Package sublime details
Automatic Lesion Incidence Estimation and Detection using Multi-Modality Longitudinal Magnetic Resonance Images
Creates probability maps of incident and enlarging lesion voxels from a baseline and followup magnetic resonance imaging study in patients with multiple sclerosis.
Maintainer: Elizabeth M. Sweeney < elizabethmargaretsweeney at gmail.com >
From within R, enter citation('sublime')
Sweeney E, Shinohara R, Shea C, Reich D, Crainiceanu C (2013).
"Automatic lesion incidence estimation and detection in multiple
sclerosis using multisequence longitudinal MRI." _American Journal of
Neuroradiology_, *34*(1), 68-73. R package version 1.3.
A BibTeX entry for LaTeX users is
@Article{sweeney2013automatic,
title = {Automatic lesion incidence estimation and detection in multiple sclerosis using multisequence longitudinal MRI},
author = {EM Sweeney and RT Shinohara and CD Shea and DS Reich and CM Crainiceanu},
journal = {American Journal of Neuroradiology},
volume = {34},
number = {1},
pages = {68--73},
year = {2013},
publisher = {Am Soc Neuroradiology},
note = {R package version 1.3},
}
If you have any problems with this package you can open a new issue or check the already existing ones here.
To install this package, start R and enter:
source("https://.org/Lite.R")
# Default Install
neuro_install('sublime')
# from GitHub
neuro_install('sublime', release = "stable", release_repo = "github")
neuro_install('sublime', release = "current", release_repo = "github")
More detailed installation instructions can be found here.
Initially submitted on | September 30 2018 12:51PM |
Last updated on | October 15 2020 2:50PM |
Package type | standard |
Source GitHub | https://github.com/emsweene/SuBLIME_package GitHub |
GitHub | https://github.com//sublime GitHub |