Spatial and temporal processing of threshold data for detection of progressive glaucomatous visual field loss.

No abstract is available for this paper.

• Publication year

  2002

• Venue

  A M A Archives of Ophthalmology

• Publication date

  2002-02-01

• Fields of study

  Medicine

• Identifiers
  DOI 10.1001/ARCHOPHT.120.2.173PMID 11831919
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Variability components of standard automated perimetry and frequency-doubling technology perimetry.

  2001cited by this paper
• Late Dislocation of a LASIK Flap Caused by a Fingernail

  2001cited by this paper
• Response variability in the visual field: comparison of optic neuritis, glaucoma, ocular hypertension, and normal eyes.

  2000cited by this paper
• Simulation of longitudinal threshold visual field data.

  2000cited by this paper
• The Collaborative Initial Glaucoma Treatment Study: study design, methods, and baseline characteristics of enrolled patients.

  1999cited by this paper
• Early Manifest Glaucoma Trial: design and baseline data.

  1999cited by this paper
• Scoring systems for measuring progression of visual field loss in clinical trials of glaucoma treatment.

  1999cited by this paper
• How often do patients need visual field tests?

  1997cited by this paper
• Pointwise univariate linear regression of perimetric sensitivity against follow-up time in glaucoma.

  1997cited by this paper
• Early detection of visual field progression in glaucoma: a comparison of progressor and statpac 2

  1997cited by this paper
• Improving the prediction of visual field progression in glaucoma using spatial processing.

  1997cited by this paper
• Predicting long-term visual field outcome in progressive glaucoma using different lengths of field series

  1996cited by this paper
• Analysis of visual field progression in glaucoma.

  1996cited by this paper
• New approach to estimating variability in visual field data using an image processing technique.

  1995cited by this paper
• Image processing of computerised visual field data.

  1995cited by this paper
• Determining progressive visual field loss in serial Humphrey visual fields.

  1995cited by this paper
• The Image Processing Handbook

  1994cited by this paper
• Advanced Glaucoma Intervention Study. 2. Visual field test scoring and reliability.

  1994cited by this paper
• Evaluation of the Humphrey FASTPAC threshold program in glaucoma.

  1994cited by this paper
• Characteristics of frequency-of-seeing curves in normal subjects, patients with suspected glaucoma, and patients with glaucoma.

  1993cited by this paper
• Evaluation of FASTPAC, a new strategy for threshold estimation with the Humphrey Field Analyzer, in a glaucomatous population.

  1993cited by this paper
• Properties of staircase procedures for estimating thresholds in automated perimetry.

  1992cited by this paper
• The properties of perimetric thresholds in normal and glaucomatous eyes.

  1992cited by this paper
• Comparison of analytic algorithms for detecting glaucomatous visual field loss.

  1991cited by this paper
• The use of visual field indices in detecting changes in the visual field in glaucoma.

  1990cited by this paper
• Normal variability of static perimetric threshold values across the central visual field.

  1987cited by this paper
• Differential light threshold. Short- and long-term fluctuation in patients with glaucoma, normal controls, and patients with suspected glaucoma.

  1984cited by this paper

• A Bayesian Hierarchical Longitudinal Model for Estimation of Central Visual Field Rates of Change in Glaucoma

  2025cites this paper
• [Static automated perimetry in the diagnosis of glaucoma. Assessment of disease progression].

  2023cites this paper
• The 24-2 visual field Guided Progression Analysis can miss progression of glaucomatous damage of the macula seen with OCT.

  2022cites this paper
• The Usefulness of Assessing Glaucoma Progression With Postprocessed Visual Field Data

  2022cites this paper
• Optic Nerve Lipidomics Reveal Impaired Glucosylsphingosine Lipids Pathway in Glaucoma

  2019cites this paper
• Detection and measurement of clinically meaningful visual field progression in clinical trials for glaucoma

  2017cites this paper
• Optimizing structure-function relationship by maximizing correspondence between glaucomatous visual fields and mathematical retinal nerve fiber models.

  2014cites this paper
• Reducing variability in visual field assessment for glaucoma through filtering that combines structural and functional information.

  2014cites this paper
• Spatial modeling of visual field data for assessing glaucoma progression.

  2013cites this paper
• Learning Effect and Test-Retest Variability of Pulsar Perimetry

  2013cites this paper
• Improved Prediction of Rates of Visual Field Loss in Glaucoma Using Empirical Bayes Estimates of Slopes of Change

  2012cites this paper
• Pointwise rates of visual field progression cluster according to retinal nerve fiber layer bundles.

  2012cites this paper
• Perimetric Indices as Predictors of Future Glaucomatous Functional Change

  2011cites this paper
• What reduction in standard automated perimetry variability would improve the detection of visual field progression?

  2011cites this paper
• Pulsar perimetry in the diagnosis of early glaucoma.

  2010cites this paper
• Agreement of visual field interpretation among glaucoma specialists and comprehensive ophthalmologists: comparison of time and methods

  2010cites this paper
• Knowledge Mining In The Clinical Assessment Of Glaucoma

  2010cites this paper
• Linear Regression Analysis of the Cumulative Defect Curve by Sectors and Other Criteria of Glaucomatous Visual Field Progression

  2009cites this paper
• Monitoring glaucomatous visual field progression: the effect of a novel spatial filter.

  2007cites this paper
• Modeling the sensitivity to variability relationship in perimetry.

  2006cites this paper
• Repeatability of Normal Multifocal VEP: Implications for Detecting Progression

  2006cites this paper
• Structure and function in glaucoma: The relationship between a functional visual field map and an anatomic retinal map.

  2006cites this paper
• Pointwise linear regression for evaluation of visual field outcomes and comparison with the advanced glaucoma intervention study methods.

  2005cites this paper
• Reducing noise in suspected glaucomatous visual fields by using a new spatial filter.

  2004cites this paper
• Spatial resolution of the tendency-oriented perimetry algorithm.

  2003cites this paper
• Comparison of different methods for detecting glaucomatous visual field progression.

  2003cites this paper
• Identification of progressive glaucomatous visual field loss.

  2002cites this paper