Recent developments in visual field testing for glaucoma
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[1] Comparing the Performance of Compass Perimetry With Humphrey Field Analyzer in Eyes With Glaucoma , 2017, Journal of glaucoma.
[2] J. Piltz,et al. Test-retest variability in glaucomatous visual fields. , 1990, American journal of ophthalmology.
[3] B Becker,et al. Peripheral nasal field defects. , 1971, American journal of ophthalmology.
[4] Stuart K. Gardiner,et al. The Effect of Limiting the Range of Perimetric Sensitivities on Pointwise Assessment of Visual Field Progression in Glaucoma , 2016, Investigative ophthalmology & visual science.
[5] Do Intense Perimetric Stimuli Saturate the Healthy Visual System? , 2016, Investigative ophthalmology & visual science.
[6] K. Hirooka,et al. Correlation between the ganglion cell-inner plexiform layer thickness measured with cirrus HD-OCT and macular visual field sensitivity measured with microperimetry. , 2013, Investigative ophthalmology & visual science.
[7] Grace L Tsan,et al. Prevalence, Features, and Severity of Glaucomatous Visual Field Loss Measured With the 10-2 Achromatic Threshold Visual Field Test. , 2016, American journal of ophthalmology.
[8] Şerife Seda Kucur,et al. Spatial Entropy Pursuit for Fast and Accurate Perimetry Testing. , 2017, Investigative ophthalmology & visual science.
[9] Chris A Johnson,et al. Performance of an iPad Application to Detect Moderate and Advanced Visual Field Loss in Nepal. , 2017, American journal of ophthalmology.
[10] D. Hood,et al. 24-2 Visual Fields Miss Central Defects Shown on 10-2 Tests in Glaucoma Suspects, Ocular Hypertensives, and Early Glaucoma. , 2017, Ophthalmology.
[11] Alberto Diniz-Filho,et al. Frequency of Testing to Detect Visual Field Progression Derived Using a Longitudinal Cohort of Glaucoma Patients. , 2017, Ophthalmology.
[12] A. Tsujikawa,et al. Comparison of Macular Integrity Assessment (MAIA ™), MP-3, and the Humphrey Field Analyzer in the Evaluation of the Relationship between the Structure and Function of the Macula , 2016, PloS one.
[13] Alberto Diniz-Filho,et al. The Impact of Location of Progressive Visual Field Loss on Longitudinal Changes in Quality of Life of Patients with Glaucoma. , 2016, Ophthalmology.
[14] Andrew Turpin,et al. Incorporating Spatial Models in Visual Field Test Procedures , 2016, Translational vision science & technology.
[15] S. Mansberger,et al. Effect of Restricting Perimetry Testing Algorithms to Reliable Sensitivities on Test-Retest Variability , 2016, Investigative ophthalmology & visual science.
[16] Andrew J Anderson. Significant Glaucomatous Visual Field Progression in the First Two Years: What Does It Mean? , 2016, Translational vision science & technology.
[17] S. Gardiner,et al. Detecting Change Using Standard Global Perimetric Indices in Glaucoma. , 2017, American journal of ophthalmology.
[18] Andrew Turpin,et al. Customized, automated stimulus location choice for assessment of visual field defects. , 2014, Investigative ophthalmology & visual science.
[19] Richard A. Russell,et al. Detecting Changes in Retinal Function: Analysis with Non-Stationary Weibull Error Regression and Spatial Enhancement (ANSWERS) , 2014, PloS one.
[20] M. Smolek,et al. Compass: Clinical Evaluation of a New Instrument for the Diagnosis of Glaucoma , 2015, PloS one.
[21] H. Rao,et al. Role of visual field reliability indices in ruling out glaucoma. , 2015, JAMA ophthalmology.
[22] Jonathan Denniss,et al. Towards Patient-Tailored Perimetry: Automated Perimetry Can Be Improved by Seeding Procedures With Patient-Specific Structural Information. , 2013, Translational vision science & technology.
[23] Christopher Bowd,et al. Detecting glaucomatous change in visual fields: Analysis with an optimization framework , 2015, J. Biomed. Informatics.
[24] T. Jung,et al. Detecting Glaucoma With a Portable Brain-Computer Interface for Objective Assessment of Visual Function Loss , 2017, JAMA ophthalmology.
[25] Stuart K. Gardiner,et al. Detection of Functional Change Using Cluster Trend Analysis in Glaucoma , 2017, Investigative ophthalmology & visual science.
[26] B C Chauhan,et al. Test-retest variability of frequency-doubling perimetry and conventional perimetry in glaucoma patients and normal subjects. , 1999, Investigative ophthalmology & visual science.
[27] Hiroshi Murata,et al. An objective evaluation of gaze tracking in Humphrey perimetry and the relation with the reproducibility of visual fields: a pilot study in glaucoma. , 2014, Investigative ophthalmology & visual science.
[28] Andrew Turpin,et al. Assessing the GOANNA Visual Field Algorithm Using Artificial Scotoma Generation on Human Observers , 2016, Translational vision science & technology.
[29] Michael V. Boland,et al. Evidence-based Criteria for Assessment of Visual Field Reliability. , 2017, Ophthalmology.
[30] Christopher Bowd,et al. Unsupervised Gaussian Mixture-Model With Expectation Maximization for Detecting Glaucomatous Progression in Standard Automated Perimetry Visual Fields , 2016, Translational vision science & technology.
[31] Stuart K Gardiner,et al. Effect of a variability-adjusted algorithm on the efficiency of perimetric testing. , 2014, Investigative ophthalmology & visual science.
[32] J Caprioli,et al. Static threshold examination of the peripheral nasal visual field in glaucoma. , 1985, Archives of ophthalmology.
[33] Tien Yin Wong,et al. The Effect of Testing Reliability on Visual Field Sensitivity in Normal Eyes: The Singapore Chinese Eye Study. , 2018, Ophthalmology.
[34] W. Swanson,et al. Assessment of the reliability of standard automated perimetry in regions of glaucomatous damage. , 2014, Ophthalmology.
[35] Yu Xiang George Kong,et al. Can Home Monitoring Allow Earlier Detection of Rapid Visual Field Progression in Glaucoma? , 2017, Ophthalmology.
[36] Ted Maddess,et al. The influence of sampling errors on test-retest variability in perimetry. , 2011, Investigative Ophthalmology and Visual Science.
[37] Michael V. Boland,et al. Evaluation of Central and Peripheral Visual Field Concordance in Glaucoma , 2016, Investigative ophthalmology & visual science.
[38] Jean-Claude Mwanza,et al. A Statistical Model to Analyze Clinician Expert Consensus on Glaucoma Progression using Spatially Correlated Visual Field Data , 2016, Translational vision science & technology.
[39] Donald C. Hood,et al. Glaucomatous damage of the macula , 2013, Progress in Retinal and Eye Research.
[40] Hiroshi Murata,et al. The Usefulness of Gaze Tracking as an Index of Visual Field Reliability in Glaucoma Patients. , 2015, Investigative ophthalmology & visual science.
[41] Michael Waisbourd,et al. The Impact of Visual Field Clusters on Performance-based Measures and Vision-Related Quality of Life in Patients With Glaucoma. , 2016, American journal of ophthalmology.
[42] Alberto Diniz-Filho,et al. Association Between Neurocognitive Decline and Visual Field Variability in Glaucoma , 2017, JAMA ophthalmology.
[43] Jonathan Denniss,et al. A Perimetric Test Procedure That Uses Structural Information , 2015, Optometry and vision science : official publication of the American Academy of Optometry.
[44] Y. Kong,et al. A Comparison of Perimetric Results from a Tablet Perimeter and Humphrey Field Analyzer in Glaucoma Patients , 2016, Translational vision science & technology.
[45] Lola M. Grillo,et al. The 24-2 Visual Field Test Misses Central Macular Damage Confirmed by the 10-2 Visual Field Test and Optical Coherence Tomography , 2016, Translational vision science & technology.
[46] J. Craig,et al. Anxiety in visual field testing , 2015, British Journal of Ophthalmology.
[47] H. Rao,et al. Comparing the Structure-Function Relationship at the Macula With Standard Automated Perimetry and Microperimetry. , 2015, Investigative ophthalmology & visual science.
[48] P. Artes,et al. Reclaiming the Periphery: Automated Kinetic Perimetry for Measuring Peripheral Visual Fields in Patients With Glaucoma. , 2017, Investigative ophthalmology & visual science.
[49] Eugene A. Lowry,et al. Comparison of Peristat Online Perimetry with the Humphrey Perimetry in a Clinic-Based Setting , 2016, Translational vision science & technology.
[50] Haogang Zhu,et al. More Accurate Modeling of Visual Field Progression in Glaucoma: ANSWERS. , 2015, Investigative ophthalmology & visual science.
[51] J. Crowston,et al. Test-Retest Variability of Fundus-Tracked Perimetry at the Peripapillary Region in Open Angle Glaucoma. , 2016, Investigative ophthalmology & visual science.
[52] H. Shin,et al. Clinical Clues to Predict the Presence of Parafoveal Scotoma on Humphrey 10-2 Visual Field Using a Humphrey 24-2 Visual Field. , 2016, American journal of ophthalmology.
[53] D. Hood,et al. Association Between Undetected 10-2 Visual Field Damage and Vision-Related Quality of Life in Patients With Glaucoma , 2017, JAMA ophthalmology.
[54] F. Medeiros,et al. What rates of glaucoma progression are clinically significant? , 2016, Expert review of ophthalmology.
[55] Hiroshi Murata,et al. Investigating the usefulness of a cluster-based trend analysis to detect visual field progression in patients with open-angle glaucoma , 2017, British Journal of Ophthalmology.