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Evaluating the Usefulness of MP-3 Microperimetry in Glaucoma Patients

American journal of ophthalmology, 2018-03, Vol.187, p.1-9

2018

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A history of perimetry and visual field testing

Optometry and vision science, 2011-01, Vol.88 (1), p.E8-E15

2011

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Digital quantification of Goldmann visual fields (GVFs) as a means for genotype-phenotype comparisons and detection of progression in retinal degenerations

Advances in experimental medicine and biology, 2014, Vol.801, p.131

2014

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Visual Fields via the Visual Pathway

Rowe, Fiona

2, 2016

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24-2 Visual Fields Miss Central Defects Shown on 10-2 Tests in Glaucoma Suspects, Ocular Hypertensives, and Early Glaucoma

Ophthalmology (Rochester, Minn.), 2017-10, Vol.124 (10), p.1449-1456

2017

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Forecasting future Humphrey Visual Fields using deep learning

PloS one, 2019-04, Vol.14 (4), p.e0214875-e0214875

2019

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Visual Field Prediction using Recurrent Neural Network

Scientific reports, 2019-06, Vol.9 (1), p.8385-8385, Article 8385

2019

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Predicting eyes at risk for rapid glaucoma progression based on an initial visual field test using machine learning

PloS one, 2021-04, Vol.16 (4), p.e0249856-e0249856

2021

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Visual Field Testing with Head-Mounted Perimeter 'imo'

PloS one, 2016-08, Vol.11 (8), p.e0161974-e0161974

2016

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A Novel Visual Field Screening Program for Glaucoma With a Head-Mounted Perimeter

Journal of glaucoma, 2023-06, Vol.32 (6), p.520-525

2023

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The use of microperimetry in assessing visual function in age-related macular degeneration

Survey of ophthalmology, 2018-01, Vol.63 (1), p.40-55

2018

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Implementing and Monitoring At-Home Virtual Reality Oculo-kinetic Perimetry During COVID-19

Ophthalmology (Rochester, Minn.), 2020-09, Vol.127 (9), p.1258-1258

2020

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Visual Sensitivity Loss in Geographic Atrophy: Structure-Function Evaluation Using Defect-Mapping Microperimetry

Investigative ophthalmology & visual science, 2024-01, Vol.65 (1), p.36-36

2024

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Visual field progression in glaucoma: what is the specificity of the Guided Progression Analysis?

Ophthalmology (Rochester, Minn.), 2014-10, Vol.121 (10), p.2023-2027

2014

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Objective detection of visual field defects with multifrequency VEPs

Documenta ophthalmologica, 2024-02, Vol.148 (1), p.15-24

2024

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The Impacts of Face Mask Use on Standard Automated Perimetry Results in Glaucoma Patients

Journal of glaucoma, 2021-04, Vol.30 (4), p.287-292

2021

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Study of Optimal Perimetric Testing In Children (OPTIC): Normative Visual Field Values in Children

Ophthalmology (Rochester, Minn.), 2015-08, Vol.122 (8), p.1711-1717

2015

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Oximetry in glaucoma: correlation of metabolic change with structural and functional damage

Acta ophthalmologica (Oxford, England), 2014-03, Vol.92 (2), p.105-110

2014

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Modified visual field test for ptosis surgery (Leicester Peripheral Field Test)

Eye (London), 2011-03, Vol.25 (3), p.365-369

2011

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Comparison of Short- And Long-Term Variability in Standard Perimetry and Spectral Domain Optical Coherence Tomography in Glaucoma

American journal of ophthalmology, 2020-02, Vol.210, p.19-25

2020

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Comparison of Visual Field Defects Using Matrix Perimetry and Standard Achromatic Perimetry

Ophthalmology (Rochester, MN), 2007-03, Vol.114 (3), p.480-487

2007

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Macular sector‐wise decision tree model for the prediction of parafoveal scotoma not detected by 24‐2 visual field test

Clinical & experimental ophthalmology, 2022-07, Vol.50 (5), p.510-521

2022

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Effective Dynamic Range and Retest Reliability of Dark-Adapted Two-Color Fundus-Controlled Perimetry in Patients With Macular Diseases

Investigative ophthalmology & visual science, 2017-05, Vol.58 (6), p.BIO158-BIO167

2017

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The usefulness of the Deep Learning method of variational autoencoder to reduce measurement noise in glaucomatous visual fields

Scientific reports, 2020-05, Vol.10 (1), p.7893-7893, Article 7893

2020

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Reclaiming the Periphery: Automated Kinetic Perimetry for Measuring Peripheral Visual Fields in Patients With Glaucoma

Investigative ophthalmology & visual science, 2017-02, Vol.58 (2), p.868-875

2017

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Evaluating the Usefulness of MP-3 Microperimetry in Glaucoma Patients

A history of perimetry and visual field testing

Digital quantification of Goldmann visual fields (GVFs) as a means for genotype-phenotype comparisons and detection of progression in retinal degenerations

Visual Fields via the Visual Pathway

24-2 Visual Fields Miss Central Defects Shown on 10-2 Tests in Glaucoma Suspects, Ocular Hypertensives, and Early Glaucoma

Forecasting future Humphrey Visual Fields using deep learning

Visual Field Prediction using Recurrent Neural Network

Predicting eyes at risk for rapid glaucoma progression based on an initial visual field test using machine learning

Visual Field Testing with Head-Mounted Perimeter 'imo'

A Novel Visual Field Screening Program for Glaucoma With a Head-Mounted Perimeter

The use of microperimetry in assessing visual function in age-related macular degeneration

Implementing and Monitoring At-Home Virtual Reality Oculo-kinetic Perimetry During COVID-19

Visual Sensitivity Loss in Geographic Atrophy: Structure-Function Evaluation Using Defect-Mapping Microperimetry

Visual field progression in glaucoma: what is the specificity of the Guided Progression Analysis?

Objective detection of visual field defects with multifrequency VEPs

The Impacts of Face Mask Use on Standard Automated Perimetry Results in Glaucoma Patients

Study of Optimal Perimetric Testing In Children (OPTIC): Normative Visual Field Values in Children

Oximetry in glaucoma: correlation of metabolic change with structural and functional damage

Modified visual field test for ptosis surgery (Leicester Peripheral Field Test)

Comparison of Short- And Long-Term Variability in Standard Perimetry and Spectral Domain Optical Coherence Tomography in Glaucoma

Comparison of Visual Field Defects Using Matrix Perimetry and Standard Achromatic Perimetry

Macular sector‐wise decision tree model for the prediction of parafoveal scotoma not detected by 24‐2 visual field test

Effective Dynamic Range and Retest Reliability of Dark-Adapted Two-Color Fundus-Controlled Perimetry in Patients With Macular Diseases

The usefulness of the Deep Learning method of variational autoencoder to reduce measurement noise in glaucomatous visual fields

Reclaiming the Periphery: Automated Kinetic Perimetry for Measuring Peripheral Visual Fields in Patients With Glaucoma

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