帐簿
发表于 2025-3-21 17:48:10
书目名称Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0876370<br><br> <br><br>书目名称Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0876370<br><br> <br><br>书目名称Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0876370<br><br> <br><br>书目名称Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0876370<br><br> <br><br>书目名称Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0876370<br><br> <br><br>书目名称Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0876370<br><br> <br><br>书目名称Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0876370<br><br> <br><br>书目名称Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0876370<br><br> <br><br>书目名称Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0876370<br><br> <br><br>书目名称Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0876370<br><br> <br><br>
LAST
发表于 2025-3-21 21:04:28
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利用
发表于 2025-3-22 04:26:27
Infarct Segmentation Challenge on Delayed Enhancement MRI of the Left Ventricleimage and included in this study. A ground truth consensus segmentation based on all human rater segmentations was obtained using an Expectation-Maximization (EM) method (the STAPLE method). Automated segmentations from five groups contributed to this challenge.
Acetaldehyde
发表于 2025-3-22 05:02:18
Motion Estimation in 3D Echocardiography Using Smooth Field Registration unknown field with a Gaussian kernel. We apply our algorithm to datasets with reliable ground truth: a set of synthetic sequences with known trajectories and a set of sequences of a mechanical phantom implanted with microsonometry crystals.
Overdose
发表于 2025-3-22 12:23:38
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Exhilarate
发表于 2025-3-22 13:09:32
A 1D Lumped-Parameter/3D CFD Approach for Pressure Drop in the Aortic Coarctationuid with density r = 0.001 gr/mm3 and a dynamic viscosity m = 0.004 gr/mm/sec in laminar flow. The boundary conditions of the 3D model (inlet and outlet conditions) have been calculated using a 1D model. Parallelization procedures will be used in order to increase the performance of the CFD calculations.
interrogate
发表于 2025-3-22 18:51:43
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Deceit
发表于 2025-3-23 00:45:34
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characteristic
发表于 2025-3-23 01:42:26
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pulmonary
发表于 2025-3-23 06:06:53
Discriminative Context Modeling Using Auxiliary Markers for LV Landmark Detection from a Single MR Icontext with more discriminative power. The presented approach is evaluated on the STACOM2012 database, containing 100 independent test cases. Automatic landmark detection targets include two mitral valve landmarks in a long axis image, two RV insert landmarks in a short-axis image, and one central axis point in an LV base image.