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
References in zbMATH (referenced in 11 articles , 1 standard article )
Showing results 1 to 11 of 11.
Sorted by year (- Polzehl, Jörg; Tabelow, Karsten: Magnetic resonance brain imaging. Modeling and data analysis using R (2019)
- Mair, Patrick: Modern psychometrics with R (2018)
- Richard Beare; Bradley Lowekamp; Ziv Yaniv: Image Segmentation, Registration and Characterization in R with SimpleITK (2018) not zbMATH
- Adelino Ferreira da Silva: cudaBayesreg: Parallel Implementation of a Bayesian Multilevel Model for fMRI Data Analysis (2011) not zbMATH
- Brandon Whitcher; Volker Schmid; Andrew Thorton: Working with the DICOM and NIfTI Data Standards in R (2011) not zbMATH
- Dai Feng; Luke Tierney: mritc: A Package for MRI Tissue Classification (2011) not zbMATH
- Karsten Tabelow; Brandon Whitcher: Special Volume on Magnetic Resonance Imaging in R (2011) not zbMATH
- Karsten Tabelow; Jörg Polzehl: Statistical Parametric Maps for Functional MRI Experiments in R: The Package fmri (2011) not zbMATH
- Li, Yimei; Zhu, Hongtu; Shen, Dinggang; Lin, Weili; Gilmore, John H.; Ibrahim, Joseph G.: Multiscale adaptive regression models for neuroimaging data (2011)
- Wouter Weeda; Frank Vos; Lourens Waldorp; Raoul Grasman; Hilde Huizenga: arf3DS4: An Integrated Framework for Localization and Connectivity Analysis of fMRI Data (2011) not zbMATH
- 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)