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Articles September 2020

Validation of a New Diabetic Retinopathy Knowledge and Attitudes Questionnaire in People with Diabetic Retinopathy and Diabetic Macular Edema

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Eva K. Fenwick; Ryan E. K. Man; Alfred T. L. Gan; Amudha Aravindhan; Ching Siong Tey; Hasita Jian Tai Soon; Daniel S. W. Ting; San I. Y. Yeo; Shu Yen Lee; Gavin Tan; Tien Y. Wong; Ecosse L. Lamoureux
TAGS: attitude, diabetic macular edema, diabetic retinopathy, interviews, questionnaires
Trans. Vis. Sci. Tech.. 2020; 9(10):32. doi: https://doi.org/10.1167/tvst.9.10.32

Includes: Supplemental Content

ARVO Annual Meeting Abstract June 2020

Artificial Intelligence-Assisted Diabetic Retinopathy Screening Program: A 5-year Bench to Bedside Translational Study

Daniel SW Ting; Valentina Bellemo; Haslina Hamzah; Hon Tym Wong; Colin Tan; Gavin SW Tan; Tien Yin Wong

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):2052. doi:

ARVO Annual Meeting Abstract June 2020

Deep learning for image-based detection of sight- and life-threatening Neuro-Ophthalmic conditions affecting the optic nerve head

Dan Milea; Raymond Najjar; Daniel SW Ting; Caroline Fajoles Vasseneix; Xinxing Xin; Shweta Singhal; Liu Yong; Nancy J Newman; Tien Yin Wong; Valerie Biousse

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4028. doi:

ARVO Annual Meeting Abstract June 2020

'All-in-One' Screening for Pathology-Related Visual Impairment using Artificial Intelligence-Integrated Retinal Imaging.

Yih Chung Tham; Ayesha Anees; Yong Liu; Gabriel Tjio; Tyler Hyungtaek Rim; Simon Nusinovici; Daniel SW Ting; Charumathi Sabanayagam; Paul Mitchell; Jost Jonas; Tien Yin Wong; Ching-Yu Cheng

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):5151. doi:

Special Issue April 2020

Artificial Intelligence to Stratify Severity of Age-Related Macular Degeneration (AMD) and Predict Risk of Progression to Late AMD

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Alauddin Bhuiyan; Tien Yin Wong; Daniel Shu Wei Ting; Arun Govindaiah; Eric H. Souied; R. Theodore Smith
TAGS: age-related macular degeneration, artificial intelligence, datasets, drusen, screening, deep learning, training, trees (plant), demography, color
Trans. Vis. Sci. Tech.. 2020; 9(2):25. doi: https://doi.org/10.1167/tvst.9.2.25

Includes: Supplemental Content

Special Issue April 2020

Health Economic and Safety Considerations for Artificial Intelligence Applications in Diabetic Retinopathy Screening

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Yuchen Xie; Dinesh V. Gunasekeran; Konstantinos Balaskas; Pearse A. Keane; Dawn A. Sim; Lucas M. Bachmann; Carl Macrae; Daniel S. W. Ting
TAGS: safety, screening, health, diabetic retinopathy screening, artificial intelligence, economics
Trans. Vis. Sci. Tech.. 2020; 9(2):22. doi: https://doi.org/10.1167/tvst.9.2.22

Special Issue February 2020

Methodological Challenges of Deep Learning in Optical Coherence Tomography for Retinal Diseases: A Review

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Ryan T. Yanagihara; Cecilia S. Lee; Daniel Shu Wei Ting; Aaron Y. Lee
TAGS: datasets, deep learning, optical coherence tomography, retinal diseases, diagnostic imaging
Trans. Vis. Sci. Tech.. 2020; 9(2):11. doi: https://doi.org/10.1167/tvst.9.2.11

ARVO Annual Meeting Abstract July 2019

Artificial Intelligence Deep Learning System for Predicting Chronic Kidney Disease from Retinal Images

Tien Y Wong; Dejiang Xu; Daniel Ting; Simon Nusinovici; Carol Cheung; Tai E Shyong; Ching-Yu Cheng; Mong Li Lee; Wynne Hsu; Charumathi Sabanayagam

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1468. doi:

ARVO Annual Meeting Abstract July 2019

Estimation of Haemoglobin A1c from Retinal photographs via Deep Learning.

Yih Chung Tham; Yong Liu; Daniel Ting; Gabriel Ci'en Tjio; Ayesha Anees; Gavin Siew Wei Tan; Charumathi Sabanayagam; Rick Goh; Tien Y Wong; Ching-Yu Cheng

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1456. doi:

ARVO Annual Meeting Abstract July 2019

Brain and Optic Nerve Study with Artificial Intelligence (BONSAI)

Dan Milea; Zhubo Jiang; Caroline Vasseneix; Clare Fraser; Philippe Goher; Raymond Najjar; Shweta SInghal; Daniel Ting; Ambika Selvakumar; Jost B Jonas; Nancy Newman; Neil Miller; Yong Liu; Valerie Biousse; Tien Yin Wong

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1476. 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

The Application of Deep Learning System to Screen for Diabetic Retinopathy in an Underprivileged African Population with Diabetes

Valentina Bellemo; Zhan Wei Lim; Gilbert Lim; Quang Nguyen; Michelle Y.T. Yip; Yuchen Xie; Xin Qi Lee; Haslina Hamzah; Jinyi Ho; Gavin Siew Wei Tan; Wynne Hsu; Mong Li Lee; Sobha Sivaprasad; Geeta Menon; Tien Yin Wong; Daniel SW Ting

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1439. doi:

ARVO Annual Meeting Abstract July 2019

Artificial intelligence using a deep learning system with transfer learning to predict refractive error and myopic macular degeneration from color fundus photographs

Tien-En Tan; Daniel SW Ting; Yong Liu; Shaohua Li; Cheng Chen; Quang Nguyen; Chee Wai Wong; Quan V Hoang; Shu Yen Lee; Edmund Yick Mun Wong; Ian Yew San Yeo; Yee Ling Wong; Ching-Yu Cheng; Seang-Mei Saw; Gemmy Chui Ming Cheung; Tien Yin Wong

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1478. doi:

ARVO Annual Meeting Abstract July 2019

Cost-Effectiveness Analysis of an Artificial Intelligence-Assisted Deep Learning System Implemented in the National Tele-Medicine Diabetic Retinopathy Screening in Singapore

Yuchen Xie; Quang Nguyen; Valentina Bellemo; Michelle Y.T. Yip; Xin Qi Lee; Haslina Hamzah; Gilbert Lim; Wynne Hsu; Mong Li Lee; Jie Jin Wang; Ching-Yu Cheng; Eric Andrew Finkelstein; Ecosse Luc Lamoureux; Gavin Siew Wei Tan; Tien Yin Wong; Daniel SW Ting

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):5471. 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:

ARVO Annual Meeting Abstract July 2018

Artificial Intelligence using Deep Learning System for Glaucoma Suspect Detection

Haslina Hamzah; Gilbert Lim; Quang duc nguyen; Baskaran Mani; Wynne Hsu; Mong Li Lee; Ching-Yu Cheng; Tien Y Wong; Daniel Ting

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):4074. doi:

ARVO Annual Meeting Abstract July 2018

Impact of Hypertension on Retinal Microvascular Changes on Optical Coherence Tomographic Angiography

Jacqueline Chua; Jimmy Hong; Calvin Woon Loong Chin; Miao Li Chee; Daniel Ting; Tien Y Wong; Leopold Schmetterer

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):2858. doi:

ARVO Annual Meeting Abstract June 2017

Optical Coherence Tomography Angiography for Evaluation of the Fovea Avascular Zone in Diabetic Retinopathy

Yu-Qiang Soh; Daniel Ting; Tien Wong; Ian Yeo; Gemmy Chui Ming Cheung; Gavin S Tan

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):1673. doi:

ARVO Annual Meeting Abstract June 2017

Preliminary findings on the development of a Head Mounted Device application to improve reading ability in patients with central scotomas

Xian Hui Lim; Arnout Erik Wessels; Daniel Ting; Shengdong Zhao; Anna CS Tan

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):3279. doi:

ARVO Annual Meeting Abstract June 2017

Deep Learning System for Screening of Diabetic Retinopathy, Glaucoma and Age-related Macular Degeneration Using Retinal Photographs: The DEEP EYE Study

Gilbert Lim; Daniel Shu Wei Ting; Carol Yim-lui Cheung; Gavin S Tan; Rina Rudyanto; Alfred Tau Liang Gan; Ching-Yu Cheng; Wynne Hsu; Mong Li Lee; Tien Yin Wong

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):683. doi:

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Validation of a New Diabetic Retinopathy Knowledge and Attitudes Questionnaire in People with Diabetic Retinopathy and Diabetic Macular Edema

Artificial Intelligence-Assisted Diabetic Retinopathy Screening Program: A 5-year Bench to Bedside Translational Study

Deep learning for image-based detection of sight- and life-threatening Neuro-Ophthalmic conditions affecting the optic nerve head

'All-in-One' Screening for Pathology-Related Visual Impairment using Artificial Intelligence-Integrated Retinal Imaging.

Artificial Intelligence to Stratify Severity of Age-Related Macular Degeneration (AMD) and Predict Risk of Progression to Late AMD

Health Economic and Safety Considerations for Artificial Intelligence Applications in Diabetic Retinopathy Screening

Methodological Challenges of Deep Learning in Optical Coherence Tomography for Retinal Diseases: A Review

Artificial Intelligence Deep Learning System for Predicting Chronic Kidney Disease from Retinal Images

Estimation of Haemoglobin A1c from Retinal photographs via Deep Learning.

Brain and Optic Nerve Study with Artificial Intelligence (BONSAI)

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

The Application of Deep Learning System to Screen for Diabetic Retinopathy in an Underprivileged African Population with Diabetes

Artificial intelligence using a deep learning system with transfer learning to predict refractive error and myopic macular degeneration from color fundus photographs

Cost-Effectiveness Analysis of an Artificial Intelligence-Assisted Deep Learning System Implemented in the National Tele-Medicine Diabetic Retinopathy Screening in Singapore

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

Artificial Intelligence using Deep Learning System for Glaucoma Suspect Detection

Impact of Hypertension on Retinal Microvascular Changes on Optical Coherence Tomographic Angiography

Optical Coherence Tomography Angiography for Evaluation of the Fovea Avascular Zone in Diabetic Retinopathy

Preliminary findings on the development of a Head Mounted Device application to improve reading ability in patients with central scotomas

Deep Learning System for Screening of Diabetic Retinopathy, Glaucoma and Age-related Macular Degeneration Using Retinal Photographs: The DEEP EYE Study

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