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D Rangaprakash

Showing results (1-10 of 47) with videos related to

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Computers in Biology and Medicine|February 18, 2014
Connectivity analysis of multichannel EEG signals using recurrence based phase synchronization techniqueD Rangaprakash
Iscience|December 30, 2025
Effects of seasonal factors on brain function: Systematic review and future perspectivesJoshita Majumdar, D Rangaprakash, Gopikrishna Deshpande
Biorxiv : the Preprint Server for Biology|March 18, 2026
Neptune: a toolbox for spinal cord functional MRI data processing and quality assuranceD Rangaprakash, Robert L Barry
Data in Brief|September 19, 2018
Estimated hemodynamic response function parameters obtained from resting state BOLD fMRI signals in subjects with autism spectrum disorder and matched healthy subjectsWenjing Yan, D Rangaprakash, Gopikrishna Deshpande
Neuroimage. Clinical|July 18, 2018
Aberrant hemodynamic responses in autism: Implications for resting state fMRI functional connectivity studiesWenjing Yan, D Rangaprakash, Gopikrishna Deshpande
International Journal of Neural Systems|April 13, 2013
Phase synchronization in brain networks derived from correlation between probabilities of recurrences in functional MRI dataD Rangaprakash, Xiaoping Hu, Gopikrishna Deshpande
International Journal of Public Mental Health and Neurosciences|September 23, 2021
Research Trends in the Application of Yoga to Human Health: A Data Science ApproachChaitra Gururaja, D Rangaprakash, Gopikrishna Deshpande
Frontiers in Neuroscience|July 31, 2023
The confound of hemodynamic response function variability in human resting-state functional MRI studiesD Rangaprakash, Robert L Barry, Gopikrishna Deshpande
Brain Informatics|December 4, 2019
Deterioration from healthy to mild cognitive impairment and Alzheimer's disease mirrored in corresponding loss of centrality in directed brain networksSinan Zhao, D Rangaprakash, Peipeng Liang, et al.
Frontiers in Neuroinformatics|September 29, 2025
VAE deep learning model with domain adaptation, transfer learning and harmonization for diagnostic classification from multi-site neuroimaging dataGopikrishna Deshpande, Bonian Lu, Nguyen Huynh, et al.
Pageof 5

Showing results (1-10 of 47) with videos related to

Sort By:
Pageof 5
Computers in Biology and Medicine|February 18, 2014
Connectivity analysis of multichannel EEG signals using recurrence based phase synchronization techniqueD Rangaprakash
Iscience|December 30, 2025
Effects of seasonal factors on brain function: Systematic review and future perspectivesJoshita Majumdar, D Rangaprakash, Gopikrishna Deshpande
Biorxiv : the Preprint Server for Biology|March 18, 2026
Neptune: a toolbox for spinal cord functional MRI data processing and quality assuranceD Rangaprakash, Robert L Barry
Data in Brief|September 19, 2018
Estimated hemodynamic response function parameters obtained from resting state BOLD fMRI signals in subjects with autism spectrum disorder and matched healthy subjectsWenjing Yan, D Rangaprakash, Gopikrishna Deshpande
Neuroimage. Clinical|July 18, 2018
Aberrant hemodynamic responses in autism: Implications for resting state fMRI functional connectivity studiesWenjing Yan, D Rangaprakash, Gopikrishna Deshpande
International Journal of Neural Systems|April 13, 2013
Phase synchronization in brain networks derived from correlation between probabilities of recurrences in functional MRI dataD Rangaprakash, Xiaoping Hu, Gopikrishna Deshpande
International Journal of Public Mental Health and Neurosciences|September 23, 2021
Research Trends in the Application of Yoga to Human Health: A Data Science ApproachChaitra Gururaja, D Rangaprakash, Gopikrishna Deshpande
Frontiers in Neuroscience|July 31, 2023
The confound of hemodynamic response function variability in human resting-state functional MRI studiesD Rangaprakash, Robert L Barry, Gopikrishna Deshpande
Brain Informatics|December 4, 2019
Deterioration from healthy to mild cognitive impairment and Alzheimer's disease mirrored in corresponding loss of centrality in directed brain networksSinan Zhao, D Rangaprakash, Peipeng Liang, et al.
Frontiers in Neuroinformatics|September 29, 2025
VAE deep learning model with domain adaptation, transfer learning and harmonization for diagnostic classification from multi-site neuroimaging dataGopikrishna Deshpande, Bonian Lu, Nguyen Huynh, et al.
Pageof 5