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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 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 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: glaucoma, visual fields, false-positive results, linear regression, datasets
Invest. Ophthalmol. Vis. Sci.. 2015; 56(10):6077-6083. doi: 10.1167/iovs.15-16957

ARVO Annual Meeting Abstract June 2015

The United Kingdom Diabetic Retinopathy Electronic Medical Record (UK DR EMR) Users Group:Report 2 - real world data for diabetic macular edema and impact of cataract surgery from 20 United Kingdom hospital eye services

Alastair K Denniston; Haogang Zhu; Aaron Lee; David Paul Crabb; Adnan Tufail; Catherine A Egan; Robert Johnston; United Kingdom Diabetic Retinopathy Electronic Medical Record (UK DR EMR) Users Group

Invest. Ophthalmol. Vis. Sci.. 2015; 56(7 ):2019. doi:

ARVO Annual Meeting Abstract June 2015

Imaging improves the accuracy of visual field progression analysis in glaucoma: structure-guided ANSWERS

David F Garway-Heath; Haogang Zhu; David Paul Crabb; UKGTS Investigators

Invest. Ophthalmol. Vis. Sci.. 2015; 56(7 ):2058. doi:

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:

ARVO Annual Meeting Abstract April 2014

Intraocular pressure (IOP) measured with the Ocular Response Analyzer is a better predictor of glaucoma progression than Goldmann IOP in the United Kingdom Glaucoma Treatment Study (UKGTS).

Gerassimos Lascaratos; David F Garway-Heath; Richard A Russell; David Paul Crabb; Haogang Zhu; Cornelia Hirn; Aachal Kotecha; Katsuyoshi Suzuki; UKGTS Investigators

Invest. Ophthalmol. Vis. Sci.. 2014; 55(13):128. doi:

ARVO Annual Meeting Abstract April 2014

Observation periods of 1 year for clinical trials of neuroprotective agents in glaucoma are feasible

David F Garway-Heath; Haogang Zhu; David Paul Crabb; UKGTS Investigators

Invest. Ophthalmol. Vis. Sci.. 2014; 55(13):3550. doi:

ARVO Annual Meeting Abstract April 2014

More accurate modelling of visual field progression in glaucoma: ANSWERS

Haogang Zhu; David Paul Crabb; David F Garway-Heath; UKGTS Investigators

Invest. Ophthalmol. Vis. Sci.. 2014; 55(13):5628. doi:

ARVO Annual Meeting Abstract April 2014

Detecting vision loss in glaucoma using eye movement scanpaths recorded during free viewing of movies - a proof of principle study

Nicholas David Smith; Haogang Zhu; David Paul Crabb

Invest. Ophthalmol. Vis. Sci.. 2014; 55(13):5637. doi:

Glaucoma September 2013

The Influence of Intersubject Variability in Ocular Anatomical Variables on the Mapping of Retinal Locations to the Retinal Nerve Fiber Layer and Optic Nerve Head

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Julia Lamparter; Richard A. Russell; Haogang Zhu; Ryo Asaoka; Takehiro Yamashita; Tuan Ho; David F. Garway-Heath
TAGS: optic disk, visual fields, retinal nerve fiber layer
Invest. Ophthalmol. Vis. Sci.. 2013; 54(9):6074-6082. doi: 10.1167/iovs.13-11902

ARVO Annual Meeting Abstract June 2013

Mitochondrial membrane potential, as a measure of mitochondrial function, in patients with normal tension glaucoma vs ocular hypertension

Gerassimos Lascaratos; David Chau; Haogang Zhu; Anthony Schapira; David Garway-Heath

Invest. Ophthalmol. Vis. Sci.. 2013; 54(15):1604. doi:

ARVO Annual Meeting Abstract March 2012

Improved Prediction Of Function From Structure In Glaucoma: Handling Visual Field Variability

Haogang Zhu; David P. Crabb; David F. Garway-Heath

Invest. Ophthalmol. Vis. Sci.. 2012; 53(14):701. doi:

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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

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)

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

The United Kingdom Diabetic Retinopathy Electronic Medical Record (UK DR EMR) Users Group:Report 2 - real world data for diabetic macular edema and impact of cataract surgery from 20 United Kingdom hospital eye services

Imaging improves the accuracy of visual field progression analysis in glaucoma: structure-guided 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

Intraocular pressure (IOP) measured with the Ocular Response Analyzer is a better predictor of glaucoma progression than Goldmann IOP in the United Kingdom Glaucoma Treatment Study (UKGTS).

Observation periods of 1 year for clinical trials of neuroprotective agents in glaucoma are feasible

More accurate modelling of visual field progression in glaucoma: ANSWERS

Detecting vision loss in glaucoma using eye movement scanpaths recorded during free viewing of movies - a proof of principle study

The Influence of Intersubject Variability in Ocular Anatomical Variables on the Mapping of Retinal Locations to the Retinal Nerve Fiber Layer and Optic Nerve Head

Mitochondrial membrane potential, as a measure of mitochondrial function, in patients with normal tension glaucoma vs ocular hypertension

Improved Prediction Of Function From Structure In Glaucoma: Handling Visual Field Variability

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