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Fully automated quantification of in vivo viscoelasticity of prostate zones using magnetic resonance elastography with Dense U-net segmentation

Scientific reports, 2022-02, Vol.12 (1), p.2001-2001, Article 2001

2022

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Assessment of hemodynamic responses to exercise in aortic coarctation using MRI-ergometry in combination with computational fluid dynamics

Scientific reports, 2020-11, Vol.10 (1), p.18894-18894, Article 18894

2020

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Wall shear stress estimation in the aorta: Impact of wall motion, spatiotemporal resolution, and phase noise

Journal of magnetic resonance imaging, 2018-09, Vol.48 (3), p.718-728

2018

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Retrograde aortic blood flow as a mechanism of stroke: MR evaluation of the prevalence in a population-based study

European radiology, 2019-10, Vol.29 (10), p.5172-5179

2019

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Determination of aortic stiffness using 4D flow cardiovascular magnetic resonance - a population-based study

Journal of cardiovascular magnetic resonance, 2018-06, Vol.20 (1), p.43-43, Article 43

2018

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Characterization of aortic aging using 3D multi-parametric MRI-long-term follow-up in a population study

Scientific reports, 2023-04, Vol.13 (1), p.6285-6285, Article 6285

2023

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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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Automatic Quantification of ECV FBom SAX T1 Maps

Journal of cardiovascular magnetic resonance, 2024, Vol.26, p.100820, Article 100820

2024

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Carotid geometry is an independent predictor of wall thickness - a 3D cardiovascular magnetic resonance study in patients with high cardiovascular risk

Journal of cardiovascular magnetic resonance, 2020-09, Vol.22 (1), p.67-67, Article 67

2020

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Repeatability and reproducibility of various 4D Flow MRI postprocessing software programs in a multi-software and multi-vendor cross-over comparison study

Journal of cardiovascular magnetic resonance, 2023-03, Vol.25 (1), p.22-22, Article 22

2023

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A Collaborative Approach for the Development and Application of Machine Learning Solutions for CMR-Based Cardiac Disease Classification

Frontiers in cardiovascular medicine, 2022-03, Vol.9, p.829512-829512

2022

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Pressure Fields by Flow-Sensitive, 4D, Velocity-Encoded CMR in Patients With Aortic Coarctation

JACC. Cardiovascular imaging, 2014-09, Vol.7 (9), p.920-926

2014

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In vivo analysis of physiological 3D blood flow of cerebral veins

European radiology, 2015-08, Vol.25 (8), p.2371-2380

2015

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Aortic atheroma as a source of stroke - assessment of embolization risk using 3D CMR in stroke patients and controls

Journal of cardiovascular magnetic resonance, 2017-09, Vol.19 (1), p.67-67, Article 67

2017

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Application of Different Approaches to Aortic Pulse Wave Velocity and Aortic Distensibility by CMR in the Hamburg City Health Study

Journal of cardiovascular magnetic resonance, 2024, Vol.26, p.100617, Article 100617

2024

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Cerebral Aneurysm Detection and Analysis: First Challenge, CADA 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings

1, 2021

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A simulation-based phantom model for generating synthetic mitral valve image data–application to MRI acquisition planning

International journal for computer assisted radiology and surgery, 2024-03, Vol.19 (3), p.553-569

2024

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Interactive editing of virtual chordae tendineae for the simulation of the mitral valve in a decision support system

International journal for computer assisted radiology and surgery, 2021-01, Vol.16 (1), p.125-132

2021

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Measurement of cardiac valve and aortic blood flow velocities in stroke patients: a comparison of 4D flow MRI and echocardiography

The International Journal of Cardiovascular Imaging, 2018-06, Vol.34 (6), p.939-946

2018

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Spatially Resolved Radiomics Feature Signatures in LGE MRI in Children and Adolescents with Myocarditis – Observations From the Multicenter Registry MYKKE

Journal of cardiovascular magnetic resonance, 2024, Vol.26, p.100743, Article 100743

2024

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Image-to-image generative adversarial networks for synthesizing perfusion parameter maps from DSC-MR images in cerebrovascular disease

Frontiers in neurology, 2023-01, Vol.13, p.1051397-1051397

2023

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Cascaded neural network-based CT image processing for aortic root analysis

International journal for computer assisted radiology and surgery, 2022-03, Vol.17 (3), p.507-519

2022

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Age-related changes of right atrial morphology and inflow pattern assessed using 4D flow cardiovascular magnetic resonance: results of a population-based study

Journal of cardiovascular magnetic resonance, 2018-06, Vol.20 (1), p.38-38, Article 38

2018

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Combining position-based dynamics and gradient vector flow for 4D mitral valve segmentation in TEE sequences

International journal for computer assisted radiology and surgery, 2020, Vol.15 (1), p.119-128

2020

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Wearable devices can predict the outcome of standardized 6-minute walk tests in heart disease

NPJ digital medicine, 2020-07, Vol.3 (1), p.92-92, Article 92

2020

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Fully automated quantification of in vivo viscoelasticity of prostate zones using magnetic resonance elastography with Dense U-net segmentation

Assessment of hemodynamic responses to exercise in aortic coarctation using MRI-ergometry in combination with computational fluid dynamics

Wall shear stress estimation in the aorta: Impact of wall motion, spatiotemporal resolution, and phase noise

Retrograde aortic blood flow as a mechanism of stroke: MR evaluation of the prevalence in a population-based study

Determination of aortic stiffness using 4D flow cardiovascular magnetic resonance - a population-based study

Characterization of aortic aging using 3D multi-parametric MRI-long-term follow-up in a population study

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

Automatic Quantification of ECV FBom SAX T1 Maps

Carotid geometry is an independent predictor of wall thickness - a 3D cardiovascular magnetic resonance study in patients with high cardiovascular risk

Repeatability and reproducibility of various 4D Flow MRI postprocessing software programs in a multi-software and multi-vendor cross-over comparison study

A Collaborative Approach for the Development and Application of Machine Learning Solutions for CMR-Based Cardiac Disease Classification

Pressure Fields by Flow-Sensitive, 4D, Velocity-Encoded CMR in Patients With Aortic Coarctation

In vivo analysis of physiological 3D blood flow of cerebral veins

Aortic atheroma as a source of stroke - assessment of embolization risk using 3D CMR in stroke patients and controls

Application of Different Approaches to Aortic Pulse Wave Velocity and Aortic Distensibility by CMR in the Hamburg City Health Study

Cerebral Aneurysm Detection and Analysis: First Challenge, CADA 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings

A simulation-based phantom model for generating synthetic mitral valve image data–application to MRI acquisition planning

Interactive editing of virtual chordae tendineae for the simulation of the mitral valve in a decision support system

Measurement of cardiac valve and aortic blood flow velocities in stroke patients: a comparison of 4D flow MRI and echocardiography

Spatially Resolved Radiomics Feature Signatures in LGE MRI in Children and Adolescents with Myocarditis – Observations From the Multicenter Registry MYKKE

Image-to-image generative adversarial networks for synthesizing perfusion parameter maps from DSC-MR images in cerebrovascular disease

Cascaded neural network-based CT image processing for aortic root analysis

Age-related changes of right atrial morphology and inflow pattern assessed using 4D flow cardiovascular magnetic resonance: results of a population-based study

Combining position-based dynamics and gradient vector flow for 4D mitral valve segmentation in TEE sequences

Wearable devices can predict the outcome of standardized 6-minute walk tests in heart disease

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