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Articles June 2021

Probabilistic Forecasting of Anti-VEGF Treatment Frequency in Neovascular Age-Related Macular Degeneration

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Maximilian Pfau; Soumya Sahu; Rawan Allozi Rupnow; Kathleen Romond; Desiree Millet; Frank G. Holz; Steffen Schmitz-Valckenberg; Monika Fleckenstein; Jennifer I. Lim; Luis de Sisternes; Theodore Leng; Daniel L. Rubin; Joelle A. Hallak
TAGS: anti-vascular endothelial growth factor therapy, exudative age-related macular degeneration, injections, machine learning
Trans. Vis. Sci. Tech.. 2021; 10(7):30. doi: https://doi.org/10.1167/tvst.10.7.30

Includes: Supplemental Content

ARVO Annual Meeting Abstract June 2021

A Multi-Task Deep-Learning System to Classify Diabetic Macular Edema for Different Optical Coherence Tomography Devices: A Multi-Center Analysis

Carol Yim-lui Cheung; Fangyao Tang; Anran Ran; Gavin Siew Wei Tan; Daniel SW Ting; Haoyu Chen; Hongjie Ma; Shibo Tang; Theodore Leng; Schahrouz Kakavand; Suria S Mannil; Robert Chang; Gerald Liew; Bamini Gopinath; Tien Y Wong; Xi Wang

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1033. doi:

ARVO Annual Meeting Abstract June 2021

AAO IRIS Registry data replicates VIEW 1 and VIEW 2 clinical trial outcome data

Theodore Leng; Jason Xu; Ashley Kras; Kevin Wood; Rahul Doriswami; Chhaya Shadra; Aracelis Torres; Charles Li; Flora Lum

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):342. doi:

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

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 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 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:

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

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:

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

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:

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

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:

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Probabilistic Forecasting of Anti-VEGF Treatment Frequency in Neovascular Age-Related Macular Degeneration

A Multi-Task Deep-Learning System to Classify Diabetic Macular Edema for Different Optical Coherence Tomography Devices: A Multi-Center Analysis

AAO IRIS Registry data replicates VIEW 1 and VIEW 2 clinical trial outcome data

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

Regression patterns of Retinopathy of Prematurity after intravitreal injection of Ranibizumab

Reflectance adaptive optics scanning light ophthalmoscopy of epiretinal membranes

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

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

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

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

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

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

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

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

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