fmri

The package contains R-functions to perform an fmri analysis as described in K. Tabelow, J. Polzehl, H.U. Voss, and V. Spokoiny, Analysing fMRI experiments with structure adaptive smoothing procedures, NeuroImage, 33:55-62 (2006) and J. Polzehl, H.U. Voss, K. Tabelow, Structural adaptive segmentation for statistical parametric mapping, NeuroImage, 52:515-523 (2010).

Keywords for this software

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References in zbMATH (referenced in 8 articles , 1 standard article )

Showing results 1 to 8 of 8.
Sorted by year (citations)

  1. Adelino Ferreira da Silva: cudaBayesreg: Parallel Implementation of a Bayesian Multilevel Model for fMRI Data Analysis (2011)
  2. Brandon Whitcher; Volker Schmid; Andrew Thorton: Working with the DICOM and NIfTI Data Standards in R (2011)
  3. Dai Feng; Luke Tierney: mritc: A Package for MRI Tissue Classification (2011)
  4. Karsten Tabelow; Brandon Whitcher: Special Volume on Magnetic Resonance Imaging in R (2011)
  5. Karsten Tabelow; Jörg Polzehl: Statistical Parametric Maps for Functional MRI Experiments in R: The Package fmri (2011)
  6. Li, Yimei; Zhu, Hongtu; Shen, Dinggang; Lin, Weili; Gilmore, John H.; Ibrahim, Joseph G.: Multiscale adaptive regression models for neuroimaging data (2011)
  7. Wouter Weeda; Frank Vos; Lourens Waldorp; Raoul Grasman; Hilde Huizenga: arf3DS4: An Integrated Framework for Localization and Connectivity Analysis of fMRI Data (2011)
  8. Franke, Jürgen; Dahlhaus, Rainer; Polzehl, Jörg; Spokoiny, Vladimir; Steidl, Gabriele; Weickert, Joachim; Berdychevski, Anatoly; Didas, Stephan; Halim, Siana; Mrázek, Pavel; Rao, Suhasini Subba; Tadjuidje, Joseph: Structural adaptive smoothing procedures (2008)