SAM

Statistical Agnostic Mapping

https://github.com/SiPBA/SAM

You are now following this Submission

A framework based on SLT that provides similar activation maps than the ones obtained by the voxel-wise SPM, but defined on ROIs, under a rigorous development in scenarios with a small sample/dimension ratio and large, small and trivial effect sizes.

Cite As

Gorriz, J. M., et al. “Statistical Agnostic Mapping: A Framework in Neuroimaging Based on Concentration Inequalities.” Information Fusion, vol. 66, Elsevier BV, Feb. 2021, pp. 198–212, doi:10.1016/j.inffus.2020.09.008.

View more styles

General Information

MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux
Version Published Release Notes Action
1.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.