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

Shah, Adnan; Seghouane, Abd-Krim

Description

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
URI: http://hdl.handle.net/1885/82657
Source: IEEE International Workshop on Machine Learning for Signal Processing, MLSP
DOI: 10.1109/MLSP.2013.6661963

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