Article

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

2025-05-21

Abstract excerpt

<h4>Purpose</h4> To develop a segmentation and quality control pipeline for short-axis cardiac magnetic resonance (CMR) cine images from the prospective, multi-center German National Cohort (NAKO). <h4>Materials and Methods</h4> A deep learning model for semantic segmentation, based on the nnU-Net architecture, was applied to full-cycle short-axis cine images from 29,908 baseline participants. The primary objectiv...

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Literature Corpus work: fbdc09c8-9844-5789-9f85-dc1d56324f2b
DOI: 10.1101/2025.05.20.25328013

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