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ARVO Annual Meeting Abstract June 2022

Federated Deep Learning for Classifying Glaucomatous Optic Neuropathy from Optical Coherence Tomography Volumetric Scans: A Privacy-preserving Multi-national Study

Anran RAN; Xi Wang; Poemen P Chan; Noel C Chan; Oi Man Mandy Wong; Hon-Wah Yung; Robert T. Chang; Suria S. Mannil; Yih Chung Tham; Ching-Yu Cheng; Pheng-Ann Heng; Clement C. Tham; Carol Yim-lui Cheung

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):850. doi:

ARVO Annual Meeting Abstract June 2022

Deep-learning measurement of retinal vessel caliber predicts incident myocardial infarction

Yiu Lun Wong; Marco Yu; Crystal Chong; Tien Yin Wong; Ching Yu Cheng; Carol Yim-lui Cheung

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):177 – F0024. doi:

ARVO Annual Meeting Abstract June 2022

A deep-learning based diabetic macular ischemia classification on OCT-angiography images for predicting diabetic retinopathy progression and diabetic macular oedema development

Dawei Gabriel YANG; Carol Yim-lui Cheung; Anran RAN; Fangyao Tang

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2913 – F0066. doi:

ARVO Annual Meeting Abstract June 2022

Texture-transformer-based deep-learning (DL) network for enhancing image-quality of OCT-angiography images with lower-resolution

Carol Yim-lui Cheung; Hao Chen; Yuyan RUAN; Weiwen Zhang; Dawei Gabriel YANG

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):215 – F0062. doi:

ARVO Annual Meeting Abstract June 2021

Association Between Alzheimer’s Disease and Artificial Intelligence-based Glaucomatous Optic Neuropathy Score

Anran RAN; Christopher L. Chen; Xi Wang; Vincent Mok; Clement C. Tham; Tien Y Wong; Carol Yim-lui Cheung

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2121. doi:

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 2020

Detection of Referable and Vision-threatening Diabetic Retinopathy Using Deep Learning on Ultra-wide Field Scanning Laser Ophthalmoscope Images

Fangyao Tang; Phoomraphee Luenam; Ahmed Abdul Quadeer; Anran RAN; Sobha Sivaprasad; Piyali Sen; Rajiv Raman; Giridhar Anantharaman; Mahesh Gopalakrishnan; Swathy Haridas; Matthew R Mckay; Carol Yim-lui Cheung

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1646. doi:

ARVO Annual Meeting Abstract June 2020

Different effect of optical media opacities on vessel density measured by different optical coherence tomography angiography algorithms

Chen Haoyu; Jingyu Zhang; Fangyao Tang; Carol Yim-lui Cheung

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):5302. doi:

ARVO Imaging in the Eye Conference Abstract August 2019

Quantifying Peripapillary Microvascular Changes with Increasing Severity of Diabetic Retinopathy: An Optical Coherence Tomography Angiography (OCTA) Study

Zihan Sun; Fangyao Tang; Ziqi Tang; Ka Ngai Alex Lam; Raymond Wong; Jerry Lok; Simon Szeto; Siu Chun Danny Ng; Carol, Yim Lui CHEUNG

Invest. Ophthalmol. Vis. Sci.. 2019; 60(11):PB049. doi:

ARVO Imaging in the Eye Conference Abstract August 2019

An Artificial Intelligence Deep Learning System for Discriminating Ungradable Optical Coherence Tomography Three-Dimension Volumetric Scans

anran ran; Amanda, Kwan Yu NGAI; Vivian, Wai Yin CHAN; Jian Shi; Clement, Chee Yung THAM; Carol, Yim Lui CHEUNG

Invest. Ophthalmol. Vis. Sci.. 2019; 60(11):PB097. doi:

ARVO Annual Meeting Abstract July 2019

Do retinal neurovascular changes predict the development of diabetes?

Gavin S Tan; Carol Yim-lui Cheung; Ching-Yu Cheng; Tien Y Wong

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1559. doi:

ARVO Annual Meeting Abstract July 2019

The Relationship of Optical Coherence Tomography Angiography (OCTA) Metrics to Progression of Diabetic Retinopathy: A 2-Year Prospective Study

Zihan Sun; Fangyao Tang; Raymond Wong; K.H. Jerry Lok; Ka Ho Simon Szeto; Jason Chung Kit Chan; Siu Chun Danny Ng; Carol Yim-lui Cheung

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):3283. doi:

ARVO Annual Meeting Abstract July 2019

Effect of Image Compression and Number of Fields on a Deep Learning System for Detection of Diabetic Retinopathy

Michelle Y.T. Yip; Gilbert Lim; Valentina Bellemo; Yuchen Xie; Xin Qi Lee; Quang Nguyen; Haslina Hamzah; Jinyi Ho; Charumathi Sabanayagam; Carol Yim-lui Cheung; Gavin Siew Wei Tan; Wynne Hsu; Mong Li Lee; Tien Yin Wong; Daniel SW Ting

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1438. doi:

ARVO Annual Meeting Abstract July 2019

Smartphone-based Retinal Imaging to Characterize Early Functional Retinal Vascular Changes in Diabetic Retinopathy

Carol Yim-lui Cheung; Yu Meng Wang; John H K Liu; Kenny H W Lai; Robert Chang; Tien Yin Wong

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):4800. doi:

ARVO Annual Meeting Abstract July 2019

A 3D Deep Learning System for Detecting Glaucomatous Optic Neuropathy from Volumetric and En Face Optical Coherence Tomography Scans

Anran RAN; Xi Wang; Luyang Luo; Poemen Chan; Robert Chang; Suria Sudhakaran Mannil; Hao Chen; Pheng-Ann Heng; Clement C Y Tham; Carol Yim-lui Cheung

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):5571. doi:

ARVO Annual Meeting Abstract July 2019

Systemic risk factors, diabetic retinopathy and structural changes on OCT in a diabetic cohort

Claire Lixian Wong; Carol Yim-lui Cheung; Tien Yin Wong; Ecosse Luc Lamoureux; Gavin S Tan

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1901. doi:

ARVO Annual Meeting Abstract July 2019

A Multi-device, Multi-ethnicity Deep Learning Algorithm to Detect Glaucoma from A Single Optical Coherence Tomography Scan of the Optic Nerve Head

Liang Zhang; Sripad Krishna Devalla; Ching-Yu Cheng; Dan Milea; Monisha Esther Nongpiur; Baskaran Mani; Mitchell Lawlor; Mukharram Bikbov; Carol Yim-lui Cheung; Ya Xing Wang; Xiulan Zhang; Aiste Kadziauskiene; Tin Aung; Alexandre Thiery; Michael J A Girard

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):2207. doi:

ARVO Annual Meeting Abstract July 2018

Quantitative Optical Coherence Tomography Angiography Metrics Predict Diabetic Macular Edema

Carol Yim-lui Cheung; Zihan Sun; Fangyao Tang; Raymond Wong; Carmen Chan; Shaheeda Mohamed; Clement C Y Tham; Marten Erik Brelen; Li Jia Chen; Danny Ng

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):4840. doi:

ARVO Annual Meeting Abstract July 2018

Novel analysis of macular RNFL thickness in Alzheimer’s disease using OCT and point-wise functional shapes (FShape) registration

Sieun Lee; Carol Yim-lui Cheung; Christopher Chen; Tien Y Wong; Marinko Sarunic; Mirza Beg

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):2181. doi:

ARVO Annual Meeting Abstract July 2018

Classic Risk Factors for Diabetic Retinopathy: Deep Learning versus Human Graders

Daniel Ting; Ching-Yu Cheng; Carol Yim-lui Cheung; Gilbert Lim; Gavin Tan; Wynne Hsu; Mong Li Lee; Tien Yin Wong

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):1706. doi:

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Federated Deep Learning for Classifying Glaucomatous Optic Neuropathy from Optical Coherence Tomography Volumetric Scans: A Privacy-preserving Multi-national Study

Deep-learning measurement of retinal vessel caliber predicts incident myocardial infarction

A deep-learning based diabetic macular ischemia classification on OCT-angiography images for predicting diabetic retinopathy progression and diabetic macular oedema development

Texture-transformer-based deep-learning (DL) network for enhancing image-quality of OCT-angiography images with lower-resolution

Association Between Alzheimer’s Disease and Artificial Intelligence-based Glaucomatous Optic Neuropathy Score

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

Detection of Referable and Vision-threatening Diabetic Retinopathy Using Deep Learning on Ultra-wide Field Scanning Laser Ophthalmoscope Images

Different effect of optical media opacities on vessel density measured by different optical coherence tomography angiography algorithms

Quantifying Peripapillary Microvascular Changes with Increasing Severity of Diabetic Retinopathy: An Optical Coherence Tomography Angiography (OCTA) Study

An Artificial Intelligence Deep Learning System for Discriminating Ungradable Optical Coherence Tomography Three-Dimension Volumetric Scans

Do retinal neurovascular changes predict the development of diabetes?

The Relationship of Optical Coherence Tomography Angiography (OCTA) Metrics to Progression of Diabetic Retinopathy: A 2-Year Prospective Study

Effect of Image Compression and Number of Fields on a Deep Learning System for Detection of Diabetic Retinopathy

Smartphone-based Retinal Imaging to Characterize Early Functional Retinal Vascular Changes in Diabetic Retinopathy

A 3D Deep Learning System for Detecting Glaucomatous Optic Neuropathy from Volumetric and En Face Optical Coherence Tomography Scans

Systemic risk factors, diabetic retinopathy and structural changes on OCT in a diabetic cohort

A Multi-device, Multi-ethnicity Deep Learning Algorithm to Detect Glaucoma from A Single Optical Coherence Tomography Scan of the Optic Nerve Head

Quantitative Optical Coherence Tomography Angiography Metrics Predict Diabetic Macular Edema

Novel analysis of macular RNFL thickness in Alzheimer’s disease using OCT and point-wise functional shapes (FShape) registration

Classic Risk Factors for Diabetic Retinopathy: Deep Learning versus Human Graders

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