259 related articles for article (PubMed ID: 34999015)
1. Deep Learning to Detect OCT-derived Diabetic Macular Edema from Color Retinal Photographs: A Multicenter Validation Study.
Liu X; Ali TK; Singh P; Shah A; McKinney SM; Ruamviboonsuk P; Turner AW; Keane PA; Chotcomwongse P; Nganthavee V; Chia M; Huemer J; Cuadros J; Raman R; Corrado GS; Peng L; Webster DR; Hammel N; Varadarajan AV; Liu Y; Chopra R; Bavishi P
Ophthalmol Retina; 2022 May; 6(5):398-410. PubMed ID: 34999015
[TBL] [Abstract][Full Text] [Related]
2. Optical coherence tomography for the detection of early macular edema in diabetic patients with retinopathy.
Koleva-Georgieva DN; Sivkova NP
Folia Med (Plovdiv); 2010; 52(1):40-8. PubMed ID: 20380286
[TBL] [Abstract][Full Text] [Related]
3. Evaluation of an Artificial Intelligence-Based Detector of Sub- and Intraretinal Fluid on a Large Set of Optical Coherence Tomography Volumes in Age-Related Macular Degeneration and Diabetic Macular Edema.
Habra O; Gallardo M; Meyer Zu Westram T; De Zanet S; Jaggi D; Zinkernagel M; Wolf S; Sznitman R
Ophthalmologica; 2022; 245(6):516-527. PubMed ID: 36215958
[TBL] [Abstract][Full Text] [Related]
4. Optical coherence tomography (OCT) for detection of macular oedema in patients with diabetic retinopathy.
Virgili G; Menchini F; Casazza G; Hogg R; Das RR; Wang X; Michelessi M
Cochrane Database Syst Rev; 2015 Jan; 1(1):CD008081. PubMed ID: 25564068
[TBL] [Abstract][Full Text] [Related]
5. DETECTION OF MORPHOLOGIC PATTERNS OF DIABETIC MACULAR EDEMA USING A DEEP LEARNING APPROACH BASED ON OPTICAL COHERENCE TOMOGRAPHY IMAGES.
Wu Q; Zhang B; Hu Y; Liu B; Cao D; Yang D; Peng Q; Zhong P; Zeng X; Xiao Y; Li C; Fang Y; Feng S; Huang M; Cai H; Yang X; Yu H
Retina; 2021 May; 41(5):1110-1117. PubMed ID: 33031250
[TBL] [Abstract][Full Text] [Related]
6. Comparison of Central Macular Fluid Volume With Central Subfield Thickness in Patients With Diabetic Macular Edema Using Optical Coherence Tomography Angiography.
You QS; Tsuboi K; Guo Y; Wang J; Flaxel CJ; Bailey ST; Huang D; Jia Y; Hwang TS
JAMA Ophthalmol; 2021 Jul; 139(7):734-741. PubMed ID: 33983385
[TBL] [Abstract][Full Text] [Related]
7. Optical coherence tomography (OCT) for detection of macular oedema in patients with diabetic retinopathy.
Virgili G; Menchini F; Murro V; Peluso E; Rosa F; Casazza G
Cochrane Database Syst Rev; 2011 Jul; (7):CD008081. PubMed ID: 21735421
[TBL] [Abstract][Full Text] [Related]
8. Three-dimensional automated choroidal volume assessment on standard spectral-domain optical coherence tomography and correlation with the level of diabetic macular edema.
Gerendas BS; Waldstein SM; Simader C; Deak G; Hajnajeeb B; Zhang L; Bogunovic H; Abramoff MD; Kundi M; Sonka M; Schmidt-Erfurth U
Am J Ophthalmol; 2014 Nov; 158(5):1039-48. PubMed ID: 25127697
[TBL] [Abstract][Full Text] [Related]
9. En Face Doppler Optical Coherence Tomography Measurement of Total Retinal Blood Flow in Diabetic Retinopathy and Diabetic Macular Edema.
Lee B; Novais EA; Waheed NK; Adhi M; de Carlo TE; Cole ED; Moult EM; Choi W; Lane M; Baumal CR; Duker JS; Fujimoto JG
JAMA Ophthalmol; 2017 Mar; 135(3):244-251. PubMed ID: 28196198
[TBL] [Abstract][Full Text] [Related]
10. Disorganization of Inner Retina and Outer Retinal Morphology in Diabetic Macular Edema.
Das R; Spence G; Hogg RE; Stevenson M; Chakravarthy U
JAMA Ophthalmol; 2018 Feb; 136(2):202-208. PubMed ID: 29327033
[TBL] [Abstract][Full Text] [Related]
11. Comparison of Handheld Retinal Imaging with ETDRS 7-Standard Field Photography for Diabetic Retinopathy and Diabetic Macular Edema.
Salongcay RP; Aquino LAC; Salva CMG; Saunar AV; Alog GP; Sun JK; Peto T; Silva PS
Ophthalmol Retina; 2022 Jul; 6(7):548-556. PubMed ID: 35278726
[TBL] [Abstract][Full Text] [Related]
12. Diagnostic Utility of Swept-Source OCT-Based Biometry and Fundus Photographs Compared to Spectral Domain OCT in Center-Involving Diabetic Macular Edema.
Sanjana Chouhan S; Neelamegam V; Raghu K; Surya RJ; Janarthanam JB; Rao C; Mohapatra A; Raman R
Ophthalmic Epidemiol; 2024 May; ():1-8. PubMed ID: 38709173
[TBL] [Abstract][Full Text] [Related]
13. Effects of Diabetic Macular Edema on Repeatability of Retinal Nerve Fiber Layer Thickness Measurements at the Macular and Peripapillary Area Using Swept-Source Optical Coherence Tomography.
Min JK; Lee S; Kim JS; Woo JM; Yang HS
Curr Eye Res; 2017 Feb; 42(2):307-314. PubMed ID: 27347610
[TBL] [Abstract][Full Text] [Related]
14. Deep learning-based detection of diabetic macular edema using optical coherence tomography and fundus images: A meta-analysis.
Manikandan S; Raman R; Rajalakshmi R; Tamilselvi S; Surya RJ
Indian J Ophthalmol; 2023 May; 71(5):1783-1796. PubMed ID: 37203031
[TBL] [Abstract][Full Text] [Related]
15. Comparison of Prevalence of Diabetic Macular Edema Based on Monocular Fundus Photography vs Optical Coherence Tomography.
Wang YT; Tadarati M; Wolfson Y; Bressler SB; Bressler NM
JAMA Ophthalmol; 2016 Feb; 134(2):222-8. PubMed ID: 26719967
[TBL] [Abstract][Full Text] [Related]
16. Comparisons of Handheld Retinal Imaging with Optical Coherence Tomography for the Identification of Macular Pathology in Patients with Diabetes.
Jacoba CMP; Salongcay RP; Rageh AK; Aquino LAC; Alog GP; Saunar AV; Peto T; Silva PS
Ophthalmic Res; 2023; 66(1):903-912. PubMed ID: 37080187
[TBL] [Abstract][Full Text] [Related]
17. Artificial intelligence in screening, diagnosis, and classification of diabetic macular edema: A systematic review.
Shahriari MH; Sabbaghi H; Asadi F; Hosseini A; Khorrami Z
Surv Ophthalmol; 2023; 68(1):42-53. PubMed ID: 35970233
[TBL] [Abstract][Full Text] [Related]
18. Optical coherence tomography measurements and analysis methods in optical coherence tomography studies of diabetic macular edema.
Browning DJ; Glassman AR; Aiello LP; Bressler NM; Bressler SB; Danis RP; Davis MD; Ferris FL; Huang SS; Kaiser PK; Kollman C; Sadda S; Scott IU; Qin H;
Ophthalmology; 2008 Aug; 115(8):1366-71, 1371.e1. PubMed ID: 18675696
[TBL] [Abstract][Full Text] [Related]
19. Toronto tele-retinal screening program for detection of diabetic retinopathy and macular edema.
Felfeli T; Alon R; Merritt R; Brent MH
Can J Ophthalmol; 2019 Apr; 54(2):203-211. PubMed ID: 30975344
[TBL] [Abstract][Full Text] [Related]
20. Performance of Automated Machine Learning for Diabetic Retinopathy Image Classification from Multi-field Handheld Retinal Images.
Jacoba CMP; Doan D; Salongcay RP; Aquino LAC; Silva JPY; Salva CMG; Zhang D; Alog GP; Zhang K; Locaylocay KLRB; Saunar AV; Ashraf M; Sun JK; Peto T; Aiello LP; Silva PS
Ophthalmol Retina; 2023 Aug; 7(8):703-712. PubMed ID: 36924893
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]