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- 2022
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Mark
Noninvasive Assessment of Left Ventricular Pressure-Volume Relations : Inter- and Intraobserver Variability and Assessment Across Heart Failure Subtypes
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- Contribution to journal › Article
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Mark
Pulse Wave Velocity Measurements by Magnetic Resonance Imaging in Neonates and Adolescents : Methodological Aspects and Their Clinical Implications
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- Contribution to journal › Article
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Mark
Kinetic energy of left ventricular blood flow across heart failure phenotypes and in subclinical diastolic dysfunction
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- Contribution to journal › Article
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Mark
Haemodynamic left-ventricular changes during dobutamine stress in patients with atrial septal defect assessed with magnetic resonance imaging-based pressure–volume loops
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- Contribution to journal › Article
- 2021
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Mark
Automated left atrial time-resolved segmentation in MRI long-axis cine images using active contours
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- Contribution to journal › Article
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Mark
Atrioventricular plane displacement versus mitral and tricuspid annular plane systolic excursion : a comparison between cardiac magnetic resonance and M-mode echocardiography
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- Contribution to journal › Article
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Mark
Non-invasive quantification of pressure-volume loops from cardiovascular magnetic resonance at rest and during dobutamine stress
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- Contribution to journal › Article
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Mark
TVnet : Automated Time-Resolved Tracking of the Tricuspid Valve Plane in MRI Long-Axis Cine Images with a Dual-Stage Deep Learning Pipeline
2021) 24th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2021 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 12906 LNCS. p.567-576(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Regional contributions to left ventricular stroke volume determined by cardiac magnetic resonance imaging in cardiac resynchronization therapy
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- Contribution to journal › Article
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Mark
MVnet : automated time-resolved tracking of the mitral valve plane in CMR long-axis cine images with residual neural networks: a multi-center, multi-vendor study
(
- Contribution to journal › Article