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A deep learning approach to estimation of subject-level bias and variance in high angular resolution diffusion imaging
The ability to evaluate empirical diffusion MRI acquisitions for quality and to correct the resulting imaging metrics allows for improved inference and increased replicability. Previous work has shown promise for estimation of bias and variance of generalized fractional anisotropy (GFA) but comes at...
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| Publicado no: | Magn Reson Imaging |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6818965/ https://ncbi.nlm.nih.gov/pubmed/30926560 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.mri.2019.03.021 |
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