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- 2024
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Mark
Random effects during training : Implications for deep learning-based medical image segmentation
(
- Contribution to journal › Article
- 2023
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Mark
Automatic Segmentation of the Fetus in 3D Magnetic Resonance Images Using Deep Learning : Accurate and Fast Fetal Volume Quantification for Clinical Use
(
- Contribution to journal › Article
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Mark
Prognostic utility and characterization of left ventricular hypertrophy using global thickness
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- Contribution to journal › Article
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Mark
Patients with volume-loaded right ventricle - quantification of left ventricular hemodynamic response to intervention measured by noninvasive pressure-volume loops
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- Contribution to journal › Article
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Mark
Retained Metabolic Flexibility of the Failing Human Heart
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- Contribution to journal › Article
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Mark
Mild hypothermia attenuates ischemia/reperfusion injury - insights from serial non-invasive pressure-volume loops
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- Contribution to journal › Article
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Deep learning can yield clinically useful right ventricular segmentations faster than fully manual analysis
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- Contribution to journal › Article
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Mark
Early-Onset Fetal Growth Restriction Increases Left Ventricular Sphericity in Adolescents Born Very Preterm
2023) In Pediatric Cardiology(
- Contribution to journal › Article
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Mark
Endurance-trained subjects and sedentary controls increase ventricular contractility and efficiency during exercise : Feasibility of hemodynamics assessed by non-invasive pressure-volume loops
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- Contribution to journal › Article
- 2022
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Mark
Super-Resolution Cine Image Enhancement for Fetal Cardiac Magnetic Resonance Imaging
(
- Contribution to journal › Article