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D Calhoun

Showing results (101-110 of 1,447) with videos related to

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Plos One|February 14, 2017
Time-varying spectral power of resting-state fMRI networks reveal cross-frequency dependence in dynamic connectivityMaziar Yaesoubi, Robyn L Miller, Vince D Calhoun
Human Brain Mapping|April 16, 2005
Source density-driven independent component analysis approach for fMRI dataBaoming Hong, Godfrey D Pearlson, Vince D Calhoun
Neuroimage|April 9, 2008
A projection pursuit algorithm to classify individuals using fMRI data: Application to schizophreniaOguz Demirci, Vincent P Clark, Vince D Calhoun
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Exploring Schizophrenia Classification in fMRI Data: A Common Spatial Patterns(CSP) Approach for Enhanced Feature Extraction and ClassificationM Moein Esfahani, Robyn Miller, V D Calhoun
Brain Connectivity|January 12, 2019
Dynamic Functional Network Connectivity in Schizophrenia with Magnetoencephalography and Functional Magnetic Resonance Imaging: Do Different Timescales Tell a Different Story?Lori Sanfratello, Jon M Houck, Vince D Calhoun
Biomedical Engineering Online|May 22, 2012
Optimal compressed sensing reconstructions of fMRI using 2D deterministic and stochastic sampling geometriesOliver Jeromin, Marios S Pattichis, Vince D Calhoun
Plos One|December 12, 2019
Whole brain polarity regime dynamics are significantly disrupted in schizophrenia and correlate strongly with network connectivity measuresRobyn L Miller, Godfrey Pearlson, Vince D Calhoun
Neuroimage|December 9, 2014
Mutually temporally independent connectivity patterns: a new framework to study the dynamics of brain connectivity at rest with application to explain group difference based on genderMaziar Yaesoubi, Robyn L Miller, Vince D Calhoun
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Higher dimensional analysis shows reduced dynamism of time-varying network connectivity in schizophrenia patientsRobyn L Miller, Maziar Yaesoubi, Vince D Calhoun
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Accurate classification of schizophrenia patients based on novel resting-state fMRI featuresMohammad R Arbabshirani, Eduardo Castro, Vince D Calhoun
Pageof 145

Showing results (101-110 of 1,447) with videos related to

Sort By:
Pageof 145
Plos One|February 14, 2017
Time-varying spectral power of resting-state fMRI networks reveal cross-frequency dependence in dynamic connectivityMaziar Yaesoubi, Robyn L Miller, Vince D Calhoun
Human Brain Mapping|April 16, 2005
Source density-driven independent component analysis approach for fMRI dataBaoming Hong, Godfrey D Pearlson, Vince D Calhoun
Neuroimage|April 9, 2008
A projection pursuit algorithm to classify individuals using fMRI data: Application to schizophreniaOguz Demirci, Vincent P Clark, Vince D Calhoun
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Exploring Schizophrenia Classification in fMRI Data: A Common Spatial Patterns(CSP) Approach for Enhanced Feature Extraction and ClassificationM Moein Esfahani, Robyn Miller, V D Calhoun
Brain Connectivity|January 12, 2019
Dynamic Functional Network Connectivity in Schizophrenia with Magnetoencephalography and Functional Magnetic Resonance Imaging: Do Different Timescales Tell a Different Story?Lori Sanfratello, Jon M Houck, Vince D Calhoun
Biomedical Engineering Online|May 22, 2012
Optimal compressed sensing reconstructions of fMRI using 2D deterministic and stochastic sampling geometriesOliver Jeromin, Marios S Pattichis, Vince D Calhoun
Plos One|December 12, 2019
Whole brain polarity regime dynamics are significantly disrupted in schizophrenia and correlate strongly with network connectivity measuresRobyn L Miller, Godfrey Pearlson, Vince D Calhoun
Neuroimage|December 9, 2014
Mutually temporally independent connectivity patterns: a new framework to study the dynamics of brain connectivity at rest with application to explain group difference based on genderMaziar Yaesoubi, Robyn L Miller, Vince D Calhoun
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Higher dimensional analysis shows reduced dynamism of time-varying network connectivity in schizophrenia patientsRobyn L Miller, Maziar Yaesoubi, Vince D Calhoun
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Accurate classification of schizophrenia patients based on novel resting-state fMRI featuresMohammad R Arbabshirani, Eduardo Castro, Vince D Calhoun
Pageof 145