Deep learning super-resolution reconstruction for fast and high-quality cine cardiovascular magnetic resonance

Dmitrij Kravchenko; Alexander Isaak; Narine Mesropyan; Johannes Peeters; Daniel Kuetting; Claus C. Pieper; Christoph Katemann; Ulrike Attenberger; Tilman Emrich; Ákos Varga‐Szemes; Julian A. Luetkens

doi:10.1007/s00330-024-11145-0

JOURNAL ARTICLE

Deep learning super-resolution reconstruction for fast and high-quality cine cardiovascular magnetic resonance

Dmitrij Kravchenko Alexander Isaak Narine Mesropyan Johannes Peeters Daniel Kuetting Claus C. Pieper Christoph Katemann Ulrike Attenberger Tilman Emrich Ákos Varga‐Szemes Julian A. Luetkens

Year: 2024 Journal: European Radiology Vol: 35 (5)Pages: 2877-2887 Publisher: Springer Science+Business Media

DOI: 10.1007/s00330-024-11145-0

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Keywords:

Medicine Magnetic resonance imaging Intraclass correlation Nuclear medicine Ejection fraction Neuroradiology Wilcoxon signed-rank test Image quality Confidence interval Radiology Artificial intelligence Heart failure Mann–Whitney U test Cardiology Internal medicine Image (mathematics) Neurology

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Topics

Advanced MRI Techniques and Applications

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Cardiac Imaging and Diagnostics

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Medical Imaging Techniques and Applications

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

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