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Inpainting Cropped Diffusion MRI using Deep Generative Models
Minor artifacts introduced during image acquisition are often negligible to the human eye, such as a confined field of view resulting in MRI missing the top of the head. This cropping artifact, however, can cause suboptimal processing of the MRI resulting in data omission or decreasing the power of...
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| Veröffentlicht in: | Predict Intell Med |
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| Hauptverfasser: | , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8123091/ https://ncbi.nlm.nih.gov/pubmed/33997866 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-59354-4_9 |
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