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A new era for JCMR

Journal of cardiovascular magnetic resonance, 2024, Vol.26 (1), p.100009, Article 100009

Leiner, Tim

2024

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State-of-the-Art Deep Learning in Cardiovascular Image Analysis

JACC. Cardiovascular imaging, 2019-08, Vol.12 (8), p.1549-1565

2019

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SCMR Position Paper (2020) on clinical indications for cardiovascular magnetic resonance

Journal of cardiovascular magnetic resonance, 2020-11, Vol.22 (1), p.76-37, Article 76

2020

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RF coils: A practical guide for nonphysicists

Journal of magnetic resonance imaging, 2018-09, Vol.48 (3), p.590-604

2018

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A Recurrent CNN for Automatic Detection and Classification of Coronary Artery Plaque and Stenosis in Coronary CT Angiography

IEEE transactions on medical imaging, 2019-07, Vol.38 (7), p.1588-1598

2019

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Black‐Blood Contrast in Cardiovascular MRI

Journal of magnetic resonance imaging, 2022-01, Vol.55 (1), p.61-80

2022

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Machine learning in cardiovascular magnetic resonance: basic concepts and applications

Journal of cardiovascular magnetic resonance, 2019-10, Vol.21 (1), p.61-61, Article 61

2019

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Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier

Medical image analysis, 2019-01, Vol.51, p.46-60

2019

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Deep learning analysis of left ventricular myocardium in CT angiographic intermediate-degree coronary stenosis improves the diagnostic accuracy for identification of functionally significant stenosis

European radiology, 2019-05, Vol.29 (5), p.2350-2359

2019

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AI-Based Reconstruction for Fast MRI-A Systematic Review and Meta-Analysis

Proceedings of the IEEE, 2022-02, Vol.110 (2), p.224-245

2022

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Accuracy of iodine quantification using dual energy CT in latest generation dual source and dual layer CT

European radiology, 2017-09, Vol.27 (9), p.3904-3912

2017

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Deep Learning for Automatic Calcium Scoring in CT: Validation Using Multiple Cardiac CT and Chest CT Protocols

Radiology, 2020-04, Vol.295 (1), p.66-79

2020

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Automatic coronary artery calcium scoring in cardiac CT angiography using paired convolutional neural networks

Medical image analysis, 2016-12, Vol.34, p.123-136

2016

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ConvNet-Based Localization of Anatomical Structures in 3-D Medical Images

IEEE transactions on medical imaging, 2017-07, Vol.36 (7), p.1470-1481

2017

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25 Years of Contrast-Enhanced MRI: Developments, Current Challenges and Future Perspectives

Advances in therapy, 2016, Vol.33 (1), p.1-28

2016

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Value of MRI in medicine: More than just another test?

Journal of magnetic resonance imaging, 2019-06, Vol.49 (7), p.e14-e25

2019

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Cardiac Imaging and Individual Risk Assessment: Current State-of-the-Art and Economical Implications

JBR-BTR (Bruxelles), 2016-04, Vol.100 (1)

Leiner, Tim

2016

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Left Atrioventricular Coupling for Early Prediction of Incident Atrial Fibrillation

Radiology, 2022-05, Vol.303 (2), p.327-328

Leiner, Tim

2022

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Radiomics for Predicting Risk of Sudden Cardiac Death in Hypertrophic Cardiomyopathy

JACC. Cardiovascular imaging, 2024-01, Vol.17 (1), p.28-30

Leiner, Tim

2024

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A New Era in Atherosclerotic Plaque Characterization with Photon-counting CT

Radiology, 2021-07, Vol.300 (1), p.210313-109

Leiner, Tim

2021

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Iterative reconstruction techniques for computed tomography part 2: initial results in dose reduction and image quality

European radiology, 2013-06, Vol.23 (6), p.1632-1642

2013

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Accuracy of bone mineral density quantification using dual-layer spectral detector CT: a phantom study

European radiology, 2017-10, Vol.27 (10), p.4351-4359

2017

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Artificial Intelligence Will Transform Cardiac Imaging—Opportunities and Challenges

Frontiers in cardiovascular medicine, 2019-09, Vol.6, p.133-133

2019

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Artificial Intelligence in Cardiothoracic Imaging

1, 2022

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Feasibility of Ai-denoising and Ai-super-resolution to Accelerate Cardiac Cine Imaging: Qualitative and Quantitative Analysis

Journal of cardiovascular magnetic resonance, 2024, Vol.26, p.100989, Article 100989

2024

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A new era for JCMR

State-of-the-Art Deep Learning in Cardiovascular Image Analysis

SCMR Position Paper (2020) on clinical indications for cardiovascular magnetic resonance

RF coils: A practical guide for nonphysicists

A Recurrent CNN for Automatic Detection and Classification of Coronary Artery Plaque and Stenosis in Coronary CT Angiography

Black‐Blood Contrast in Cardiovascular MRI

Machine learning in cardiovascular magnetic resonance: basic concepts and applications

Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier

Deep learning analysis of left ventricular myocardium in CT angiographic intermediate-degree coronary stenosis improves the diagnostic accuracy for identification of functionally significant stenosis

AI-Based Reconstruction for Fast MRI-A Systematic Review and Meta-Analysis

Accuracy of iodine quantification using dual energy CT in latest generation dual source and dual layer CT

Deep Learning for Automatic Calcium Scoring in CT: Validation Using Multiple Cardiac CT and Chest CT Protocols

Automatic coronary artery calcium scoring in cardiac CT angiography using paired convolutional neural networks

ConvNet-Based Localization of Anatomical Structures in 3-D Medical Images

25 Years of Contrast-Enhanced MRI: Developments, Current Challenges and Future Perspectives

Value of MRI in medicine: More than just another test?

Cardiac Imaging and Individual Risk Assessment: Current State-of-the-Art and Economical Implications

Left Atrioventricular Coupling for Early Prediction of Incident Atrial Fibrillation

Radiomics for Predicting Risk of Sudden Cardiac Death in Hypertrophic Cardiomyopathy

A New Era in Atherosclerotic Plaque Characterization with Photon-counting CT

Iterative reconstruction techniques for computed tomography part 2: initial results in dose reduction and image quality

Accuracy of bone mineral density quantification using dual-layer spectral detector CT: a phantom study

Artificial Intelligence Will Transform Cardiac Imaging—Opportunities and Challenges

Artificial Intelligence in Cardiothoracic Imaging

Feasibility of Ai-denoising and Ai-super-resolution to Accelerate Cardiac Cine Imaging: Qualitative and Quantitative Analysis

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