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    Image analysis and statistical inference in neuroimaging with R
    (Berlin : Weierstraß-Institut für Angewandte Analysis und Stochastik, 2010) Tabelow, Karsten; Clayden, Jon D.; Lafaye de Micheaux, Pierre; Polzehl, Jörg; Schmid, Volker J.; Whitcher, Brandon
    R is a language and environment for statistical computing and graphics. It can be considered an alternative implementation of the S language developed in the 1970s and 1980s for data analysis and graphics (Becker and Chambers, 1984; Becker et al., 1988). The R language is part of the GNU project and offers versions that compile and run on almost every major operating system currently available. We highlight several R packages built specifically for the analysis of neuroimaging data in the context of functional MRI, diffusion tensor imaging, and dynamic contrast-enhanced MRI. We review their methodology and give an overview of their capabilities for neuroimaging. In addition we summarize some of the current activities in the area of neuroimaging software development in R.
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    Statistical parametric maps for functional MRI experiments in R: the package fmri
    (Berlin : Weierstraß-Institut für Angewandte Analysis und Stochastik, 2010) Tabelow, Karsten; Polzehl, Jörg
    The package fmri is provided for analysis of single run functional Magnetic Resonance Imaging data. It implements structural adaptive smoothing methods with signal detection for adaptive noise reduction which avoids blurring of edges of activation areas. fmri provides fmri analysis from time series modeling to signal detection and publication-ready images