sublime: Automatic Lesion Incidence Estimation and Detection using Multi-Modality Longitudinal Magnetic Resonance Images

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Creates probability maps of incident and enlarging lesion voxels from a baseline and followup magnetic resonance imaging study in patients with multiple sclerosis.

Author
Elizabeth M. Sweeney [aut, cre], John Muschelli [aut]
Date of publication
2016-09-30 08:30:25
Maintainer
Elizabeth M. Sweeney <elizabethmargaretsweeney@gmail.com>
License
GPL
Version
1.3

View on CRAN

Man pages

download_data
Download SuBLIME data
normalize
Intensity-normalization by a image mask
SuBLIME_model
Sublime Predictive model
SuBLIME-package
SuBLIME package: Subtraction-Based Logistic Inference for...
SuBLIME_prediction
Gets predicted probabilities from SuBLIME
voxel_select
Select Potential Voxels

Files in this package

sublime
sublime/inst
sublime/inst/CITATION
sublime/NAMESPACE
sublime/data
sublime/data/SuBLIME_model.rda
sublime/R
sublime/R/voxel_select.R
sublime/R/SuBLIME_model.R
sublime/R/SuBLIME_prediction.R
sublime/R/normalize.R
sublime/MD5
sublime/DESCRIPTION
sublime/man
sublime/man/SuBLIME_prediction.Rd
sublime/man/voxel_select.Rd
sublime/man/download_data.Rd
sublime/man/SuBLIME_model.Rd
sublime/man/normalize.Rd
sublime/man/SuBLIME-package.Rd