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Classification #6.6.2
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6.6.2 Automated
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72977
Impact of the Ability to Divide Attention on Reading Performance in Glaucoma
Swenor BK
Investigative Ophthalmology and Visual Science
2017; 58: 2456-2462
72766
Evaluation of a Novel Visual Field Analyzer Application for Automated Classification of Glaucoma Severity
Germano RAS
Journal of Glaucoma
2017; 26: 586-591
73168
24-2 Visual Fields Miss Central Defects Shown on 10-2 Tests in Glaucoma Suspects, Ocular Hypertensives, and Early Glaucoma
De Moraes CG
Ophthalmology
2017; 124: 1449-1456
73414
Evidence-based Criteria for Assessment of Visual Field Reliability
Yohannan J
Ophthalmology
2017; 124: 1612-1620
72816
Structure-Function Relationship Between the Bruch Membrane Opening-based Minimum Rim Width and Visual Field Defects in Advanced Glaucoma
Imamoglu S
Journal of Glaucoma
2017; 26: 561-565
73167
Multiple Temporal Lamina Cribrosa Defects in Myopic Eyes with Glaucoma and Their Association with Visual Field Defects
Sawada Y
Ophthalmology
2017; 124: 1600-1611
72952
Detecting Glaucoma With a Portable Brain-Computer Interface for Objective Assessment of Visual Function Loss
Nakanishi M
JAMA ophthalmology
2017; 135: 550-557
72759
Correlation between central corneal thickness and visual field defects, cup to disc ratio and retinal nerve fiber layer thickness in primary open angle glaucoma patients
Sarfraz MH
Pakistan journal of medical sciences
2017; 33: 132-136
72847
Binocular Measures of Visual Acuity and Visual Field versus Binocular Approximations
Musch DC
Ophthalmology
2017; 124: 1031-1038
73175
The Association of Glaucomatous Visual Field Loss and Balance
de Luna RA
Translational vision science & technology
2017; 6: 8
72918
Using perimetric data to estimate ganglion cell loss for detecting progression of glaucoma: a comparison of models
Price DA
Ophthalmic and Physiological Optics
2017; 37: 409-419
72922
Comparison of Size Modulation Standard Automated Perimetry and Conventional Standard Automated Perimetry with a 10-2 Test Program in Glaucoma Patients
Hirasawa K
Current Eye Research
2017; 0: 1-9
72867
Long-term clinical course of normotensive preperimetric glaucoma
Sawada A
British Journal of Ophthalmology
2017; 101: 1649-1653
72597
Frequency of Testing to Detect Visual Field Progression Derived Using a Longitudinal Cohort of Glaucoma Patients
Wu Z
Ophthalmology
2017; 124: 786-792
73146
Comparison of matrix frequency-doubling technology perimetry and standard automated perimetry in monitoring the development of visual field defects for glaucoma suspect eyes
Hu R
PLoS ONE
2017; 12: e0178079
72875
Regional Relationship between Macular Retinal Thickness and Corresponding Central Visual Field Sensitivity in Glaucoma Patients
Liu CH
Journal of Ophthalmology
2017; 2017: 3720157
72701
Visual Field Defects in Young Patients With Open-angle Glaucoma: Comparison Between High-tension and Normal-tension Glaucoma
Park JH
Journal of Glaucoma
2017; 26: 541-547
72905
Regional vascular density-visual field sensitivity relationship in glaucoma according to disease severity
Shin JW
British Journal of Ophthalmology
2017; 101: 1666-1672
72719
Association of Structural and Functional Measures With Contrast Sensitivity in Glaucoma
Fatehi N
American Journal of Ophthalmology
2017; 178: 129-139
72647
Correlation between Visual Field Index and Other Functional and Structural Measures in Glaucoma Patients and Suspects
Iutaka NA
Journal of ophthalmic & vision research
2017; 12: 53-57
73000
Association of Glaucoma-Susceptible Genes to Regional Circumpapillary Retinal Nerve Fiber Layer Thickness and Visual Field Defects
Yoshikawa M
Investigative Ophthalmology and Visual Science
2017; 58: 2510-2519
72739
Impact of Rates of Change of Lamina Cribrosa and Optic Nerve Head Surface Depths on Visual Field Progression in Glaucoma
Wu Z
Investigative Ophthalmology and Visual Science
2017; 58: 1825-1833
73069
Comparison of isolated-check visual evoked potential and standard automated perimetry in early glaucoma and high-risk ocular hypertension
Chen XW
International Journal of Ophthalmology
2017; 10: 599-604
72998
Using CorvisST tonometry to assess glaucoma progression
Matsuura M
PLoS ONE
2017; 12: e0176380
72696
The Association Between Clinical Features Seen on Fundus Photographs and Glaucomatous Damage Detected on Visual Fields and Optical Coherence Tomography Scans
Alhadeff PA
Journal of Glaucoma
2017; 26: 498-504
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