OAK
发表于 2025-3-21 16:30:45
书目名称Medical Imaging and Augmented Reality影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0629301<br><br> <br><br>书目名称Medical Imaging and Augmented Reality影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0629301<br><br> <br><br>书目名称Medical Imaging and Augmented Reality网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0629301<br><br> <br><br>书目名称Medical Imaging and Augmented Reality网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0629301<br><br> <br><br>书目名称Medical Imaging and Augmented Reality被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0629301<br><br> <br><br>书目名称Medical Imaging and Augmented Reality被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0629301<br><br> <br><br>书目名称Medical Imaging and Augmented Reality年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0629301<br><br> <br><br>书目名称Medical Imaging and Augmented Reality年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0629301<br><br> <br><br>书目名称Medical Imaging and Augmented Reality读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0629301<br><br> <br><br>书目名称Medical Imaging and Augmented Reality读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0629301<br><br> <br><br>
暗语
发表于 2025-3-21 22:46:24
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narcotic
发表于 2025-3-22 00:33:35
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Coronary-Spasm
发表于 2025-3-22 08:17:52
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Condyle
发表于 2025-3-22 12:10:00
https://doi.org/10.1007/978-3-642-15699-1CT; EEG; GPU computing; MRI; augmented reality; bronchoscopy; classification; deep brain stimulation; image
hallow
发表于 2025-3-22 13:53:27
0302-9743Reality, MIAR 2010, was held at the China National Convention Center (CNCC), B- jing, China on September 19–20, 2010. MIAR has remained a truly international meeting, bringing together - searchers from all ?elds related to medical image analysis, visualization and targeted intervention.In recent ye
sundowning
发表于 2025-3-22 21:02:04
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murmur
发表于 2025-3-22 21:40:18
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藐视
发表于 2025-3-23 04:41:21
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低能儿
发表于 2025-3-23 08:45:15
Deformable Vessel-Based Registration Using Landmark-Guided Coherent Point Driftto as landmark-guided CPD (LGCPD) – is validated using vessels extracted from brain MRA and liver MR images, and is shown to be robust to missing vessel segments and noise, commonly encountered in realworld applications.