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Meeting Abstract (8)
Journal Articles (7)

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Investigative Ophthalmology & Visual Science (11)
Translational Vision Science & Technology (4)

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ARVO Annual Meeting Abstract (7)
Glaucoma (3)
Articles (2)
Special Issue (2)
ARVO Imaging in the Eye Conference Abstract (1)

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Eye Anatomy and Disorders (6)
Glaucoma (6)
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Visual Neuroscience (1)

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glaucoma (6)
eye (3)
datasets (2)
deep learning (2)
retinal nerve fiber layer (2)
ganglia (1)
nerve fibers (1)
optic disk (1)
optical coherence tomography (1)
perimetry (1)

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ARVO Annual Meeting Abstract June 2022

Correlated Changes in Retinal Thickness and Visuomotor Function in Asymptomatic Hydroxychloroquine Toxicity Patients

Loh-Shan Bryan Leung; Bryce Hwang; Andrew Raphael Berneshawi; Rahul Goel; Terence Tyson; Robert T. Chang; Leland S Stone

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):3789 – F0210. doi:

ARVO Annual Meeting Abstract June 2022

Federated Deep Learning for Classifying Glaucomatous Optic Neuropathy from Optical Coherence Tomography Volumetric Scans: A Privacy-preserving Multi-national Study

Anran RAN; Xi Wang; Poemen P Chan; Noel C Chan; Oi Man Mandy Wong; Hon-Wah Yung; Robert T. Chang; Suria S. Mannil; Yih Chung Tham; Ching-Yu Cheng; Pheng-Ann Heng; Clement C. Tham; Carol Yim-lui Cheung

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):850. doi:

ARVO Annual Meeting Abstract June 2022

Repeatability and correlation of a virtual reality perimeter with standard automated perimetry in glaucoma patients

Anisa Fatima Chaudhry; Andrew Raphael Berneshawi; Jocelyn Liu; Ann Shue; Dolly Chang; Julia Kim; Robert T. Chang

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):1279 – A0419. doi:

Articles May 2022

Deep Learning for Glaucoma Detection and Identification of Novel Diagnostic Areas in Diverse Real-World Datasets

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Erfan Noury; Suria S. Mannil; Robert T. Chang; An Ran Ran; Carol Y. Cheung; Suman S. Thapa; Harsha L. Rao; Srilakshmi Dasari; Mohammed Riyazuddin; Dolly Chang; Sriharsha Nagaraj; Clement C. Tham; Reza Zadeh
TAGS: datasets, glaucoma, deep learning
Trans. Vis. Sci. Tech.. 2022; 11(5):11. doi: https://doi.org/10.1167/tvst.11.5.11

Includes: Supplemental Content

Special Issue December 2020

Automatic Identification of Referral-Warranted Diabetic Retinopathy Using Deep Learning on Mobile Phone Images

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Cassie A. Ludwig; Chandrashan Perera; David Myung; Margaret A. Greven; Stephen J. Smith; Robert T. Chang; Theodore Leng

Trans. Vis. Sci. Tech.. 2020; 9(2):60. doi: https://doi.org/10.1167/tvst.9.2.60

ARVO Imaging in the Eye Conference Abstract July 2020

Intervisit repeatability of a combined retinal ganglion cell index in glaucoma

Mary K Durbin; Gary Lee; Sophia Yu; Ian P Conner; Robert T Chang; Tin Aung; Thomas Callan

Invest. Ophthalmol. Vis. Sci.. 2020; 61(9):PB00106. doi:

ARVO Annual Meeting Abstract June 2020

An Open-Label Phase Ib Study to Evaluate Retinal Imaging After Short-term Use of the Balance Goggles System (BGS) in Patients with Glaucoma

Zhongqiu Li; Cara Knasel; Mariana Nuñez; Gala Beykin; Amy Goldstein; Ann C Fisher; Kuldev Singh; Yang Sun; Robert T Chang; Wen-Shin Lee; Jeffrey Louis Goldberg

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4254. doi:

Special Issue February 2020

A 3D Deep Learning System for Detecting Referable Glaucoma Using Full OCT Macular Cube Scans

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Daniel B. Russakoff; Suria S. Mannil; Jonathan D. Oakley; An Ran Ran; Carol Y. Cheung; Srilakshmi Dasari; Mohammed Riyazzuddin; Sriharsha Nagaraj; Harsha L. Rao; Dolly Chang; Robert T. Chang
TAGS: datasets, deep learning, glaucoma, eye
Trans. Vis. Sci. Tech.. 2020; 9(2):12. doi: https://doi.org/10.1167/tvst.9.2.12

ARVO Annual Meeting Abstract September 2016

Eye Fatigue During TV Watching: An Infrared Oculography Study of Linearly vs. Circularly Polarized LCD TV

Ali Shariati; Kaitlyn Liao; Caroline Yu; Juthamat Witthayaweerasak; Robert T. Chang; Ming-Hui Sun; Yaping Joyce Liao

Invest. Ophthalmol. Vis. Sci.. 2016; 57(12):4591. doi:

Articles July 2016

Comparison of Peristat Online Perimetry with the Humphrey Perimetry in a Clinic-Based Setting

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Eugene A. Lowry; Jing Hou; Lauren Hennein; Robert T. Chang; Shan Lin; Jeremy Keenan; Sean K. Wang; Sean Ianchulev; Louis R. Pasquale; Ying Han
TAGS: glaucoma, perimetry, visual fields
Trans. Vis. Sci. Tech.. 2016; 5(4):4. doi: https://doi.org/10.1167/tvst.5.4.4

ARVO Annual Meeting Abstract March 2012

Comparison of Fixation Target Stability for RareBit and Humphrey Visual Field Tests

Shawn R. Lin; Isabella N. Lai; Sanjeev Dutta; Kuldev Singh; Robert T. Chang

Invest. Ophthalmol. Vis. Sci.. 2012; 53(14):198. doi:

Glaucoma October 2011

Macular Ganglion Cell–Inner Plexiform Layer: Automated Detection and Thickness Reproducibility with Spectral Domain–Optical Coherence Tomography in Glaucoma

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Jean-Claude Mwanza; Jonathan D. Oakley; Donald L. Budenz; Robert T. Chang; O'Rese J. Knight; William J. Feuer
TAGS: ganglia, glaucoma, optical coherence tomography
Invest. Ophthalmol. Vis. Sci.. 2011; 52(11):8323-8329. doi: https://doi.org/10.1167/iovs.11-7962

ARVO Annual Meeting Abstract April 2011

Glaucoma Detection Combining Frequency Doubling Technology Perimetry and Scanning Laser Polarimetry with Variable Corneal Compensation

Jessica T. Hochberg; Jean-Claude Mwanza; Donald L. Budenz; Robert T. Chang; William J. Feuer; Pradeep Y. Ramulu

Invest. Ophthalmol. Vis. Sci.. 2011; 52(14):5064. doi:

Glaucoma November 2010

Reproducibility of Peripapillary Retinal Nerve Fiber Layer Thickness and Optic Nerve Head Parameters Measured with Cirrus HD-OCT in Glaucomatous Eyes

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Jean-Claude Mwanza; Robert T. Chang; Donald L. Budenz; Mary K. Durbin; Mohamed G. Gendy; Wei Shi; William J. Feuer
TAGS: eye, glaucoma, optic disk, retinal nerve fiber layer
Invest. Ophthalmol. Vis. Sci.. 2010; 51(11):5724-5730. doi: https://doi.org/10.1167/iovs.10-5222

Glaucoma July 2005

Reproducibility of Retinal Nerve Fiber Thickness Measurements Using the Stratus OCT in Normal and Glaucomatous Eyes

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Donald L. Budenz; Robert T. Chang; Xiangrun Huang; Robert W. Knighton; James M. Tielsch
TAGS: eye, glaucoma, nerve fibers, retinal nerve fiber layer
Invest. Ophthalmol. Vis. Sci.. 2005; 46(7):2440-2443. doi: https://doi.org/10.1167/iovs.04-1174

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Online ISSN: 2164-2591

Investigative Ophthalmology & Visual Science
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