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ARVO Annual Meeting Abstract June 2021

Extended duration of IOP lowering with bimatoprost implant in a phase 3 open-label extension study

Felipe A Medeiros; Saumya Nagar; Marina Bejanian; Michael R Robinson; David L Wirta

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2778. doi:

ARVO Annual Meeting Abstract June 2021

Discriminating between healthy and glaucomatous eyes using a Bayesian macular deviation map

Youngsoo Baek; Samuel Berchuck; Alessandro A Jammal; Sayan Mukherjee; Felipe A Medeiros

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1026. doi:

ARVO Annual Meeting Abstract June 2021

Longitudinal Changes in the Central Visual Field and Risk of Visual Acuity Loss in Glaucoma

Tais Estrela; Alessandro A Jammal; Eduardo Bicalho Mariottoni; Leonardo Shigueoka; Felipe A Medeiros

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):632. doi:

ARVO Annual Meeting Abstract June 2021

Intraocular Pressure and Rates of Macular Thickness Thinning in Subjects with Glaucoma

Abia Ahmed; Alessandro A Jammal; Samuel Berchuck; Felipe A Medeiros

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1867. doi:

ARVO Annual Meeting Abstract June 2021

Social History and Glaucoma Progression: The Effect of Obesity, Tobacco, and Alcohol Consumption on the Rates of Structural Change in Patients with Glaucoma

Alessandro A Jammal; Eduardo Bicalho Mariottoni; Leonardo Shigueoka; Felipe A Medeiros

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1623. doi:

ARVO Annual Meeting Abstract June 2021

Rapid initial OCT RNFL thinning is predictive of large visual field loss during extended follow-up in glaucoma

Swarup Sai Swaminathan; Alessandro A Jammal; Samuel Berchuck; Felipe A Medeiros

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1856. doi:

ARVO Annual Meeting Abstract June 2021

Identifying risk factors for blindness from glaucoma at first presentation to a tertiary clinic

Samuel Berchuck; Sydney Hunt; Alyssa Shi; Geetika Singh; Alessandro A Jammal; Felipe A Medeiros

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1588. doi:

Glaucoma April 2021

Racial Differences in the Rate of Change in Anterior Lamina Cribrosa Surface Depth in the African Descent and Glaucoma Evaluation Study

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Christopher A. Girkin; Akram Belghith; Christopher Bowd; Felipe A. Medeiros; Robert N. Weinreb; Jeffrey M. Liebmann; James A. Proudfoot; Linda M. Zangwill; Massimo A. Fazio
TAGS: cribriform plate, glaucoma, optic disk, racial differences
Invest. Ophthalmol. Vis. Sci.. 2021; 62(4):12. doi: https://doi.org/10.1167/iovs.62.4.12

Includes: Supplemental Content

Articles January 2021

Predicting Age From Optical Coherence Tomography Scans With Deep Learning

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Leonardo S. Shigueoka; Eduardo B. Mariottoni; Atalie C. Thompson; Alessandro A. Jammal; Vital P. Costa; Felipe A. Medeiros
TAGS: deep learning, optical coherence tomography, spectral domain-optical coherence tomography, retinal nerve fiber layer, aging
Trans. Vis. Sci. Tech.. 2021; 10(1):12. doi: https://doi.org/10.1167/tvst.10.1.12

Glaucoma November 2020

The Effect of Age on Increasing Susceptibility to Retinal Nerve Fiber Layer Loss in Glaucoma

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Alessandro A. Jammal; Samuel I. Berchuck; Atalie C. Thompson; Vital P. Costa; Felipe A. Medeiros

Invest. Ophthalmol. Vis. Sci.. 2020; 61(13):8. doi: https://doi.org/10.1167/iovs.61.13.8

Includes: Supplemental Content

ARVO Imaging in the Eye Conference Abstract July 2020

Clustering Spectral-Domain Optical Coherence Tomography Images using a Deep Variational Auto-encoder

Eduardo Mariottoni; Samuel I Berchuck; Felipe Medeiros

Invest. Ophthalmol. Vis. Sci.. 2020; 61(9):PB00145. doi:

Special Issue July 2020

A Review of Deep Learning for Screening, Diagnosis, and Detection of Glaucoma Progression

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Atalie C. Thompson; Alessandro A. Jammal; Felipe A. Medeiros
TAGS: deep learning, glaucoma, screening
Trans. Vis. Sci. Tech.. 2020; 9(2):42. doi: https://doi.org/10.1167/tvst.9.2.42

ARVO Annual Meeting Abstract June 2020

A Deep Learning-Based Mapping of Structure to Function in Glaucoma

Eduardo Bicalho Mariottoni; Shounak Datta; David Dov; Alessandro Adad Jammal; Samuel Berchuck; Ivan Tavares; Lawrence Carin; Felipe Medeiros

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):3213. doi:

ARVO Annual Meeting Abstract June 2020

Visual Crowding in Glaucoma: Structural and Functional Relationships

James Stringham; Alessandro A Jammal; Eduardo Bicalho Mariottoni; Tais Estrela; Carla Urata; Leonardo Shigueoka; Nara Ogata; Henry Tseng; Felipe Medeiros

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):3214. doi:

ARVO Annual Meeting Abstract June 2020

Comparison of the performance of a Machine-to-Machine (M2M) deep learning algorithm versus human graders for glaucoma screening in teleretinal fundus images

Delaram Mirzania; Atalie C Thompson; Eduardo Mariottoni; Leonardo Shigueoka; Kelly Muir; Felipe Medeiros

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4545. doi:

ARVO Annual Meeting Abstract June 2020

The relationship between concomitant mental health disorders and disease severity among glaucoma patients

Samuel Berchuck; Alessandro A Jammal; Eduardo Bicalho Mariottoni; Sayan Mukherjee; Felipe A Medeiros

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1994. doi:

ARVO Annual Meeting Abstract June 2020

Effect of diabetes control on rates of visual field loss in patients with glaucoma.

Nicholas Johnson; Alessandro Adad Jammal; Felipe A Medeiros; Leonardo Shigueoka; Eduardo Mariottoni

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):3891. doi:

ARVO Annual Meeting Abstract June 2020

Predicting Rates of RNFL Loss from Analysis of Deep Optic Nerve Head Images

Manav Mayank Vakil; Eduardo Bicalho Mariottoni; Felipe A Medeiros

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4535. doi:

ARVO Annual Meeting Abstract June 2020

From Machine to the Real World: Assessing the Accuracy of a Machine-to-Machine (M2M) Deep Learning Model to Detect Glaucoma during a Population-Based Screening Effort in Brazil

Tais Estrela; Eduardo Bicalho Mariottoni; Tabatta Graciolli; Nubia Chouchounova; Nara Ogata; Mariana Siqueira; Carla Urata; Leonardo Shigueoka; Alessandro A Jammal; Atalie C. Thompson; Felipe A Medeiros

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4539. doi:

ARVO Annual Meeting Abstract June 2020

The association between race and longitudinal visual field variability

Brian Stagg; Eduardo Mariottoni; Samuel Berchuck; Alessandro A Jammal; Rachel Hess; Kensaku Kawamoto; Ben Haaland; Felipe A Medeiros

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4045. doi:

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Extended duration of IOP lowering with bimatoprost implant in a phase 3 open-label extension study

Discriminating between healthy and glaucomatous eyes using a Bayesian macular deviation map

Longitudinal Changes in the Central Visual Field and Risk of Visual Acuity Loss in Glaucoma

Intraocular Pressure and Rates of Macular Thickness Thinning in Subjects with Glaucoma

Social History and Glaucoma Progression: The Effect of Obesity, Tobacco, and Alcohol Consumption on the Rates of Structural Change in Patients with Glaucoma

Rapid initial OCT RNFL thinning is predictive of large visual field loss during extended follow-up in glaucoma

Identifying risk factors for blindness from glaucoma at first presentation to a tertiary clinic

Racial Differences in the Rate of Change in Anterior Lamina Cribrosa Surface Depth in the African Descent and Glaucoma Evaluation Study

Predicting Age From Optical Coherence Tomography Scans With Deep Learning

The Effect of Age on Increasing Susceptibility to Retinal Nerve Fiber Layer Loss in Glaucoma

Clustering Spectral-Domain Optical Coherence Tomography Images using a Deep Variational Auto-encoder

A Review of Deep Learning for Screening, Diagnosis, and Detection of Glaucoma Progression

A Deep Learning-Based Mapping of Structure to Function in Glaucoma

Visual Crowding in Glaucoma: Structural and Functional Relationships

Comparison of the performance of a Machine-to-Machine (M2M) deep learning algorithm versus human graders for glaucoma screening in teleretinal fundus images

The relationship between concomitant mental health disorders and disease severity among glaucoma patients

Effect of diabetes control on rates of visual field loss in patients with glaucoma.

Predicting Rates of RNFL Loss from Analysis of Deep Optic Nerve Head Images

From Machine to the Real World: Assessing the Accuracy of a Machine-to-Machine (M2M) Deep Learning Model to Detect Glaucoma during a Population-Based Screening Effort in Brazil

The association between race and longitudinal visual field variability

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