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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

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. doi: 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. doi: https://doi.org/10.1167/tvst.9.12.22

Includes: Supplemental Content

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. doi:

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. doi:

ARVO Annual Meeting Abstract June 2020

A simple model of the change in circumpapillary retinal nerve fiber layer thickness with increased diameter of OCT circle scans of the disc

William Eugene McKee; Emmanouil (Manos) Tsamis; Carlos Gustavo De Moraes; Donald C Hood

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):2551. doi:

ARVO Annual Meeting Abstract June 2020

A Method for Relating Regions of the OCT Circumpapillary Retinal Nerve Fiber Layer to Regions of the Probability Maps

Zane Zemborain; Melvi Del Valle Eguia; Emmanouil Tsamis; Carlos Gustavo De Moraes; Robert Ritch; Donald C Hood

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4794. doi:

ARVO Annual Meeting Abstract June 2020

A comparison of patterns of glaucomatous progression seen with OCT retinal ganglion cell progression maps to changes seen on the 10-2 visual fields

Katarzyna Malendowicz; Ha Min Kim; Abinaya Thenappan; William Eugene McKee; Emmanouil (Manos) Tsamis; Carlos Gustavo De Moraes; Robert Ritch; Donald C Hood

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4801. doi:

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. doi:

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. doi:

Methods March 2020

An Automated Method for Assessing Topographical Structure–Function Agreement in Abnormal Glaucomatous Regions

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Emmanouil Tsamis; Nikhil K. Bommakanti; Ashley Sun; Kaveri A. Thakoor; Carlos Gustavo De Moraes; Donald C. Hood
TAGS: adams-stokes syndrome, afghanistan, american samoa, angelman syndrome, ankylosing spondylitis, aortic valve stenosis, arsenic, arteriosclerosis, atherosclerosis, atrial fibrillation
Trans. Vis. Sci. Tech.. 2020; 9(4):14. doi: https://doi.org/10.1167/tvst.9.4.14

Includes: Supplemental Content

Glaucoma October 2019

Structure-Function Agreement Is Better Than Commonly Thought in Eyes With Early Glaucoma

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Donald C. Hood; Emmanouil Tsamis; Nikhil K. Bommakanti; Devon B. Joiner; Lama A. Al-Aswad; Dana M. Blumberg; George A. Cioffi; Jeffrey M. Liebmann; Carlos G. De Moraes
TAGS: adams-stokes syndrome, angelman syndrome, ankylosing spondylitis, aortic valve stenosis, arsenic, arteriosclerosis, atherosclerosis, atrial fibrillation, eye, glaucoma
Invest. Ophthalmol. Vis. Sci.. 2019; 60(13):4241-4248. doi: https://doi.org/10.1167/iovs.19-27920

ARVO Annual Meeting Abstract July 2019

Defect Classes of Visual Field Measurement in Glaucoma

Jorryt Gerlof Tichelaar; Mengyu Wang; Lucy Q Shen; Louis R Pasquale; Michael V Boland; Sarah R Wellik; Carlos Gustavo de Moraes; Jonathan S Myers; Peter Bex; Osamah Saeedi; Neda Baniasadi; Dian Li; Hui Wang; Tobias Elze

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):2858. doi:

ARVO Annual Meeting Abstract July 2019

Detecting progression of early glaucoma using alternative methods with optical coherence tomography

Ashley Sun; Emmanouil Tsamis; Xinhui Li; Katherine Tsang; Lama Al-Aswad; Dana Blumberg; George Cioffi; Jeffrey M Liebmann; Carlos Gustavo de Moraes; Donald C Hood

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):5545. doi:

Glaucoma January 2019

An Artificial Intelligence Approach to Detect Visual Field Progression in Glaucoma Based on Spatial Pattern Analysis

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Mengyu Wang; Lucy Q. Shen; Louis R. Pasquale; Paul Petrakos; Sydney Formica; Michael V. Boland; Sarah R. Wellik; Carlos Gustavo De Moraes; Jonathan S. Myers; Osamah Saeedi; Hui Wang; Neda Baniasadi; Dian Li; Jorryt Tichelaar; Peter J. Bex; Tobias Elze

Invest. Ophthalmol. Vis. Sci.. 2019; 60(1):365-375. doi: https://doi.org/10.1167/iovs.18-25568

Includes: Supplemental Content

Letters to the Editor November 2018

Author Response: Challenges to the Common Clinical Paradigm for Diagnosis of Glaucomatous Damage With OCT and Visual Fields

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Donald C. Hood; Carlos Gustavo De Moraes
TAGS: glaucoma, visual fields
Invest. Ophthalmol. Vis. Sci.. 2018; 59(13):5524. doi: https://doi.org/10.1167/iovs.18-25796

ARVO Annual Meeting Abstract July 2018

A Comparison of Qualitative and Quantitative Assessment of Glaucoma Progression Using Optical Coherence Tomography

Eleanor Kim; Ashley Sun; Zhichao Wu; Carlos Gustavo de Moraes; Robert Ritch; Donald C Hood

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):2089. doi:

ARVO Annual Meeting Abstract July 2018

Optical coherence tomography (OCT) can be used to understand and follow advanced glaucoma

Seung Lee; Rashmi Rajshekhar; Eleanor Kim; Carlos Gustavo de Moraes; Robert Ritch; Donald C Hood

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):4064. doi:

Articles March 2018

Interindividual Variations in Foveal Anatomy and Artifacts Seen on Inner Retinal Probability Maps from Spectral Domain OCT Scans of the Macula

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Carlos Gustavo De Moraes; Hassan Muhammad; Khushmit Kaur; Diane Wang; Robert Ritch; Donald C. Hood
TAGS: artifacts, macula densa, macula lutea, maps, spectral domain-optical coherence tomography, eye
Trans. Vis. Sci. Tech.. 2018; 7(2):4. doi: https://doi.org/10.1167/tvst.7.2.4

Glaucoma February 2018

Deep Defects Seen on Visual Fields Spatially Correspond Well to Loss of Retinal Nerve Fiber Layer Seen on Circumpapillary OCT Scans

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Maria A. Mavrommatis; Zhichao Wu; Saskia I. Naegele; Jason Nunez; Carlos Gustavo De Moraes; Robert Ritch; Donald C. Hood
TAGS: eye, visual fields, fovea centralis
Invest. Ophthalmol. Vis. Sci.. 2018; 59(2):621-628. doi: https://doi.org/10.1167/iovs.17-23097

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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

Inter-Eye Symmetries of Visual Field Defects in Glaucoma

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

A simple model of the change in circumpapillary retinal nerve fiber layer thickness with increased diameter of OCT circle scans of the disc

A Method for Relating Regions of the OCT Circumpapillary Retinal Nerve Fiber Layer to Regions of the Probability Maps

A comparison of patterns of glaucomatous progression seen with OCT retinal ganglion cell progression maps to changes seen on the 10-2 visual fields

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.

An Automated Method for Assessing Topographical Structure–Function Agreement in Abnormal Glaucomatous Regions

Structure-Function Agreement Is Better Than Commonly Thought in Eyes With Early Glaucoma

Defect Classes of Visual Field Measurement in Glaucoma

Detecting progression of early glaucoma using alternative methods with optical coherence tomography

An Artificial Intelligence Approach to Detect Visual Field Progression in Glaucoma Based on Spatial Pattern Analysis

Author Response: Challenges to the Common Clinical Paradigm for Diagnosis of Glaucomatous Damage With OCT and Visual Fields

A Comparison of Qualitative and Quantitative Assessment of Glaucoma Progression Using Optical Coherence Tomography

Optical coherence tomography (OCT) can be used to understand and follow advanced glaucoma

Interindividual Variations in Foveal Anatomy and Artifacts Seen on Inner Retinal Probability Maps from Spectral Domain OCT Scans of the Macula

Deep Defects Seen on Visual Fields Spatially Correspond Well to Loss of Retinal Nerve Fiber Layer Seen on Circumpapillary OCT Scans

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