Deep Learning Approach Predicts Longitudinal Retinal Nerve Fiber Layer Thickness Changes

Jalili, J., Walker, E., Bowd, C., Belghith, A., Goldbaum, M. H., Fazio, M. A., Girkin, C. A., De Moraes, C. G., Liebmann, J. M., Weinreb, R. N., Zangwill, L. M., & Christopher, M. (2025). Deep Learning Approach Predicts Longitudinal Retinal Nerve Fiber Layer Thickness Changes. Bioengineering, 12(2), 139. https://doi.org/10.3390/bioengineering12020139
Authors:
Jalil Jalili
Evan Walker
Christopher Bowd
Akram Belghith
Michael H. Goldbaum
Massimo A. Fazio
Christopher A. Girkin
Carlos Gustavo De Moraes
Jeffrey M. Liebmann
Robert N. Weinreb
Linda M. Zangwill
Mark Christopher
Affiliated Authors:
Carlos Gustavo De Moraes
Jeffrey M. Liebmann
Columbia Affiliation:
Subjects:
Detection and Management of Retinal Diseases (OpenAlex Topic)
Global Prevalence and Treatment of Glaucoma (OpenAlex Topic)
Age-Related Macular Degeneration Research (OpenAlex Topic)
Author Keywords:
rnfl thickness prediction
deep learning
glaucoma
longitudinal oct
one-dimensional convolutional neural network
optical coherence tomography
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Publication Type:
Article
Unique ID:
10.3390/bioengineering12020139
DOI:
10.3390/bioengineering12020139
Journal:
Bioengineering
Publication Date:
Data Source:
OpenAlex
Source Link:
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Record Created: