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

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Interpretable Prediction of Post-Infarct Ventricular Arrhythmia Using Graph Convolutional NetworkThis allows the model to process the data on the 3D patient anatomy and bypass the “grid" structure limitation of the traditional convolutional neural network. The model was trained and evaluated on a dataset of 600 patients (27. VA), using 451 (3/4) and 149 (1/4) patients as training and testing da

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Unsupervised Echocardiography Registration Through Patch-Based MLPs and Transformersansformers. We provide experiments on 2D-echocardiography registration to answer the former question partially and provide a benchmark solution. Our results on a large public 2D-echocardiography dataset show that the patch-based MLP/Transformer model can be effectively used for unsupervised echocard

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Sensitivity Analysis of Left Atrial Wall Modeling Approaches and Inlet/Outlet Boundary Conditions in walls; 2) with a passive movement of the mitral valve annulus plane from a dynamic mesh approach based on springs (DM-SB); and 3) imposing LA wall deformation extracted from dynamic computed tomography (DM-dCT) images. Different strategies for the inlet/outlet boundary conditions were also tested.

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Maria Inmaculada Villanueva,Marc López,Sergio Sánchez,Patricia Garcia-Cañadilla,Paula C. Randanne,Ammplexity results and lower bounds, giving negative evidence by way of W[1]-hardness, the Exponential Time Hypothesis, and kernelization lower bounds..All the results and concepts are introduced at a level acces978-3-319-35702-7978-3-319-21275-3

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