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Juhyuk Han

Dados Biográficos

ID7960273
NOMEJuhyuk Han
PRENOMESJuhyuk
SOBRENOMEHan
ASSINATURAHAN J
AFILIAÇÕESKyung Hee University
VERIFICADONão
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2025
ANO MAIS RECENTE DE PUBLICAÇÃO2025
ÍNDICE H0
  • A multimodal ensemble stacking model improves brain age prediction and reveals associations with schizophrenia symptoms

    Open Access•Junhyeok Lee, Seo Yeong Kim et al.•ARTICLE•Frontiers in Psychiatry•2025

    Our findings demonstrate that integrating sMRI and FA features improves brain age prediction accuracy and generalization. Furthermore, the correlation between brainPAD and clinical symptoms highlights its potential as a biomarker for disease progression and treatment monitoring. These results underscore the value of multimodal neuroimaging and machine learning in advancing psychiatric neuroimaging research and paving the way for clinical applicat…

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  • A multimodal ensemble stacking model improves brain age prediction and reveals associations with schizophrenia symptoms

    Open Access•Junhyeok Lee, Seo Yeong Kim et al.•ARTICLE•Frontiers in Psychiatry•2025

    Our findings demonstrate that integrating sMRI and FA features improves brain age prediction accuracy and generalization. Furthermore, the correlation between brainPAD and clinical symptoms highlights its potential as a biomarker for disease progression and treatment monitoring. These results underscore the value of multimodal neuroimaging and machine learning in advancing psychiatric neuroimaging research and paving the way for clinical applicat…

Functional Brain Connectivity Studies (1 obras) · Machine Learning in Healthcare (1 obras) · Medicine (1 obras) · Neuroscience (1 obras) · Psychiatry (1 obras) · Psychology (1 obras) · Schizophrenia (object-oriented programming (1 obras) · Schizophrenia research and treatment (1 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae