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In-Ho Ra

Biographic Data

ID7962878
NAMEIn-Ho Ra
GIVEN NAMESIn-Ho
FAMILY NAMERa
SIGNATURERA I
AFFILIATIONSKunsan National University
ORCID0000-0002-3936-1116
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2023
H-INDEX0
  • Ensemble graph neural network model for classification of major depressive disorder using whole-brain functional connectivity

    Open Access•V Sujitha, Sujitha Venkatapathy et al.•ARTICLE•Frontiers in Psychiatry•2023

    Major depressive disorder (MDD) is characterized by impairments in mood and cognitive functioning, and it is a prominent source of global disability and stress. A functional magnetic resonance imaging (fMRI) can aid clinicians in their assessments of individuals for the identification of MDD. Herein, we employ a deep learning approach to the issue of MDD classification. Resting-state fMRI data from 821 individuals with MDD and 765 healthy control…

  • Convergence of blockchain and artificial intelligence in IoT network for the sustainable smart city

    Open Access•Saurabh Singh, Pradip Kumar Sharma et al.•ARTICLE•Sustainable Cities and Society•2020

No prominent works on this page.

  • Convergence of blockchain and artificial intelligence in IoT network for the sustainable smart city

    Open Access•Saurabh Singh, Pradip Kumar Sharma et al.•ARTICLE•Sustainable Cities and Society•2020

  • Ensemble graph neural network model for classification of major depressive disorder using whole-brain functional connectivity

    Open Access•V Sujitha, Sujitha Venkatapathy et al.•ARTICLE•Frontiers in Psychiatry•2023

    Major depressive disorder (MDD) is characterized by impairments in mood and cognitive functioning, and it is a prominent source of global disability and stress. A functional magnetic resonance imaging (fMRI) can aid clinicians in their assessments of individuals for the identification of MDD. Herein, we employ a deep learning approach to the issue of MDD classification. Resting-state fMRI data from 821 individuals with MDD and 765 healthy control…

Computer Science (2 works) · Advanced Data and IoT Technologies (1 work) · Artificial Intelligence (1 work) · Blockchain (1 work) · Blockchain Technology Applications and Security (1 work) · Computer security (1 work) · Convolutional neural network (1 work) · Dementia and Cognitive Impairment Research (1 work) · Ensemble forecasting (1 work) · Ensemble learning (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae