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2. From Machine to Machine: An OCT-trained Deep Learning Algorithm for Objective Quantification of Glaucomatous Damage in Fundus Photographs

9. Association of fractal dimension and other retinal vascular network parameters with cognitive performance and neuroimaging biomarkers: The Multi‐Ethnic Study of Atherosclerosis (MESA)

15. Association of fractal dimension and other retinal vascular network parameters with cognitive performance and neuroimaging biomarkers: The Multi‐Ethnic Study of Atherosclerosis (MESA).

16. A Comparison of Black and Non-Black Patients in the Presentation and Treatment of Keratoconus.

22. Relationship of self-reported and performance-based visual function with performance-based measures of physical function: the Health ABC study.

24. Association between contrast sensitivity and physical function in cognitively healthy older adults: the Brain Network and Mobility Function Study

26. Retinal Vascular Changes in Alzheimer's Dementia and Mild Cognitive Impairment: A Pilot Study Using Ultra-Widefield Imaging

32. Deep learning and optical coherence tomography in glaucoma: Bridging the diagnostic gap on structural imaging

44. Optical Coherence Tomography in Patients with Alzheimer’s Disease: What Can It Tell Us?

45. Reply to: “Comment on Choroidal Structural Analysis in Alzheimer Disease, Mild Cognitive Impairment, and Cognitively Healthy Controls”

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