用树皮 发表于 2025-4-1 05:46:36
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 dafollicle 发表于 2025-4-1 07:40:39
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 echocardfoodstuff 发表于 2025-4-1 10:33:41
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.自然环境 发表于 2025-4-1 16:16:37
http://reply.papertrans.cn/88/8764/876377/876377_64.pngBanquet 发表于 2025-4-1 19:15:01
http://reply.papertrans.cn/88/8764/876377/876377_65.png最小 发表于 2025-4-1 22:41:17
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-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柔软 发表于 2025-4-2 06:16:42
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