DUCT
发表于 2025-3-21 17:54:45
书目名称Medical Image Computing and Computer-Assisted Intervention - MICCAI 2000影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0629238<br><br> <br><br>书目名称Medical Image Computing and Computer-Assisted Intervention - MICCAI 2000影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0629238<br><br> <br><br>书目名称Medical Image Computing and Computer-Assisted Intervention - MICCAI 2000网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0629238<br><br> <br><br>书目名称Medical Image Computing and Computer-Assisted Intervention - MICCAI 2000网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0629238<br><br> <br><br>书目名称Medical Image Computing and Computer-Assisted Intervention - MICCAI 2000被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0629238<br><br> <br><br>书目名称Medical Image Computing and Computer-Assisted Intervention - MICCAI 2000被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0629238<br><br> <br><br>书目名称Medical Image Computing and Computer-Assisted Intervention - MICCAI 2000年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0629238<br><br> <br><br>书目名称Medical Image Computing and Computer-Assisted Intervention - MICCAI 2000年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0629238<br><br> <br><br>书目名称Medical Image Computing and Computer-Assisted Intervention - MICCAI 2000读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0629238<br><br> <br><br>书目名称Medical Image Computing and Computer-Assisted Intervention - MICCAI 2000读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0629238<br><br> <br><br>
丰富
发表于 2025-3-21 23:26:20
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Obloquy
发表于 2025-3-22 01:17:14
978-3-540-41189-5Springer-Verlag Berlin Heidelberg 2000
grovel
发表于 2025-3-22 05:26:28
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2000978-3-540-40899-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
夹克怕包裹
发表于 2025-3-22 11:09:12
0302-9743 Overview: Includes supplementary material: 978-3-540-41189-5978-3-540-40899-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
Factorable
发表于 2025-3-22 15:44:59
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gregarious
发表于 2025-3-22 20:06:58
Automatic Recognition of Cortical Sulci Using a Congregation of Neural Networks given by a multi-layer perceptron trained on a learning database. A base of 26 brains manually labelled by a neuroanatomist is used to validate our approach. The whole system developed for the right hemisphere is made up of 265 neural networks.
颂扬国家
发表于 2025-3-22 23:38:34
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aerobic
发表于 2025-3-23 03:45:20
Registration of 3D Intraoperative MR Images of the Brain Using a Finite Element Biomechanical Modelm, and a good capability of measuring surface as well as subsurface shift. We measured distances between landmarks in the deformed initial image and the corresponding landmarks in the target scan. The surface shift was recovered from up to 1cm down to less than 1mm, and subsurface shift from up to 6mm down to 3mm or less.
exorbitant
发表于 2025-3-23 09:31:32
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