FETID
发表于 2025-3-21 17:12:01
书目名称Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0629251<br><br> <br><br>书目名称Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0629251<br><br> <br><br>书目名称Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0629251<br><br> <br><br>书目名称Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0629251<br><br> <br><br>书目名称Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0629251<br><br> <br><br>书目名称Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0629251<br><br> <br><br>书目名称Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0629251<br><br> <br><br>书目名称Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0629251<br><br> <br><br>书目名称Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0629251<br><br> <br><br>书目名称Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0629251<br><br> <br><br>
Folklore
发表于 2025-3-22 00:10:11
Statistical Location Model for Abdominal Organ Localizationg with the spine and their relative locations remain relatively stable, we built a statistical location model (SLM) and applied it to abdominal organ localization. The model is a point distribution model which learns the pattern of variability of organ locations relative to the spinal column from a
Supplement
发表于 2025-3-22 02:46:52
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Glossy
发表于 2025-3-22 06:42:50
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Indolent
发表于 2025-3-22 09:32:40
Organ Segmentation with Level Sets Using Local Shape and Appearance Priorseity of structures outside of an organ of interest. However, most of these methods rely on landmark based segmentation, which has certain drawbacks. We propose to perform organ segmentation with a novel level set algorithm that incorporates local statistics via a highly efficient point tracking mech
Cholecystokinin
发表于 2025-3-22 13:50:15
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Tidious
发表于 2025-3-22 20:50:06
Airway Tree Extraction with Locally Optimal Pathsst to commonly used region growing based approaches that only search the space of the immediate neighbors. The result is a much more robust method for tree extraction that can overcome local occlusions. The cost function for obtaining the optimal paths takes into account of an airway probability map
Foam-Cells
发表于 2025-3-23 01:16:34
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ATRIA
发表于 2025-3-23 04:35:13
A Deformation Tracking Approach to 4D Coronary Artery Tree Reconstructiones acquired by a rotating C-arm. Our algorithm starts from a 3D coronary tree that was reconstructed from images of one cardiac phase. Driven by gradient vector flow (GVF) fields, the method then estimates deformation such that projections of deformed models align with X-ray images of corresponding
Neuralgia
发表于 2025-3-23 05:42:30
Automatic Extraction of Mandibular Nerve and Bone from Cone-Beam CT Data. Cone beam computed tomography (CBCT), often also called digital volume tomography (DVT), is increasingly utilized in maxillofacial or dental imaging. Compared to conventional CT, however, soft tissue discrimination is worse due to a reduced dose. Thus, small structures like the alveolar nerves are