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Titlebook: Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers; 13th International W Oscar Camara,Esthe

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Multi-modal Latent-Space Self-alignment for Super-Resolution Cardiac MR Segmentationn anatomical prior derived from unpaired 3D high-resolution CT scans. On 3D MR angiograms, the trained pipeline produced high-resolution segments that preserve an anatomical prior derived from patients with various cardiovascular diseases.
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Personalized Fast Electrophysiology Simulations to Evaluate Arrhythmogenicity of Ventricular Slow Coeline to four patients that have suffered a myocardial infarction, reproducing successfully predicting patient arrhythmogeneity in all cases with low computational times compatible with clinical routine (less than 4 h).
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