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Titlebook: Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges; 11th International W Esther Puyol Anton,Mihaela Pop,

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Estimation of Cardiac Valve Annuli Motion with Deep Learningunction. Measurements such as long-axis strain as well as peak strain rates provide markers of systolic function. Likewise, early and late-diastolic filling velocities are used as indicators of diastolic function. Quantifying global strains, however, requires a fast and precise method of tracking lo
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Modelling Cardiac Motion via Spatio-Temporal Graph Convolutional Networks to Boost the Diagnosis of set. We compare different strategies for constructing cardiac structure graphs. Experiments show that the proposed methods perform well in estimating endocardial radii and characterising cardiac motion features for regional LV analysis.
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