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Special Issue December 2020

Exploring a Structural Basis for Delayed Rod-Mediated Dark Adaptation in Age-Related Macular Degeneration Via Deep Learning

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Aaron Y. Lee; Cecilia S. Lee; Marian S. Blazes; Julia P. Owen; Yelena Bagdasarova; Yue Wu; Theodore Spaide; Ryan T. Yanagihara; Yuka Kihara; Mark E. Clark; MiYoung Kwon; Cynthia Owsley; Christine A. Curcio

Trans. Vis. Sci. Tech.. 2020; 9(2):62. doi: https://doi.org/10.1167/tvst.9.2.62

Includes: Supplemental Content

ARVO Imaging in the Eye Conference Abstract July 2020

Bringing Deep Learning Models to the Data: An Application in Recognizing Intra-Retinal Fluid on Optical Coherence Tomography (OCT) Images

Khadija Raza; Nihaal Mehta; Cecilia Lee; Luisa Mendonca; Phillip Braun; Jay duker; Aaron Lee

Invest. Ophthalmol. Vis. Sci.. 2020; 61(9):PB0019. doi:

Special Issue July 2020

Protecting Data Privacy in the Age of AI-Enabled Ophthalmology

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Elysse Tom; Pearse A. Keane; Marian Blazes; Louis R. Pasquale; Michael F. Chiang; Aaron Y. Lee; Cecilia S. Lee; and AAO Artificial Intelligence Task Force
TAGS: ophthalmology, privacy, datasets
Trans. Vis. Sci. Tech.. 2020; 9(2):36. doi: https://doi.org/10.1167/tvst.9.2.36

ARVO Annual Meeting Abstract June 2020

Using Deep Learning to Automate Goldmann Applanation Tonometry (GAT)

Joanne C Wen; Ted Spaide; Yue Wu; Ryan T. Yanagihara; Omar Ghabra; Shu Feng; Philip P Chen; Aaron Y Lee

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):3492. doi:

ARVO Annual Meeting Abstract June 2020

Global maximal utility optimizer for resident matching

Yue Wu; Theodore Spaide; Yuka Kihara; Cecilia S Lee; Ryan T. Yanagihara; Julia Owen; Aaron Y Lee; Russell Van Gelder

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):5120. doi:

ARVO Annual Meeting Abstract June 2020

Cataract surgery is associated with reduced risk for Alzheimer’s disease

Cecilia S Lee; Laura E Gibbons; Aaron Y Lee; Ryan Yanagihara; Eric B Larson; Paul K Crane

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):815. doi:

ARVO Annual Meeting Abstract June 2020

Automated detection of glaucoma using retinal images with interpretable deep learning

Parmita Mehta; Aaron Y Lee; Joanne Wen; Michael R Bannit; Philip P Chen; Karine D Bojikian; Christine Petersen; Catherine A Egan; Su-In Lee; Magdalena Balazinska; Ariel Rokem

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1150. doi:

Special Issue February 2020

Methodological Challenges of Deep Learning in Optical Coherence Tomography for Retinal Diseases: A Review

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Ryan T. Yanagihara; Cecilia S. Lee; Daniel Shu Wei Ting; Aaron Y. Lee
TAGS: datasets, deep learning, optical coherence tomography, retinal diseases, diagnostic imaging
Trans. Vis. Sci. Tech.. 2020; 9(2):11. doi: https://doi.org/10.1167/tvst.9.2.11

Special Issue February 2020

How Artificial Intelligence Can Transform Randomized Controlled Trials

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Cecilia S. Lee; Aaron Y. Lee
TAGS: artificial intelligence, randomized controlled trial
Trans. Vis. Sci. Tech.. 2020; 9(2):9. doi: https://doi.org/10.1167/tvst.9.2.9

ARVO Annual Meeting Abstract July 2019

Automated Machine Learning Pipeline for Predicting Retinal Sensitivity from Optical Coherence Tomography in Macular Telangiectasia Type 2

Yuka Kihara; Tjebo Heeren; yue wu; Ted Spaide; Sa Xiao; Catherine A Egan; Cecilia S Lee; Aaron Lee

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1450. doi:

ARVO Annual Meeting Abstract July 2019

Development of AI Deep Learning Algorithms for the Quantification of Retinopathy of Prematurity

Phanith Touch; Yue Wu; Yuka Kihara; Emily Marie Zepeda; Thomas Bradford Gillette; Michelle Trager Cabrera; Aaron Lee

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1530. doi:

ARVO Annual Meeting Abstract July 2019

Genomic and gene expression analyses of pathogens in post-surgical endophthalmitis

Cecilia S Lee; Sundeep Kasi; Bryan Hong; Ferhina Ali; Lakshmi Akleswaran; Aaron Lee; Sunir Garg; Russell N Van Gelder

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):3255. doi:

ARVO Annual Meeting Abstract July 2019

Automated deep learning segmentation for smartphone based applanation tonometry

Theodore Spaide; yue wu; Yuka Kihara; Sa Xiao; Cecilia S Lee; Joanne C Wen; Aaron Lee

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1479. doi:

ARVO Annual Meeting Abstract July 2019

Predictors of baseline diabetic retinopathy severity at Veterans Affairs teleretinal screening program over a 10-year period

Michael Gencarella; Cecilia S Lee; Hoon C Jung; Aaron Lee

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1108. doi:

ARVO Annual Meeting Abstract July 2019

Using AI to infer function from structure in retinal imaging

Aaron Y Lee

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1409. doi:

ARVO Annual Meeting Abstract July 2019

A Pilot Study of a Smartphone-Based Tonometer

Joanne C Wen; Ian Luttrell; Philip P Chen; Shu Feng; Ted Spaide; yue wu; Aaron Y Lee

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):3918. doi:

ARVO Annual Meeting Abstract July 2019

Fully automated artificial intelligence (AI) pipeline for feature-based segmentation and classification of diabetic retinopathy in fundus photographs

yue wu; Fenghua Wang; Sa Xiao; Yuka Kihara; Ted Spaide; Cecilia S Lee; Aaron Y Lee

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):2205. doi:

ARVO Annual Meeting Abstract July 2018

Ophthalmic surgical interventions following open globe repair in patients ultimately requiring enucleation

Adam Sweeney; Aaron Y. Lee; Eissa Hanna

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):2312. doi:

ARVO Annual Meeting Abstract July 2018

CAPTCHA performance in patients with active macular disease

Gautam Vangipuram; Cecilia S Lee; Aaron Y. Lee

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):5174. doi:

ARVO Annual Meeting Abstract July 2018

Fully automated quantification of retinal cones and anterior chamber cells using deep learning

yue wu; Sa Xiao; Ariel Rokem; Cecilia S Lee; Leslie Wilson; Kathryn Pepple; Ramkumar Sabesan; Aaron Y. Lee

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):1222. doi:

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Exploring a Structural Basis for Delayed Rod-Mediated Dark Adaptation in Age-Related Macular Degeneration Via Deep Learning

Bringing Deep Learning Models to the Data: An Application in Recognizing Intra-Retinal Fluid on Optical Coherence Tomography (OCT) Images

Protecting Data Privacy in the Age of AI-Enabled Ophthalmology

Using Deep Learning to Automate Goldmann Applanation Tonometry (GAT)

Global maximal utility optimizer for resident matching

Cataract surgery is associated with reduced risk for Alzheimer’s disease

Automated detection of glaucoma using retinal images with interpretable deep learning

Methodological Challenges of Deep Learning in Optical Coherence Tomography for Retinal Diseases: A Review

How Artificial Intelligence Can Transform Randomized Controlled Trials

Automated Machine Learning Pipeline for Predicting Retinal Sensitivity from Optical Coherence Tomography in Macular Telangiectasia Type 2

Development of AI Deep Learning Algorithms for the Quantification of Retinopathy of Prematurity

Genomic and gene expression analyses of pathogens in post-surgical endophthalmitis

Automated deep learning segmentation for smartphone based applanation tonometry

Predictors of baseline diabetic retinopathy severity at Veterans Affairs teleretinal screening program over a 10-year period

Using AI to infer function from structure in retinal imaging

A Pilot Study of a Smartphone-Based Tonometer

Fully automated artificial intelligence (AI) pipeline for feature-based segmentation and classification of diabetic retinopathy in fundus photographs

Ophthalmic surgical interventions following open globe repair in patients ultimately requiring enucleation

CAPTCHA performance in patients with active macular disease

Fully automated quantification of retinal cones and anterior chamber cells using deep learning

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