An evaluation of Z-transform algorithms for identifying subject-specific abnormalities in neuroimaging data
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DOI: 10.1007/s11682-017-9702-2
Abstract: 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… read more here.
Keywords: algorithms; transform algorithms; specific abnormalities; neuroimaging data ... See more keywords