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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 Annual Meeting Abstract June 2020

Multilayer atrophy progression in eyes with geographic atrophy secondary to age-related macular degeneration

Maximilian Pfau; Leon Alexander von der Emde; Luis De Sisternes; Joelle Hallak; Theodore Leng; Steffen Schmitz-Valckenberg; Frank G Holz; Monika Fleckenstein; Daniel L. Rubin

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1839. doi:

ARVO Annual Meeting Abstract June 2020

Two-year outcomes of patients receiving anti-VEGF treatment for neovascular age-related macular degeneration on a treat-and-extend regimen

Victor Eng; Theodore Leng

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4192. doi:

ARVO Annual Meeting Abstract June 2020

Fully-automated prediction of anti-VEGF treatment using imaging biomarkers in neovascular age-related macular degeneration

Joelle Hallak; Maximilian Pfau; Luis De Sisternes; Rawan Allozi Rupnow; Joseph Baker; Theodore Leng; Daniel L. Rubin

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4235. doi:

ARVO Annual Meeting Abstract July 2019

A Comparison: Structural optical coherence tomography and angiography in diabetic retinopathy and diabetic macular edema

Laura C. Huang; Ali Shariati; Angela Oh; Theodore Leng; Yaping Joyce Liao

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):3026. doi:

ARVO Annual Meeting Abstract July 2019

Regression patterns of Retinopathy of Prematurity after intravitreal injection of Ranibizumab

Marco H. Ji; Darius Moshfeghi; Ryan A Shields; Zachary Bodnar; Cassie A. Ludwig; Natalia F. Callaway; Theodore Leng; Steven Sanislo; Lorenzo Orazi; Giulia Amorelli; Domenico Lepore

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):6538. doi:

ARVO Annual Meeting Abstract July 2019

Reflectance adaptive optics scanning light ophthalmoscopy of epiretinal membranes

Moataz M Razeen; Theodore Leng; Alfredo Dubra

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):2011. doi:

ARVO Annual Meeting Abstract July 2018

Automatic identification of referral-warranted diabetic retinopathy using deep learning on mobile phone images

Theodore Leng; Margaret Greven; Stephen Smith; Cassie Ludwig; Robert Chang; Rishab Gargeya

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):1705. doi:

ARVO Annual Meeting Abstract July 2018

Progressive Reductions in Acuity Occur even within the First Three Days After a Macula-Off Retinal Detachment

Margaret Greven; Theodore Leng; Loh-Shan Leung; Darius M. Moshfeghi; Steve Sanislo; Ruwan Silva; Ira Schachar

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):1159. doi:

ARVO Annual Meeting Abstract July 2018

Micro-RNAs in the pathogenesis of epiretinal membrane (ERM) formation

Georgia Kaidonis; Creed M Stary; Theodore Leng

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):5263. doi:

Articles January 2018

Beyond Retinal Layers: A Deep Voting Model for Automated Geographic Atrophy Segmentation in SD-OCT Images

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Zexuan Ji; Qiang Chen; Sijie Niu; Theodore Leng; Daniel L. Rubin
TAGS: atrophy, datasets, spectral domain-optical coherence tomography, training
Trans. Vis. Sci. Tech.. 2018; 7(1):1. doi: https://doi.org/10.1167/tvst.7.1.1

ARVO Annual Meeting Abstract June 2017

A deep learning approach for automatic identification of referral-warranted diabetic retinopathy

Theodore Leng; Rishab Gargeya

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):825. doi:

Articles February 2017

Individual Drusen Segmentation and Repeatability and Reproducibility of Their Automated Quantification in Optical Coherence Tomography Images

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Luis de Sisternes; Gowtham Jonna; Margaret A. Greven; Qiang Chen; Theodore Leng; Daniel L. Rubin
TAGS: drusen
Trans. Vis. Sci. Tech.. 2017; 6(1):12. doi: https://doi.org/10.1167/tvst.6.1.12

ARVO Annual Meeting Abstract September 2016

Automated quantitative analysis of SD-OCT scans to predict visual outcome after epiretinal membrane (ERM) removal surgery

Tiffany J Au; Luis De Sisternes; Theodore Leng; Daniel Rubin

Invest. Ophthalmol. Vis. Sci.. 2016; 57(12):5929. doi:

ARVO Annual Meeting Abstract September 2016

Factors associated with poor response to aflibercept after switching from ranibizumab or bevacizumab in neovascular age-related macular degeneration (AMD)

Sarah Cheng; Theodore Leng

Invest. Ophthalmol. Vis. Sci.. 2016; 57(12):3336. doi:

ARVO Annual Meeting Abstract September 2016

Fully automated prediction of geographic atrophy growth using quantitative SD-OCT imaging biomarkers

Theodore Leng; Sijie Niu; Luis De Sisternes; Daniel Rubin

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

ARVO Annual Meeting Abstract September 2016

Accuracy, repeatability and reproducibility of a novel approach to quantify individual drusen in spectral-domain optical coherence tomography images

Luis De Sisternes; Gowtham Jonna; Margaret Greven; Theodore Leng; Daniel Rubin

Invest. Ophthalmol. Vis. Sci.. 2016; 57(12):1619. doi:

Articles September 2015

Restricted Summed-Area Projection for Geographic Atrophy Visualization in SD-OCT Images

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Qiang Chen; Sijie Niu; Honglie Shen; Theodore Leng; Luis de Sisternes; Daniel L. Rubin
TAGS: atrophy
Trans. Vis. Sci. Tech.. 2015; 4(5):2. doi: https://doi.org/10.1167/tvst.4.5.2

Retina July 2015

Visual Prognosis of Eyes Recovering From Macular Hole Surgery Through Automated Quantitative Analysis of Spectral-Domain Optical Coherence Tomography (SD-OCT) Scans

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Luis de Sisternes; Julia Hu; Daniel L. Rubin; Theodore Leng
TAGS: eye, macular holes, optical coherence tomography, postoperative care, repair of hole of macula lutea, surgical procedures, operative, surgery specialty
Invest. Ophthalmol. Vis. Sci.. 2015; 56(8):4631-4643. doi: https://doi.org/10.1167/iovs.14-16344

ARVO Annual Meeting Abstract June 2015

Automated Segmentation and Quantification in SD-OCT Images to Predict Future Geographic Atrophy Involvement

Sijie Niu; Luis De Sisternes; Qiang Chen; Theodore Leng; Daniel L Rubin

Invest. Ophthalmol. Vis. Sci.. 2015; 56(7 ):2839. doi:

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

Multilayer atrophy progression in eyes with geographic atrophy secondary to age-related macular degeneration

Two-year outcomes of patients receiving anti-VEGF treatment for neovascular age-related macular degeneration on a treat-and-extend regimen

Fully-automated prediction of anti-VEGF treatment using imaging biomarkers in neovascular age-related macular degeneration

A Comparison: Structural optical coherence tomography and angiography in diabetic retinopathy and diabetic macular edema

Regression patterns of Retinopathy of Prematurity after intravitreal injection of Ranibizumab

Reflectance adaptive optics scanning light ophthalmoscopy of epiretinal membranes

Automatic identification of referral-warranted diabetic retinopathy using deep learning on mobile phone images

Progressive Reductions in Acuity Occur even within the First Three Days After a Macula-Off Retinal Detachment

Micro-RNAs in the pathogenesis of epiretinal membrane (ERM) formation

Beyond Retinal Layers: A Deep Voting Model for Automated Geographic Atrophy Segmentation in SD-OCT Images

A deep learning approach for automatic identification of referral-warranted diabetic retinopathy

Individual Drusen Segmentation and Repeatability and Reproducibility of Their Automated Quantification in Optical Coherence Tomography Images

Automated quantitative analysis of SD-OCT scans to predict visual outcome after epiretinal membrane (ERM) removal surgery

Factors associated with poor response to aflibercept after switching from ranibizumab or bevacizumab in neovascular age-related macular degeneration (AMD)

Fully automated prediction of geographic atrophy growth using quantitative SD-OCT imaging biomarkers

Accuracy, repeatability and reproducibility of a novel approach to quantify individual drusen in spectral-domain optical coherence tomography images

Restricted Summed-Area Projection for Geographic Atrophy Visualization in SD-OCT Images

Visual Prognosis of Eyes Recovering From Macular Hole Surgery Through Automated Quantitative Analysis of Spectral-Domain Optical Coherence Tomography (SD-OCT) Scans

Automated Segmentation and Quantification in SD-OCT Images to Predict Future Geographic Atrophy Involvement

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