• 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. (Peer reviewed; Journal article, 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 ...
    • Group Study of Simulated Driving fMRI Data by Multiset Canonical Correlation Analysis 

      Li, Yi-Ou; Eichele, Tom; Calhoun, Vince D.; Adali, Tulay (Peer reviewed; Journal article, 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 ...