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Artificial Intelligence August 2024

Transformer-Based Deep Learning Prediction of 10-Degree Humphrey Visual Field Tests From 24-Degree Data

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Min Shi; Anagha Lokhande; Yu Tian; Yan Luo; Mohammad Eslami; Saber Kazeminasab; Tobias Elze; Lucy Q. Shen; Louis R. Pasquale; Sarah R. Wellik; Carlos Gustavo De Moraes; Jonathan S. Myers; Nazlee Zebardast; David S. Friedman; Michael V. Boland; Mengyu Wang
TAGS: datasets, deep learning, glaucoma, humphrey visual field plot, eye
Trans. Vis. Sci. Tech.. 2024; 13(8):11. https://doi.org/10.1167/tvst.13.8.11

ARVO Annual Meeting Abstract June 2024

Perimetric testing patterns focusing on the central visual field region can be more sensitive to glaucomatous progression than more peripheral patterns

Yujia Wang; Iván Marin-Franch; Carlos Gustavo De Moraes; Ari Leshno; Aakriti Garg Shukla; Jeffrey M Liebmann; George A. Cioffi; Donald Hood; Emmanouil Tsamis

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):4800.

ARVO Annual Meeting Abstract June 2024

Dual-Level Pattern Tree for Visual Field Characterization in Glaucoma Improves Predicting Progression and Polygenic Risk Score

Luo Song; Lucy Q Shen; Louis R Pasquale; Michael V Boland; Sarah Wellik; Carlos Gustavo De Moraes; Jonathan S. Myers; Tobias Elze; Nazlee Zebardast; David S Friedman; Jae H Kang; Mengyu Wang

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):6477.

ARVO Annual Meeting Abstract June 2024

Binocular Visual Field Loss Patterns in Glaucoma and Their Associations with Demographic Groups

Jinghan Wang; Luo Song; Lucy Q Shen; Louis R Pasquale; Michael V Boland; Sarah Wellik; Carlos Gustavo De Moraes; Jonathan S. Myers; Tobias Elze; Nazlee Zebardast; David S Friedman; Mengyu Wang

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):4807.

ARVO Annual Meeting Abstract June 2024

A combination of OCT metrics can detect glaucoma progression sooner than a VF benchmark criterion

Emmanouil (Manos) Tsamis; Yujia Wang; Ari Leshno; Carlos Gustavo De Moraes; Aakriti Garg Shukla; George A Cioffi; Jeffrey M Liebmann; Donald C Hood

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2537.

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.

Glaucoma January 2024

Detecting Established Glaucoma Using OCT Alone: Utilizing an OCT Reading Center in a Real-World Clinical Setting

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Ari Leshno; Emmanouil Tsamis; Sitara Hirji; Gabriel A. Gomide; Noga Harizman; Carlos Gustavo De Moraes; Aakriti Garg Shukla; George A. Cioffi; Donald C. Hood; Jeffrey M. Liebmann
TAGS: diagnostic imaging, glaucoma, reading (activity), eye
Trans. Vis. Sci. Tech.. 2024; 13(1):4. https://doi.org/10.1167/tvst.13.1.4

Perspective December 2023

A Model of Progression to Help Identify Macular Damage Due to Glaucoma

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Donald C. Hood; Sol La Bruna; Ari Leshno; Gabriel A. Gomide; Mi Jeung Kim; George A. Cioffi; Jeffrey M. Liebmann; Carlos Gustavo De Moraes; Emmanouil Tsamis
TAGS: glaucoma
Invest. Ophthalmol. Vis. Sci.. 2023; 64(15):8. https://doi.org/10.1167/iovs.64.15.8

Includes: Supplemental Content

Glaucoma October 2023

Validating Trend-Based End Points for Neuroprotection Trials in Glaucoma

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Giovanni Montesano; David F. Garway-Heath; Alessandro Rabiolo; Carlos Gustavo De Moraes; Giovanni Ometto; David P. Crabb
TAGS: eye, glaucoma, neuroprotection, surrogate endpoints, trend, united states food and drug administration, retinopathy of prematurity
Trans. Vis. Sci. Tech.. 2023; 12(10):20. https://doi.org/10.1167/tvst.12.10.20

Includes: Supplemental Content

Glaucoma March 2023

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

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Emmanouil Tsamis; Sol La Bruna; Anvit Rai; Ari Leshno; Jennifer Grossman; George Cioffi; Jeffrey M. Liebmann; Carlos Gustavo De Moraes; Donald C. Hood
TAGS: eye, glaucoma, optical coherence tomography, perimetry, specificity of diagnostic test, trend
Trans. Vis. Sci. Tech.. 2023; 12(3):19. https://doi.org/10.1167/tvst.12.3.19

Includes: Supplemental Content

Glaucoma July 2022

Test of a Retinal Nerve Fiber Bundle Trajectory Model Using Eyes With Glaucomatous Optic Neuropathy

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Zane Zenon Zemborain; Emmanouil Tsamis; Sol La Bruna; Ari Leshno; Carlos Gustavo De Moraes; Donald Charles Hood
TAGS: eye, glaucoma, nerve fibers, optic nerve disorders, retinal nerve fiber layer
Trans. Vis. Sci. Tech.. 2022; 11(7):7. https://doi.org/10.1167/tvst.11.7.7

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

Articles April 2021

Strategies to Improve Convolutional Neural Network Generalizability and Reference Standards for Glaucoma Detection From OCT Scans

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Kaveri A. Thakoor; Xinhui Li; Emmanouil Tsamis; Zane Z. Zemborain; Carlos Gustavo De Moraes; Paul Sajda; Donald C. Hood
TAGS: convolutional neural networks, datasets, glaucoma, reference standards, retinal nerve fiber layer, training, maps
Trans. Vis. Sci. Tech.. 2021; 10(4):16. https://doi.org/10.1167/tvst.10.4.16

Includes: Supplemental Content

Articles November 2020

Inter-Eye Association of Visual Field Defects in Glaucoma and Its Clinical Utility

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Bettina Teng; Dian Li; Eun Young Choi; Lucy Q. Shen; Louis R. Pasquale; Michael V. Boland; Pradeep Ramulu; Sarah R. Wellik; Carlos Gustavo De Moraes; Jonathan S. Myers; Siamak Yousefi; Thao Nguyen; Yuying Fan; Hui Wang; Peter J. Bex; Tobias Elze; Mengyu Wang

Trans. Vis. Sci. Tech.. 2020; 9(12):22. https://doi.org/10.1167/tvst.9.12.22

Includes: Supplemental Content

ARVO Annual Meeting Abstract June 2020

Deep Learning Models Based on Unsegmented OCT RNFL Circle Scans Provide Accurate Detection of Glaucoma and High Resolution Prediction of Visual Field Damage

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

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1439.

ARVO Annual Meeting Abstract June 2020

Kalman Filtering Based Machine Learning to Predict Future Mean Deviation Values for Patients with Glaucoma -- Enhancing Existing Models Using Data from Optical Coherence Tomography. A Study Using Data from ADAGES and DIGS.

Mohammad Zhalechian; Mark P Van Oyen; Mariel S Lavieri; Carlos Gustavo De Moraes; Christopher A Girkin; Massimo Antonio Fazio; Robert N Weinreb; Christopher Bowd; Jeffrey M Liebmann; Linda M Zangwill; Chris A Andrews; Joshua D Stein

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1986.

ARVO Annual Meeting Abstract June 2020

Inter-Eye Symmetries of Visual Field Defects in Glaucoma

Bettina Teng; Dian Li; Lucy Shen; Louis R Pasquale; Michael V Boland; Pradeep Y Ramulu; Sara Wellik; Carlos Gustavo De Moraes; Jonathan S Myers; Siamak Yousefi; Thao D Nguyen; Eun Young Choi; Hui Wang; Peter J Bex; Tobias Elze; Mengyu Wang

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4047.

ARVO Annual Meeting Abstract June 2020

A comparison of methods to detect structure-function progression in early glaucoma

Emmanouil (Manos) Tsamis; Ashley Sun; Sol La Bruna; Carlos Gustavo De Moraes; Donald C Hood

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1990.

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Transformer-Based Deep Learning Prediction of 10-Degree Humphrey Visual Field Tests From 24-Degree Data

Perimetric testing patterns focusing on the central visual field region can be more sensitive to glaucomatous progression than more peripheral patterns

Dual-Level Pattern Tree for Visual Field Characterization in Glaucoma Improves Predicting Progression and Polygenic Risk Score

Binocular Visual Field Loss Patterns in Glaucoma and Their Associations with Demographic Groups

A combination of OCT metrics can detect glaucoma progression sooner than a VF benchmark criterion

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

Detecting Established Glaucoma Using OCT Alone: Utilizing an OCT Reading Center in a Real-World Clinical Setting

A Model of Progression to Help Identify Macular Damage Due to Glaucoma

Validating Trend-Based End Points for Neuroprotection Trials in Glaucoma

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

Test of a Retinal Nerve Fiber Bundle Trajectory Model Using Eyes With Glaucomatous Optic Neuropathy

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

Strategies to Improve Convolutional Neural Network Generalizability and Reference Standards for Glaucoma Detection From OCT Scans

Inter-Eye Association of Visual Field Defects in Glaucoma and Its Clinical Utility

Deep Learning Models Based on Unsegmented OCT RNFL Circle Scans Provide Accurate Detection of Glaucoma and High Resolution Prediction of Visual Field Damage

Kalman Filtering Based Machine Learning to Predict Future Mean Deviation Values for Patients with Glaucoma -- Enhancing Existing Models Using Data from Optical Coherence Tomography. A Study Using Data from ADAGES and DIGS.

Inter-Eye Symmetries of Visual Field Defects in Glaucoma

A comparison of methods to detect structure-function progression in early glaucoma

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