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6.6.2 Automated (227)
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Burton R
Japanese Journal of Ophthalmology 2015; 59: 94-102
60322 Structural and functional changes in glaucoma: comparing the two-flash multifocal electroretinogram to optical coherence tomography and visual fields
Ledolter AA
Documenta Ophthalmologica 2015; 130: 197-209
60090 Retinal nerve fibre layer thickness floor and corresponding functional loss in glaucoma
Mwanza JC
British Journal of Ophthalmology 2015; 99: 732-737
60361 Correlation of localized glaucomatous visual field defects and spectral domain optical coherence tomography retinal nerve fiber layer thinning using a modified structure-function map for OCT
Wu H
Eye 2015; 29: 525-533
60738 Chromatic-achromatic perimetry in four clinic cases: Glaucoma and diabetes
Cabezos I
Indian Journal of Ophthalmology 2015; 63: 146-151
60796 The Effect of Stimulus Size on the Reliable Stimulus Range of Perimetry
Gardiner SK
Translational vision science & technology 2015; 4: 10
60409 CLOCK CHART(®): a novel multi-stimulus self-check visual field screener
Matsumoto C
Japanese Journal of Ophthalmology 2015; 59: 187-193
60193 Disease severity in newly diagnosed glaucoma patients with visual field loss: trends from more than a decade of data
Boodhna T
Ophthalmic and Physiological Optics 2015; 35: 225-230
60742 Macular structure-function relationship at various spatial locations in glaucoma
Kim S
British Journal of Ophthalmology 2015; 99: 1412-1418
60691 Choosing two points to add to the 24-2 pattern to better describe macular visual field damage due to glaucoma
Chen S
British Journal of Ophthalmology 2015; 99: 1236-1239
60679 Do pattern deviation values accurately estimate glaucomatous visual field damage in eyes with glaucoma and cataract?
Matsuda A
British Journal of Ophthalmology 2015; 99: 1240-1244
60623 Comparison of risk factor profiles for primary open angle glaucoma subtypes defined by pattern of visual field loss: a prospective study
Kang JH
Investigative Ophthalmology and Visual Science 2015; 0:
60693 Compass: clinical evaluation of a new instrument for the diagnosis of glaucoma
Rossetti L
PLoS ONE 2015; 10: e0122157
60497 Applying 'Lasso' regression to predict future visual field progression in glaucoma patients
Fujino Y
Investigative Ophthalmology and Visual Science 2015; 56: 2334-2339
60302 Evaluation of a Method for Estimating Retinal Ganglion Cell Counts Using Visual Fields and Optical Coherence Tomography
Raza AS
Investigative Ophthalmology and Visual Science 2015; 56: 2254-2268
60086 Relationships of retinal structure and humphrey 24-2 visual field thresholds in patients with glaucoma
Bogunović H
Investigative Ophthalmology and Visual Science 2015; 56: 259-271
60799 Visual field loss in primary congenital glaucoma
Sinha G
Journal of AAPOS 2015; 19: 124-129
60551 Structure-Function Correlation Using Confocal Laser Ophthalmoscope in Primary Open-Angle Glaucoma and Pseudoexfoliative Glaucoma
Pappas T
Journal of Glaucoma 2016; 25: 377-382
60451 Evaluation of a One-Page Report to Aid in Detecting Glaucomatous Damage
Hood DC
Translational vision science & technology 2014; 3: 8
60393 The Correlation Between Glaucomatous Visual Field Loss and Vision-related Quality of Life
Orta AÖ
Journal of Glaucoma 2015; 24: e121-e127
60461 Estimating the true distribution of visual field progression rates in glaucoma
Anderson AJ
Investigative Ophthalmology and Visual Science 2015; 56: 1603-1608
59662 Temporal retinal thickness in eyes with glaucomatous visual field defects using optical coherence tomography
Sihota R
Journal of Glaucoma 2015; 24: 257-261
60653 The relationship between structure and function as measured by OCT and Octopus perimetry
Monsalve B
British Journal of Ophthalmology 2015; 99: 1230-1235
60564 Glaucoma morphologic damage estimated from functional tests
de la Rosa MG
European Journal of Ophthalmology 2015; 0: 0
60491 Nonlinear Trend Analysis of Longitudinal Pointwise Visual Field Sensitivity in Suspected and Early Glaucoma
Pathak M
Translational vision science & technology 2015; 4: 8