A New Approach to Measure Visual Field Progression in Glaucoma Patients Using Variational Bayes Linear Regression-Reference-Cited by-同舟云学术

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A New Approach to Measure Visual Field Progression in Glaucoma Patients Using Variational Bayes Linear Regression

Published:2014-11-20 Issue:12 Volume:55 Page:8386-8392
ISSN:0146-0404
Container-title:Investigative Ophthalmology & Visual Science
language:en
Short-container-title:Investigative Ophthalmology & Visual Science

Author:

Murata H.,Araie M.,Asaoka R.

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Subject

Cellular and Molecular Neuroscience,Sensory Systems,Ophthalmology

Cited by 46 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Progression or Aging? A Deep Learning Approach for Distinguishing Glaucoma Progression From Age-Related Changes in OCT Scans;American Journal of Ophthalmology;2024-10

2. Bidirectional gated recurrent unit network model can generate future visual field with variable number of input elements;PLOS ONE;2024-08-27

3. Detecting Fast Progressors: Comparing a Bayesian Longitudinal Model to Linear Regression for Detecting Structural Changes in Glaucoma;American Journal of Ophthalmology;2024-05

4. Understanding and identifying visual field progression;Clinical and Experimental Optometry;2024-02-17

5. Advancing Glaucoma Care: Integrating Artificial Intelligence in Diagnosis, Management, and Progression Detection;Bioengineering;2024-01-26

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