FETID
发表于 2025-3-21 19:45:22
书目名称Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPig影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0876376<br><br> <br><br>书目名称Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPig影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0876376<br><br> <br><br>书目名称Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPig网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0876376<br><br> <br><br>书目名称Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPig网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0876376<br><br> <br><br>书目名称Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPig被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0876376<br><br> <br><br>书目名称Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPig被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0876376<br><br> <br><br>书目名称Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPig年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0876376<br><br> <br><br>书目名称Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPig年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0876376<br><br> <br><br>书目名称Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPig读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0876376<br><br> <br><br>书目名称Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPig读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0876376<br><br> <br><br>
Asperity
发表于 2025-3-21 20:25:59
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Palpate
发表于 2025-3-22 02:03:54
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嬉耍
发表于 2025-3-22 04:56:41
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果仁
发表于 2025-3-22 10:00:19
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Acetaldehyde
发表于 2025-3-22 15:36:59
Towards Hyper-Reduction of Cardiac Models Using Poly-affine Transformationsof freedom, allows a lower computational cost while preserving a good accuracy for simple geometries. The method is validated on a cube under simple compression and preliminary results on simplified cardiac geometries are presented, reducing by a factor 100 the number of degrees of freedom.
Console
发表于 2025-3-22 19:58:14
Non-invasive Pressure Estimation in Patients with Pulmonary Arterial Hypertension: Data-Driven or Mo model personalisation and tested its prediction power of catheter data. Standard machine learning methods were also investigated for pulmonary artery pressure prediction. Our preliminary results demonstrated the potential prediction power of both data-driven and model-based approaches.
CAMEO
发表于 2025-3-22 22:19:08
0302-9743 tational Models of the Heart: Atrial Segmentation and LV Quantification Challenges, STACOM 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019...The 42 revised full workshop papers were carefully reviewed and selected from 76 submissions. The topics of the workshop includ
Maximize
发表于 2025-3-23 03:23:16
Co-registered Cardiac , DT Images and Histological Images for Fibrosis Quantificatione processing pipeline developed to quantitatively analyze collagen density and features in a pig model of chronic fibrosis. Specifically, we use . diffusion tensor imaging (DTI) (. mm resolution) to calculate fractional anisotropy maps in: healthy tissue, infarct core (IC) and gray zone (GZ) (i.e.,
Insulin
发表于 2025-3-23 08:35:37
Manufacturing of Ultrasound- and MRI-Compatible Aortic Valves Using 3D Printing for Analysis and Simlead to organ structure change. Aortic stenosis is the most common valve pathology with controversies regarding its optimal management, such as the timing of valve replacement. Therefore, there is emerging demand for analysis and simulation of valves to help researchers and companies to test novel a