Glaucoma Progression Detection Using Structural Retinal Nerve Fiber Layer Measurements and Functional Visual Field Points-Reference-Cited by-同舟云学术

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Glaucoma Progression Detection Using Structural Retinal Nerve Fiber Layer Measurements and Functional Visual Field Points

Published:2014-04 Issue:4 Volume:61 Page:1143-1154
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Yousefi Siamak,Goldbaum Michael H.,Balasubramanian Madhusudhanan,Tzyy-Ping Jung ,Weinreb Robert N.,Medeiros Felipe A.,Zangwill Linda M.,Liebmann Jeffrey M.,Girkin Christopher A.,Bowd Christopher

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/10/6774470/06689303.pdf?arnumber=6689303

Cited by 83 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. Prediction of Visual Field Progression with Baseline and Longitudinal Structural Measurements Using Deep Learning;American Journal of Ophthalmology;2024-06

3. Artificial intelligence – can technology help predict the progression of keratoconus? A systematic review;2024-04-30

4. An Artificial Intelligence Enabled System for Retinal Nerve Fiber Layer Thickness Damage Severity Staging;Ophthalmology Science;2024-03

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

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