Skip navigation
Skip navigation

Model-free optimal de-drifting and enhanced detection in fMRI data

Shah, Adnan; Seghouane, Abd-Krim


Discriminating between active and non-active brain voxels in noisy functional magnetic resonance imaging (fMRI) data plays an important role when investigating task-related activations of the neuronal sites. A novel method for efficiently capturing drifts

CollectionsANU Research Publications
Date published: 2013
Type: Conference paper
Source: IEEE International Workshop on Machine Learning for Signal Processing, MLSP
DOI: 10.1109/MLSP.2013.6661963


File Description SizeFormat Image
01_Shah_Model-free_optimal_de-drifting_2013.pdf743.13 kBAdobe PDF    Request a copy

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  20 July 2017/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator