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Articles December 2020

A Novel Approach to Quantify Environmental Risk Factors of Myopia: Combination of Wearable Devices and Big Data Science

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Lei Li; Longbo Wen; Weizhong Lan; Haogang Zhu; Zhikuan Yang

Trans. Vis. Sci. Tech.. 2020; 9(13):17. doi: https://doi.org/10.1167/tvst.9.13.17

ARVO Annual Meeting Abstract June 2020

Quality enhancement by generative model in visual field

zhenyu zhang; Haogang Zhu; Lu Wang

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):3878. doi:

ARVO Annual Meeting Abstract June 2020

A neural network based retinal nerve fiber layer profile compensation to improve the discrimination ability of glaucoma in high myopia in population

Ya Xing Wang; Lei Li; Rahul Arvo Jonas; Liang Xu; David F Garwary-Heath; Jost Jonas; Haogang Zhu

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4550. doi:

Articles November 2019

An Objective Comparison of Light Intensity and Near-Visual Tasks Between Rural and Urban School Children in China by a Wearable Device Clouclip

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Longbo Wen; Qian Cheng; Weizhong Lan; Yingpin Cao; Xiaoning Li; Yiqiu Lu; Zhenghua Lin; Lun Pan; Haogang Zhu; Zhikuan Yang
TAGS: china, light intensity, school (environment), school-age child, student, wearable electronic devices, weekend, myopia, light exposure
Trans. Vis. Sci. Tech.. 2019; 8(6):15. doi: https://doi.org/10.1167/tvst.8.6.15

ARVO Annual Meeting Abstract July 2019

Association of myopia progression with visual behavior

Lei Li; Haogang Zhu; Longbo Wen; Zhikuan Yang; Weizhong Lan

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):6454. doi:

ARVO Annual Meeting Abstract July 2019

Compensate systemic variability of parapapillary retinal nerve fiber layer thickness measurement

Haogang Zhu; Lei Li; Yaxing Wang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):4820. doi:

ARVO Annual Meeting Abstract July 2019

Comparison of myopia-related behaviors between rural and urban schoolchildren in China based on Clouclip TM

Longbo Wen; Weizhong Lan; Yingpin Cao; Qian Cheng; Xiang Li; Yan Wu; Lei Li; Haogang Zhu; Zhikuan Yang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):3897. doi:

ARVO Annual Meeting Abstract July 2019

Can an LCD screen be a viable alternative to a projection bowl for clinical perimetry?

Bledi Petriti; Marco A. Miranda; Haogang Zhu; Pádraig J Mulholland; David Crabb; Carol Bronze; Roger Anderson; David F Garway-Heath

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):2487. doi:

ARVO Annual Meeting Abstract July 2019

A new perimetry thresholding algorithm with size-modulated stimuli reduces variability by half in damaged regions of the visual field compared to SITA Standard

David F Garway-Heath; Marco A. Miranda; Haogang Zhu; Pádraig J. Mulholland; Bledi Petriti; Carol Bronze; David P Crabb; Roger Anderson

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):2859. doi:

ARVO Annual Meeting Abstract July 2018

Sharing the visual field dataset by sharing the model

Qian Cheng; Haogang Zhu; David Crabb; David F Garway-Heath

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):5102. doi:

ARVO Annual Meeting Abstract July 2018

Trail Traced Threshold Test (T4) algorithm shows reduced variability compared to the Swedish Interactive Thresholding Algorithm (SITA)

Bledi Petriti; Marco A Miranda; Haogang Zhu; Padraig Mulholland; David Crabb; Carol Bronze; Roger Anderson; David F Garway-Heath

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):5115. doi:

ARVO Annual Meeting Abstract July 2018

The correlation between an objective index summarizing individual environmental risk factors and the change of refractive error

Weizhong Lan; Longbo Wen; Lei Li; Xiang Li; Haogang Zhu; Zhikuan Yang

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):3393. doi:

ARVO Annual Meeting Abstract July 2018

An objective environmental risk factor index related to the development of myopia

Lei Li; Haogang Zhu; Longbo Wen; Weizhong Lan

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):3394. doi:

ARVO Annual Meeting Abstract July 2018

Improved precision and accuracy with trail traced threshold test (T4)

Haogang Zhu; Haolan Yang; David Crabb; Marco Miranda; David F Garway-Heath

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):5114. doi:

ARVO Annual Meeting Abstract July 2018

Increase the classification and expression ability and visualize the decision through a novel deep neural network model for the diagnosis of glaucoma

Jicong Zhang; Hua Wang; Haogang Zhu

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):4079. doi:

ARVO Annual Meeting Abstract June 2017

A transparent deep learning method for diagnosis of early glaucoma with optical coherence tomography

Wenji Wang; Haogang Zhu; Ya Xing Wang; David Garway-Heath

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):4000. doi:

ARVO Annual Meeting Abstract June 2017

Structure–guided ANSWERS: detecting visual field progression with the assistance of spatially-related structural measurement

qian cheng; Haogang Zhu; David Paul Crabb; Paul H Artes; David Garway-Heath

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):4257. doi:

Glaucoma September 2015

More Accurate Modeling of Visual Field Progression in Glaucoma: ANSWERS

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Haogang Zhu; David P. Crabb; Tuan Ho; David F. Garway-Heath
TAGS: false-positive results, glaucoma, visual fields, linear regression
Invest. Ophthalmol. Vis. Sci.. 2015; 56(10):6077-6083. doi: https://doi.org/10.1167/iovs.15-16957

ARVO Annual Meeting Abstract June 2015

Title: UK DR EMR Users Group: Report 1 - real world prevalence and progression data for diabetic retinopathy for 56 211 patients from 20 United Kingdom hospital eye services

Catherine A Egan; Aaron Lee; Haogang Zhu; David Crabb; Adnan Tufail; Robert Johnston; UK DR EMR Users Group

Invest. Ophthalmol. Vis. Sci.. 2015; 56(7 ):1448. doi:

ARVO Annual Meeting Abstract June 2015

The United Kingdom neovascular age-related macular degeneration database: long-term outcomes in ranibizumab treated eyes

Robert Johnston; Adnan Tufail; Aaron Lee; Haogang Zhu; UK Neovascular AMD database study group

Invest. Ophthalmol. Vis. Sci.. 2015; 56(7 ):1653. doi:

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A Novel Approach to Quantify Environmental Risk Factors of Myopia: Combination of Wearable Devices and Big Data Science

Quality enhancement by generative model in visual field

A neural network based retinal nerve fiber layer profile compensation to improve the discrimination ability of glaucoma in high myopia in population

An Objective Comparison of Light Intensity and Near-Visual Tasks Between Rural and Urban School Children in China by a Wearable Device Clouclip

Association of myopia progression with visual behavior

Compensate systemic variability of parapapillary retinal nerve fiber layer thickness measurement

Comparison of myopia-related behaviors between rural and urban schoolchildren in China based on Clouclip TM

Can an LCD screen be a viable alternative to a projection bowl for clinical perimetry?

A new perimetry thresholding algorithm with size-modulated stimuli reduces variability by half in damaged regions of the visual field compared to SITA Standard

Sharing the visual field dataset by sharing the model

Trail Traced Threshold Test (T4) algorithm shows reduced variability compared to the Swedish Interactive Thresholding Algorithm (SITA)

The correlation between an objective index summarizing individual environmental risk factors and the change of refractive error

An objective environmental risk factor index related to the development of myopia

Improved precision and accuracy with trail traced threshold test (T4)

Increase the classification and expression ability and visualize the decision through a novel deep neural network model for the diagnosis of glaucoma

A transparent deep learning method for diagnosis of early glaucoma with optical coherence tomography

Structure–guided ANSWERS: detecting visual field progression with the assistance of spatially-related structural measurement

More Accurate Modeling of Visual Field Progression in Glaucoma: ANSWERS

Title: UK DR EMR Users Group: Report 1 - real world prevalence and progression data for diabetic retinopathy for 56 211 patients from 20 United Kingdom hospital eye services

The United Kingdom neovascular age-related macular degeneration database: long-term outcomes in ranibizumab treated eyes

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