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ARVO Annual Meeting Abstract June 2023

Federated Machine Learning in Medical imaging and against Adversarial Attacks: A retrospective multicohort study

Zhen Ling Teo; Xiaoman Zhang; Ting Fang Tan; Narrendar Ravichandran; Liu Yong; Daniel SW Ting

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):546.

ARVO Annual Meeting Abstract June 2023

Deep learning algorithms for detection of diabetic macular edema requiring treatment from color fundus photographs

Tien-En Tan; Yi Pin Ng; Claire Calhoun; Xinxing Xu; Liu Yong; Rick SM Goh; Gavin Tan; Jennifer K Sun; Daniel SW Ting

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):2648.

ARVO Annual Meeting Abstract June 2023

Developing continual learning based optical coherence tomography deep learning model for retinal pathologies

Liyuan Jin; Tanvi Verma; Jun Zhou; Jia Huang; Mingrui Tan; Benjamin Chen Ming Choong; Xinxing Xu; Liu Yong; Nan Liu; Daniel SW Ting

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):3370.

ARVO Annual Meeting Abstract June 2023

Cross-modality optical coherence tomography image enhancement using deep learning

Valentina Bellemo; Ankit Kumar; Damon Wong; Jacqueline Chua; Xinxing Xu; Xinyu Liu; Liu Yong; Leopold Schmetterer

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):235.

ARVO Annual Meeting Abstract June 2023

Prediction of future cardiovascular diseases from retinal images using a deep-learning-based hybrid model

Qingsheng Peng; Yiming Qian; Xinxing Xu; Yih Chung Tham; Marco Yu; Liu Yong; Ching-Yu Cheng

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):1876.

Cornea & External Disease September 2022

Carbon Nanostructures for Ocular Tissue Reinforcement

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Joaquin Silvestre; Shihao Chen; Zheng Zheng; Alfredo Vega; Tong Chen; Francisco Rodríguez-Reinoso; Pin Zhu; Shuang Zeng; Yaru Zheng; Fangjun Bao; Yong Liu; Jorge L. Alió
TAGS: carbon, cornea, nanostructures, body tissue, ophthalmology, reinforcement, nanotechnology
Trans. Vis. Sci. Tech.. 2022; 11(9):1. https://doi.org/10.1167/tvst.11.9.1

Includes: Supplemental Content

ARVO Annual Meeting Abstract June 2022

Intelligent Quantification of Retinal Ganglion Cells in the Entire Mouse Retina Based on Improved YOLOv5

Houbin Zhang; Jing Zhang; Yibo Huo; Jialiang Yang; Xiangzhou Wang; Boyun Yan; Xiaohui Du; Fang Yang; Juanxiu Liu; Lin Liu; Yong Liu

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2034 – A0475.

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.

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.

ARVO Annual Meeting Abstract June 2020

Peripheral refraction performance of a myopia control aspheric multifocal contact lens

Durgasri Jaisankar; Marwan Suheimat; Pete S Kollbaum; Mateusz Tomasz Jaskulski; Paul Gifford; Yongji Liu; David A. Atchison

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):556.

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.

ARVO Annual Meeting Abstract July 2019

Layer-by-layer assembly for steering the survival and immunogenicity of RPE cells In Vitro and In Vivo

Nan Wu; Liyan Ru; Yong Liu

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1924.

ARVO Annual Meeting Abstract July 2019

Safety of autologous bone marrow mesenchymal stem cells subretinal transplantation in diabetic retinopathy patients

Yong Liu; Qing Ling Liang; Zheng Qin Yin

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):3931.

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.

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.

ARVO Annual Meeting Abstract July 2018

Mertk Signaling is Important for Transport of Glucose from the RPE to Photoreceptors

Lei Jin; Wei Wang; Yongqing Liu; Henry J Kaplan; Douglas C. Dean

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):4011.

Genetics August 2017

A Novel Potentially Causative Variant of NDUFAF7 Revealed by Mutation Screening in a Chinese Family With Pathologic Myopia

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Baojiang Wang; Yongli Liu; Shiguo Chen; Yunmiao Wu; Sheng Lin; Yongheng Duan; Kaifeng Zheng; Linghua Zhang; Xueying Gu; Wenxu Hong; Hao Shao; Xuchun Zeng; Bi Sun; Shan Duan
TAGS: family, mutation, myopic macular degeneration, screening, chinese (other dialects), chinese people
Invest. Ophthalmol. Vis. Sci.. 2017; 58(10):4182-4192. https://doi.org/10.1167/iovs.16-20941

Includes: Supplemental Content

ARVO Annual Meeting Abstract September 2016

Clincal trial: subretinal transplantation of CTS hESC derived RPE in the treatment of wet Age-related Macular Degeneration (wAMD)

Zheng Qin Yin; Yong Liu; Shiying Li; Hai Wei Xu; Yi Wang; Chen Qian; Qi Zhou

Invest. Ophthalmol. Vis. Sci.. 2016; 57(12):3742.

ARVO Annual Meeting Abstract September 2016

ZEB1 targets multiple malignancy-related components to promote uveal melanoma cell dedifferentiation, proliferation, invasion, and metastasis

Yao Chen; Xiaoqin Lu; Diego E. Montoya Durango; Douglas S. Darling; Ling Gao; Yongqing Liu; Douglas C. Dean

Invest. Ophthalmol. Vis. Sci.. 2016; 57(12):4116.

Vision Sciences Society Annual Meeting Abstract September 2015

Distinguishing the roles of color and other surface properties in rapid natural scene categorization: Evidence from ERPs

Qiufang Fu; Xiaoyan Zhou; Zoltan Dienes; Yongjin Liu; Xiaolan Fu

Journal of Vision. 2015; 15(12):347. https://doi.org/10.1167/15.12.347

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Federated Machine Learning in Medical imaging and against Adversarial Attacks: A retrospective multicohort study

Deep learning algorithms for detection of diabetic macular edema requiring treatment from color fundus photographs

Developing continual learning based optical coherence tomography deep learning model for retinal pathologies

Cross-modality optical coherence tomography image enhancement using deep learning

Prediction of future cardiovascular diseases from retinal images using a deep-learning-based hybrid model

Carbon Nanostructures for Ocular Tissue Reinforcement

Intelligent Quantification of Retinal Ganglion Cells in the Entire Mouse Retina Based on Improved YOLOv5

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

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

Peripheral refraction performance of a myopia control aspheric multifocal contact lens

Estimation of Haemoglobin A1c from Retinal photographs via Deep Learning.

Layer-by-layer assembly for steering the survival and immunogenicity of RPE cells In Vitro and In Vivo

Safety of autologous bone marrow mesenchymal stem cells subretinal transplantation in diabetic retinopathy patients

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

Brain and Optic Nerve Study with Artificial Intelligence (BONSAI)

Mertk Signaling is Important for Transport of Glucose from the RPE to Photoreceptors

A Novel Potentially Causative Variant of NDUFAF7 Revealed by Mutation Screening in a Chinese Family With Pathologic Myopia

Clincal trial: subretinal transplantation of CTS hESC derived RPE in the treatment of wet Age-related Macular Degeneration (wAMD)

ZEB1 targets multiple malignancy-related components to promote uveal melanoma cell dedifferentiation, proliferation, invasion, and metastasis

Distinguishing the roles of color and other surface properties in rapid natural scene categorization: Evidence from ERPs

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