole heart segmentation of MRI

Medical image analysis, 2016-07, Vol.31, p.77-87

2016

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Automatic infection detection based on electronic medical records

BMC bioinformatics, 2018-04, Vol.19 (Suppl 5), p.117-117, Article 117

2018

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Left Atrial and Scar Quantification and Segmentation: First Challenge, LAScarQS 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

1, 2023

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Unsupervised Domain Adaptation With Variational Approximation for Cardiac Segmentation

IEEE transactions on medical imaging, 2021-12, Vol.40 (12), p.3555-3567

2021

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IEEE_Xplore

Minimizing Estimated Risks on Unlabeled Data: A New Formulation for Semi-Supervised Medical Image Segmentation

IEEE transactions on pattern analysis and machine intelligence, 2023-05, Vol.45 (5), p.1-17

2023

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IEEE_Xplore

CF Distance: A New Domain Discrepancy Metric and Application to Explicit Domain Adaptation for Cross-Modality Cardiac Image Segmentation

IEEE transactions on medical imaging, 2020-12, Vol.39 (12), p.4274-4285

2020

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IEEE_Xplore

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

IEEE transactions on pattern analysis and machine intelligence, 2023-07, Vol.45 (7), p.9206-9224

2023

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Bayesian Image Super-Resolution With Deep Modeling of Image Statistics

IEEE transactions on pattern analysis and machine intelligence, 2023-02, Vol.45 (2), p.1405-1423

2023

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IEEE_Xplore

Challenges and methodologies of fully automatic whole heart segmentation: a review

Journal of healthcare engineering, 2013, Vol.4 (3), p.371-407

Zhuang, Xiahai

2013

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SeRN: A Two-Stage Framework of Registration for Semi-Supervised Learning for Medical Images

Shanghai jiao tong da xue xue bao, 2022-04, Vol.27 (2), p.176-189

2022

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mathcal -Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing

IEEE transactions on pattern analysis and machine intelligence, 2023-07, Vol.45 (7), p.1-18

2023

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IEEE_Xplore

Rank-One Network: An Effective Framework for Image Restoration

IEEE transactions on pattern analysis and machine intelligence, 2022-06, Vol.44 (6), p.3224-3238

2022

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IEEE_Xplore

Learning-based algorithms for vessel tracking: A review

Computerized medical imaging and graphics, 2021-04, Vol.89, p.101840-101840, Article 101840

2021

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A Fully Automatic Framework for Parkinson's Disease Diagnosis by Multi-Modality Images

Frontiers in neuroscience, 2019-08, Vol.13, p.874-874

2019

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Editorial: Radiopharmaceuticals, Imaging Techniques and Clinical Applications in Neurodegenerative Diseases

Frontiers in neurology, 2019-09, Vol.10, p.962-962

2019

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A Comprehensive Cardiac Motion Estimation Framework Using Both Untagged and 3-D Tagged MR Images Based on Nonrigid Registration

IEEE transactions on medical imaging, 2012-06, Vol.31 (6), p.1263-1275

2012

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IEEE_Xplore

Computer-Aided Classification Framework of Parkinsonian Disorders Using 11C-CFT PET Imaging

Frontiers in aging neuroscience, 2022-02, Vol.13, p.792951-792951

2022

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Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images: First Challenge, MyoPS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings

Multivariate Mixture Model for Myocardial Segmentation Combining Multi-Source Images

Disentangle domain features for cross-modality cardiac image segmentation

Diagnosis of Alzheimer's Disease via Multi-Modality 3D Convolutional Neural Network

PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network at Unpaired Cross-Modality Cardiac Segmentation

Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge

A Nonrigid Registration Framework Using Spatially Encoded Mutual Information and Free-Form Deformations

A Registration-Based Propagation Framework for Automatic Whole Heart Segmentation of Cardiac MRI

Multi-scale patch and multi-modality atlases for whole heart segmentation of MRI

Automatic infection detection based on electronic medical records

Left Atrial and Scar Quantification and Segmentation: First Challenge, LAScarQS 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

Unsupervised Domain Adaptation With Variational Approximation for Cardiac Segmentation

Minimizing Estimated Risks on Unlabeled Data: A New Formulation for Semi-Supervised Medical Image Segmentation

CF Distance: A New Domain Discrepancy Metric and Application to Explicit Domain Adaptation for Cross-Modality Cardiac Image Segmentation

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

Bayesian Image Super-Resolution With Deep Modeling of Image Statistics

Challenges and methodologies of fully automatic whole heart segmentation: a review

SeRN: A Two-Stage Framework of Registration for Semi-Supervised Learning for Medical Images

mathcal -Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing

Rank-One Network: An Effective Framework for Image Restoration

Learning-based algorithms for vessel tracking: A review

A Fully Automatic Framework for Parkinson's Disease Diagnosis by Multi-Modality Images

Editorial: Radiopharmaceuticals, Imaging Techniques and Clinical Applications in Neurodegenerative Diseases

A Comprehensive Cardiac Motion Estimation Framework Using Both Untagged and 3-D Tagged MR Images Based on Nonrigid Registration

Computer-Aided Classification Framework of Parkinsonian Disorders Using 11C-CFT PET Imaging

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