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ARVO Annual Meeting Abstract June 2022

Multi-Modal deep learning classifier for glaucoma diagnosis using wide optic nerve head cube scans in eyes with and without high myopia

Jasmin Rezapour; Akram Belghith; Christopher Bowd; Mark Christopher; Jost Jonas; Robert N Weinreb; Linda Zangwill

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):195 – F0042. 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

Use of Generative Adversarial Network to Improve Glaucoma Gradability of Fundus Images

Justin Huynh; Benton Gabriel Chuter; Mark Christopher; Christopher Bowd; Rui Fan; Michael Henry Goldbaum; Akram Belghith; Christopher A Girkin; Massimo A. Fazio; Carlos G DeMoraes; Jeffrey M Liebmann; Robert N Weinreb; Linda Zangwill

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2037 – A0478. 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

Combining OCT and OCT-Angiography Longitudinal Measurements for the Prediction of Visual Field Progression in Glaucoma with Artificial Intelligence

Alireza Kamalipour; Sasan Moghimi; Pooya Khosravi; Vahid Mohammadzadeh; Takashi Nishida; Eleonora Micheletti; Jo-Hsuan Wu; Golnoush Mahmoudinezhad; Mark Christopher; Linda Zangwill; Tara Javidi; Robert N Weinreb

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):832. doi:

ARVO Annual Meeting Abstract June 2022

Detection of Glaucoma Progression on Longitudinal Series of Macular Optical Coherence Tomography Angiography Maps with a Deep Learning Model

Vahid Mohammadzadeh; Sasan Moghimi; Youwei Liang; Pengtao Xie; Takashi Nishida; Alireza Kamalipour; Mark Christopher; Linda Zangwill; Tara Javidi; Robert N Weinreb

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2919 – F0072. doi:

ARVO Annual Meeting Abstract June 2022

Primary Open-Angle Glaucoma Detection with Vision Transformer: Improved Generalization Across Independent Fundus Photograph Datasets

Christopher Bowd; Rui Fan; Kamran Alipour; Mark Christopher; Nicole Brye; James A. Proudfoot; Michael Henry Goldbaum; Akram Belghith; Christopher A Girkin; Massimo A. Fazio; Jeffrey M Liebmann; Robert N Weinreb; Michael Pazzani; David Kriegman; Linda Zangwill

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2295. doi:

ARVO Annual Meeting Abstract June 2022

Use of a deep learning image quality model to evaluate impact of clinically relevant forms of degradation on the glaucoma gradability of fundus images

Benton Gabriel Chuter; Justin Huynh; Mark Christopher; Christopher Bowd; Rui Fan; Michael Henry Goldbaum; Akram Belghith; Christopher A Girkin; Massimo A. Fazio; Carlos G DeMoraes; Jeffrey M Liebmann; Robert N Weinreb; Linda M Zangwill

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2043 – A0484. doi:

ARVO Annual Meeting Abstract June 2022

Assessing Usability and Clinical Utility of GLANCE, an Artificial Intelligence-based Tool for Predicting Glaucoma Visual Field Progression

Alexander Lieu; Astrid van den Brandt; Mark Christopher; Derek Stuart Welsbie; Jiun Lap Do; Andrew Camp; Sasan Moghimi; Sally Liu Baxter; Linda M Zangwill

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2008 – A0449. doi:

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

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 for detecting glaucoma in the Ocular Hypertension Treatment Study: Implications for clinical trial endpoints

Rui Fan; Christopher Bowd; Mark Christopher; Nicole Brye; James A Proudfoot; Jasmin Rezapour; Akram Belghith; Robert N Weinreb; David Kriegman; Linda M Zangwill

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1006. doi:

ARVO Annual Meeting Abstract June 2021

Macular thickness and vessel density in glaucoma eyes with and without high axial myopia

Jasmin Rezapour; Christopher Bowd; Jade Dohleman; Akram Belghith; James A Proudfoot; Mark Christopher; Leslie Hyman; Jost Jonas; Rafaella Penteado; Sasan Moghimi; Huiyuan Hou; Massimo A Fazio; Robert N Weinreb; Linda M Zangwill

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2431. 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

Deep-learning enface image classifier analysis of optical coherence tomography angiography images improves classification of healthy and glaucoma eyes.

Christopher Bowd; Akram Belghith; Mark Christopher; Michael Henry Goldbaum; Rui Fan; Jasmin Rezapour; Sasan Moghimi; Alireza Kamalipour; Huiyuan Hou; Linda M Zangwill; Robert N Weinreb

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1024. doi:

ARVO Imaging in the Eye Conference Abstract July 2020

Bruch’s membrane opening detection in healthy and glaucoma eyes with and without high myopia in an American and Korean population

Jasmin Rezapour; James Proudfoot; Christopher Bowd; Mark Christopher; Akram Belghith; Suzanne M. Vega; Keri Dirkes; Min Hee Suh; Robert N Weinreb; Linda Zangwill

Invest. Ophthalmol. Vis. Sci.. 2020; 61(9):PB00117. doi:

ARVO Annual Meeting Abstract June 2020

Optic disc characteristics of glaucoma eyes with and without high myopia

Jasmin Rezapour; James Alexander Proudfoot; Jade Dohleman; Mark Christopher; Akram Belghith; Leslie Hyman; Jost Jonas; Christopher Bowd; Ruti Sella; Natalie A Afshari; Huiyuan Hou; Sasan Moghimi; Rafaella Penteado; Robert N Weinreb; Linda M Zangwill

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):3932. doi:

ARVO Annual Meeting Abstract June 2020

Glance: A Visual Analytics Approach for Opening the Black Box to Explain Deep Learning Predictions of Glaucomatous Visual Field Damage from Optical Coherence Tomography Scans

Astrid van den Brandt; Mark Christopher; Jasmin Rezapour; Derek S. Welsbie; Andrew S. Camp; Sally L. Baxter; Jiun Do; Sasan Moghimi; Akram Belghith; Christopher Bowd; Michael Henry Goldbaum; Robert N Weinreb; Michel A. Westenberg; Chris CP Snijders; Linda M Zangwill

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4527. doi:

ARVO Annual Meeting Abstract June 2020

Individualized deep learning auto-encoder (DL-AE)-based OCT deviation maps for improved glaucoma progression detection

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

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4536. doi:

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Multi-Modal deep learning classifier for glaucoma diagnosis using wide optic nerve head cube scans in eyes with and without high myopia

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

Use of Generative Adversarial Network to Improve Glaucoma Gradability of Fundus Images

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

Combining OCT and OCT-Angiography Longitudinal Measurements for the Prediction of Visual Field Progression in Glaucoma with Artificial Intelligence

Detection of Glaucoma Progression on Longitudinal Series of Macular Optical Coherence Tomography Angiography Maps with a Deep Learning Model

Primary Open-Angle Glaucoma Detection with Vision Transformer: Improved Generalization Across Independent Fundus Photograph Datasets

Use of a deep learning image quality model to evaluate impact of clinically relevant forms of degradation on the glaucoma gradability of fundus images

Assessing Usability and Clinical Utility of GLANCE, an Artificial Intelligence-based Tool for Predicting Glaucoma Visual Field Progression

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

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 for detecting glaucoma in the Ocular Hypertension Treatment Study: Implications for clinical trial endpoints

Macular thickness and vessel density in glaucoma eyes with and without high axial myopia

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

Deep-learning enface image classifier analysis of optical coherence tomography angiography images improves classification of healthy and glaucoma eyes.

Bruch’s membrane opening detection in healthy and glaucoma eyes with and without high myopia in an American and Korean population

Optic disc characteristics of glaucoma eyes with and without high myopia

Glance: A Visual Analytics Approach for Opening the Black Box to Explain Deep Learning Predictions of Glaucomatous Visual Field Damage from Optical Coherence Tomography Scans

Individualized deep learning auto-encoder (DL-AE)-based OCT deviation maps for improved glaucoma progression detection

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