FARCE
发表于 2025-3-21 16:50:20
书目名称Computational Diffusion MRI影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0232242<br><br> <br><br>书目名称Computational Diffusion MRI影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0232242<br><br> <br><br>书目名称Computational Diffusion MRI网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0232242<br><br> <br><br>书目名称Computational Diffusion MRI网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0232242<br><br> <br><br>书目名称Computational Diffusion MRI被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0232242<br><br> <br><br>书目名称Computational Diffusion MRI被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0232242<br><br> <br><br>书目名称Computational Diffusion MRI年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0232242<br><br> <br><br>书目名称Computational Diffusion MRI年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0232242<br><br> <br><br>书目名称Computational Diffusion MRI读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0232242<br><br> <br><br>书目名称Computational Diffusion MRI读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0232242<br><br> <br><br>
CODA
发表于 2025-3-21 21:05:24
Conference proceedings 2023nference on Medical Image Computing and Computer-Assisted Intervention. The conference took place in Vancouver, BC, Canada, on October 8, 2023...The 17regular papers presented in this book were carefully reviewed and selected from 19 submissions. These contributions cover various aspects, including
6Applepolish
发表于 2025-3-22 02:35:10
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MENT
发表于 2025-3-22 06:15:32
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MAG
发表于 2025-3-22 10:42:30
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元音
发表于 2025-3-22 15:10:08
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元音
发表于 2025-3-22 17:34:46
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宣称
发表于 2025-3-22 22:29:11
,Automatic Fast and Reliable Recognition of a Small Brain White Matter Bundle,ty data, we demonstrate that the novel method proposed here generalizes broadly in subjects from three different datasets with differing data quality and a broad age range. Finally, we describe how this approach could be easily extended to other small bundles.
parsimony
发表于 2025-3-23 03:27:23
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arterioles
发表于 2025-3-23 08:41:25
,Diffusion Phantom Study of Fiber Crossings at Varied Angles Reconstructed with ODF-Fingerprinting,fusion phantoms composed of textile tubes with 0.8 .m diameter, approaching the anatomical scale of axons. Our results show that ODF-FP is able to correctly identify . of the crossing fibers regardless of the crossing angle and provide the highest average reconstruction accuracy.