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

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

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

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

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

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

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

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

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