Comparison of Reliability Visualization Methods.

<div><p>Background</p><p>Artificial intelligence (AI) methods have established themselves in cardiovascular magnetic resonance (CMR) as automated quantification tools for ventricular volumes, function, and myocardial tissue characterization. Quality assurance approaches focus...

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Bibliographic Details
Main Author:	Thomas Hadler (16824824) (author)
Other Authors:	Clemens Ammann (13049646) (author), Hadil Saad (13041813) (author), Leonhard Grassow (18285694) (author), Philine Reisdorf (21377513) (author), Steffen Lange (5122865) (author), Sascha Däuber (21377516) (author), Jeanette Schulz-Menger (148459) (author)
Published:	2025
Subjects:	Medicine Biotechnology Infectious Diseases Mathematical Sciences not elsewhere classified myocardial tissue characterization cardiovascular magnetic resonance parametric test assumptions variance tolerance ranges variance tolerance intervals artificial intelligence methods visualizing reliability assessments decisively communicated ai xlink "> bias novel statistical visualization clear agreement criteria automated quantification tools various ai methods better communicate reliability statistical test novel method reliability plot illustrate ai controlling ai within bias verity plot ventricular volumes successfully applied study introduces statstistcal properties scatter plot quantitative parameters outlier detection interreader evaluations expert differences expert bias expert agreement bias confidence
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Comparison of Reliability Visualization Methods.

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