SuBLIME-package: SuBLIME package: Subtraction-Based Logistic Inference for...
In sublime: Automatic Lesion Incidence Estimation and Detection using Multi-Modality Longitudinal Magnetic Resonance Images
Description
Details
Author(s)
References
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Description
This packages runs the SuBLIME pipeline on preprocessed data for detection of lesions in patients iwth MS. The functions will normalize and runt he model
Details
Package: SuBLIME
Type: Package
Version: 1.0
Date: 2013-08-12
License: What license is it under?
Author(s)
Elizabeth Sweeney, John Muschelli
Elizabeth M. Sweeney <emsweene@jhsph.edu>
References
Sweeney, E. M., Shinohara, R. T., Shea, C. D., Reich, D. S., & Crainiceanu, C. M. (2013). Automatic Lesion Incidence Estimation and Detection in Multiple Sclerosis Using Multisequence Longitudinal MRI. American Journal of Neuroradiology, 34(1), 68-73.
See Also
~~ AnalyzeFMRI ~~
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Description Details Author(s) References See Also
Description
This packages runs the SuBLIME pipeline on preprocessed data for detection of lesions in patients iwth MS. The functions will normalize and runt he model
Details
| Package: | SuBLIME |
| Type: | Package |
| Version: | 1.0 |
| Date: | 2013-08-12 |
| License: | What license is it under? |
Author(s)
Elizabeth Sweeney, John Muschelli
Elizabeth M. Sweeney <emsweene@jhsph.edu>
References
Sweeney, E. M., Shinohara, R. T., Shea, C. D., Reich, D. S., & Crainiceanu, C. M. (2013). Automatic Lesion Incidence Estimation and Detection in Multiple Sclerosis Using Multisequence Longitudinal MRI. American Journal of Neuroradiology, 34(1), 68-73.
See Also
~~ AnalyzeFMRI ~~
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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