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ARVO Annual Meeting Abstract June 2022

Modeling the relationship between VA measured with Snellen and ETDRS standards

Michael Dorr; Yukai Zhao; Luis A Lesmes; Zhong-Lin Lu

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2554 – F0508. doi:

ARVO Annual Meeting Abstract June 2022

Visual acuity screen failures based on Snellen, ETDRS, and qVA Testing

Yukai Zhao; Luis A Lesmes; Michael Dorr; Zhong-Lin Lu

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2556 – F0510. doi:

ARVO Annual Meeting Abstract June 2022

Predicting contrast sensitivity functions with digital twins generated by Hierarchical Bayesian modelling

Zhong-Lin Lu; Yukai Zhao; Luis A Lesmes; Michael Dorr

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2328. doi:

Methods November 2021

Hierarchical Bayesian modeling of contrast sensitivity functions in a within-subject design

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Yukai Zhao; Luis Andres Lesmes; Fang Hou; Zhong-Lin Lu
TAGS: contrast sensitivity, luminance, inference, datasets
Journal of Vision. 2021; 21(12):9. doi: https://doi.org/10.1167/jov.21.12.9

Methods October 2021

Quantifying Uncertainty of the Estimated Visual Acuity Behavioral Function With Hierarchical Bayesian Modeling

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Yukai Zhao; Luis Andres Lesmes; Michael Dorr; Zhong-Lin Lu
TAGS: visual acuity, datasets, goodness of fit
Trans. Vis. Sci. Tech.. 2021; 10(12):18. doi: https://doi.org/10.1167/tvst.10.12.18

Includes: Supplemental Content

ARVO Annual Meeting Abstract June 2021

A Novel Active Learning Contrast Sensitivity Test to Assess Visual Function in Central Serous Chorioretinopathy

Rebecca Zeng; Esther Lee Kim; Merina Thomas; Filippos Vingopoulos; Itika Garg; Eun Young Choi; Ines Lains; Leo A Kim; Luis Andres Lesmes; David N Zacks; John Brown Miller

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):3544. doi:

ARVO Annual Meeting Abstract June 2021

Feasibility of quantitative Visual Acuity analysis for enriching Visual Acuity data collected in retina clinical trials

Raviv Katz; Filippos Vingopoulos; Rohan Bajaj; Luis Andres Lesmes; John Brown Miller

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):502. doi:

ARVO Annual Meeting Abstract June 2021

Hierarchical Bayesian modeling of the contrast sensitivity function

Luis Andres Lesmes; Yukai Zhao; Michael Dorr; Zhong-Lin Lu

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2808. doi:

ARVO Annual Meeting Abstract June 2021

Contrast Sensitivity Function in Non-Neovascular Age-related Macular Degeneration Measured with Active Learning

Filippos Vingopoulos; Neal Patel; Raviv Katz; Itika Garg; Edward S Lu; Ines Lains; Megan Kasetty; Rebecca Silverman; Archana Nigalye; Luis Andres Lesmes; Ivana K Kim; Leo A Kim; Deeba Husain; Joan W Miller; Demetrios G. Vavvas; John Brown Miller

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):328. doi:

ARVO Annual Meeting Abstract June 2021

Hierarchical Bayesian modeling of E-ETDRS and FrACT test data

Zhong-Lin Lu; Yukai Zhao; Luis Andres Lesmes; Michael Dorr

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2821. doi:

ARVO Annual Meeting Abstract June 2021

Contrast Sensitivity Function in Cataract Disease measured with Active Learning

Augustine Bannerman; Megan Kasetty; Filippos Vingopoulos; Itika Garg; Rebecca Silverman; Zhonghui Luo; June Cho; Raviv Katz; Alice Carlyle Lorch; Luis Andres Lesmes; John Brown Miller

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):520. doi:

Methods January 2021

Psychophysical Validation of a Novel Active Learning Approach for Measuring the Visual Acuity Behavioral Function

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Yukai Zhao; Luis Andres Lesmes; Michael Dorr; Peter J. Bex; Zhong-Lin Lu
TAGS: precision, psychometrics, psychophysics, visual acuity, active learning
Trans. Vis. Sci. Tech.. 2021; 10(1):1. doi: https://doi.org/10.1167/tvst.10.1.1

Includes: Supplemental Content

ARVO Annual Meeting Abstract June 2020

Comparing parameters of the contrast sensitivity functions obtained from the qCSF Method

Zhong-Lin Lu; Yukai Zhao; Pan Zhang; Fang Hou; Luis A Lesmes

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4615. doi:

ARVO Annual Meeting Abstract June 2020

Comparing contrast sensitivity at individual spatial frequencies on qCSF data

Yukai Zhao; Pan Zhang; Fang Hou; Luis A Lesmes; Zhong-Lin Lu

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4616. doi:

ARVO Annual Meeting Abstract June 2020

Active Learning of Contrast Sensitivity Functions in Age-Related Macular Degeneration Across Luminance Levels

William C Ou; Luis A Lesmes; Renee A Denlar; Karl G Csaky

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):3011. doi:

Methods December 2019

A novel Bayesian adaptive method for mapping the visual field

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Pengjing Xu; Luis Andres Lesmes; Deyue Yu; Zhong-Lin Lu
TAGS: visual fields, photophobia, vision
Journal of Vision. 2019; 19(14):16. doi: https://doi.org/10.1167/19.14.16

Articles November 2019

Comparing Spatial Contrast Sensitivity Functions Measured With Digit and Grating Stimuli

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Haiyan Zheng; Menglu Shen; Xianghang He; Rong Cui; Luis Andres Lesmes; Zhong-Lin Lu; Fang Hou
TAGS: cerebrospinal fluid analysis, colony-stimulating factors, contrast sensitivity, spatial frequency, precision, reliability, psychometrics
Trans. Vis. Sci. Tech.. 2019; 8(6):16. doi: https://doi.org/10.1167/tvst.8.6.16

ARVO Annual Meeting Abstract July 2019

Unbiased Threshold Estimates in Bayesian Adaptive qCSF and qFC with Mismatched Psychometric Function Slopes

Zhong-Lin Lu; Yukai Zhao; Luis Andres Lesmes; Michael Dorr; Peter Bex

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):3908. doi:

ARVO Annual Meeting Abstract July 2019

Mapping contrast sensitivity of visual field with Bayesian adaptive qVFM method

Pengjing Xu; Luis Andres Lesmes; Deyue Yu; Zhong-Lin Lu

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):4377. doi:

ARVO Annual Meeting Abstract July 2019

Accuracy and Precision of the ETDRS Chart, E-ETDRS and Bayesian qVA Method

Yukai Zhao; Luis Andres Lesmes; Michael Dorr; Peter Bex; Zhong-Lin Lu

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):5908. doi:

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Modeling the relationship between VA measured with Snellen and ETDRS standards

Visual acuity screen failures based on Snellen, ETDRS, and qVA Testing

Predicting contrast sensitivity functions with digital twins generated by Hierarchical Bayesian modelling

Hierarchical Bayesian modeling of contrast sensitivity functions in a within-subject design

Quantifying Uncertainty of the Estimated Visual Acuity Behavioral Function With Hierarchical Bayesian Modeling

A Novel Active Learning Contrast Sensitivity Test to Assess Visual Function in Central Serous Chorioretinopathy

Feasibility of quantitative Visual Acuity analysis for enriching Visual Acuity data collected in retina clinical trials

Hierarchical Bayesian modeling of the contrast sensitivity function

Contrast Sensitivity Function in Non-Neovascular Age-related Macular Degeneration Measured with Active Learning

Hierarchical Bayesian modeling of E-ETDRS and FrACT test data

Contrast Sensitivity Function in Cataract Disease measured with Active Learning

Psychophysical Validation of a Novel Active Learning Approach for Measuring the Visual Acuity Behavioral Function

Comparing parameters of the contrast sensitivity functions obtained from the qCSF Method

Comparing contrast sensitivity at individual spatial frequencies on qCSF data

Active Learning of Contrast Sensitivity Functions in Age-Related Macular Degeneration Across Luminance Levels

A novel Bayesian adaptive method for mapping the visual field

Comparing Spatial Contrast Sensitivity Functions Measured With Digit and Grating Stimuli

Unbiased Threshold Estimates in Bayesian Adaptive qCSF and qFC with Mismatched Psychometric Function Slopes

Mapping contrast sensitivity of visual field with Bayesian adaptive qVFM method

Accuracy and Precision of the ETDRS Chart, E-ETDRS and Bayesian qVA Method

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