pradlanka

pradlanka

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malini

Machine Learning in NeuroImaging (MALINI) is a MATLAB-based toolbox used for feature extraction and disease classification using resting state functional magnetic resonance imaging (rs-fMRI) data. 18 different popular classifiers are presented. With slight modifications, it can also be used for any classification problem using any set of features.

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rsfc-fnirs

MATLAB codes in this repository reproduce the simulation results of the article "Correction of global physiology in resting-state functional near-infrared-spectroscopy" by Pradyumna Lanka, Heather Bortfeld & Theodore J. Huppert.

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binder-framework

A sample repo on deploying to Binder

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