firearm
发表于 2025-3-21 17:48:39
书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2018影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0629189<br><br> <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2018影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0629189<br><br> <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2018网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0629189<br><br> <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2018网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0629189<br><br> <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2018被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0629189<br><br> <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2018被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0629189<br><br> <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2018年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0629189<br><br> <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2018年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0629189<br><br> <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2018读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0629189<br><br> <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2018读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0629189<br><br> <br><br>
manifestation
发表于 2025-3-21 22:24:59
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ascetic
发表于 2025-3-22 03:43:03
Conditional Generative Adversarial Networks for Metal Artifact Reduction in CT Images of the Ear segmentations of intra-cochlear anatomical structures, which are obtained with a previously published method, in the real pre-implantation and the artifact-corrected CTs. We show that the proposed method leads to an average surface error of 0.18 mm which is about half of what could be achieved with
议程
发表于 2025-3-22 05:56:57
Deep Convolutional Filtering for Spatio-Temporal Denoising and Artifact Removal in Arterial Spin Labn of perfusion, even in challenging datasets, this technique offers an exciting new approach for ASL pipelines, and might be used both for improving individual images and to increase the power of research studies using ASL.
残酷的地方
发表于 2025-3-22 11:29:02
DeepASL: Kinetic Model Incorporated Loss for Denoising Arterial Spin Labeled MRI via Deep Residual L mapping from noisy perfusion-weighted image and its subtraction (residual) from the clean image. Additionally, we incorporate the CBF estimation model in the loss function during training, which enables the network to produce high quality images while simultaneously enforcing the CBF estimates to b
Indict
发表于 2025-3-22 15:30:41
Direct Estimation of Pharmacokinetic Parameters from DCE-MRI Using Deep CNN with Forward Physical Mon of PK parameters. Experiments on clinical brain DCE datasets demonstrate the efficacy of our approach in terms of fidelity of PK parameter reconstruction and significantly faster parameter inference compared to a model-based iterative reconstruction method.
不在灌木丛中
发表于 2025-3-22 17:46:34
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thalamus
发表于 2025-3-23 00:01:17
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organic-matrix
发表于 2025-3-23 05:26:05
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Blanch
发表于 2025-3-23 06:45:48
Evaluation of Adjoint Methods in Photoacoustic Tomography with Under-Sampled Sensors BP have better performance on contrast and resolution, respectively. We also show that the integrand of TR includes additional side lobes which degrade axial resolution whereas that of BP conversely has relatively small amplitudes. Moreover, omnidirectional resolution is improved if more sensors ar