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Amitha Domalpally

Showing results (91-100 of 97) with videos related to

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Ophthalmology Science|February 5, 2024
Imaging Modalities for Assessing the Vascular Component of Diabetic Retinal Disease: Review and Consensus for an Updated Staging SystemTien-En Tan, Lee M Jampol, Frederick L Ferris, et al.
Journal of the American Medical Informatics Association : JAMIA|April 1, 2021
Multimodal, multitask, multiattention (M3) deep learning detection of reticular pseudodrusen: Toward automated and accessible classification of age-related macular degenerationQingyu Chen, Tiarnan D L Keenan, Alexis Allot, et al.
Ophthalmology. Retina|March 26, 2021
OCT Signs of Early Atrophy in Age-Related Macular Degeneration: Interreader Agreement: Classification of Atrophy Meetings Report 6Zhichao Wu, Maximilian Pfau, Barbara A Blodi, et al.
Experimental Eye Research|March 15, 2025
Publicly available imaging datasets for age-related macular degeneration: Evaluation according to the Findable, Accessible, Interoperable, Reusable (FAIR) principlesNayoon Gim, Alina Ferguson, Marian Blazes, et al.
JAMA Ophthalmology|May 7, 2013
Lutein/zeaxanthin for the treatment of age-related cataract: AREDS2 randomized trial report no. 4, Emily Y Chew, John Paul SanGiovanni, et al.
JAMA Ophthalmology|December 7, 2013
Secondary analyses of the effects of lutein/zeaxanthin on age-related macular degeneration progression: AREDS2 report No. 3, Emily Y Chew, Traci E Clemons, et al.
Experimental Eye Research|May 7, 2022
Artificial intelligence-based strategies to identify patient populations and advance analysis in age-related macular degeneration clinical trialsAntonio Yaghy, Aaron Y Lee, Pearse A Keane, et al.
Pageof 10

Showing results (91-100 of 97) with videos related to

Sort By:
Pageof 10
You have reached the last page of results.This site can display upto 97 results.
Ophthalmology Science|February 5, 2024
Imaging Modalities for Assessing the Vascular Component of Diabetic Retinal Disease: Review and Consensus for an Updated Staging SystemTien-En Tan, Lee M Jampol, Frederick L Ferris, et al.
Journal of the American Medical Informatics Association : JAMIA|April 1, 2021
Multimodal, multitask, multiattention (M3) deep learning detection of reticular pseudodrusen: Toward automated and accessible classification of age-related macular degenerationQingyu Chen, Tiarnan D L Keenan, Alexis Allot, et al.
Ophthalmology. Retina|March 26, 2021
OCT Signs of Early Atrophy in Age-Related Macular Degeneration: Interreader Agreement: Classification of Atrophy Meetings Report 6Zhichao Wu, Maximilian Pfau, Barbara A Blodi, et al.
Experimental Eye Research|March 15, 2025
Publicly available imaging datasets for age-related macular degeneration: Evaluation according to the Findable, Accessible, Interoperable, Reusable (FAIR) principlesNayoon Gim, Alina Ferguson, Marian Blazes, et al.
JAMA Ophthalmology|May 7, 2013
Lutein/zeaxanthin for the treatment of age-related cataract: AREDS2 randomized trial report no. 4, Emily Y Chew, John Paul SanGiovanni, et al.
JAMA Ophthalmology|December 7, 2013
Secondary analyses of the effects of lutein/zeaxanthin on age-related macular degeneration progression: AREDS2 report No. 3, Emily Y Chew, Traci E Clemons, et al.
Experimental Eye Research|May 7, 2022
Artificial intelligence-based strategies to identify patient populations and advance analysis in age-related macular degeneration clinical trialsAntonio Yaghy, Aaron Y Lee, Pearse A Keane, et al.
Pageof 10