Junran Zhang
Dados Biográficos
| ID | 7954663 |
|---|---|
| NOME | Junran Zhang |
| PRENOMES | Junran |
| SOBRENOME | Zhang |
| ASSINATURA | ZHANG J |
| AFILIAÇÕES | Sichuan University |
| ORCID | 0000-0002-8035-8824 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 2 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 2 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2022 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 0 |
Integrating multi-atlas neuroimaging data for robust biomarker identification in neuropsychiatric disorders
MSAT-LAFFNet demonstrates superior classification performance and provides neurobiologically interpretable findings, showing potential as an effective tool for the auxiliary diagnosis of disorders characterized by disrupted functional networks
Mapping structural covariance networks in children and adolescents with post-traumatic stress disorder after earthquake
For children and adolescents, there is a high risk of developing post-traumatic stress disorder (PTSD) after suffering from catastrophic events. Previous studies have identified brain functionally and subcortical brain volumes structurally abnormalities in this population. However, up till now, researches exploring alterations of regional cortical thickness (CTh) and brain interregional structural covariance networks (SCNs) are scarce. In this cr…
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Mapping structural covariance networks in children and adolescents with post-traumatic stress disorder after earthquake
For children and adolescents, there is a high risk of developing post-traumatic stress disorder (PTSD) after suffering from catastrophic events. Previous studies have identified brain functionally and subcortical brain volumes structurally abnormalities in this population. However, up till now, researches exploring alterations of regional cortical thickness (CTh) and brain interregional structural covariance networks (SCNs) are scarce. In this cr…
Integrating multi-atlas neuroimaging data for robust biomarker identification in neuropsychiatric disorders
MSAT-LAFFNet demonstrates superior classification performance and provides neurobiologically interpretable findings, showing potential as an effective tool for the auxiliary diagnosis of disorders characterized by disrupted functional networks
Functional Brain Connectivity Studies (2 obras) · Amygdala (1 obras) · Artificial neural network (1 obras) · Audiology (1 obras) · Autism (1 obras) · Autism spectrum disorder (1 obras) · Biomarker (1 obras) · Brain morphometry (1 obras) · Clinical Psychology (1 obras) · Clinical Psychology (1 obras)