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Applications of a deep learning method for anti-aliasing and super-resolution in MRI
Magnetic resonance (MR) images with both high resolutions and high signal-to-noise ratios (SNRs) are desired in many clinical and research applications. However, acquiring such images takes a long time, which is both costly and susceptible to motion artifacts. Acquiring MR images with good in-plane...
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| 出版年: | Magn Reson Imaging |
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| 主要な著者: | , , , , , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7094770/ https://ncbi.nlm.nih.gov/pubmed/31247254 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.mri.2019.05.038 |
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