Now showing items 1-2 of 2

    • Deep learning for neuroimaging: A validation study 

      Plis, Sergey M.; Hjelm, Devon R.; Slakhutdinov, Ruslan; Allen, Elena; Bockholt, Henry J.; Long, Jeffrey D.; Johnson, Hans; Paulsen, Jane S.; Turner, Jessica A.; Calhoun, Vince D. (Frontiers, 2014-08-20)
      Deep learning methods have recently made notable advances in the tasks of classification and representation learning. These tasks are important for brain imaging and neuroscience discovery, making the methods attractive ...
      Journal article
    • Group Study of Simulated Driving fMRI Data by Multiset Canonical Correlation Analysis 

      Li, Yi-Ou; Eichele, Tom; Calhoun, Vince D.; Adali, Tulay (Springer, 2011)
      In this work, we apply a novel statistical method, multiset canonical correlation analysis (M-CCA), to study a group of functional magnetic resonance imaging (fMRI) datasets acquired during simulated driving task. The M-CCA ...
      Peer reviewedJournal article