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Correction of Motion Artifacts Using a Multiscale Fully Convolutional Neural Network
BACKGROUND AND PURPOSE: Motion artifacts are a frequent source of image degradation in the clinical application of MR imaging (MRI). Here we implement and validate an MRI motion-artifact correction method using a multiscale fully convolutional neural network. MATERIALS AND METHODS: The network was t...
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| Yayımlandı: | AJNR Am J Neuroradiol |
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| Asıl Yazarlar: | , , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
American Society of Neuroradiology
2020
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7077919/ https://ncbi.nlm.nih.gov/pubmed/32054615 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3174/ajnr.A6436 |
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