Juhyuk Han
Datos Biográficos
| ID | 7960273 |
|---|---|
| NOMBRE | Juhyuk Han |
| NOMBRES | Juhyuk |
| APELLIDO | Han |
| FIRMA | HAN J |
| AFILIACIONES | Kyung Hee University |
| VERIFICADO | No |
| TOTAL DE OBRAS | 1 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 1 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2025 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2025 |
| ÍNDICE H | 0 |
A multimodal ensemble stacking model improves brain age prediction and reveals associations with schizophrenia symptoms
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…
Sin obras prominentes en esta página.
A multimodal ensemble stacking model improves brain age prediction and reveals associations with schizophrenia symptoms
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)