Cardiac Magnetic Resonance Imaging in the German National Cohort (NAKO): Automated Segmentation of Short-Axis Cine Images and Post-Processing Quality Control

The implemented pipeline facilitated the automated segmentation of an extensive CMR dataset, integrating quality control measures. This methodology ensures that ensuing quantitative analyses are conducted with a diminished risk of bias.

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Publication Details

Journal
Journal of Cardiovascular Magnetic Resonance
Published
2025-09-01
DOI
https://doi.org/10.1016/j.jocmr.2025.101958
Citations
1
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.36
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article

Cardiac Magnetic Resonance Imaging in the German National Cohort (NAKO): Automated Segmentation of Short-Axis Cine Images and Post-Processing Quality Control

Karin Halina Greiser, Susanne Rospleszcz, Robin Tibor Schirrmeister, Klaus Maier‐Hein et al.
1 citations
Journal of Cardiovascular Magnetic Resonance
Radiomics and Machine Learning in Medical Imaging
1.36
article

Cardiac Magnetic Resonance Imaging in the German National Cohort (NAKO): Automated Segmentation of Short-Axis Cine Images and Post-Processing Quality Control

Karin Halina Greiser, Susanne Rospleszcz, Robin Tibor Schirrmeister, Klaus Maier‐Hein, Fabian Bamberg, Peter M. Full, Maximilian Frederik Russe, Clemens Ammann, Tobias Pischon, Marco Reisert, Jeanette Schulz‐Menger, Christopher Schuppert, Thoralf Niendorf, Manuel Hein, Christopher L. Schlett
article en
1 citations

Abstract

The implemented pipeline facilitated the automated segmentation of an extensive CMR dataset, integrating quality control measures. This methodology ensures that ensuing quantitative analyses are conducted with a diminished risk of bias.

Journal of Cardiovascular Magnetic Resonance
University of Freiburg (DE), German Cancer Research Center (DE), Max Delbrück Center (DE), Heidelberg University (DE), University Medical Center Freiburg (DE), University Hospital Heidelberg (DE), Humboldt-Universität zu Berlin (DE), Universitäts-Herzzentrum Freiburg-Bad Krozingen (DE), DKFZ-ZMBH Alliance (DE)
Openalex Percentile: Top 16%
Radiomics and Machine Learning in Medical Imaging
1.36
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Cardiac Magnetic Resonance Imaging in the German National Cohort (NAKO): Automated Segmentation of Short-Axis Cine Images and Post-Processing Quality Control — Karin Halina Greiser, Susanne Rospleszcz, et al. · Journal of Cardiovascular Magnetic Resonance (2025) | TGRS Research Map | TGRS