Work

Variational Bayesian independent component analysis-mixture model (VIM) to identify patterns of glaucomatous defect in Frequency Doubling Technology (FDT) perimetry data

Year: 2012

Type: article

Source: Investigative Ophthalmology & Visual Science

Authors: Christopher Bowd, Madhusudhanan Balasubramanian, Michael H. Goldbaum, Intae Lee, Felipe A. Medeiros, Linda M. Zangwill, Christopher A. Girkin, Jeffrey M. Liebmann, Pamela A. Sample, Robert N. Weinreb

Institutions: University of California San Diego, University of Alabama at Birmingham, New York Eye and Ear Infirmary, NYU Langone Health, New York University

Language: English

Topic: Glaucoma and retinal disorders

Subfield: Ophthalmology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W2994428561

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