532 related articles for article (PubMed ID: 34509423)
1. 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]
2. Deep-learning automated quantification of longitudinal OCT scans demonstrates reduced RPE loss rate, preservation of intact macular area and predictive value of isolated photoreceptor degeneration in geographic atrophy patients receiving C3 inhibition treatment.
Fu DJ; Glinton S; Lipkova V; Faes L; Liefers B; Zhang G; Pontikos N; McKeown A; Scheibler L; Patel PJ; Keane PA; Balaskas K
Br J Ophthalmol; 2024 Mar; 108(4):536-545. PubMed ID: 37094835
[TBL] [Abstract][Full Text] [Related]
3. Prediction of visual function from automatically quantified optical coherence tomography biomarkers in patients with geographic atrophy using machine learning.
Balaskas K; Glinton S; Keenan TDL; Faes L; Liefers B; Zhang G; Pontikos N; Struyven R; Wagner SK; McKeown A; Patel PJ; Keane PA; Fu DJ
Sci Rep; 2022 Sep; 12(1):15565. PubMed ID: 36114218
[TBL] [Abstract][Full Text] [Related]
4. Fully Automated Detection and Quantification of Macular Fluid in OCT Using Deep Learning.
Schlegl T; Waldstein SM; Bogunovic H; Endstraßer F; Sadeghipour A; Philip AM; Podkowinski D; Gerendas BS; Langs G; Schmidt-Erfurth U
Ophthalmology; 2018 Apr; 125(4):549-558. PubMed ID: 29224926
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Fully-automated atrophy segmentation in dry age-related macular degeneration in optical coherence tomography.
Derradji Y; Mosinska A; Apostolopoulos S; Ciller C; De Zanet S; Mantel I
Sci Rep; 2021 Nov; 11(1):21893. PubMed ID: 34751189
[TBL] [Abstract][Full Text] [Related]
7. Segmentation of the geographic atrophy in spectral-domain optical coherence tomography and fundus autofluorescence images.
Hu Z; Medioni GG; Hernandez M; Hariri A; Wu X; Sadda SR
Invest Ophthalmol Vis Sci; 2013 Dec; 54(13):8375-83. PubMed ID: 24265015
[TBL] [Abstract][Full Text] [Related]
8. Validation and Clinical Applicability of Whole-Volume Automated Segmentation of Optical Coherence Tomography in Retinal Disease Using Deep Learning.
Wilson M; Chopra R; Wilson MZ; Cooper C; MacWilliams P; Liu Y; Wulczyn E; Florea D; Hughes CO; Karthikesalingam A; Khalid H; Vermeirsch S; Nicholson L; Keane PA; Balaskas K; Kelly CJ
JAMA Ophthalmol; 2021 Sep; 139(9):964-973. PubMed ID: 34236406
[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. Fully automated detection of retinal disorders by image-based deep learning.
Li F; Chen H; Liu Z; Zhang X; Wu Z
Graefes Arch Clin Exp Ophthalmol; 2019 Mar; 257(3):495-505. PubMed ID: 30610422
[TBL] [Abstract][Full Text] [Related]
11. Progression of Photoreceptor Degeneration in Geographic Atrophy Secondary to Age-related Macular Degeneration.
Pfau M; von der Emde L; de Sisternes L; Hallak JA; Leng T; Schmitz-Valckenberg S; Holz FG; Fleckenstein M; Rubin DL
JAMA Ophthalmol; 2020 Oct; 138(10):1026-1034. PubMed ID: 32789526
[TBL] [Abstract][Full Text] [Related]
12. Quantitative Analysis of OCT for Neovascular Age-Related Macular Degeneration Using Deep Learning.
Moraes G; Fu DJ; Wilson M; Khalid H; Wagner SK; Korot E; Ferraz D; Faes L; Kelly CJ; Spitz T; Patel PJ; Balaskas K; Keenan TDL; Keane PA; Chopra R
Ophthalmology; 2021 May; 128(5):693-705. PubMed ID: 32980396
[TBL] [Abstract][Full Text] [Related]
13. Quantification of Key Retinal Features in Early and Late Age-Related Macular Degeneration Using Deep Learning.
Liefers B; Taylor P; Alsaedi A; Bailey C; Balaskas K; Dhingra N; Egan CA; Rodrigues FG; Gonzalo CG; Heeren TFC; Lotery A; Müller PL; Olvera-Barrios A; Paul B; Schwartz R; Thomas DS; Warwick AN; Tufail A; Sánchez CI
Am J Ophthalmol; 2021 Jun; 226():1-12. PubMed ID: 33422464
[TBL] [Abstract][Full Text] [Related]
14. Training Deep Learning Models to Work on Multiple Devices by Cross-Domain Learning with No Additional Annotations.
Wu Y; Olvera-Barrios A; Yanagihara R; Kung TH; Lu R; Leung I; Mishra AV; Nussinovitch H; Grimaldi G; Blazes M; Lee CS; Egan C; Tufail A; Lee AY
Ophthalmology; 2023 Feb; 130(2):213-222. PubMed ID: 36154868
[TBL] [Abstract][Full Text] [Related]
15. Clinical validation for automated geographic atrophy monitoring on OCT under complement inhibitory treatment.
Mai J; Lachinov D; Riedl S; Reiter GS; Vogl WD; Bogunovic H; Schmidt-Erfurth U
Sci Rep; 2023 Apr; 13(1):7028. PubMed ID: 37120456
[TBL] [Abstract][Full Text] [Related]
16. Consensus Definition for Atrophy Associated with Age-Related Macular Degeneration on OCT: Classification of Atrophy Report 3.
Sadda SR; Guymer R; Holz FG; Schmitz-Valckenberg S; Curcio CA; Bird AC; Blodi BA; Bottoni F; Chakravarthy U; Chew EY; Csaky K; Danis RP; Fleckenstein M; Freund KB; Grunwald J; Hoyng CB; Jaffe GJ; Liakopoulos S; Monés JM; Pauleikhoff D; Rosenfeld PJ; Sarraf D; Spaide RF; Tadayoni R; Tufail A; Wolf S; Staurenghi G
Ophthalmology; 2018 Apr; 125(4):537-548. PubMed ID: 29103793
[TBL] [Abstract][Full Text] [Related]
17. Deep learning architectures analysis for age-related macular degeneration segmentation on optical coherence tomography scans.
Alsaih K; Yusoff MZ; Tang TB; Faye I; Mériaudeau F
Comput Methods Programs Biomed; 2020 Oct; 195():105566. PubMed ID: 32504911
[TBL] [Abstract][Full Text] [Related]
18. Optical Coherence Tomography Predictors of Risk for Progression to Non-Neovascular Atrophic Age-Related Macular Degeneration.
Sleiman K; Veerappan M; Winter KP; McCall MN; Yiu G; Farsiu S; Chew EY; Clemons T; Toth CA;
Ophthalmology; 2017 Dec; 124(12):1764-1777. PubMed ID: 28847641
[TBL] [Abstract][Full Text] [Related]
19. Automated geographic atrophy segmentation for SD-OCT images based on two-stage learning model.
Xu R; Niu S; Chen Q; Ji Z; Rubin D; Chen Y
Comput Biol Med; 2019 Feb; 105():102-111. PubMed ID: 30605812
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
