neuronorm: Preprocessing of Structural MRI for Multiple Neurodegenerative Diseases

Preprocessing pipeline for normalizing and cleaning T1-weighted, T2-weighted and FLAIR MRI images coming from different sources, diseases, patients, scanners and sites.

Version: 1.0.0
Depends: R (≥ 3.5)
Imports: knitr, oro.nifti, fslr, neurobase, stats
Suggests: rmarkdown, ANTsR, ANTsRCore, ITKR, extrantsr, MNITemplate, RAVEL, neurodata
OS_type: unix
Published: 2021-07-20
Author: David Payares [aut, cre], Jorge Mateu [ctb], Wiebke Schick [ctb], Nicholas J. Tustison [cph], Brian B Avants [cph], Philip A. Cook [cph], Yuanjie Zheng [cph], Alexander Egan [cph], Paul A. Yushkevich [cph], James C. Gee [cph], M. Grossman [cph], Jean-Philippe Fortin [cph], Elizabeth M. Sweeney [cph], John Muschelli [cph], Ciprian M. Crainiceanu [cph], Russell T. Shinohara [cph], Yongyue Zhang [cph], J. Michae Brady [cph], Stephen Smith [cph]
Maintainer: David Payares <davidpayaresg at gmail.com>
License: GPL-2
NeedsCompilation: no
SystemRequirements: cmake, FSL
Additional_repositories: https://davidpayares.github.io/drat
CRAN checks: neuronorm results

Downloads:

Reference manual: neuronorm.pdf
Vignettes: neuronorm
Package source: neuronorm_1.0.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): neuronorm_1.0.0.tgz, r-release (x86_64): neuronorm_1.0.0.tgz, r-oldrel: neuronorm_1.0.0.tgz

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