神像之光环
发表于 2025-3-21 17:19:11
书目名称Machine Learning in Clinical Neuroimaging影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0620660<br><br> <br><br>书目名称Machine Learning in Clinical Neuroimaging影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0620660<br><br> <br><br>书目名称Machine Learning in Clinical Neuroimaging网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0620660<br><br> <br><br>书目名称Machine Learning in Clinical Neuroimaging网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0620660<br><br> <br><br>书目名称Machine Learning in Clinical Neuroimaging被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0620660<br><br> <br><br>书目名称Machine Learning in Clinical Neuroimaging被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0620660<br><br> <br><br>书目名称Machine Learning in Clinical Neuroimaging年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0620660<br><br> <br><br>书目名称Machine Learning in Clinical Neuroimaging年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0620660<br><br> <br><br>书目名称Machine Learning in Clinical Neuroimaging读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0620660<br><br> <br><br>书目名称Machine Learning in Clinical Neuroimaging读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0620660<br><br> <br><br>
GLOOM
发表于 2025-3-21 23:25:16
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预定
发表于 2025-3-22 00:24:23
Machine Learning in Clinical Neuroimaging978-3-031-17899-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
prediabetes
发表于 2025-3-22 07:37:40
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/620660.jpg
Affiliation
发表于 2025-3-22 10:21:13
Joint Reconstruction and Parcellation of Cortical Surfacesanch and another based on a novel generic 3D reconstruction loss, to augment template-deformation algorithms such that the surface meshes directly come with an atlas-based brain parcellation. By combining both options with two of the latest cortical surface reconstruction algorithms, we attain highl
闹剧
发表于 2025-3-22 15:34:25
A Study of Demographic Bias in CNN-Based Brain MR Segmentationance. The biases have a strong spatial component, with some brain regions exhibiting much stronger bias than others. Overall, our results suggest that race bias is more significant than sex bias. Our study demonstrates the importance of considering race and sex balance when forming training sets for
联邦
发表于 2025-3-22 17:39:58
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Enteropathic
发表于 2025-3-23 01:07:28
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精密
发表于 2025-3-23 05:16:42
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临时抱佛脚
发表于 2025-3-23 07:37:43
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