322 related articles for article (PubMed ID: 36247813)
1. Improving Interpretability in Machine Diagnosis: Detection of Geographic Atrophy in OCT Scans.
Shi X; Keenan TDL; Chen Q; De Silva T; Thavikulwat AT; Broadhead G; Bhandari S; Cukras C; Chew EY; Lu Z
Ophthalmol Sci; 2021 Sep; 1(3):100038. PubMed ID: 36247813
[TBL] [Abstract][Full Text] [Related]
2. Deep-GA-Net for Accurate and Explainable Detection of Geographic Atrophy on OCT Scans.
Elsawy A; Keenan TDL; Chen Q; Shi X; Thavikulwat AT; Bhandari S; Chew EY; Lu Z
Ophthalmol Sci; 2023 Dec; 3(4):100311. PubMed ID: 37304045
[TBL] [Abstract][Full Text] [Related]
3. Automated Identification of Incomplete and Complete Retinal Epithelial Pigment and Outer Retinal Atrophy Using Machine Learning.
Chiang JN; Corradetti G; Nittala MG; Corvi F; Rakocz N; Rudas A; Durmus B; An U; Sankararaman S; Chiu A; Halperin E; Sadda SR
Ophthalmol Retina; 2023 Feb; 7(2):118-126. PubMed ID: 35995411
[TBL] [Abstract][Full Text] [Related]
4. Detection of Nonexudative Macular Neovascularization on Structural OCT Images Using Vision Transformers.
Kihara Y; Shen M; Shi Y; Jiang X; Wang L; Laiginhas R; Lyu C; Yang J; Liu J; Morin R; Lu R; Fujiyoshi H; Feuer WJ; Gregori G; Rosenfeld PJ; Lee AY
Ophthalmol Sci; 2022 Dec; 2(4):100197. PubMed ID: 36531577
[TBL] [Abstract][Full Text] [Related]
5. Machine Learning-Based Automated Detection and Quantification of Geographic Atrophy and Hypertransmission Defects Using Spectral Domain Optical Coherence Tomography.
Kalra G; Cetin H; Whitney J; Yordi S; Cakir Y; McConville C; Whitmore V; Bonnay M; Lunasco L; Sassine A; Borisiak K; Cohen D; Reese J; Srivastava SK; Ehlers JP
J Pers Med; 2022 Dec; 13(1):. PubMed ID: 36675697
[TBL] [Abstract][Full Text] [Related]
6. Quantification of Geographic Atrophy Using Spectral Domain OCT in Age-Related Macular Degeneration.
Cleland SC; Konda SM; Danis RP; Huang Y; Myers DJ; Blodi BA; Domalpally A
Ophthalmol Retina; 2021 Jan; 5(1):41-48. PubMed ID: 32679202
[TBL] [Abstract][Full Text] [Related]
7. A Deep-Learning Algorithm to Predict Short-Term Progression to Geographic Atrophy on Spectral-Domain Optical Coherence Tomography.
Dow ER; Jeong HK; Katz EA; Toth CA; Wang D; Lee T; Kuo D; Allingham MJ; Hadziahmetovic M; Mettu PS; Schuman S; Carin L; Keane PA; Henao R; Lad EM
JAMA Ophthalmol; 2023 Nov; 141(11):1052-1061. PubMed ID: 37856139
[TBL] [Abstract][Full Text] [Related]
8. Deep Learning Automated Detection of Reticular Pseudodrusen from Fundus Autofluorescence Images or Color Fundus Photographs in AREDS2.
Keenan TDL; Chen Q; Peng Y; Domalpally A; Agrón E; Hwang CK; Thavikulwat AT; Lee DH; Li D; Wong WT; Lu Z; Chew EY
Ophthalmology; 2020 Dec; 127(12):1674-1687. PubMed ID: 32447042
[TBL] [Abstract][Full Text] [Related]
9. A Deep Learning Model for Automated Segmentation of Geographic Atrophy Imaged Using Swept-Source OCT.
Pramil V; de Sisternes L; Omlor L; Lewis W; Sheikh H; Chu Z; Manivannan N; Durbin M; Wang RK; Rosenfeld PJ; Shen M; Guymer R; Liang MC; Gregori G; Waheed NK
Ophthalmol Retina; 2023 Feb; 7(2):127-141. PubMed ID: 35970318
[TBL] [Abstract][Full Text] [Related]
10. Deep Learning Approaches for Detecting of Nascent Geographic Atrophy in Age-Related Macular Degeneration.
Yao H; Wu Z; Gao SS; Guymer RH; Steffen V; Chen H; Hejrati M; Zhang M
Ophthalmol Sci; 2024; 4(3):100428. PubMed ID: 38284101
[TBL] [Abstract][Full Text] [Related]
11. Clinically relevant deep learning for detection and quantification of geographic atrophy from optical coherence tomography: a model development and external validation study.
Zhang G; Fu DJ; Liefers B; Faes L; Glinton S; Wagner S; Struyven R; Pontikos N; Keane PA; Balaskas K
Lancet Digit Health; 2021 Oct; 3(10):e665-e675. PubMed ID: 34509423
[TBL] [Abstract][Full Text] [Related]
12. Retinal Specialist versus Artificial Intelligence Detection of Retinal Fluid from OCT: Age-Related Eye Disease Study 2: 10-Year Follow-On Study.
Keenan TDL; Clemons TE; Domalpally A; Elman MJ; Havilio M; Agrón E; Benyamini G; Chew EY
Ophthalmology; 2021 Jan; 128(1):100-109. PubMed ID: 32598950
[TBL] [Abstract][Full Text] [Related]
13. A Deep Learning Approach for Automated Detection of Geographic Atrophy from Color Fundus Photographs.
Keenan TD; Dharssi S; Peng Y; Chen Q; Agrón E; Wong WT; Lu Z; Chew EY
Ophthalmology; 2019 Nov; 126(11):1533-1540. PubMed ID: 31358385
[TBL] [Abstract][Full Text] [Related]
14. Outer Retinal Thickness and Fundus Autofluorescence in Geographic Atrophy.
Wang DL; Agee J; Mazzola M; Sacconi R; Querques G; Weinberg AD; Smith RT
Ophthalmol Retina; 2019 Dec; 3(12):1035-1044. PubMed ID: 31810572
[TBL] [Abstract][Full Text] [Related]
15. Comparison between B-Scan and En Face Images for Incomplete and Complete Retinal Pigment Epithelium and Outer Retinal Atrophy.
Corvi F; Corradetti G; Laiginhas R; Liu J; Gregori G; Rosenfeld PJ; Sadda SR
Ophthalmol Retina; 2023 Nov; 7(11):999-1009. PubMed ID: 37437713
[TBL] [Abstract][Full Text] [Related]
16. Local Anatomic Precursors to New-Onset Geographic Atrophy in Age-Related Macular Degeneration as Defined on OCT.
Pasricha MV; Tai V; Sleiman K; Winter K; Chiu SJ; Farsiu S; Stinnett SS; Lad EM; Wong WT; Chew EY; Toth CA;
Ophthalmol Retina; 2021 May; 5(5):396-408. PubMed ID: 33348086
[TBL] [Abstract][Full Text] [Related]
17. Deep-Learning-Aided Diagnosis of Diabetic Retinopathy, Age-Related Macular Degeneration, and Glaucoma Based on Structural and Angiographic OCT.
Zang P; Hormel TT; Hwang TS; Bailey ST; Huang D; Jia Y
Ophthalmol Sci; 2023 Mar; 3(1):100245. PubMed ID: 36579336
[TBL] [Abstract][Full Text] [Related]
18. Progression of cRORA (Complete RPE and Outer Retinal Atrophy) in Dry Age-Related Macular Degeneration Measured Using SD-OCT.
Shmueli O; Yehuda R; Szeskin A; Joskowicz L; Levy J
Transl Vis Sci Technol; 2022 Jan; 11(1):19. PubMed ID: 35029632
[TBL] [Abstract][Full Text] [Related]
19. Spectral-domain optical coherence tomography characteristics of intermediate age-related macular degeneration.
Leuschen JN; Schuman SG; Winter KP; McCall MN; Wong WT; Chew EY; Hwang T; Srivastava S; Sarin N; Clemons T; Harrington M; Toth CA
Ophthalmology; 2013 Jan; 120(1):140-50. PubMed ID: 22968145
[TBL] [Abstract][Full Text] [Related]
20. A Hybrid Model Composed of Two Convolutional Neural Networks (CNNs) for Automatic Retinal Layer Segmentation of OCT Images in Retinitis Pigmentosa (RP).
Wang YZ; Wu W; Birch DG
Transl Vis Sci Technol; 2021 Nov; 10(13):9. PubMed ID: 34751740
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]