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Smartphone-Based, Artificial Intelligence–Enabled Diabetic Retinopathy Screening
Smartphone-Based, Artificial Intelligence–Enabled Diabetic Retinopathy Screening
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Smartphone-Based, Artificial Intelligence–Enabled Diabetic Retinopathy Screening

Liu, T. Y. Alvin

Archives of ophthalmology (1960), 2019-10, Vol.137 (10), p.1188-1189 [Periódico revisado por pares]

United States: American Medical Association

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2
Association of Macular and Peripheral Retinal Macro-Pseudocysts With Chronic Retinal Detachment
Association of Macular and Peripheral Retinal Macro-Pseudocysts With Chronic Retinal Detachment
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Association of Macular and Peripheral Retinal Macro-Pseudocysts With Chronic Retinal Detachment

Liu, T. Y. Alvin ; Vizcaino, M. Adelita ; Eberhart, Charles G ; Sachdeva, Mira M

JAMA ophthalmology, 2018-08, Vol.136 (8), p.956-958 [Periódico revisado por pares]

United States: American Medical Association

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3
Self-Supervised Deep Learning-The Next Frontier
Self-Supervised Deep Learning-The Next Frontier
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Self-Supervised Deep Learning-The Next Frontier

Liu, T Y Alvin ; Koseoglu, Neslihan Dilruba ; Jones, Craig

Archives of ophthalmology (1960), 2024-03, Vol.142 (3), p.234-234 [Periódico revisado por pares]

United States: American Medical Association

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4
Assessment of Deep Generative Models for High-Resolution Synthetic Retinal Image Generation of Age-Related Macular Degeneration
Assessment of Deep Generative Models for High-Resolution Synthetic Retinal Image Generation of Age-Related Macular Degeneration
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Assessment of Deep Generative Models for High-Resolution Synthetic Retinal Image Generation of Age-Related Macular Degeneration

Burlina, Philippe M ; Joshi, Neil ; Pacheco, Katia D ; Liu, T. Y. Alvin ; Bressler, Neil M

Archives of ophthalmology (1960), 2019-03, Vol.137 (3), p.258-264 [Periódico revisado por pares]

United States: American Medical Association

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5
Detecting Anomalies in Retinal Diseases Using Generative, Discriminative, and Self-supervised Deep Learning
Detecting Anomalies in Retinal Diseases Using Generative, Discriminative, and Self-supervised Deep Learning
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Detecting Anomalies in Retinal Diseases Using Generative, Discriminative, and Self-supervised Deep Learning

Burlina, Philippe ; Paul, William ; Liu, T. Y. Alvin ; Bressler, Neil M

Archives of ophthalmology (1960), 2022-02, Vol.140 (2), p.185-189 [Periódico revisado por pares]

United States: American Medical Association

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6
Optical Coherence Tomography Angiography, Artificial Intelligence, and the Missing Capillaries
Optical Coherence Tomography Angiography, Artificial Intelligence, and the Missing Capillaries
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Optical Coherence Tomography Angiography, Artificial Intelligence, and the Missing Capillaries

Kashani, Amir H ; Liu, T. Y. Alvin ; Jones, Craig

Archives of ophthalmology (1960), 2023-07, Vol.141 (7), p.649-650 [Periódico revisado por pares]

United States: American Medical Association

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7
Racial/Ethnic Disparities and Barriers to Diabetic Retinopathy Screening in Youths
Racial/Ethnic Disparities and Barriers to Diabetic Retinopathy Screening in Youths
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Racial/Ethnic Disparities and Barriers to Diabetic Retinopathy Screening in Youths

Thomas, Chrystal G ; Channa, Roomasa ; Prichett, Laura ; Liu, T. Y. Alvin ; Abramoff, Michael D ; Wolf, Risa M

Archives of ophthalmology (1960), 2021-07, Vol.139 (7), p.791-795 [Periódico revisado por pares]

United States: American Medical Association

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8
Evolution of Ellipsoid Zone Abnormalities on Optical Coherence Tomography Associated With Niacin Maculopathy
Evolution of Ellipsoid Zone Abnormalities on Optical Coherence Tomography Associated With Niacin Maculopathy
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Evolution of Ellipsoid Zone Abnormalities on Optical Coherence Tomography Associated With Niacin Maculopathy

Cai, Sophie ; Liu, T. Y. Alvin ; Arevalo, J. Fernando

Archives of ophthalmology (1960), 2019-07, Vol.137 (7), p.849-851 [Periódico revisado por pares]

United States: American Medical Association

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9
Accuracy of Artificial Intelligence in Estimating Best-Corrected Visual Acuity From Fundus Photographs in Eyes With Diabetic Macular Edema
Accuracy of Artificial Intelligence in Estimating Best-Corrected Visual Acuity From Fundus Photographs in Eyes With Diabetic Macular Edema
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Accuracy of Artificial Intelligence in Estimating Best-Corrected Visual Acuity From Fundus Photographs in Eyes With Diabetic Macular Edema

Paul, William ; Burlina, Philippe ; Mocharla, Rohita ; Joshi, Neil ; Li, Zhuolin ; Gu, Sophie ; Nanegrungsunk, Onnisa ; Lin, Kira ; Bressler, Susan B ; Cai, Cindy X ; Kong, Jun ; Liu, T. Y. Alvin ; Moini, Hadi ; Du, Weiming ; Amer, Fouad ; Chu, Karen ; Vitti, Robert ; Sepehrband, Farshid ; Bressler, Neil M

Archives of ophthalmology (1960), 2023-07, Vol.141 (7), p.677-685 [Periódico revisado por pares]

United States: American Medical Association

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10
Congenital Retinal Macrovessel and the Association of Retinal Venous Malformations With Venous Malformations of the Brain
Congenital Retinal Macrovessel and the Association of Retinal Venous Malformations With Venous Malformations of the Brain
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Congenital Retinal Macrovessel and the Association of Retinal Venous Malformations With Venous Malformations of the Brain

Pichi, Francesco ; Freund, K. Bailey ; Ciardella, Antonio ; Morara, Mariachiara ; Abboud, Emad B ; Ghazi, Nicola ; Dackiw, Christine ; Choudhry, Netan ; Souza, Eduardo Cunha ; Cunha, Leonardo Provetti ; Arevalo, J. Fernando ; Liu, T. Y. Alvin ; Wenick, Adam ; He, Lingmin ; Villarreal, Guadalupe ; Neri, Piergiorgio ; Sarraf, David

JAMA ophthalmology, 2018-04, Vol.136 (4), p.372-379 [Periódico revisado por pares]

United States: American Medical Association

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