Work

An Unsupervised Feature Learning Approach for Elucidating Hidden Dynamics in rs-fMRI Functional Network Connectivity

Year: 2022

Type: conference-paper

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

DOI: 10.1109/embc48229.2022.9871548

Authors: Charles A. Ellis, Mohammad S.E. Sendi, 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: Functional Brain Connectivity Studies

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Institutes of Health, National Institute of Biomedical Imaging and Bioengineering

Award: Multivariate methods for identifying multitask/multimodal brain imaging biomarkers

OpenAlex ID: W4294975253

FWCI: 5.071

Cites: 11

Cited by: 11

Related to: 10