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6.6.2 Automated (38)
Showing records 1 to 25
Display all abstracts in classification 6.6.2 Automated
Search within classification 6.6.2 Automated57148 Evaluation of various machine learning methods to predict vision-related quality of life from visual field data and visual acuity in patients with glaucoma
Hirasawa H; Murata H; Mayama C; Araie M; Asaoka R
British Journal of Ophthalmology 2014; 98: 1230-1235
57129 A comparative effectiveness analysis of visual field outcomes after projected glaucoma screening using SD-OCT in African American communities
Blumberg DM; Vaswani R; Nong E; Al-Aswad L; Cioffi GA
Investigative Ophthalmology and Visual Science 2014; 55: 3491-3500
57483 Optic disc tilt direction determines the location of initial glaucomatous damage
Choi JA; Park HY; Shin HY; Park CK
Investigative Ophthalmology and Visual Science 2014; 55: 4991-4998
57407 Refined Data Analysis Provides Clinical Evidence for Central Nervous System Control of Chronic Glaucomatous Neurodegeneration
Sponsel WE; Groth SL; Satsangi N; Maddess T; Reilly MA
Translational vision science & technology 2014; 3: 1
57467 Reducing variability in visual field assessment for glaucoma through filtering that combines structural and functional information
Deng L; Demirel S; Gardiner SK
Investigative Ophthalmology and Visual Science 2014; 55: 4593-4602
56939 A method to measure visual field sensitivity at the edges of glaucomatous scotomata
Aoyama Y; Murata H; Tahara M; Yanagisawa M; Hirasawa K; Mayama C; Asaoka R
Investigative Ophthalmology and Visual Science 2014; 55: 2584-2591
57338 Prediction of glaucomatous visual field progression: pointwise analysis
Shon K; Wollstein G; Schuman JS; Sung KR
Current Eye Research 2014; 39: 705-710
57032 A new index to monitor central visual field progression in glaucoma
De Moraes CG; Furlanetto RL; Ritch R; Liebmann JM
Ophthalmology 2014; 121: 1531-1538
56978 Structure-function relationships with spectral-domain optical coherence tomography retinal nerve fiber layer and optic nerve head measurements
Pollet-Villard F; Chiquet C; Romanet JP; Noel C; Aptel F
Investigative Ophthalmology and Visual Science 2014; 55: 2953-2962
57477 Evaluation of Octopus Polar Trend Analysis for detection of glaucomatous progression
Holló G; Naghizadeh F
European Journal of Ophthalmology 2014; 24: 862-868
57025 Structure-function correlations in glaucoma using matrix and standard automated perimetry versus time-domain and spectral-domain OCT devices
Pinto LM; Costa EF; Melo LA; Gross PB; Sato ET; Almeida AP; Maia A; Paranhos A
Investigative Ophthalmology and Visual Science 2014; 55: 3074-3080
57436 Mapping glaucoma patients' 30-2 and 10-2 visual fields reveals clusters of test points damaged in the 10-2 grid that are not sampled in the sparse 30-2 grid
Asaoka R
PLoS ONE 2014; 9: e98525
57219 Severity-dependent association between ganglion cell inner plexiform layer thickness and macular mean sensitivity in open-angle glaucoma
Kim KE; Park KH; Jeoung JW; Kim SH; Kim DM
Acta Ophthalmologica 2014; 92: e650-e656
56938 Optimizing structure-function relationship by maximizing correspondence between glaucomatous visual fields and mathematical retinal nerve fiber models
Erler NS; Bryan SR; Eilers PH; Lesaffre EM; Lemij HG; Vermeer KA
Investigative Ophthalmology and Visual Science 2014; 55: 2350-2357
57335 Detection of early glaucomatous progression with octopus cluster trend analysis
Naghizadeh F; Holló G
Journal of Glaucoma 2014; 23: 269-275
57124 Reduction in mean deviation values in automated perimetry in eyes with multifocal compared to monofocal intraocular lens implants
Farid M; Chak G; Garg S; Steinert RF
American Journal of Ophthalmology 2014; 158: 227-231.e1
56991 Visual impairment registration: evaluation of agreement among ophthalmologists
Guerin E; Bouliotis G; King A
Eye 2014; 28: 808-813
57119 Customized, automated stimulus location choice for assessment of visual field defects
Chong LX; McKendrick AM; Ganeshrao SB; Turpin A
Investigative Ophthalmology and Visual Science 2014; 55: 3265-3274
57532 Effect of yellow-tinted intraocular lens on standard automated perimetry and short wavelength automated perimetry in patients with glaucoma
Nilforushan N; Parsamanesh M; Yu F; Nassiri N; Miraftabi A; Coleman AL
Middle East African Journal of Ophthalmology 2014; 21: 216-219
57378 Rates of glaucomatous visual field change in a large clinical population
Chauhan BC; Malik R; Shuba LM; Rafuse PE; Nicolela MT; Artes PH
Investigative Ophthalmology and Visual Science 2014; 55: 4135-4143
57172 Exploring early glaucoma and the visual field test: classification and clustering using Bayesian networks
Ceccon S; Garway-Heath DF; Crabb DP; Tucker A
IEEE journal of biomedical and health informatics 2014; 18: 1008-1014
56986 Identification of functional visual field loss by automated static perimetry
Frisén L
Acta Ophthalmologica 2014; 92: 805-809
57016 Effect of a variability-adjusted algorithm on the efficiency of perimetric testing
Gardiner SK
Investigative Ophthalmology and Visual Science 2014; 55: 2983-2992
57246 Applying theories and interventions from behavioral medicine to understand and reduce visual field variability in patients with vision loss
Rozanski C; Haythornthwaite JA; Dagnelie G; Bittner AK
Medical Hypotheses 2014; 83: 190-195
56783 Perimetric measurements with flicker-defined form stimulation in comparison with conventional perimetry and retinal nerve fiber measurements
Horn FK; Tornow RP; Jünemann AG; Laemmer R; Kremers J
Investigative Ophthalmology and Visual Science 2014; 55: 2317-2323
