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Vince Calhoun

Showing results (71-80 of 230) with videos related to

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Neuroimage|June 13, 2018
An approach to directly link ICA and seed-based functional connectivity: Application to schizophreniaLei Wu, Arvind Caprihan, Juan Bustillo, et al.
Scientific Reports|September 29, 2025
Semantic locality-aware biclustering for brain functional network connectivityMd Abdur Rahaman, Rogers Silva, Zening Fu, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Shared sets of correlated polygenic risk scores and voxel-wise grey matter across multiple traits identified via bi-clusteringMd Abdur Rahaman, Amanda Rodrigue, David Glahn, et al.
Brain Connectivity|September 7, 2017
Time-Resolved Resting-State Functional Magnetic Resonance Imaging Analysis: Current Status, Challenges, and New DirectionsShella Keilholz, Cesar Caballero-Gaudes, Peter Bandettini, et al.
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
Scepter: Weakly Supervised Framework for Spatiotemporal Dense Prediction of 4D Dynamic Brain NetworksBehnam Kazemivash, Pranav Suresh, Jingyu Liu, et al.
BMC Medical Genomics|February 26, 2014
Integrating fMRI and SNP data for biomarker identification for schizophrenia with a sparse representation based variable selection methodHongbao Cao, Junbo Duan, Dongdong Lin, et al.
Journal of Medical Imaging (Bellingham, Wash.)|April 20, 2019
Distance canonical correlation analysis with application to an imaging-genetic studyWenxing Hu, Aiying Zhang, Biao Cai, et al.
Neuroimage|June 12, 2026
Structural co-modulation: An individualized measure of inter-component interactions in source-based morphometryAline Kotoski, Najme Soleimani, Sir-Lord Wiafe, et al.
Journal of Neuroscience Methods|April 10, 2020
Deep learning methods and applications in neuroimagingJing Sui, MingXia Liu, Jong-Hwan Lee, et al.
Meta-Radiology|February 1, 2024
Extracting functional connectivity brain networks at the resting state from pulsed arterial spin labeling dataNatalie Wiseman, Armin Iraji, E Mark Haacke, et al.
Pageof 23

Showing results (71-80 of 230) with videos related to

Sort By:
Pageof 23
Neuroimage|June 13, 2018
An approach to directly link ICA and seed-based functional connectivity: Application to schizophreniaLei Wu, Arvind Caprihan, Juan Bustillo, et al.
Scientific Reports|September 29, 2025
Semantic locality-aware biclustering for brain functional network connectivityMd Abdur Rahaman, Rogers Silva, Zening Fu, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Shared sets of correlated polygenic risk scores and voxel-wise grey matter across multiple traits identified via bi-clusteringMd Abdur Rahaman, Amanda Rodrigue, David Glahn, et al.
Brain Connectivity|September 7, 2017
Time-Resolved Resting-State Functional Magnetic Resonance Imaging Analysis: Current Status, Challenges, and New DirectionsShella Keilholz, Cesar Caballero-Gaudes, Peter Bandettini, et al.
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
Scepter: Weakly Supervised Framework for Spatiotemporal Dense Prediction of 4D Dynamic Brain NetworksBehnam Kazemivash, Pranav Suresh, Jingyu Liu, et al.
BMC Medical Genomics|February 26, 2014
Integrating fMRI and SNP data for biomarker identification for schizophrenia with a sparse representation based variable selection methodHongbao Cao, Junbo Duan, Dongdong Lin, et al.
Journal of Medical Imaging (Bellingham, Wash.)|April 20, 2019
Distance canonical correlation analysis with application to an imaging-genetic studyWenxing Hu, Aiying Zhang, Biao Cai, et al.
Neuroimage|June 12, 2026
Structural co-modulation: An individualized measure of inter-component interactions in source-based morphometryAline Kotoski, Najme Soleimani, Sir-Lord Wiafe, et al.
Journal of Neuroscience Methods|April 10, 2020
Deep learning methods and applications in neuroimagingJing Sui, MingXia Liu, Jong-Hwan Lee, et al.
Meta-Radiology|February 1, 2024
Extracting functional connectivity brain networks at the resting state from pulsed arterial spin labeling dataNatalie Wiseman, Armin Iraji, E Mark Haacke, et al.
Pageof 23