动脉
发表于 2025-3-25 04:41:29
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混沌
发表于 2025-3-25 07:30:31
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falsehood
发表于 2025-3-25 12:28:55
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造反,叛乱
发表于 2025-3-25 17:23:13
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Crepitus
发表于 2025-3-25 21:31:02
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PAN
发表于 2025-3-26 03:27:31
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文件夹
发表于 2025-3-26 06:30:51
Predicting the Evolution of White Matter Hyperintensities in Brain MRI Using Generative Adversarial tion of WMH in small vessel disease. DEP-GAN is able to estimate WMH volume in the follow-up year with mean (std) estimation error of −1.91 (12.12) ml and predict WMH evolution with mean rate of . accuracy (i.e., . and . better than Wasserstein GAN).
食品室
发表于 2025-3-26 09:12:23
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Minuet
发表于 2025-3-26 13:52:04
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Negotiate
发表于 2025-3-26 20:19:10
Model Learning: Primal Dual Networks for Fast MR Imagingstruction model is finally learned from the training data by updating in k-space and image domain alternatively. Experiments on in vivo MR data demonstrate that the proposed method achieves superior MR reconstructions from highly undersampled k-space data over other state-of-the-art image reconstruction methods.