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ARVO Annual Meeting Abstract June 2022

Ora Vanishing Optotypes Reading Test™ in Non-Advanced Age-Related Macular Degeneration: Results Of 1-Year Follow-Up

John David Rodriguez; Kevin Dieter; Ethan bensinger; Gustavo De Moraes; Donna L Welch; Garrick Wallstrom; Mark B Abelson

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):359 – F0190. doi:

ARVO Annual Meeting Abstract June 2022

Comparison of Deep Learning Glaucoma Detection Using Optic Nerve Head Fundus Photos and Optical Coherence Tomography

Mark Christopher; Christopher Bowd; Evan Walker; Akram Belghith; Michael Henry Goldbaum; Jasmin Rezapour; Massimo A. Fazio; Christopher A Girkin; Gustavo De Moraes; Jeffrey M Liebmann; Robert N Weinreb; Andrzej Grzybowski; Linda Zangwill

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2035 – A0476. doi:

ARVO Annual Meeting Abstract June 2022

Evaluation of a Deep Learning Model on a Real-World Clinical Glaucoma Dataset

Kaveri Thakoor; Ari Leshno; Sol La Bruna; Emmanouil Tsamis; Gustavo De Moraes; Paul Sajda; Noga Harizman; Jeffrey M Liebmann; George A Cioffi; Donald C Hood

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2026 – A0467. doi:

ARVO Annual Meeting Abstract June 2022

Reducing the size of glaucoma neuroprotective clinical trials through deep learning-based retinal structural predictions

Pourya Hoseini; Mark Christopher; Evan Walker; James A. Proudfoot; Christopher Bowd; Massimo A. Fazio; Christopher A Girkin; Gustavo De Moraes; Jeffrey M Liebmann; Robert N Weinreb; Armin Schwartzman; Linda M Zangwill; Derek Stuart Welsbie

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2996 – F0266. doi:

ARVO Annual Meeting Abstract June 2022

Establishing a Hybrid Control for Conjunctival Allergen Challenge Studies for Allergic Conjunctivitis

Qian H Li; Paul J Gomes; Gustavo De Moraes; Hongyan Li; Mark B Abelson

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):3376 – A0163. doi:

ARVO Annual Meeting Abstract June 2022

A Deep Autoencoder Model to Denoise Visual Fields in Glaucoma

Vishal Sharma; Lucy Q Shen; Louis Pasquale; Tobias Elze; Michael V Boland; Sarah R Wellik; Gustavo De Moraes; Jonathan S Myers; Siamak Yousefi; Mengyu Wang

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2010 – A0451. doi:

ARVO Annual Meeting Abstract June 2022

OCT Probability Change Maps for Detection of Early Glaucomatous Progression

Sol La Bruna; Emmanouil (Manos) Tsamis; Ari Leshno; Anvit Rai; Gustavo De Moraes; Donald C Hood

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):627 – A0367. doi:

Articles May 2022

Improving Visual Field Forecasting by Correcting for the Effects of Poor Visual Field Reliability

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Gabriel A. Villasana; Chris Bradley; Tobias Elze; Jonathan S. Myers; Louis Pasquale; C Gustavo De Moraes; Sarah Wellik; Michael V. Boland; Pradeep Ramulu; Greg Hager; Mathias Unberath; Jithin Yohannan
TAGS: reliability, visual fields, eye
Trans. Vis. Sci. Tech.. 2022; 11(5):27. doi: https://doi.org/10.1167/tvst.11.5.27

Articles March 2022

Detection of Early Glaucomatous Damage: Performance of Summary Statistics From Optical Coherence Tomography and Perimetry

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Emmanouil Tsamis; Sol La Bruna; Ari Leshno; Carlos Gustavo De Moraes; Donald Hood
TAGS: glaucoma, optical coherence tomography, perimetry, eye
Trans. Vis. Sci. Tech.. 2022; 11(3):36. doi: https://doi.org/10.1167/tvst.11.3.36

Includes: Supplemental Content

Articles March 2022

The OCT RNFL Probability Map and Artifacts Resembling Glaucomatous Damage

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Sol La Bruna; Anvit Rai; Grace Mao; Jennifer Kerr; Heer Amin; Zane Z. Zemborain; Ari Leshno; Emmanouil Tsamis; Carlos Gustavo De Moraes; Donald C. Hood
TAGS: artifacts, glaucoma, retinal nerve fiber layer, maps, eye
Trans. Vis. Sci. Tech.. 2022; 11(3):18. doi: https://doi.org/10.1167/tvst.11.3.18

Articles July 2021

Individualized Glaucoma Change Detection Using Deep Learning Auto Encoder-Based Regions of Interest

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Christopher Bowd; Akram Belghith; Mark Christopher; Michael H. Goldbaum; Massimo A. Fazio; Christopher A. Girkin; Jeffrey M. Liebmann; Carlos Gustavo de Moraes; Robert N. Weinreb; Linda M. Zangwill
TAGS: eye, glaucoma, retinal nerve fiber layer, deep learning
Trans. Vis. Sci. Tech.. 2021; 10(8):19. doi: https://doi.org/10.1167/tvst.10.8.19

ARVO Annual Meeting Abstract June 2021

Evaluation of standard and novel structural and functional methods for detecting progression in glaucoma

Emmanouil (Manos) Tsamis; Jennifer Leah Grossman; Sol La Bruna; Gustavo De Moraes; Donald C Hood

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):3358. doi:

ARVO Annual Meeting Abstract June 2021

Clinicians’ Use of Global Indices when Assessing Functional Progression in Glaucoma

Steven L Mansberger; Robert Kinast; C Gustavo De Moraes; Donald L Budenz; Jin Wook Jeoung; John Lind; Jonathan S. Myers; Kouros Nouri-Mahdavi; Lindsay Anne Rhodes; Nicholas G Strouthidis; Teresa C Chen; Stuart Keith Gardiner

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1842. doi:

ARVO Annual Meeting Abstract June 2021

Identifying patterns of glaucomatous progression in the circumpapillary retinal nerve fiber layer using OCT circle scans

Jennifer Leah Grossman; Emmanouil Tsamis; Sol La Bruna; Jeffrey M Liebmann; C Gustavo De Moraes; Donald C Hood

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1840. doi:

ARVO Annual Meeting Abstract June 2021

Performance of Deep Learning Models to Detect Glaucoma Using Unsegmented Radial and Circle OCT Scans of the Optic Nerve Head

Mark Christopher; Christopher Bowd; James A Proudfoot; Nicole Brye; Akram Belghith; Michael Henry Goldbaum; Jasmin Rezapour; Massimo Antonio Fazio; Christopher A Girkin; C Gustavo De Moraes; Jeffrey M Liebmann; Robert N Weinreb; Linda M Zangwill

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1014. doi:

ARVO Annual Meeting Abstract June 2021

A deep learning model to assess fundus photograph image quality and improve predictive value of deep learning models of glaucoma detection.

Benton Chuter; Mark Christopher; Rui Fan; Akram Belghith; Christopher Bowd; Nicole Brye; James A Proudfoot; Jasmin Rezapour; Massimo Antonio Fazio; Michael Henry Goldbaum; Robert N Weinreb; Christopher A Girkin; Jeffrey M Liebmann; C Gustavo De Moraes; Linda M Zangwill

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1016. doi:

ARVO Annual Meeting Abstract June 2021

Deep Learning Predicts Demographic and Clinical Characteristics from Optic Nerve Head OCT Circle and Radial Scans

LeAnn Mendoza; Mark Christopher; Nicole Brye; James A Proudfoot; Akram Belghith; Christopher Bowd; Jasmin Rezapour; Massimo Antonio Fazio; Michael Henry Goldbaum; Robert N Weinreb; Christopher A Girkin; Jeffrey M Liebmann; C Gustavo De Moraes; Linda M Zangwill

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2120. doi:

ARVO Annual Meeting Abstract June 2021

Manhattan Vision Screening and Follow-Up Study in Vulnerable Populations: 1-Month Pilot Results

Lisa A Hark; Yocheved Shira Kresch; C Gustavo De Moraes; Jason David Horowitz; Lisa Park; James Auran; Jeffrey M Liebmann; George A Cioffi

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):3490. doi:

ARVO Annual Meeting Abstract June 2021

The effect of trabeculectomy on rates of visual field progression and retinal nerve fiber layer thinning

Brian Krawitz; C Gustavo De Moraes; George A Cioffi; Christopher A Girkin; Massimo Antonio Fazio; Christopher Bowd; Robert N Weinreb; Linda M Zangwill; Jeffrey M Liebmann

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):3356. doi:

ARVO Annual Meeting Abstract June 2021

An Early Nasal Step Defect is Often a Sign of Macular Damage.

Abinaya Thenappan; Emmanouil (Manos) Tsamis; Gustavo De Moraes; Donald C Hood

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1822. doi:

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Ora Vanishing Optotypes Reading Test™ in Non-Advanced Age-Related Macular Degeneration: Results Of 1-Year Follow-Up

Comparison of Deep Learning Glaucoma Detection Using Optic Nerve Head Fundus Photos and Optical Coherence Tomography

Evaluation of a Deep Learning Model on a Real-World Clinical Glaucoma Dataset

Reducing the size of glaucoma neuroprotective clinical trials through deep learning-based retinal structural predictions

Establishing a Hybrid Control for Conjunctival Allergen Challenge Studies for Allergic Conjunctivitis

A Deep Autoencoder Model to Denoise Visual Fields in Glaucoma

OCT Probability Change Maps for Detection of Early Glaucomatous Progression

Improving Visual Field Forecasting by Correcting for the Effects of Poor Visual Field Reliability

Detection of Early Glaucomatous Damage: Performance of Summary Statistics From Optical Coherence Tomography and Perimetry

The OCT RNFL Probability Map and Artifacts Resembling Glaucomatous Damage

Individualized Glaucoma Change Detection Using Deep Learning Auto Encoder-Based Regions of Interest

Evaluation of standard and novel structural and functional methods for detecting progression in glaucoma

Clinicians’ Use of Global Indices when Assessing Functional Progression in Glaucoma

Identifying patterns of glaucomatous progression in the circumpapillary retinal nerve fiber layer using OCT circle scans

Performance of Deep Learning Models to Detect Glaucoma Using Unsegmented Radial and Circle OCT Scans of the Optic Nerve Head

A deep learning model to assess fundus photograph image quality and improve predictive value of deep learning models of glaucoma detection.

Deep Learning Predicts Demographic and Clinical Characteristics from Optic Nerve Head OCT Circle and Radial Scans

Manhattan Vision Screening and Follow-Up Study in Vulnerable Populations: 1-Month Pilot Results

The effect of trabeculectomy on rates of visual field progression and retinal nerve fiber layer thinning

An Early Nasal Step Defect is Often a Sign of Macular Damage.

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