V Sujitha
Biographic Data
| ID | 7962877 |
|---|---|
| NAME | V Sujitha |
| GIVEN NAMES | V |
| FAMILY NAME | Sujitha |
| SIGNATURE | SUJITHA V |
| AFFILIATIONS | Kunsan National University |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Ensemble graph neural network model for classification of major depressive disorder using whole-brain functional connectivity
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…
No prominent works on this page.
Ensemble graph neural network model for classification of major depressive disorder using whole-brain functional connectivity
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…
Artificial Intelligence (1 work) · Computer Science (1 work) · Convolutional neural network (1 work) · Dementia and Cognitive Impairment Research (1 work) · Ensemble forecasting (1 work) · Ensemble learning (1 work) · Functional Brain Connectivity Studies (1 work) · Functional magnetic resonance imaging (1 work) · Graph (1 work) · Major depressive disorder (1 work)