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IEEE Signal Processing Letters|December 27, 2016
Cross-Frequency rs-fMRI Network Connectivity Patterns Manifest Differently for Schizophrenia Patients and Healthy ControlsRobyn L Miller, Maziar Yaesoubi, Vince D Calhoun
Journal of Neuroscience Methods|November 4, 2018
A method to compare the discriminatory power of data-driven methods: Application to ICA and IVAYuri Levin-Schwartz, Vince D Calhoun, Tülay Adalı
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Generative Forecasting of Brain Activity Enhances Alzheimer's Classification and InterpretationYutong Gao, Vince D Calhoun, Robyn L Miller
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Comparison of Energy Signals from the 4D DWT of Resting State FMRI Data Obtained from a Study on SchizophreniaMichael Weeks, Vince D Calhoun, Robyn L Miller
IEEE Transactions on Medical Imaging|July 6, 2017
Enforcing Co-Expression Within a Brain-Imaging Genomics Regression FrameworkPascal Zille, Vince D Calhoun, Yu-Ping Wang
Medical Image Analysis|November 20, 2013
Correspondence between fMRI and SNP data by group sparse canonical correlation analysisDongdong Lin, Vince D Calhoun, Yu-Ping Wang
International Journal of Biomedical Imaging|February 22, 2008
A feature-selective independent component analysis method for functional MRIYi-Ou Li, Tülay Adali, Vince D Calhoun
IEEE Transactions on Medical Imaging|March 14, 2017
Quantifying the Interaction and Contribution of Multiple Datasets in Fusion: Application to the Detection of SchizophreniaYuri Levin-Schwartz, Vince D Calhoun, Tulay Adali
Journal of Signal Processing Systems|June 11, 2013
Group Study of Simulated Driving fMRI Data by Multiset Canonical Correlation AnalysisYi-Ou Li, Tulay Adalı, Vince D Calhoun
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