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Bayesian uncertainty quantification in linear models for diffusion MRI
Diffusion MRI (dMRI) is a valuable tool in the assessment of tissue microstructure. By fitting a model to the dMRI signal it is possible to derive various quantitative features. Several of the most popular dMRI signal models are expansions in an appropriately chosen basis, where the coefficients are...
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| Udgivet i: | Neuroimage |
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| Main Authors: | , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
2018
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6419970/ https://ncbi.nlm.nih.gov/pubmed/29604453 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2018.03.059 |
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