Test-Retest Variability of Microperimetry Using the Nidek MP1 in Patients with Macular Disease
Chen et al.
IOVS 2009;50:3464-3472.
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Use of a Continuous Probability Scale to Display Visual Field Damage
Wall et al.
Arch Ophthalmol 2009;127:749-756.
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Predicting Visual Sensitivity in Retinal Prosthesis Patients
Horsager et al.
IOVS 2009;50:1483-1491.
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Quantifying Adaptation and Fatigue Effects in Frequency Doubling Perimetry
Anderson and McKendrick
IOVS 2007;48:943-948.
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Monitoring Glaucomatous Visual Field Progression: The Effect of a Novel Spatial Filter
Strouthidis et al.
IOVS 2007;48:251-257.
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Topography of the frequency doubling perimetry visual field compared with that of short wavelength and achromatic automated perimetry visual fields
Landers et al.
Br. J. Ophthalmol. 2006;90:70-74.
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Relationships between Standard Automated Perimetry, HRT Confocal Scanning Laser Ophthalmoscopy, and GDx VCC Scanning Laser Polarimetry
Reus and Lemij
IOVS 2005;46:4182-4188.
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Normal Visual Field Test Results Following Glaucomatous Visual Field End Points in the Ocular Hypertension Treatment Study
Keltner et al.
Arch Ophthalmol 2005;123:1201-1206.
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Characteristics of the Normative Database for the Humphrey Matrix Perimeter
Anderson et al.
IOVS 2005;46:1540-1548.
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Pointwise Linear Regression for Evaluation of Visual Field Outcomes and Comparison With the Advanced Glaucoma Intervention Study Methods
Nouri-Mahdavi et al.
Arch Ophthalmol 2005;123:193-199.
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Appearance of the Pattern Deviation Map as a Function of Change in Area of Localized Field Loss
Asman et al.
IOVS 2004;45:3099-3106.
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Neural Losses Correlated with Visual Losses in Clinical Perimetry
Harwerth et al.
IOVS 2004;45:3152-3160.
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The Relationship between Standard Automated Perimetry and GDx VCC Measurements
Reus and Lemij
IOVS 2004;45:840-845.
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Perimetric Defects and Ganglion Cell Damage: Interpreting Linear Relations Using a Two-Stage Neural Model
Swanson et al.
IOVS 2004;45:466-472.
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Anatomy of a Supergroup: Does a Criterion of Normal Perimetric Performance Generate a Supernormal Population?
Anderson and Johnson
IOVS 2003;44:5043-5048.
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Relationship between Electrophysiological, Psychophysical, and Anatomical Measurements in Glaucoma
Garway-Heath et al.
IOVS 2002;43:2213-2220.
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Spatial and Temporal Processing of Threshold Data for Detection of Progressive Glaucomatous Visual Field Loss
Spry et al.
Arch Ophthalmol 2002;120:173-180.
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Comparison of Pupil Perimetry and Visual Perimetry in Normal Eyes: Decibel Sensitivity and Variability
Hong et al.
IOVS 2001;42:957-965.
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The Long-Term Fluctuation of the Visual Field in Stable Glaucoma
Hutchings et al.
IOVS 2000;41:3429-3436.
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Confirmation of Visual Field Abnormalities in the Ocular Hypertension Treatment Study
Keltner et al.
Arch Ophthalmol 2000;118:1187-1194.
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Simulation of Longitudinal Threshold Visual Field Data
Spry et al.
IOVS 2000;41:2192-2200.
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Scaling the Hill of Vision: The Physiological Relationship between Light Sensitivity and Ganglion Cell Numbers
GarwayHeath et al.
IOVS 2000;41:1774-1782.
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The SITA Perimetric Threshold Algorithms in Glaucoma
Wild et al.
IOVS 1999;40:1998-2009.
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Severity and Stability of Glaucoma: Patient Perception Compared With Objective Measurement
Viswanathan et al.
Arch Ophthalmol 1999;117:450-454.
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Quantitative evaluation of the optic nerve head in early glaucoma
Garway-Heath and Hitchings
Br. J. Ophthalmol. 1998;82:352-361.
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Early detection of visual field progression in glaucoma: a comparison of PROGRESSOR and STATPAC 2
Viswanathan et al.
Br. J. Ophthalmol. 1997;81:1037-1042.
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Variation of nerve fibre layer thickness measurements with age and ethnicity by scanning laser polarimetry
Poinoosawmy et al.
Br. J. Ophthalmol. 1997;81:350-354.
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Glaucoma Hemifield Test: Automated Visual Field Evaluation
Asman and Heijl
Arch Ophthalmol 1992;110:812-819.
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Evaluation of Methods for Automated Hemifield Analysis in Perimetry
Asman and Heijl
Arch Ophthalmol 1992;110:820-826.
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Response Properties of Normal Observers and Patients During Automated Perimetry
Nelson-Quigg et al.
Arch Ophthalmol 1989;107:1612-1615.
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A Clinical Study of Perimetric Probability Maps
Heijl and Asman
Arch Ophthalmol 1989;107:199-203.
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The Effect of Perimetric Experience in Normal Subjects
Heijl et al.
Arch Ophthalmol 1989;107:81-86.
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Perimetric Threshold Variability and Age-Reply
Sommer and Katz
Arch Ophthalmol 1988;106:451-452.
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Perimetric Threshold Variability and Age
Heijl et al.
Arch Ophthalmol 1988;106:450-451.
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