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Gopikrishna Deshpande

Showing results (1-10 of 130) with videos related to

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Frontiers in Neuroscience|March 3, 2020
Multi-Level Clustering of Dynamic Directional Brain Network Patterns and Their Behavioral RelevanceGopikrishna Deshpande, Hao Jia
Brain and Behavior|July 13, 2019
Combining Prospective Acquisition CorrEction (PACE) with retrospective correction to reduce motion artifacts in resting state fMRI dataPradyumna Lanka, Gopikrishna Deshpande
Brain Sciences|October 27, 2022
Noninvasive Characterization of Functional Pathways in Layer-Specific Microcircuits of the Human Brain Using 7T fMRIGopikrishna Deshpande, Yun Wang
Neuroinformatics|March 27, 2026
The Deep Learning Revolution in Neuroimaging: Insights from a Bibliometric Analysis (2014-2024)Jyotismita Chaki, Gopikrishna Deshpande
Data in Brief|October 23, 2018
Resting state fMRI data from subjects scanned with the EPI-PACE (Echoplanar Imaging - Prospective Acquisition CorrEction) sequencePradyumna Lanka, Gopikrishna Deshpande
Frontiers in Neuroscience|April 30, 2024
A review of the applications of generative adversarial networks to structural and functional MRI based diagnostic classification of brain disordersNguyen Huynh, Gopikrishna Deshpande
Current Neuropharmacology|June 7, 2024
Brain Disorder Detection and Diagnosis using Machine Learning and Deep Learning - A Bibliometric AnalysisJyotismita Chaki, Gopikrishna Deshpande
Brain Connectivity|September 29, 2012
Investigating effective brain connectivity from fMRI data: past findings and current issues with reference to Granger causality analysisGopikrishna Deshpande, Xiaoping Hu
Brain Informatics|January 17, 2022
Resting state fMRI connectivity is sensitive to laminar connectional architecture in the human brainGopikrishna Deshpande, Yun Wang, Jennifer Robinson
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
Pageof 13

Showing results (1-10 of 130) with videos related to

Sort By:
Pageof 13
Frontiers in Neuroscience|March 3, 2020
Multi-Level Clustering of Dynamic Directional Brain Network Patterns and Their Behavioral RelevanceGopikrishna Deshpande, Hao Jia
Brain and Behavior|July 13, 2019
Combining Prospective Acquisition CorrEction (PACE) with retrospective correction to reduce motion artifacts in resting state fMRI dataPradyumna Lanka, Gopikrishna Deshpande
Brain Sciences|October 27, 2022
Noninvasive Characterization of Functional Pathways in Layer-Specific Microcircuits of the Human Brain Using 7T fMRIGopikrishna Deshpande, Yun Wang
Neuroinformatics|March 27, 2026
The Deep Learning Revolution in Neuroimaging: Insights from a Bibliometric Analysis (2014-2024)Jyotismita Chaki, Gopikrishna Deshpande
Data in Brief|October 23, 2018
Resting state fMRI data from subjects scanned with the EPI-PACE (Echoplanar Imaging - Prospective Acquisition CorrEction) sequencePradyumna Lanka, Gopikrishna Deshpande
Frontiers in Neuroscience|April 30, 2024
A review of the applications of generative adversarial networks to structural and functional MRI based diagnostic classification of brain disordersNguyen Huynh, Gopikrishna Deshpande
Current Neuropharmacology|June 7, 2024
Brain Disorder Detection and Diagnosis using Machine Learning and Deep Learning - A Bibliometric AnalysisJyotismita Chaki, Gopikrishna Deshpande
Brain Connectivity|September 29, 2012
Investigating effective brain connectivity from fMRI data: past findings and current issues with reference to Granger causality analysisGopikrishna Deshpande, Xiaoping Hu
Brain Informatics|January 17, 2022
Resting state fMRI connectivity is sensitive to laminar connectional architecture in the human brainGopikrishna Deshpande, Yun Wang, Jennifer Robinson
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
Pageof 13