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JAMA Ophthalmology
|
October 19, 2023
Clinician-Driven AI: Code-Free Self-Training on Public Data for Diabetic Retinopathy Referral
Edward Korot, Mariana Batista Gonçalves, Josef Huemer, et al.
Journal of Vitreoretinal Diseases
|
August 16, 2024
American Society of Retina Specialists Artificial Intelligence Task Force Report
Katherine E Talcott, Sally L Baxter, Dinah K Chen, et al.
The Lancet. Digital Health
|
March 18, 2021
A global review of publicly available datasets for ophthalmological imaging: barriers to access, usability, and generalisability
Saad M Khan, Xiaoxuan Liu, Siddharth Nath, et al.
Eye (London, England)
|
September 4, 2023
Image quality assessment of retinal fundus photographs for diabetic retinopathy in the machine learning era: a review
Mariana Batista Gonçalves, Luis Filipe Nakayama, Daniel Ferraz, et al.
Translational Vision Science & Technology
|
July 25, 2020
Insights into Systemic Disease through Retinal Imaging-Based Oculomics
Siegfried K Wagner, Dun Jack Fu, Livia Faes, et al.
Ophthalmology
|
September 27, 2020
Quantitative Analysis of OCT for Neovascular Age-Related Macular Degeneration Using Deep Learning
Gabriella Moraes, Dun Jack Fu, Marc Wilson, et al.
Ophthalmology Science
|
December 4, 2025
Artificial Intelligence in Ocular Oncology: Differentiating Choroidal Melanocytic Lesions
Lamis Alharby, Edward Korot, Pearse A Keane, et al.
The Lancet. Digital Health
|
December 16, 2020
Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study
Livia Faes, Siegfried K Wagner, Dun Jack Fu, et al.
JAMA Ophthalmology
|
December 16, 2021
Enablers and Barriers to Deployment of Smartphone-Based Home Vision Monitoring in Clinical Practice Settings
Edward Korot, Nikolas Pontikos, Faye M Drawnel, et al.
Neurology
|
August 21, 2023
Retinal Optical Coherence Tomography Features Associated With Incident and Prevalent Parkinson Disease
Siegfried Karl Wagner, David Romero-Bascones, Mario Cortina-Borja, et al.
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Search research articles
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Showing results (21-30 of 30) with videos related to
Sort By:
Page
of 3
You have reached the last page of results.
This site can display upto 30 results.
JAMA Ophthalmology
|
October 19, 2023
Clinician-Driven AI: Code-Free Self-Training on Public Data for Diabetic Retinopathy Referral
Edward Korot, Mariana Batista Gonçalves, Josef Huemer, et al.
Journal of Vitreoretinal Diseases
|
August 16, 2024
American Society of Retina Specialists Artificial Intelligence Task Force Report
Katherine E Talcott, Sally L Baxter, Dinah K Chen, et al.
The Lancet. Digital Health
|
March 18, 2021
A global review of publicly available datasets for ophthalmological imaging: barriers to access, usability, and generalisability
Saad M Khan, Xiaoxuan Liu, Siddharth Nath, et al.
Eye (London, England)
|
September 4, 2023
Image quality assessment of retinal fundus photographs for diabetic retinopathy in the machine learning era: a review
Mariana Batista Gonçalves, Luis Filipe Nakayama, Daniel Ferraz, et al.
Translational Vision Science & Technology
|
July 25, 2020
Insights into Systemic Disease through Retinal Imaging-Based Oculomics
Siegfried K Wagner, Dun Jack Fu, Livia Faes, et al.
Ophthalmology
|
September 27, 2020
Quantitative Analysis of OCT for Neovascular Age-Related Macular Degeneration Using Deep Learning
Gabriella Moraes, Dun Jack Fu, Marc Wilson, et al.
Ophthalmology Science
|
December 4, 2025
Artificial Intelligence in Ocular Oncology: Differentiating Choroidal Melanocytic Lesions
Lamis Alharby, Edward Korot, Pearse A Keane, et al.
The Lancet. Digital Health
|
December 16, 2020
Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study
Livia Faes, Siegfried K Wagner, Dun Jack Fu, et al.
JAMA Ophthalmology
|
December 16, 2021
Enablers and Barriers to Deployment of Smartphone-Based Home Vision Monitoring in Clinical Practice Settings
Edward Korot, Nikolas Pontikos, Faye M Drawnel, et al.
Neurology
|
August 21, 2023
Retinal Optical Coherence Tomography Features Associated With Incident and Prevalent Parkinson Disease
Siegfried Karl Wagner, David Romero-Bascones, Mario Cortina-Borja, et al.
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of 3