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D Calhoun

Showing results (271-280 of 1,447) with videos related to

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Journal of Neuroscience Methods|November 28, 2024
Multimodal predictive modeling: Scalable imaging informed approaches to predict future brain healthMeenu Ajith, Jeffrey S Spence, Sandra B Chapman, 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
A deep spatio-temporal attention model of dynamic functional network connectivity shows sensitivity to Alzheimer's in asymptomatic individualsYuxiang Wei, Anees Abrol, James Lah, et al.
IEEE Transactions on Bio-Medical Engineering|December 7, 2023
Maximum Classifier Discrepancy Generative Adversarial Network for Jointly Harmonizing Scanner Effects and Improving Reproducibility of Downstream TasksWeizheng Yan, Zening Fu, Rongtao Jiang, et al.
Medrxiv : the Preprint Server for Health Sciences|May 1, 2026
Examining comorbid and transdiagnostic depression clinical outcomes across anxiety, autism, attention deficit hyperactivity disorder (ADHD), bipolar disorder, depression, and schizotypal personality groups: a novel NeuroMark SPECT approachAmritha Harikumar, Bradley Baker, Daniel Amen, et al.
Magnetic Resonance in Medicine|September 5, 2002
Rapid method for correction of CSF partial volume in quantitative proton MR spectroscopic imagingA Horská, V D Calhoun, D H Bradshaw, et al.
Computational Intelligence and Neuroscience|July 13, 2011
EEGIFT: group independent component analysis for event-related EEG dataTom Eichele, Srinivas Rachakonda, Brage Brakedal, et al.
Journal of Neuroscience Methods|November 24, 2011
A review of multivariate methods for multimodal fusion of brain imaging dataJing Sui, Tülay Adali, Qingbao Yu, et al.
Human Brain Mapping|May 8, 2015
Specific default mode subnetworks support mentalizing as revealed through opposing network recruitment by social and semantic FMRI tasksChristopher J Hyatt, Vince D Calhoun, Godfrey D Pearlson, et al.
Neuroimage|April 22, 2014
A statistically motivated framework for simulation of stochastic data fusion models applied to multimodal neuroimagingRogers F Silva, Sergey M Plis, Tülay Adalı, 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 9, 2017
Predicting schizophrenia by fusing networks from SNPs, DNA methylation and fMRI dataSu-Ping Deng, Dongdong Lin, Vince D Calhoun, et al.
Pageof 145

Showing results (271-280 of 1,447) with videos related to

Sort By:
Pageof 145
Journal of Neuroscience Methods|November 28, 2024
Multimodal predictive modeling: Scalable imaging informed approaches to predict future brain healthMeenu Ajith, Jeffrey S Spence, Sandra B Chapman, 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
A deep spatio-temporal attention model of dynamic functional network connectivity shows sensitivity to Alzheimer's in asymptomatic individualsYuxiang Wei, Anees Abrol, James Lah, et al.
IEEE Transactions on Bio-Medical Engineering|December 7, 2023
Maximum Classifier Discrepancy Generative Adversarial Network for Jointly Harmonizing Scanner Effects and Improving Reproducibility of Downstream TasksWeizheng Yan, Zening Fu, Rongtao Jiang, et al.
Medrxiv : the Preprint Server for Health Sciences|May 1, 2026
Examining comorbid and transdiagnostic depression clinical outcomes across anxiety, autism, attention deficit hyperactivity disorder (ADHD), bipolar disorder, depression, and schizotypal personality groups: a novel NeuroMark SPECT approachAmritha Harikumar, Bradley Baker, Daniel Amen, et al.
Magnetic Resonance in Medicine|September 5, 2002
Rapid method for correction of CSF partial volume in quantitative proton MR spectroscopic imagingA Horská, V D Calhoun, D H Bradshaw, et al.
Computational Intelligence and Neuroscience|July 13, 2011
EEGIFT: group independent component analysis for event-related EEG dataTom Eichele, Srinivas Rachakonda, Brage Brakedal, et al.
Journal of Neuroscience Methods|November 24, 2011
A review of multivariate methods for multimodal fusion of brain imaging dataJing Sui, Tülay Adali, Qingbao Yu, et al.
Human Brain Mapping|May 8, 2015
Specific default mode subnetworks support mentalizing as revealed through opposing network recruitment by social and semantic FMRI tasksChristopher J Hyatt, Vince D Calhoun, Godfrey D Pearlson, et al.
Neuroimage|April 22, 2014
A statistically motivated framework for simulation of stochastic data fusion models applied to multimodal neuroimagingRogers F Silva, Sergey M Plis, Tülay Adalı, 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 9, 2017
Predicting schizophrenia by fusing networks from SNPs, DNA methylation and fMRI dataSu-Ping Deng, Dongdong Lin, Vince D Calhoun, et al.
Pageof 145