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Using the wild bootstrap to quantify uncertainty in diffusion tensor imaging
Estimation of noise‐induced variability in diffusion tensor imaging (DTI) is needed to objectively follow disease progression in therapeutic monitoring and to provide consistent readouts of pathophysiology. The noise variability of nonlinear quantities of the diffusion tensor (e.g., fractional aniso...
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| Gepubliceerd in: | Hum Brain Mapp |
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| Hoofdauteurs: | , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Wiley Subscription Services, Inc., A Wiley Company
2007
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6870960/ https://ncbi.nlm.nih.gov/pubmed/17455199 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/hbm.20395 |
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