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Johanna Kuhnt

Comparison of manual and artificial intelligence based quantification of myocardial strain by feature tracking—a cardiovascular MR study in health and disease
2023 · Jan Gröschel, Johanna Kuhnt, et al. · European Radiology · 20
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Sex-specific structural and functional cardiac remodeling during healthy aging assessed by cardiovascular magnetic resonance
2024 · Leonhard Grassow, Jan Gröschel, et al. · Clinical Research in Cardiology · 14
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Myocardial injury in patients with acute ischemic stroke detected by cardiovascular magnetic resonance imaging
2023 · E. Blaszczyk, S. Hellwig, et al. · European Journal of Radiology · 14
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Reproducibility of late gadolinium enhancement quantification techniques in ischemic and non-ischemic heart diseases (ReLate study)
2025 · Jonathan Gavrysh, Philine Reisdorf, et al. · Frontiers in Cardiovascular Medicine · 6
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Analysis of confounders of the image quality of a high-resolution isotropic three-dimensional Dixon water-fat late gadolinium enhancement technique
2025 · Johanna Kuhnt, Edyta Blaszczyk, et al. · Journal of Cardiovascular Magnetic Resonance · 3
Confounders, diagnostic accuracy, and reproducibility in cardiovascular magnetic resonance-feature tracking-derived left atrial strain: A Berlin Research Network for cardiovascular magnetic resonance multi-software, multi-site comparison
2026 · Leo Dyke Krüger, Leonhard Grassow, et al. · Journal of Cardiovascular Magnetic Resonance · 2
Reslice3Dto2D: Introduction of a software tool to reformat 3D volumes into reference 2D slices in cardiovascular magnetic resonance imaging
2024 · Darian Viezzer, Maximilian Fenski, et al. · BMC Research Notes · 2
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O-009 Adapt therapy as frontline approach to treat patients with m2 and m3 occlusions in acute ischemic stroke – initial clinical experience of the ace and 3max reperfusion system
2017 · J Altenbernd, J Kuhnt, et al. · 1
Deep-Learning-based Quantification of Epicardial Adipose Tissue by 3D Dixon Cardiovascular Magnetic Resonance
2026 · Halil Noyan, Richard Hickstein, et al. · medRxiv
Evaluating the Reliability of Intraventricular Flow Parameters Using 4D Flow CMR: A Multicenter Study with Healthy Volunteers from the Berlin Cardiovascular Magnetic Resonance Research Network
2026 · Elias Daud, Ralf Felix Trauzeddel, et al. · Journal of Cardiovascular Magnetic Resonance
Deep-Learning Quantification of Epicardial Adipose Tissue based on 3D Dixon MRI
2026 · Halil Noyan, Richard Hickstein, et al. · Journal of Cardiovascular Magnetic Resonance
A semi-automated quality assurance tool for cardiovascular magnetic resonance imaging: application to outlier detection, artificial intelligence evaluation and trainee feedback
2025 · Thomas Hadler, Leonhard Grassow, et al. · BMC Medical Informatics and Decision Making
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Relation between troponin T and I elevation and myocardial alterations detected by CMR in muscular dystrophies.
2025 · Edyta Blaszczyk, Jan Gröschel, et al. · Journal of Cardiovascular Magnetic Resonance
Confounders in CMR-feature tracking derived left atrial strain analysis: A multi-vendor, multi-centre comparison
2025 · Leo D. Krüger, Jeanette Schulz-Menger, et al. · Journal of Cardiovascular Magnetic Resonance
A semi-automated quality assurance tool for cardiovascular magnetic resonance imaging: application to outlier detection, artificial intelligence evaluation and trainee feedback
2025 · Hadler, Thomas, Grassow, Leonhard, et al. · Fraunhofer-Publica (Fraunhofer-Gesellschaft)
On the Comparability of Automated Post-processing: A Comparison of Artificial Intelligences on Patients with Different Phenotypes
2024 · Thomas Hadler, Hadil Saad, et al. · Journal of Cardiovascular Magnetic Resonance
Robustness Assessment of an Artificial Intelligence Algorithm for Function Assessment and Parametric Mapping on Different Phenotypes in CMR
2024 · Hadil Saad, Thomas Hadler, et al. · Journal of Cardiovascular Magnetic Resonance
Cardiac Involvement in Muscular Dystrophy: impact of Troponins T and I - Evaluation Applying CMR
2024 · Edyta Blaszczyk, Leonhard Grassow, et al. · Journal of Cardiovascular Magnetic Resonance
Works count: 23
Citation count: 62
H-index: 4
I10-index: 3
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