小客车 发表于 2025-3-21 18:15:08
书目名称Deformation Models影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0264829<br><br> <br><br>书目名称Deformation Models影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0264829<br><br> <br><br>书目名称Deformation Models网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0264829<br><br> <br><br>书目名称Deformation Models网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0264829<br><br> <br><br>书目名称Deformation Models被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0264829<br><br> <br><br>书目名称Deformation Models被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0264829<br><br> <br><br>书目名称Deformation Models年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0264829<br><br> <br><br>书目名称Deformation Models年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0264829<br><br> <br><br>书目名称Deformation Models读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0264829<br><br> <br><br>书目名称Deformation Models读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0264829<br><br> <br><br>PET-scan 发表于 2025-3-21 21:36:03
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Jozef Rovenský,Juraj Payer,Manfred Heroldts of the strain tensor. The results were combined to investigate the dependencies of these errors on the experimental and signal-processing parameters as well as to determine the effects of one strain component on the estimation of the other. The expressions were evaluated for special cases of axia蛤肉 发表于 2025-3-22 15:10:23
Book 2013 in real world applications. The primary audience for this work are researchers from different multidisciplinary fields, such as those related with Computer Graphics, Computer Vision, Computer Imaging, Biomedicine, Bioengineering, Mathematics, Physics, Medical Imaging and Medicine..蛤肉 发表于 2025-3-22 18:57:48
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A Fast Geometric Deformation Method to Adapt a Foot to a Platformesults presented evaluate the error between deformations and we validate the error of several users (foot and last). Also the low error obtained guarantees the comfort of the foot that is a very important objective in this area of research.嘴唇可修剪 发表于 2025-3-23 01:57:19
Learning-Based Detection and Tracking in Medical Imaging: A Probabilistic Approachode the domain knowledge in shape models and motion models and to learn discriminative image classifiers for the target appearance. The framework robustly fuses the prior information with traditional tracking approaches based on template matching and registration. We demonstrate various medical imag斑驳 发表于 2025-3-23 05:53:17
A Supervised Graph-Cut Deformable Model for Brain MRI Segmentationnd supervised energies based on contextual brain structures are added. Furthermore, boundary detection is reinforced using a new multi-scale edgeness measure. The method is applied to the segmentation of the brain caudate nucleus in a set of 39 pediatric attention-deficit/hyperactivity disorder (ADH