A novel method for detection of voxels for decision making: An fMRI study

Author:

Ahmad Fayyaz1,Hussain Attique1,Chaudhary Safee Ullah2,Ahmad Iftikhar3,Ramay Shahid M.4

Affiliation:

1. Department of Statistics; University of Gujrat (UOG); Gujrat Pakistan

2. Department of Biology; Lahore University of Management Sciences (LUMS); Lahore Pakistan

3. Department of Mathematics; University of Gujrat (UOG); Gujrat Pakistan

4. Department of Physics and Astronomy; King Saud University; Riyadh Saudi Arabia

Funder

Deanship of Scientific Research at King Saud University for funding this research group

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Reference17 articles.

1. Predictive sparse modeling of fMRI data for improved classification, regression, and visualization using the k-support norm;Belilovsky;Comput Med Imaging Graph,2015

2. Blind source separation of multiple signal sources of fMRI data sets using independent component analysis;Biswal;J Comput Assist Tomogr,1999

3. Regularization of voxelwise autoregressive model for analysis of functional magnetic resonance imaging data;Fayyaz;Concepts Magn Reson Part a,2011

4. A neighborhood method for statistical analysis of fMRI data;Fayyaz;Open J Biophys,2012

5. A shrinkage method for causal network detection of brain regions;Fayyaz;Int J Imaging Syst Technol,2013

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