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Aaron Y Lee

Showing results (1-10 of 212) with videos related to

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JAMA Ophthalmology|June 4, 2026
Mobile-Based Artificial Intelligence and Ocular Surface MalignanciesCyriac Manjaly, Aaron Y Lee
JAMA Ophthalmology|May 13, 2021
Automated Retinal Fluid Volume Quantification: A Nod to Present and Future Applications of Deep LearningAaron Y Lee, Amy Yuan
The Lancet. Digital Health|March 11, 2022
Artificial intelligence deployment in diabetic retinopathy: the last step of the translation continuumAmy Yuan, Aaron Y Lee
The Lancet. Digital Health|December 17, 2020
Clinical applications of continual learning machine learningCecilia S Lee, Aaron Y Lee
Pharmacogenomics|October 16, 2008
CFH and LOC387715/ARMS2 genotypes and antioxidants and zinc therapy for age-related macular degenerationAaron Y Lee, Milam A Brantley
Translational Vision Science & Technology|July 25, 2020
How Artificial Intelligence Can Transform Randomized Controlled TrialsCecilia S Lee, Aaron Y Lee
Current Opinion in Ophthalmology|July 7, 2021
Gaps in standards for integrating artificial intelligence technologies into ophthalmic practiceSally L Baxter, Aaron Y Lee
Ophthalmology|September 12, 2022
Joint American Academy of Ophthalmology and Association for Research in Vision and Ophthalmology Policy Statement: The Time for Digital Imaging Standards Implementation Is NowAaron Y Lee, SriniVas Sadda, Flora Lum
JAMA Ophthalmology|June 6, 2024
Enhancing Self-Supervised Learning for Rare Diseases in OCT-ReplyShahrzad Gholami, Lea Scheppke, Aaron Y Lee
JAMA Ophthalmology|December 30, 2021
Machine Learning-Based Anomaly Detection Techniques in OphthalmologyRandy Y Lu, Yelena Bagdasarova, Aaron Y Lee
Pageof 22

Showing results (1-10 of 212) with videos related to

Sort By:
Pageof 22
JAMA Ophthalmology|June 4, 2026
Mobile-Based Artificial Intelligence and Ocular Surface MalignanciesCyriac Manjaly, Aaron Y Lee
JAMA Ophthalmology|May 13, 2021
Automated Retinal Fluid Volume Quantification: A Nod to Present and Future Applications of Deep LearningAaron Y Lee, Amy Yuan
The Lancet. Digital Health|March 11, 2022
Artificial intelligence deployment in diabetic retinopathy: the last step of the translation continuumAmy Yuan, Aaron Y Lee
The Lancet. Digital Health|December 17, 2020
Clinical applications of continual learning machine learningCecilia S Lee, Aaron Y Lee
Pharmacogenomics|October 16, 2008
CFH and LOC387715/ARMS2 genotypes and antioxidants and zinc therapy for age-related macular degenerationAaron Y Lee, Milam A Brantley
Translational Vision Science & Technology|July 25, 2020
How Artificial Intelligence Can Transform Randomized Controlled TrialsCecilia S Lee, Aaron Y Lee
Current Opinion in Ophthalmology|July 7, 2021
Gaps in standards for integrating artificial intelligence technologies into ophthalmic practiceSally L Baxter, Aaron Y Lee
Ophthalmology|September 12, 2022
Joint American Academy of Ophthalmology and Association for Research in Vision and Ophthalmology Policy Statement: The Time for Digital Imaging Standards Implementation Is NowAaron Y Lee, SriniVas Sadda, Flora Lum
JAMA Ophthalmology|June 6, 2024
Enhancing Self-Supervised Learning for Rare Diseases in OCT-ReplyShahrzad Gholami, Lea Scheppke, Aaron Y Lee
JAMA Ophthalmology|December 30, 2021
Machine Learning-Based Anomaly Detection Techniques in OphthalmologyRandy Y Lu, Yelena Bagdasarova, Aaron Y Lee
Pageof 22