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ARVO Imaging in the Eye Conference Abstract July 2024

Retinal Nerve Fiber Layer Thickness Prediction from Longitudinal OCT Imaging using Deep Learning

JALIL JALILI; Evan Walker; Christopher Bowd; Akram Belghith; Michael H. Goldbaum; Massimo A. Fazio; Christopher A. Girkin; Gustavo De Moraes; Jeffrey M. Liebman; Robert N. Weinreb; Linda Zangwill; Mark Christopher

Invest. Ophthalmol. Vis. Sci.. 2024; 65(9):PP008.

Glaucoma July 2024

Wide-Field Optical Coherence Tomography Imaging Improves Rate of Change Detection in Progressing Glaucomatous Eyes Compared With Standard-Field Imaging

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Christopher Bowd; Akram Belghith; Jasmin Rezapour; Jost B. Jonas; Leslie Hyman; Robert N. Weinreb; Linda M. Zangwill
TAGS: diagnostic imaging, eye, glaucoma, optic disk, optical coherence tomography, retinal nerve fiber layer, myopia
Invest. Ophthalmol. Vis. Sci.. 2024; 65(8):18. https://doi.org/10.1167/iovs.65.8.18

ARVO Annual Meeting Abstract June 2024

Rates of choroidal microvascular dropout and macular structural changes in glaucoma eyes with and without high myopia

Anuwat Jiravarnsirikul; Akram Belghith; Jasmin Rezapour; Min Hee Suh; Jost B. Jonas; Evan Walker; Mark Christopher; Massimo Antonio Fazio; Robert Weinreb; Linda M Zangwill

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):4868.

ARVO Annual Meeting Abstract June 2024

A Deep Learning Approach Accurately Estimates RNFL Thickness in OCT Scans Where Instrument-Native Segmentation Fails

Benton Gabriel Chuter; Justin Huynh; Mark Christopher; Ruben Cesar Gonzalez; Evan Walker; Sally Liu Baxter; Akram Belghith; Christopher Bowd; Michael Henry Goldbaum; Jeffrey M Liebmann; Massimo Antonio Fazio; Christopher A Girkin; Robert Weinreb; Linda M Zangwill

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2385.

ARVO Annual Meeting Abstract June 2024

Regional differences in optical coherence tomography (OCT) optic nerve head and macula parameters for detecting glaucoma in eyes with and without high axial myopia

Jasmin Rezapour; Evan Walker; Akram Belghith; Christopher Bowd; Massimo Antonio Fazio; Anuwat Jiravarnsirikul; Leslie Hyman; Jost B. Jonas; Robert Weinreb; Linda M Zangwill

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2543.

ARVO Annual Meeting Abstract June 2024

Evaluating GPT-4 Diagnostic Proficiency in Glaucoma Detection through Fundus Image Analysis

JALIL JALILI; Anuwat Jiravarnsirikul; Christopher Bowd; Akram Belghith; Michael Henry Goldbaum; Sally L. Baxter; Linda M Zangwill; Mark Christopher

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2832.

ARVO Annual Meeting Abstract June 2024

Deep Learning Prediction of Glaucoma Progression using Multimodal Transformers and Longitudinal Clinical Data

Justin Huynh; Ruben Cesar Gonzalez; Evan Walker; Benton Gabriel Chuter; Alireza Kamalipour; Christopher Bowd; Akram Belghith; Michael Henry Goldbaum; Massimo Antonio Fazio; Christopher A Girkin; Carlos Gustavo De Moraes; Jeffrey M Liebmann; Robert Weinreb; Sally Liu Baxter; Linda M Zangwill; Mark Christopher

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):1623.

Artificial Intelligence January 2024

Deep Learning Identifies High-Quality Fundus Photographs and Increases Accuracy in Automated Primary Open Angle Glaucoma Detection

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Benton Chuter; Justin Huynh; Christopher Bowd; Evan Walker; Jasmin Rezapour; Nicole Brye; Akram Belghith; Massimo A. Fazio; Christopher A. Girkin; Gustavo De Moraes; Jeffrey M. Liebmann; Robert N. Weinreb; Linda M. Zangwill; Mark Christopher
TAGS: fundus photography, open-angle glaucoma, deep learning, glaucoma, datasets
Trans. Vis. Sci. Tech.. 2024; 13(1):23. https://doi.org/10.1167/tvst.13.1.23

ARVO Imaging in the Eye Conference Abstract June 2023

Deep Learning with Multimodal Data for Prediction of Glaucoma

Jimmy Chen; Rui Fan; Mark Christopher; Akram Belghith; Christopher Bowd; Michael Goldbaum; Massimo Fazio; Christopher Girkin; Gustavo De Moraes; Jeffrey Liebmann; Linda Zangwill

Invest. Ophthalmol. Vis. Sci.. 2023; 64(9):PB0016.

ARVO Annual Meeting Abstract June 2023

Transformer-based Deep Learning Approach Predicts Glaucoma Surgical Intervention from OCT

Mark Christopher; Ruben Gonzalez; Justin Huynh; Evan Walker; Bharanidharan Radha Saseendrakumar; Christopher Bowd; Akram Belghith; Michael Henry Goldbaum; Massimo Antonio Fazio; Christopher A Girkin; C. Gustavo De Moraes; Jeffrey M Liebmann; Robert N Weinreb; Sally Baxter; Linda M Zangwill

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):371.

ARVO Annual Meeting Abstract June 2023

Automated Measurement of RNFL Thickness from OCT Scans Using a Deep Learning Segmentation Free Approach

Benton Gabriel Chuter; Justin Huynh; Mark Christopher; Ruben Gonzalez; Evan Walker; Sally L. Baxter; Akram Belghith; Christopher Bowd; Michael Henry Goldbaum; Jeffrey M Liebmann; Massimo Antonio Fazio; Christopher A Girkin; Robert N Weinreb; Linda M Zangwill

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):359.

ARVO Annual Meeting Abstract June 2023

Multimodal Transformer Model to Detect Glaucoma from OCT and Retinal Nerve Fiber Layer (RNFL) Thickness

Justin Huynh; Ruben Gonzalez; Evan Walker; Benton Gabriel Chuter; Akram Belghith; Christopher Bowd; Michael Henry Goldbaum; Sally L. Baxter; Robert N Weinreb; Ali Tafreshi; Linda M Zangwill; Mark Christopher

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):362.

ARVO Annual Meeting Abstract June 2023

Predicting Surgical Interventions for Glaucoma with Clinically Available Data

Ruben Gonzalez; Justin Huynh; Evan Walker; Bharanidharan Radha Saseendrakumar; Christopher Bowd; Akram Belghith; Michael Henry Goldbaum; Massimo Antonio Fazio; Christopher A Girkin; Gustavo De Moraes; Jeffrey M Liebmann; Robert Weinreb; Sally L. Baxter; Linda M Zangwill; Mark Christopher

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):387.

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.

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.

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.

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.

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.

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. https://doi.org/10.1167/tvst.10.8.19

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.

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Retinal Nerve Fiber Layer Thickness Prediction from Longitudinal OCT Imaging using Deep Learning

Wide-Field Optical Coherence Tomography Imaging Improves Rate of Change Detection in Progressing Glaucomatous Eyes Compared With Standard-Field Imaging

Rates of choroidal microvascular dropout and macular structural changes in glaucoma eyes with and without high myopia

A Deep Learning Approach Accurately Estimates RNFL Thickness in OCT Scans Where Instrument-Native Segmentation Fails

Regional differences in optical coherence tomography (OCT) optic nerve head and macula parameters for detecting glaucoma in eyes with and without high axial myopia

Evaluating GPT-4 Diagnostic Proficiency in Glaucoma Detection through Fundus Image Analysis

Deep Learning Prediction of Glaucoma Progression using Multimodal Transformers and Longitudinal Clinical Data

Deep Learning Identifies High-Quality Fundus Photographs and Increases Accuracy in Automated Primary Open Angle Glaucoma Detection

Deep Learning with Multimodal Data for Prediction of Glaucoma

Transformer-based Deep Learning Approach Predicts Glaucoma Surgical Intervention from OCT

Automated Measurement of RNFL Thickness from OCT Scans Using a Deep Learning Segmentation Free Approach

Multimodal Transformer Model to Detect Glaucoma from OCT and Retinal Nerve Fiber Layer (RNFL) Thickness

Predicting Surgical Interventions for Glaucoma with Clinically Available Data

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

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

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

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

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

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