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D Calhoun

Showing results (111-120 of 1,447) with videos related to

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Proceedings of the IEEE. Institute of Electrical and Electronics Engineers|November 4, 2015
Multi-modal data fusion using source separation: Two effective models based on ICA and IVA and their propertiesTülay Adali, Yuri Levin-Schwartz, Vince D Calhoun
Journal of Neuroscience Methods|December 3, 2014
The absence of task-related increases in BOLD signal does not equate to absence of task-related brain activationJiansong Xu, Vince D Calhoun, Marc N Potenza
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
Dynamic Inter-Modality Source Coupling Reveals Sex Differences in Brain Connectivity in Children: A Multimodal MRI Study of the ABCD DatasetA Kotoski, S-L Wiafe, V D Calhoun
Biorxiv : the Preprint Server for Biology|October 3, 2025
Neural flexibility in metabolic demand dynamics reveals sex-specific differences and supports cognition in late childhoodAline Kotoski, Sir-Lord Wiafe, Vince D Calhoun
Biorxiv : the Preprint Server for Biology|September 26, 2025
Frequency-Aware Interpretable Deep Learning Framework for Alzheimer's Disease Classification Using rs-fMRIYutong Gao, Robyn L Miller, 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
Neuroimage|June 24, 2008
Application of principal component analysis to distinguish patients with schizophrenia from healthy controls based on fractional anisotropy measurementsA Caprihan, G D Pearlson, V D Calhoun
Human Brain Mapping|February 3, 2007
Estimating the number of independent components for functional magnetic resonance imaging dataYi-Ou Li, Tülay Adali, Vince D Calhoun
Pageof 145

Showing results (111-120 of 1,447) with videos related to

Sort By:
Pageof 145
Proceedings of the IEEE. Institute of Electrical and Electronics Engineers|November 4, 2015
Multi-modal data fusion using source separation: Two effective models based on ICA and IVA and their propertiesTülay Adali, Yuri Levin-Schwartz, Vince D Calhoun
Journal of Neuroscience Methods|December 3, 2014
The absence of task-related increases in BOLD signal does not equate to absence of task-related brain activationJiansong Xu, Vince D Calhoun, Marc N Potenza
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
Dynamic Inter-Modality Source Coupling Reveals Sex Differences in Brain Connectivity in Children: A Multimodal MRI Study of the ABCD DatasetA Kotoski, S-L Wiafe, V D Calhoun
Biorxiv : the Preprint Server for Biology|October 3, 2025
Neural flexibility in metabolic demand dynamics reveals sex-specific differences and supports cognition in late childhoodAline Kotoski, Sir-Lord Wiafe, Vince D Calhoun
Biorxiv : the Preprint Server for Biology|September 26, 2025
Frequency-Aware Interpretable Deep Learning Framework for Alzheimer's Disease Classification Using rs-fMRIYutong Gao, Robyn L Miller, 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
Neuroimage|June 24, 2008
Application of principal component analysis to distinguish patients with schizophrenia from healthy controls based on fractional anisotropy measurementsA Caprihan, G D Pearlson, V D Calhoun
Human Brain Mapping|February 3, 2007
Estimating the number of independent components for functional magnetic resonance imaging dataYi-Ou Li, Tülay Adali, Vince D Calhoun
Pageof 145