Work

ACMTF for fusion of multi-modal neuroimaging data and identification of biomarkers

Year: 2017

Type: conference-paper

Source: European Signal Processing Conference (EUSIPCO)

DOI: 10.23919/eusipco.2017.8081286

Authors: Evrim Acar, Yuri Levin-Schwartz, Vince D. Calhoun, Tulay Adali

Institutions: University of Copenhagen, University of Maryland, Baltimore, University of Maryland, Baltimore County, Mind Research Network, University of New Mexico

Language: English

Topic: Tensor decomposition and applications

Subfield: Computational Mathematics

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Science Foundation, Danmarks Frie Forskningsfond, National Institutes of Health

Award: CIF: Small: Source Separation with an Adaptive Structure for Multi-Modal Data Fusion

OpenAlex ID: W2766902212

FWCI: 2.115

Cites: 23

Cited by: 27

Related to: 10