Titlebook: Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPig; 10th International W Mihaela Pop,Maxi

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疲惫的老马

认为

Fully Automatic 3D Bi-Atria Segmentation from Late Gadolinium-Enhanced MRIs Using Double Convolutionand the second CNN performs targeted regional segmentation of the ROI. The CNN comprises of a U-Net backbone enhanced with residual blocks, pre-activation normalization, and a Dice loss to improve accuracy and convergence. The receptive field of the CNN was increased by using 5 × 5 kernels to captur

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Sigmoidoscopy

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Learning Interactions Between Cardiac Shape and Deformation: Application to Pulmonary Hypertension analysis of both features (Partial Least Squares) and related their output to the main characteristics of the studied pathology. We experimented both methods on right ventricular meshes from a population of 254 cases tracked along the cycle (154 with pulmonary hypertension, 100 controls). Despite s

变化

欢乐东方

Deep Learning Surrogate of Computational Fluid Dynamics for Thrombus Formation Risk in the Left Atri to accurately predict the ECAP distributions with an average error of 4.72% for the fully-connected approach and 5.75% for its counterpart. Most importantly, the obtention of the ECAP predictions was quasi-instantaneous, orders of magnitude faster than conventional CFD.

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EVICT