Search Results - "Felipe Medeiros"
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The Pathophysiology and Treatment of Glaucoma: A Review
Published in JAMA : the journal of the American Medical Association (14-05-2014)“…IMPORTANCE Glaucoma is a worldwide leading cause of irreversible vision loss. Because it may be asymptomatic until a relatively late stage, diagnosis is…”
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Detecting Structural Progression in Glaucoma with Optical Coherence Tomography
Published in Ophthalmology (Rochester, Minn.) (01-12-2017)“…Optical coherence tomography (OCT) is increasingly used to obtain objective measurements of the retinal nerve fiber layer (RNFL), optic nerve head, and macula…”
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3
From Machine to Machine: An OCT-Trained Deep Learning Algorithm for Objective Quantification of Glaucomatous Damage in Fundus Photographs
Published in Ophthalmology (Rochester, Minn.) (01-04-2019)“…Previous approaches using deep learning (DL) algorithms to classify glaucomatous damage on fundus photographs have been limited by the requirement for human…”
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Relationship between Optical Coherence Tomography Angiography Vessel Density and Severity of Visual Field Loss in Glaucoma
Published in Ophthalmology (Rochester, Minn.) (01-12-2016)“…Purpose To evaluate the association between vessel density measurements using optical coherence tomography angiography (OCT-A) and severity of visual field…”
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Severe Glaucoma Associated With Changes in Gait Over Time
Published in JAMA ophthalmology (01-10-2021)Get more information
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Deep Retinal Layer Microvasculature Dropout Detected by the Optical Coherence Tomography Angiography in Glaucoma
Published in Ophthalmology (Rochester, Minn.) (01-12-2016)“…Purpose To investigate factors associated with dropout of the parapapillary deep retinal layer microvasculature assessed by optical coherence tomography…”
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Detection of Progressive Glaucomatous Optic Nerve Damage on Fundus Photographs with Deep Learning
Published in Ophthalmology (Rochester, Minn.) (01-03-2021)“…To investigate whether predictions of retinal nerve fiber layer (RNFL) thickness obtained from a deep learning model applied to fundus photographs can detect…”
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24-2 Visual Fields Miss Central Defects Shown on 10-2 Tests in Glaucoma Suspects, Ocular Hypertensives, and Early Glaucoma
Published in Ophthalmology (Rochester, Minn.) (01-10-2017)“…Purpose To investigate the prevalence of visual field defects in glaucomatous eyes, glaucoma suspects, and ocular hypertensives with 24-2 and 10-2 visual…”
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Biomarkers and surrogate endpoints in glaucoma clinical trials
Published in British journal of ophthalmology (01-05-2015)“…Surrogate endpoints are often used as replacements for true clinically relevant endpoints in several areas of medicine, as they enable faster and less…”
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Estimating Optical Coherence Tomography Structural Measurement Floors to Improve Detection of Progression in Advanced Glaucoma
Published in American journal of ophthalmology (01-03-2017)“…“Floor effects” in retinal imaging are defined as the points at which no further structural loss can be detected. We estimated the measurement floors for…”
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Biomarkers and Surrogate Endpoints: Lessons Learned From Glaucoma
Published in Investigative ophthalmology & visual science (01-05-2017)“…With the recent progress in imaging technologies for assessment of structural damage in glaucoma, a debate has emerged on whether these measurements can be…”
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Recent developments in visual field testing for glaucoma
Published in Current opinion in ophthalmology (01-03-2018)“…PURPOSE OF REVIEWVisual field testing remains one of the most important tools for characterizing and monitoring vision loss in glaucoma. Despite its current…”
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Optical Coherence Tomography Angiography Vessel Density in Healthy, Glaucoma Suspect, and Glaucoma Eyes
Published in Investigative ophthalmology & visual science (01-07-2016)“…The purpose of this study was to compare retinal nerve fiber layer (RNFL) thickness and optical coherence tomography angiography (OCT-A) retinal vasculature…”
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Optical Coherence Tomography Angiography Vessel Density in Glaucomatous Eyes with Focal Lamina Cribrosa Defects
Published in Ophthalmology (Rochester, Minn.) (01-11-2016)“…Purpose To investigate whether vessel density assessed by optical coherence tomography angiography (OCT-A) is reduced in glaucomatous eyes with focal lamina…”
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15
A Deep Learning Algorithm to Quantify Neuroretinal Rim Loss From Optic Disc Photographs
Published in American journal of ophthalmology (01-05-2019)“…To train a deep learning (DL) algorithm that quantifies glaucomatous neuroretinal damage on fundus photographs using the minimum rim width relative to Bruch…”
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Corneal Hysteresis as a Risk Factor for Glaucoma Progression: A Prospective Longitudinal Study
Published in Ophthalmology (Rochester, Minn.) (01-08-2013)“…Purpose To evaluate the role of corneal hysteresis (CH) as a risk factor for the rate of visual field progression in a cohort of patients with glaucoma…”
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Socioeconomic Disparities in Glaucoma Severity at Initial Diagnosis: A Nationwide Electronic Health Record Cohort Analysis
Published in American journal of ophthalmology (01-07-2024)“…To assess disparities in initial disease severity among open-angle glaucoma (OAG) patients. Cross-sectional study. In this analysis of Epic Cosmos, an…”
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Peripapillary and Macular Vessel Density in Patients with Glaucoma and Single-Hemifield Visual Field Defect
Published in Ophthalmology (Rochester, Minn.) (01-05-2017)“…Purpose To compare hemifield differences in the vessel density of the peripapillary and macula in open-angle glaucoma eyes with visual field (VF) defect…”
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Estimating Lead Time Gained by Optical Coherence Tomography in Detecting Glaucoma before Development of Visual Field Defects
Published in Ophthalmology (Rochester, Minn.) (01-10-2015)“…Purpose To estimate the diagnostic accuracy and lead time gained by retinal nerve fiber layer (RNFL) thickness measurements from optical coherence tomography…”
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Estimating Rates of Progression and Predicting Future Visual Fields in Glaucoma Using a Deep Variational Autoencoder
Published in Scientific reports (02-12-2019)“…In this manuscript we develop a deep learning algorithm to improve estimation of rates of progression and prediction of future patterns of visual field loss in…”
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