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Vince D Calhoun

Showing results (81-90 of 1,278) with videos related to

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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
Frontiers in Neuroscience|October 8, 2024
Editorial: Insights in brain imaging methods: 2023Federico Giove, Xi-Nian Zuo, Vince D Calhoun
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
Frontiers in Genetics|October 7, 2015
An introductory review of parallel independent component analysis (p-ICA) and a guide to applying p-ICA to genetic data and imaging phenotypes to identify disease-associated biological pathways and systems in common complex disordersGodfrey D Pearlson, Jingyu Liu, Vince D Calhoun
Frontiers in Neuroscience|August 30, 2013
Spatial ICA reveals functional activity hidden from traditional fMRI GLM-based analysesJiansong Xu, Marc N Potenza, Vince D Calhoun
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
Journal of Neuroscience Methods|March 31, 2018
A method to assess randomness of functional connectivity matricesVictor M Vergara, Qingbao Yu, Vince D Calhoun
Pageof 128

Showing results (81-90 of 1,278) with videos related to

Sort By:
Pageof 128
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
Frontiers in Neuroscience|October 8, 2024
Editorial: Insights in brain imaging methods: 2023Federico Giove, Xi-Nian Zuo, Vince D Calhoun
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
Frontiers in Genetics|October 7, 2015
An introductory review of parallel independent component analysis (p-ICA) and a guide to applying p-ICA to genetic data and imaging phenotypes to identify disease-associated biological pathways and systems in common complex disordersGodfrey D Pearlson, Jingyu Liu, Vince D Calhoun
Frontiers in Neuroscience|August 30, 2013
Spatial ICA reveals functional activity hidden from traditional fMRI GLM-based analysesJiansong Xu, Marc N Potenza, Vince D Calhoun
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
Journal of Neuroscience Methods|March 31, 2018
A method to assess randomness of functional connectivity matricesVictor M Vergara, Qingbao Yu, Vince D Calhoun
Pageof 128