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An Evaluation of Z-Transform Algorithms for Identifying Subject-Specific Abnormalities in Neuroimaging Data

The need for algorithms that capture subject-specific abnormalities (SSA) in neuroimaging data is increasingly recognized across many neuropsychiatric disorders. However, the effects of initial distributional properties (e.g., normal versus non-normally distributed data), sample size, and typical pr...

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Vydáno v:Brain Imaging Behav
Hlavní autoři: Mayer, Andrew R., Dodd, Andrew B., Ling, Josef M., Wertz, Christopher J., Shaff, Nicholas A., Bedrick, Edward J., Viamonte, Carlo
Médium: Artigo
Jazyk:Inglês
Vydáno: 2018
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC5607089/
https://ncbi.nlm.nih.gov/pubmed/28321608
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11682-017-9702-2
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