Lund Cardiac MR Group
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- 2024
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Mark
Right ventricular dyssynchrony predicts outcome in pulmonary arterial hypertension when assessed in multiple cardiac magnetic resonance views
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- Contribution to journal › Article
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Mark
Random effects during training : Implications for deep learning-based medical image segmentation
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- Contribution to journal › Article
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Mark
Tricuspid valve flow measurement using a deep learning framework for automated valve-tracking 2D phase contrast
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- Contribution to journal › Article
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Mark
Short- and long-term prognostic performance of exercise ECG and myocardial perfusion SPECT
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- Contribution to journal › Article
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Mark
Flow inefficiencies in non-obstructive HCM revealed by kinetic energy and hemodynamic forces on 4D-flow CMR
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- Contribution to journal › Article
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Mark
Three-dimensional aortic arch geometry and blood flow in neonates after surgical repair for aortic coarctation
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- Contribution to journal › Article
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Mark
Diagnostic confidence with quantitative cardiovascular magnetic resonance perfusion mapping increases with increased coverage of the left ventricle
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- Contribution to journal › Article
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Mark
Training deep learning based dynamic MR image reconstruction using open-source natural videos
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- Contribution to journal › Article
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Mark
Utility of Simultaneous Left Atrial Strain–Volume Relationship During Passive Leg Lift to Identify Elevated Left Ventricular Filling Pressure—A Proof-of-Concept Study
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- Contribution to journal › Article
- 2023
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Mark
Deep learning can yield clinically useful right ventricular segmentations faster than fully manual analysis
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- Contribution to journal › Article