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Using the Wild Bootstrap to Quantify Uncertainty in Mean Apparent Propagator MRI
Purpose: Estimation of uncertainty of MAP-MRI metrics is an important topic, for several reasons. Bootstrap derived uncertainty, such as the standard deviation, provides valuable information, and can be incorporated in MAP-MRI studies to provide more extensive insight.Methods: In this paper, the unc...
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| Главные авторы: | , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Frontiers Media S.A.
2019-06-01
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| Серии: | Frontiers in Neuroinformatics |
| Предметы: | |
| Online-ссылка: | https://www.frontiersin.org/article/10.3389/fninf.2019.00043/full |
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