about
Confocal scanning laser ophthalmoscopy classifiers and stereophotograph evaluation for prediction of visual field abnormalities in glaucoma-suspect eyes.Relevance vector machine and support vector machine classifier analysis of scanning laser polarimetry retinal nerve fiber layer measurements.Use of progressive glaucomatous optic disk change as the reference standard for evaluation of diagnostic tests in glaucoma.Using unsupervised learning with independent component analysis to identify patterns of glaucomatous visual field defectsRelationship between patterns of visual field loss and retinal nerve fiber layer thickness measurements.Influence of disease severity and optic disc size on the diagnostic performance of imaging instruments in glaucoma.Retinal nerve fiber layer analysis in the diagnosis of glaucoma.Agreement and repeatability for standard automated perimetry and confocal scanning laser ophthalmoscopy in the diagnostic innovations in glaucoma study.Baseline optical coherence tomography predicts the development of glaucomatous change in glaucoma suspects.The effect of atypical birefringence patterns on glaucoma detection using scanning laser polarimetry with variable corneal compensation.Retinotopic organization of primary visual cortex in glaucoma: a method for comparing cortical function with damage to the optic disk.Retinal nerve fiber layer thickness and visual sensitivity using scanning laser polarimetry with variable and enhanced corneal compensation.Intereye spatial relationship of abnormal neuroretinal rim locations in glaucoma patients from the diagnostic innovations in glaucoma study.Agreement between stereophotographic and confocal scanning laser ophthalmoscopy measurements of cup/disc ratio: effect on a predictive model for glaucoma development.American Chinese glaucoma imaging study: a comparison of the optic disc and retinal nerve fiber layer in detecting glaucomatous damage.Detection of glaucoma using scanning laser polarimetry with enhanced corneal compensation.Bayesian machine learning classifiers for combining structural and functional measurements to classify healthy and glaucomatous eyes.Comparison of HRT-3 glaucoma probability score and subjective stereophotograph assessment for prediction of progression in glaucoma.Effect of improper scan alignment on retinal nerve fiber layer thickness measurements using Stratus optical coherence tomographPerformance of confocal scanning laser tomograph Topographic Change Analysis (TCA) for assessing glaucomatous progression.Detection of progressive retinal nerve fiber layer loss in glaucoma using scanning laser polarimetry with variable corneal compensationCorrelation among choroidal, parapapillary, and retrobulbar vascular parameters in glaucoma.Reproducibility of RTVue retinal nerve fiber layer thickness and optic disc measurements and agreement with Stratus optical coherence tomography measurements.A framework for detecting glaucomatous progression in the optic nerve head of an eye using proper orthogonal decompositionClinical evaluation of the proper orthogonal decomposition framework for detecting glaucomatous changes in human subjects.The African Descent and Glaucoma Evaluation Study (ADAGES): design and baseline data.Detection of glaucoma progression with stratus OCT retinal nerve fiber layer, optic nerve head, and macular thickness measurements.Agreement for detecting glaucoma progression with the GDx guided progression analysis, automated perimetry, and optic disc photography.A comparison of rates of change in neuroretinal rim area and retinal nerve fiber layer thickness in progressive glaucoma.African Descent and Glaucoma Evaluation Study (ADAGES): II. Ancestry differences in optic disc, retinal nerve fiber layer, and macular structure in healthy subjects.Determinants of agreement between the confocal scanning laser tomograph and standardized assessment of glaucomatous progression.African Descent and Glaucoma Evaluation Study (ADAGES): III. Ancestry differences in visual function in healthy eyes.Heidelberg retina tomograph measurements of the optic disc and parapapillary retina for detecting glaucoma analyzed by machine learning classifiersGlaucomatous patterns in Frequency Doubling Technology (FDT) perimetry data identified by unsupervised machine learning classifiersAgreement between Heidelberg Retina Tomograph-I and -II in detecting glaucomatous changes using topographic change analysis.Pattern electroretinogram association with spectral domain-OCT structural measurements in glaucomaAgreement between spectral-domain and time-domain OCT for measuring RNFL thickness.The structure and function relationship in glaucoma: implications for detection of progression and measurement of rates of change.Machine learning classifiers in glaucoma.Effect of image quality on tissue thickness measurements obtained with spectral domain-optical coherence tomography.
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P50
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