年迈 发表于 2025-3-21 16:53:30
书目名称Simulation and Synthesis in Medical Imaging影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0867583<br><br> <br><br>书目名称Simulation and Synthesis in Medical Imaging影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0867583<br><br> <br><br>书目名称Simulation and Synthesis in Medical Imaging网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0867583<br><br> <br><br>书目名称Simulation and Synthesis in Medical Imaging网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0867583<br><br> <br><br>书目名称Simulation and Synthesis in Medical Imaging被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0867583<br><br> <br><br>书目名称Simulation and Synthesis in Medical Imaging被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0867583<br><br> <br><br>书目名称Simulation and Synthesis in Medical Imaging年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0867583<br><br> <br><br>书目名称Simulation and Synthesis in Medical Imaging年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0867583<br><br> <br><br>书目名称Simulation and Synthesis in Medical Imaging读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0867583<br><br> <br><br>书目名称Simulation and Synthesis in Medical Imaging读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0867583<br><br> <br><br>扔掉掐死你 发表于 2025-3-21 22:12:43
Joint Image and Label Self-super-Resolutiontput. We evaluated our method with 50 .-weighted brain MR images . down-sampled with 10 automatically generated labels. In comparison to other methods, our method had superior Dice across all labels and competitive metrics on the MR image. Our approach is the first reported method for SSR of paired anisotropic image and label volumes.Erythropoietin 发表于 2025-3-22 03:06:14
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Cine-MRI Simulation to Evaluate Tumor Tracking parameters and adding noise. The simulator generates a total of 84 Cine-MRI sequences, thus having 12 videos per patient. We validate the simulated versus the real Cine-MRI in terms of tumor motion. Finally, we used the simulator to evaluate the performance of real-time tumor tracking algorithms with this dataset.Cholecystokinin 发表于 2025-3-22 16:27:36
Detail Matters: High-Frequency Content for Realistic Synthetic MRI Generation is the scarcity of quality-labelled samples needed for their training. The lack of labelled training data is often addressed by augmentation methods, which aim to synthesise realistic samples with corresponding labels. While the synthesis of realistic samples remains a challenging task, little is k可行 发表于 2025-3-22 19:07:33
http://reply.papertrans.cn/87/8676/867583/867583_7.pngMindfulness 发表于 2025-3-22 22:30:04
Super-Resolution by Latent Space Exploration: Training with Poorly-Aligned Clinical and Micro CT Ima-resolution (LR) and high-resolution (HR) images for training. For obtaining paired LR and HR images in medical imaging, we need to align low and high-resolution data using image registration technology. However, since the hardness of aligning LR and HR images, the aligned LR-HR dataset is always loflammable 发表于 2025-3-23 01:33:51
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