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D Rangaprakash

Showing results (11-20 of 47) with videos related to

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IEEE Transactions on Computational Biology and Bioinformatics|December 23, 2025
Transfer Learning for Improving Neuroimaging-Based Diagnostic ClassificationGopikrishna Deshpande, Bonian Lu, Nguyen Huynh, et al.
IEEE Transactions on Cybernetics|January 11, 2015
Fully Connected Cascade Artificial Neural Network Architecture for Attention Deficit Hyperactivity Disorder Classification From Functional Magnetic Resonance Imaging DataGopikrishna Deshpande, Peng Wang, D Rangaprakash, et al.
Research Square|February 17, 2023
Resting state neurophysiology of agonist-antagonist myoneural interface in persons with transtibial amputationLaura Chicos, D Rangaprakash, Robert Barry, et al.
Brain Informatics|November 26, 2020
Density-based clustering of static and dynamic functional MRI connectivity features obtained from subjects with cognitive impairmentD Rangaprakash, Toluwanimi Odemuyiwa, D Narayana Dutt, et al.
Biorxiv : the Preprint Server for Biology|November 14, 2023
Comparison of hemodynamic response functions obtained from resting-state functional MRI and invasive electrophysiological recordings in ratsD Rangaprakash, Olivier David, Robert L Barry, et al.
Frontiers in Aging Neuroscience|July 22, 2017
Investigating Focal Connectivity Deficits in Alzheimer's Disease Using Directional Brain Networks Derived from Resting-State fMRISinan Zhao, D Rangaprakash, Archana Venkataraman, et al.
Brain Imaging and Behavior|August 8, 2020
FMRI hemodynamic response function (HRF) as a novel marker of brain function: applications for understanding obsessive-compulsive disorder pathology and treatment responseD Rangaprakash, Reza Tadayonnejad, Gopikrishna Deshpande, et al.
Frontiers in Neuroscience|June 23, 2017
A New Generation of Brain-Computer Interfaces Driven by Discovery of Latent EEG-fMRI Linkages Using Tensor DecompositionGopikrishna Deshpande, D Rangaprakash, Luke Oeding, et al.
Magnetic Resonance in Medicine|April 16, 2018
Hemodynamic response function (HRF) variability confounds resting-state fMRI functional connectivityD Rangaprakash, Guo-Rong Wu, Daniele Marinazzo, et al.
Frontiers in Neuroscience|June 10, 2022
Dynamic Effective Connectivity Patterns During Rapid Face Stimuli Presentation in Body Dysmorphic DisorderWan-Wa Wong, D Rangaprakash, Teena D Moody, et al.
Pageof 5

Showing results (11-20 of 47) with videos related to

Sort By:
Pageof 5
IEEE Transactions on Computational Biology and Bioinformatics|December 23, 2025
Transfer Learning for Improving Neuroimaging-Based Diagnostic ClassificationGopikrishna Deshpande, Bonian Lu, Nguyen Huynh, et al.
IEEE Transactions on Cybernetics|January 11, 2015
Fully Connected Cascade Artificial Neural Network Architecture for Attention Deficit Hyperactivity Disorder Classification From Functional Magnetic Resonance Imaging DataGopikrishna Deshpande, Peng Wang, D Rangaprakash, et al.
Research Square|February 17, 2023
Resting state neurophysiology of agonist-antagonist myoneural interface in persons with transtibial amputationLaura Chicos, D Rangaprakash, Robert Barry, et al.
Brain Informatics|November 26, 2020
Density-based clustering of static and dynamic functional MRI connectivity features obtained from subjects with cognitive impairmentD Rangaprakash, Toluwanimi Odemuyiwa, D Narayana Dutt, et al.
Biorxiv : the Preprint Server for Biology|November 14, 2023
Comparison of hemodynamic response functions obtained from resting-state functional MRI and invasive electrophysiological recordings in ratsD Rangaprakash, Olivier David, Robert L Barry, et al.
Frontiers in Aging Neuroscience|July 22, 2017
Investigating Focal Connectivity Deficits in Alzheimer's Disease Using Directional Brain Networks Derived from Resting-State fMRISinan Zhao, D Rangaprakash, Archana Venkataraman, et al.
Brain Imaging and Behavior|August 8, 2020
FMRI hemodynamic response function (HRF) as a novel marker of brain function: applications for understanding obsessive-compulsive disorder pathology and treatment responseD Rangaprakash, Reza Tadayonnejad, Gopikrishna Deshpande, et al.
Frontiers in Neuroscience|June 23, 2017
A New Generation of Brain-Computer Interfaces Driven by Discovery of Latent EEG-fMRI Linkages Using Tensor DecompositionGopikrishna Deshpande, D Rangaprakash, Luke Oeding, et al.
Magnetic Resonance in Medicine|April 16, 2018
Hemodynamic response function (HRF) variability confounds resting-state fMRI functional connectivityD Rangaprakash, Guo-Rong Wu, Daniele Marinazzo, et al.
Frontiers in Neuroscience|June 10, 2022
Dynamic Effective Connectivity Patterns During Rapid Face Stimuli Presentation in Body Dysmorphic DisorderWan-Wa Wong, D Rangaprakash, Teena D Moody, et al.
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