A Data-Driven Sparse GLM for fMRI Analysis Using Sparse Dictionary Learning With MDL Criterion Article

Lee, Kangjoo, Tak, Sungho, Ye, Jong Chul. (2011). A Data-Driven Sparse GLM for fMRI Analysis Using Sparse Dictionary Learning With MDL Criterion . IEEE Transactions on Medical Imaging, 30(5), 1076-1089. 10.1109/TMI.2010.2097275

cited authors

  • Lee, Kangjoo; Tak, Sungho; Ye, Jong Chul

sustainable development goals

authors

publication date

  • May 1, 2011

published in

keywords

  • ACTIVATION
  • BLIND SEPARATION
  • BOLD SIGNAL
  • Compressed sensing
  • Computer Science
  • Computer Science, Interdisciplinary Applications
  • DEFAULT MODE
  • Engineering
  • Engineering, Biomedical
  • Engineering, Electrical & Electronic
  • FUNCTIONAL MRI DATA
  • HUMAN BRAIN
  • INDEPENDENT COMPONENT ANALYSIS
  • Imaging Science & Photographic Technology
  • K-SVD
  • Life Sciences & Biomedicine
  • OXYGENATION CHANGES
  • Radiology, Nuclear Medicine & Medical Imaging
  • Science & Technology
  • TIME-SERIES
  • Technology
  • data-driven functional magnetic resonance imaging (fMRI) analysis
  • minimum description length (MDL) principle
  • sparse dictionary learning
  • sparse generalized linear model
  • statistical parametric mapping

Digital Object Identifier (DOI)

start page

  • 1076

end page

  • 1089

volume

  • 30

issue

  • 5