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ARVO Annual Meeting Abstract June 2024

Estimating visual acuity with habitual correction in clinical practice settings from fundus photos using artificial intelligence in eyes with diabetic macular edema

Ashley Zhou; Zhuolin Li; Jun Kong; William Paul; Philippe Burlina; Rohita Mocharla; Neil Joshi; Sophie Gu; Onnisa Nanegrungsunk; Susan B Bressler; Cindy Xinji Cai; Alvin Liu; Hadi Moini; Farshid Sepehrband; Neil M Bressler

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2356.

ARVO Annual Meeting Abstract June 2024

Predicting 48-month survival status in patients with uveal melanoma using deep learning

Anna Kolchinski; Haomin Chen; Mathias Unberath; Zelia Maria Correa; Alvin Liu

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2238.

ARVO Annual Meeting Abstract June 2024

Comparison of machine learning models to predict non-adherence to annual diabetic eye disease testing using clinical variables from electronic health records at an integrated healthcare system

Jane Huang; Ahmed Sabit; Jiangxia Wang; Alvin Liu

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):3765.

ARVO Annual Meeting Abstract June 2024

Artificial intelligence analysis of baseline fundus photos to predict effects of aflibercept treatment on best-corrected visual acuity

Jun Kong; William Paul; Rohita Mocharla; Neil Joshi; Ashley Zhou; Zhuolin Li; Sophie Gu; Onnisa Nanegrungsunk; Susan B Bressler; Cindy Xinji Cai; Alvin Liu; Hadi Moini; Farshid Sepehrband; Neil M Bressler

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):3767.

ARVO Annual Meeting Abstract June 2023

Prediction of imminent conversion to neovascular age-related macular degeneration using deep learning and optical coherence tomography images

T. Y. Alvin Liu; Yuxuan Liu; Craig Jones

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):271.

ARVO Annual Meeting Abstract June 2023

Autonomous artificial intelligence (AI) increases health equity for patients who are more at risk for poor visual outcomes due to diabetic eye disease (DED)

Ariel Leong; Jiangxia Wang; Risa Wolf; Roomasa Channa; Michael David Abramoff; Harold Lehmann; T. Y. Alvin Liu

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):243.

ARVO Annual Meeting Abstract June 2023

Autonomous artificial intelligence exams are associated with higher adherence to diabetic retinopathy testing in an integrated healthcare system

Jane Huang; Jiangxia Wang; Roomasa Channa; Risa Wolf; Michael David Abramoff; T. Y. Alvin Liu

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):212.

ARVO Annual Meeting Abstract June 2023

Long-Term Outcomes of Patients with Neovascular Age-Related Macular Degeneration Receiving Anti-Vascular Endothelial Growth Factor Treatment: Data from a Single Tertiary Center

Anam Akhlaq; Neslihan Dilruba Koseoglu; Yuxuan Liu; Kareef Ullah; Yujie Zhao; Madeleine S Gastonguay; T. Y. Alvin Liu

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):2207.

Artificial Intelligence January 2023

Deep Learning Model for Static Ocular Torsion Detection Using Synthetically Generated Fundus Images

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Chen Wang; Yunong Bai; Ashley Tsang; Yuhan Bian; Yifan Gou; Yan X. Lin; Matthew Zhao; Tony Y. Wei; Jacob M. Desman; Casey Overby Taylor; Joseph L. Greenstein; Jorge Otero-Millan; Tin Yan Alvin Liu; Amir Kheradmand; David S. Zee; Kemar E. Green
TAGS: datasets, deep learning, musculoskeletal torsion, function, torsion
Trans. Vis. Sci. Tech.. 2023; 12(1):17. https://doi.org/10.1167/tvst.12.1.17

ARVO Annual Meeting Abstract June 2022

Ophthalmic surgical procedures in patients with inherited retinal dystrophy

Lukas Mees; Mingyi Li; Alvin Liu; Adela Wu; Xiangrong Kong; Mandeep S Singh

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):142 – A0322.

ARVO Annual Meeting Abstract June 2022

Global Current Practice Patterns for the Management of Traumatic Optic Neuropathy and Orbital Floor Fractures

Sarah Miller; Ankoor Shah; Michael Joseph Fliotsos; Prajna Meeralakshmi; Grant Justin; Yoshihiro Yonekawa; Ariel Chen; Annette K Hoskin; Richard J Blanch; Kara Cavuoto; Rebecca Low; Matthew Gardiner; Alvin Liu; James Auran; Rupesh Vijay Agrawal; Fasika Woreta

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):705 – F0230.

ARVO Annual Meeting Abstract June 2022

Diagnostic Accuracy of Trained Image Graders in Screening for Retinopathy Among Youth with Diabetes

Philip Zhou; Loaah Eltemsah; Mozhdeh Bahrainian; Alvin Liu; Laura Prichett; Risa Wolf; Roomasa Channa

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2166 – F0229.

ARVO Annual Meeting Abstract June 2022

Predictors for Non-Diagnostic Images in Real World Deployment of Artificial Intelligence Assisted Diabetic Retinopathy Screening

Benjamin L Shou; Kesavan Venkatesh; Chang Chen; Ronel Ghidey; Tim Lee; Jiangxia Wang; Alvin Liu

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):1157.

ARVO Annual Meeting Abstract June 2021

Retinal Characteristics in Eyes with Pathologic Myopia Among Individuals Self-Identifying Race as Black

Ashley Zhou; Onnisa Nanegrungsunk; Susan B Bressler; T. Y. Alvin Liu; Mira Sachdeva; Adrienne Scott; Adam Wenick; Neil M Bressler

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2320.

ARVO Annual Meeting Abstract June 2021

Tele-Ophthalmology Screening for Sickle Cell Retinopathy Using Ultra-Widefield Fundus Photography

Ishrat Ahmed; Tejus Pradeep; Morton Goldberg; Alvin Liu; Ahimsa Aradhya; Manuela Montana; Natalie Photiadis; Elizabeth Williams; Brantley Smith; Sophie Lanzkron; Adrienne Scott

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1931.

ARVO Annual Meeting Abstract July 2018

The Association of Venous Malformations of Retina and Brain

Giulia Corradetti; Francesco Pichi; K Bailey Freund; Antonio Ciardella; Emad Abboud; Nicola Ghazi; Christine Dackiw; Netan Choudhry; Eduardo Cunha-Souza; Leonardo Provetti Cunha; J Fernando Arevalo; Tin Yan Alvin Liu; Adam Wenick; Guadalupe Villarreal jr; Lingmin He; David Sarraf

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):5974.

ARVO Annual Meeting Abstract July 2018

The Diagnostic Utility of Ultrasound in the Management of Severe Corneal Ulcers and Non-infectious Corneal Melt

Narine Viruni; Tin Yan Alvin Liu; Sarah Wang; Alice Yang Zhang; James T Handa

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):4672.

ARVO Annual Meeting Abstract September 2016

Increased Frequency of Topical Steroids Provides Benefit in Treatment of Postsurgical Cystoid Macular Edema

Saleema A. Kherani; Yong S. Han; Gulnar Hafiz; Claudia Krispel; Tin Yan Alvin Liu; Tahreem Aman Mir; Peter A Campochiaro

Invest. Ophthalmol. Vis. Sci.. 2016; 57(12):4175.

ARVO Annual Meeting Abstract September 2016

Patient-reported visual function in central serous retinopathy

Tin Yan Alvin Liu; Pooja Mehta; Neil M Bressler

Invest. Ophthalmol. Vis. Sci.. 2016; 57(12):5607.

Vision Sciences Society Annual Meeting Abstract August 2014

Visual evoked potentials in response to biological and non-biological agents

Burcu A Urgen; Wayne Khoe; Alvin Li; Ayse P Saygin

Journal of Vision. 2014; 14(10):1010. https://doi.org/10.1167/14.10.1010

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Estimating visual acuity with habitual correction in clinical practice settings from fundus photos using artificial intelligence in eyes with diabetic macular edema

Predicting 48-month survival status in patients with uveal melanoma using deep learning

Comparison of machine learning models to predict non-adherence to annual diabetic eye disease testing using clinical variables from electronic health records at an integrated healthcare system

Artificial intelligence analysis of baseline fundus photos to predict effects of aflibercept treatment on best-corrected visual acuity

Prediction of imminent conversion to neovascular age-related macular degeneration using deep learning and optical coherence tomography images

Autonomous artificial intelligence (AI) increases health equity for patients who are more at risk for poor visual outcomes due to diabetic eye disease (DED)

Autonomous artificial intelligence exams are associated with higher adherence to diabetic retinopathy testing in an integrated healthcare system

Long-Term Outcomes of Patients with Neovascular Age-Related Macular Degeneration Receiving Anti-Vascular Endothelial Growth Factor Treatment: Data from a Single Tertiary Center

Deep Learning Model for Static Ocular Torsion Detection Using Synthetically Generated Fundus Images

Ophthalmic surgical procedures in patients with inherited retinal dystrophy

Global Current Practice Patterns for the Management of Traumatic Optic Neuropathy and Orbital Floor Fractures

Diagnostic Accuracy of Trained Image Graders in Screening for Retinopathy Among Youth with Diabetes

Predictors for Non-Diagnostic Images in Real World Deployment of Artificial Intelligence Assisted Diabetic Retinopathy Screening

Retinal Characteristics in Eyes with Pathologic Myopia Among Individuals Self-Identifying Race as Black

Tele-Ophthalmology Screening for Sickle Cell Retinopathy Using Ultra-Widefield Fundus Photography

The Association of Venous Malformations of Retina and Brain

The Diagnostic Utility of Ultrasound in the Management of Severe Corneal Ulcers and Non-infectious Corneal Melt

Increased Frequency of Topical Steroids Provides Benefit in Treatment of Postsurgical Cystoid Macular Edema

Patient-reported visual function in central serous retinopathy

Visual evoked potentials in response to biological and non-biological agents

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