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6.6.2 Automated (22)
Showing records 1 to 22
Display all abstracts in classification 6.6.2 Automated
Search within classification 6.6.2 Automated20605 Traffic gap judgment in people with significant peripheral field loss
Cheong AMY; Geruschat DR; Congdon N
Optometry and Vision Science 2008; 85: 26-36
20853 Optic Nerve Head Drusen and Visual Field Loss in Normotensive and Hypertensive Eyes
Grippo TM; Shihadeh WA; Schargus M; Gramer E; Tello C; Liebmann JM; Ritch R
Journal of Glaucoma 2008; 17: 100-104
20851 A Comparison of Semiautomated Versus Manual Goldmann Kinetic Perimetry in Patients With Visually Significant Glaucoma
Ramirez AM; Chaya CJ; Gordon LK; Giaconi JA
Journal of Glaucoma 2008; 17: 111-117
20583 Update on the natural history of glaucoma
Hitchings R
Eye 2007; 21: S2-S5
20593 Spatio-temporal modeling of perimetric test data
Ibanez MV; Simo A
Statistical Methods in Medical Research 2007; 16: 497-522
20725 Effect of optical media changes on white-on-white Humphry field analyser perimetry and frequency doubling technology perimetry
Shen J-Q; Hitchings RA; Fitzke FW
International Journal of Ophthalmology 2008; 8: 10-12
20698 The effect of ocular hypotensive agents on macula
Ozturk F; Yavas GF; Kusbeci T
Annals of ophthalmology (Skokie, Ill.) 2007; 39: 302-306
20850 A Comparison Among Humphrey Field Analyzer, Microperimetry, and Heidelberg Retina Tomograph in the Evaluation of Macula in Primary Open Angle Glaucoma
Öztürk F; Fatma Yavas G; Küsbeci T; Samet Ermis S
Journal of Glaucoma 2008; 17: 118-121
20803 Humphrey Matrix Perimetry in Optic Nerve and Chiasmal Disorders: Comparison with Humphrey SITA Standard 24-2
Huang CQ; Carolan J; Redline D; Taravati P; Woodward KR; Johnson CA; Wall M; Keltner JL
Investigative Ophthalmology and Visual Science 2008; 49: 917-923
20819 Evaluation of threshold estimation and learning effect of two perimetric strategies, SITA Fast and CLIP, in damaged visual fields
Capris P; Autuori S; Capris E; Papadia M
European Journal of Ophthalmology 2008; 18: 182-190
20793 Diagnostic accuracy of the matrix 24-2 and original N-30 frequency-doubling technology tests compared with standard automated perimetry
Racette L; Medeiros FA; Zangwill LM; Ng D; Weinreb RN; Sample PA
Investigative Ophthalmology and Visual Science 2008; 49: 954-960
20830 Sensitivity and specificity of the humphrey matrix to detect homonymous hemianopias
Taravati P; Woodward KR; Keltner JL; Johnson CA; Redline D; Carolan J; Huang CQ; Wall M
Investigative Ophthalmology and Visual Science 2008; 49: 924-928
20699 Comparison between indices of Humphrey matrix and Humphrey perimetry in early glaucoma patients and normal subjects
Hong S; Yeom HY; Kim CY; Seong GJ
Annals of ophthalmology (Skokie, Ill.) 2007; 39: 318-320
20697 Comparison of an automated confrontation testing device versus finger counting in the detection of field loss
Bass SJ; Cooper J; Feldman J; Horn D
Optometry 2007; 78: 390-395
20303 Relationship between second-generation frequency doubling technology and standard automated perimetry in patients with glaucoma
Zarkovic A; Mora J; McKelvie J; Gamble G
Clinical and Experimental Ophthalmology 2007; 35: 808-811
20645 Correlation of the Heidelberg retinal tomograph, evaluation of the retinal nerve fiber layer and perimetry in the diagnosis of glaucoma
Skorkovska S; Michalek J; Sedlacik M; Maskova Z; Koci J
Česka a Slovenska Oftalmologie 2007; 63: 403-414
20395 Comparison of optic nerve head topography and visual field in eyes with open-angle and angle-closure glaucoma
Boland MV; Zhang L; Broman AT; Jampel HD; Quigley HA
Ophthalmology 2008; 115: 239-245e2
20467 Automated perimetry in patients with primary congenital glaucoma
Lopes Filho JGG; Betinjane AJ; de Carvalho CA
Arquivos Brasileiros de Oftalmologia 2007; 70: 37-40
20815 Differential diagnosis in visual field defects of glaucoma patients
Brunotte I; Haubitz B; Winter R; Meyer MW
Klinische Monatsblätter für Augenheilkunde 2008; 225: 169-172
20427 Estimating the rate of progressive visual field damage in those with open-angle glaucoma, from cross-sectional data
Broman AT; Quigley HA; West SK; Katz J; Munoz B; Bandeen-Roche K; Tielsch JM; Friedman DS; Crowston J; Taylor HR
Investigative Ophthalmology and Visual Science 2008; 49: 66-76
20340 A visual field index for calculation of glaucoma rate of progression
Bengtsson B; Heijl A
American Journal of Ophthalmology 2008; 145: 343-353
20792 Bayesian machine learning classifiers for combining structural and functional measurements to classify healthy and glaucomatous eyes
Bowd C; Hao J; Tavares IM; Medeiros FA; Zangwill LM; Lee TW; Sample PA; Weinreb RN; Goldbaum MH
Investigative Ophthalmology and Visual Science 2008; 49: 945-953