Work

Comparison of PCA approaches for very large group ICA

Year: 2015

Type: article

Source: NeuroImage

DOI: 10.1016/j.neuroimage.2015.05.047

Authors: Vince D. Calhoun, Rogers F. Silva, Tülay Adalı, Srinivas Rachakonda

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

Language: English

Topic: Blind Source Separation Techniques

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: National Institutes of Health, National Institute of Mental Health, National Institute on Drug Abuse, National Institute of General Medical Sciences, National Institute of Biomedical Imaging and Bioengineering

Awards: Unified multivariate data-driven solutions for static and dynamic brain connectivity, COINSTAC 2.0: decentralized, scalable analysis of loosely coupled data, Mining the Genomewide Scan: Genetic Profiles of Structural Loss in Schizophrenia, Integration of brain imaging with genomic and epigenomic data, Informed Data-Driven Fusion of Behavior, Brain Function, and Genes, Multimodal Imaging of Neuropsychiatric Disorders (MIND): Mechanisms &, Multivariate methods for identifying multitask/multimodal brain imaging biomarkers

OpenAlex ID: W827857842

FWCI: 4.455

Cites: 22

Cited by: 20

Related to: 10