Name
Title | ||
|---|---|---|
A Multi-Domain Connectome Convolutional Neural Network for Identifying Schizophrenia from EEG Connectivity Patterns. |
Abstract | ||
|---|---|---|
Objective: We exploit altered patterns in brain functional connectivity as features for automatic discriminative analysis of neuropsychiatric patients. Deep learning methods have been introduced to functional network classification only very recently for fMRI, and the proposed architectures essentially focused on a single type of connectivity measure. Methods: We propose a deep convolutional neura... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/JBHI.2019.2941222 | IEEE Journal of Biomedical and Health Informatics |
Keywords | DocType | Volume |
Electroencephalography,Reactive power,Time measurement,Frequency-domain analysis,Brain modeling | Journal | 24 |
Issue | ISSN | Citations |
5 | 2168-2194 | 3 |
PageRank | References | Authors |
0.37 | 21 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chun-Ren Phang | 1 | 4 | 0.72 |
| Fuad Noman | 2 | 4 | 1.73 |
| Hadrina Sh-Hussain | 3 | 4 | 2.07 |
| Chee-Ming Ting | 4 | 72 | 13.17 |
| Hernando Ombao | 5 | 98 | 18.00 |