Work

A Convolutional Autoencoder-based Explainable Clustering Approach for Resting-State EEG Analysis*

Year: 2023

Type: conference-paper

Source: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

DOI: 10.1109/embc40787.2023.10340375

Authors: Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun

Institutions: Georgia Institute of Technology, Emory University, Georgia State University, Center for Translational Research in Neuroimaging and Data Science

Language: English

Topic: EEG and Brain-Computer Interfaces

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: National Institute of Mental Health

Awards: Dynamic imaging-genomic models for characterizing and predicting psychosis and mood disorders, Data-driven solutions for temporal, spatial, and spatiotemporal dynamic functional connectivity

OpenAlex ID: W4389543300

FWCI: 3.088

Cites: 20

Cited by: 6

Related to: 10