SAM

Version 1.0 (129 KB) by Fermin Segovia
Statistical Agnostic Mapping
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Updated 2 Oct 2020
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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.

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MATLAB Release Compatibility
Created with R2020b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
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.