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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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| Publicado no: | Brain Imaging Behav |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | 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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