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Patch-Based Techniques in Medical Imaging: 4th International Workshop, Patch-MI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings

1st Edition 2018, 2018

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Patch-Based Techniques in Medical Imaging: Third International Workshop, Patch-MI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Proceedings

1, 2017

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Deep Learning for Cardiac Image Segmentation: A Review

Frontiers in cardiovascular medicine, 2020-03, Vol.7, p.25-25

2020

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Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation

IEEE transactions on medical imaging, 2018-02, Vol.37 (2), p.384-395

2018

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DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks

IEEE transactions on medical imaging, 2017-02, Vol.36 (2), p.674-683

2017

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Clinical quantitative cardiac imaging for the assessment of myocardial ischaemia

Nature reviews cardiology, 2020-07, Vol.17 (7), p.427-450

2020

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Automated cardiovascular magnetic resonance image analysis with fully convolutional networks

Journal of cardiovascular magnetic resonance, 2018-09, Vol.20 (1), p.65-65, Article 65

2018

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Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation

Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017, p.253-260

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Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth

IEEE transactions on medical imaging, 2017-08, Vol.36 (8), p.1597-1606

2017

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Alcohol consumption in the general population is associated with structural changes in multiple organ systems

eLife, 2021-06, Vol.10

2021

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Motion Correction and Attenuation Correction for Respiratory Gated PET Images

IEEE transactions on medical imaging, 2011-02, Vol.30 (2), p.351-365

2011

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A population-based phenome-wide association study of cardiac and aortic structure and function

Nature medicine, 2020-10, Vol.26 (10), p.1654-1662

2020

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Large-scale Quality Control of Cardiac Imaging in Population Studies: Application to UK Biobank

Scientific reports, 2020-02, Vol.10 (1), p.2408-2408, Article 2408

2020

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A Probabilistic Patch-Based Label Fusion Model for Multi-Atlas Segmentation With Registration Refinement: Application to Cardiac MR Images

IEEE transactions on medical imaging, 2013-07, Vol.32 (7), p.1302-1315

2013

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New lesion segmentation for multiple sclerosis brain images with imaging and lesion-aware augmentation

Frontiers in neuroscience, 2022-10, Vol.16, p.1007453-1007453

2022

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Learning-Based Quality Control for Cardiac MR Images

IEEE transactions on medical imaging, 2019-05, Vol.38 (5), p.1127-1138

2019

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Automated quality control in image segmentation: application to the UK Biobank cardiovascular magnetic resonance imaging study

Journal of cardiovascular magnetic resonance, 2019-03, Vol.21 (1), p.18-18, Article 18

2019

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Independent Left Ventricular Morphometric Atlases Show Consistent Relationships with Cardiovascular Risk Factors: A UK Biobank Study

Scientific reports, 2019-02, Vol.9 (1), p.1130-1130, Article 1130

2019

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Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images

IEEE transactions on medical imaging, 2017-01, Vol.36 (1), p.332-342

2017

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Abnormal brain white matter microstructure is associated with both pre-hypertension and hypertension

PloS one, 2017-11, Vol.12 (11), p.e0187600-e0187600

2017

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Multi-Atlas Segmentation Using Partially Annotated Data: Methods and Annotation Strategies

IEEE transactions on pattern analysis and machine intelligence, 2018-07, Vol.40 (7), p.1683-1696

2018

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Evaluation of current algorithms for segmentation of scar tissue from late gadolinium enhancement cardiovascular magnetic resonance of the left atrium: an open-access grand challenge

Journal of cardiovascular magnetic resonance, 2013-12, Vol.15 (1), p.105-105, Article 105

2013

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Genome-wide associations of aortic distensibility suggest causality for aortic aneurysms and brain white matter hyperintensities

Nature communications, 2022-08, Vol.13 (1), p.4505-4505, Article 4505

2022

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Improving the Generalizability of Convolutional Neural Network-Based Segmentation on CMR Images

Frontiers in cardiovascular medicine, 2020-06, Vol.7, p.105-105

2020

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Precision measurement of cardiac structure and function in cardiovascular magnetic resonance using machine learning

Journal of cardiovascular magnetic resonance, 2022-03, Vol.24 (1), p.16-16, Article 16

2022

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Patch-Based Techniques in Medical Imaging: 4th International Workshop, Patch-MI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings

Patch-Based Techniques in Medical Imaging: Third International Workshop, Patch-MI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Proceedings

Deep Learning for Cardiac Image Segmentation: A Review

Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation

DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks

Clinical quantitative cardiac imaging for the assessment of myocardial ischaemia

Automated cardiovascular magnetic resonance image analysis with fully convolutional networks

Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation

Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth

Alcohol consumption in the general population is associated with structural changes in multiple organ systems

Motion Correction and Attenuation Correction for Respiratory Gated PET Images

A population-based phenome-wide association study of cardiac and aortic structure and function

Large-scale Quality Control of Cardiac Imaging in Population Studies: Application to UK Biobank

A Probabilistic Patch-Based Label Fusion Model for Multi-Atlas Segmentation With Registration Refinement: Application to Cardiac MR Images

New lesion segmentation for multiple sclerosis brain images with imaging and lesion-aware augmentation

Learning-Based Quality Control for Cardiac MR Images

Automated quality control in image segmentation: application to the UK Biobank cardiovascular magnetic resonance imaging study

Independent Left Ventricular Morphometric Atlases Show Consistent Relationships with Cardiovascular Risk Factors: A UK Biobank Study

Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images

Abnormal brain white matter microstructure is associated with both pre-hypertension and hypertension

Multi-Atlas Segmentation Using Partially Annotated Data: Methods and Annotation Strategies

Evaluation of current algorithms for segmentation of scar tissue from late gadolinium enhancement cardiovascular magnetic resonance of the left atrium: an open-access grand challenge

Genome-wide associations of aortic distensibility suggest causality for aortic aneurysms and brain white matter hyperintensities

Improving the Generalizability of Convolutional Neural Network-Based Segmentation on CMR Images

Precision measurement of cardiac structure and function in cardiovascular magnetic resonance using machine learning

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