Titlebook: Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Cent; 12th International W Esther Puyol Ant

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书目名称Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Cent影响因子(影响力)




书目名称Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Cent影响因子(影响力)学科排名




书目名称Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Cent网络公开度




书目名称Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Cent网络公开度学科排名




书目名称Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Cent被引频次




书目名称Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Cent被引频次学科排名




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书目名称Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Cent年度引用学科排名




书目名称Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Cent读者反馈




书目名称Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Cent读者反馈学科排名

RUPT

Novel Imaging Biomarkers to Evaluate Heart Dysfunction Post-chemotherapy: A Preclinical MRI Feasibilsed T2-derived edema appeared to resolve by week 5. Furthermore, a gradual deposition of diffuse fibrosis post-DXO was identified by T1 values and LGE, and confirmed by collagen-sensitive histological stains. Our preliminary results will help establish MR imaging protocols and models that predict ea

Comprise

A Bi-atrial Statistical Shape Model as a Basis to Classify Left Atrial Enlargement from Simulated anrent conduction velocity settings and 2 different torso models were conducted. Extracting the P waves of the 12-lead ECG thus yielded a synthetic dataset of 1,900 signals. Besides the simulated data, 7,168 healthy and 309 LAE ECGs from a public clinical ECG database were available for training and t

大火

The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Imagesion in short axis cardiac MR images. Our dataset contains short axis images from 4 different MR scanners and 3 different pathology groups. The training is performed with nnUNet. The results show that scanner differences cause a greater drop in performance compared to changing the pathology group, an

extemporaneous

合并

Generating Subpopulation-Specific Biventricular Anatomy Models Using Conditional Point Cloud Variati on a dataset derived from the UK Biobank study with average Chamfer distances between reconstructed and gold standard point clouds below the underlying image pixel resolution, for all anatomical substructures and combinations of conditional inputs. We investigate our method’s generative capabilitie

synovial-joint

妨碍议事

Mesh Convolutional Neural Networks for Wall Shear Stress Estimation in 3D Artery ModelsSS vectors on this surface mesh. Our method processes new meshes in less than 5 , consistently achieves a normalised mean absolute error of . [%], and peaks at 90.5 [%] median approximation accuracy over the held-out test set, comparing favourably to previously published work. This demonstrates t

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