283 related articles for article (PubMed ID: 34279136)
1. Machine learning in optical coherence tomography angiography.
Le D; Son T; Yao X
Exp Biol Med (Maywood); 2021 Oct; 246(20):2170-2183. PubMed ID: 34279136
[TBL] [Abstract][Full Text] [Related]
2. Deep learning for artery-vein classification in optical coherence tomography angiography.
Le D; Abtahi M; Adejumo T; Ebrahimi B; K Dadzie A; Son T; Yao X
Exp Biol Med (Maywood); 2023 May; 248(9):747-761. PubMed ID: 37452729
[TBL] [Abstract][Full Text] [Related]
3. The application of optical coherence tomography angiography in retinal diseases.
Sambhav K; Grover S; Chalam KV
Surv Ophthalmol; 2017; 62(6):838-866. PubMed ID: 28579550
[TBL] [Abstract][Full Text] [Related]
4. Optical coherence tomography angiography (OCTA) flow speed mapping technology for retinal diseases.
Arya M; Rashad R; Sorour O; Moult EM; Fujimoto JG; Waheed NK
Expert Rev Med Devices; 2018 Dec; 15(12):875-882. PubMed ID: 30460869
[TBL] [Abstract][Full Text] [Related]
5. Optical coherence tomography angiography: A comprehensive review of current methods and clinical applications.
Kashani AH; Chen CL; Gahm JK; Zheng F; Richter GM; Rosenfeld PJ; Shi Y; Wang RK
Prog Retin Eye Res; 2017 Sep; 60():66-100. PubMed ID: 28760677
[TBL] [Abstract][Full Text] [Related]
6. A MULTITASK DEEP-LEARNING SYSTEM FOR ASSESSMENT OF DIABETIC MACULAR ISCHEMIA ON OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY IMAGES.
Yang D; Sun Z; Shi J; Ran A; Tang F; Tang Z; Lok J; Szeto S; Chan J; Yip F; Zhang L; Meng Q; Rasmussen M; Grauslund J; Cheung CY
Retina; 2022 Jan; 42(1):184-194. PubMed ID: 34432726
[TBL] [Abstract][Full Text] [Related]
7. Automated Diagnosis of Optical Coherence Tomography Angiography (OCTA) Based on Machine Learning Techniques.
Yasser I; Khalifa F; Abdeltawab H; Ghazal M; Sandhu HS; El-Baz A
Sensors (Basel); 2022 Mar; 22(6):. PubMed ID: 35336513
[TBL] [Abstract][Full Text] [Related]
8. Automated OCT angiography image quality assessment using a deep learning algorithm.
Lauermann JL; Treder M; Alnawaiseh M; Clemens CR; Eter N; Alten F
Graefes Arch Clin Exp Ophthalmol; 2019 Aug; 257(8):1641-1648. PubMed ID: 31119426
[TBL] [Abstract][Full Text] [Related]
9. The role of optical coherence tomography angiography in fundus vascular abnormalities.
Yu S; Lu J; Cao D; Liu R; Liu B; Li T; Luo Y; Lu L
BMC Ophthalmol; 2016 Jul; 16():107. PubMed ID: 27412442
[TBL] [Abstract][Full Text] [Related]
10. Generating retinal flow maps from structural optical coherence tomography with artificial intelligence.
Lee CS; Tyring AJ; Wu Y; Xiao S; Rokem AS; DeRuyter NP; Zhang Q; Tufail A; Wang RK; Lee AY
Sci Rep; 2019 Apr; 9(1):5694. PubMed ID: 30952891
[TBL] [Abstract][Full Text] [Related]
11. Early diabetic retinopathy diagnosis based on local retinal blood vessel analysis in optical coherence tomography angiography (OCTA) images.
Eladawi N; Elmogy M; Khalifa F; Ghazal M; Ghazi N; Aboelfetouh A; Riad A; Sandhu H; Schaal S; El-Baz A
Med Phys; 2018 Oct; 45(10):4582-4599. PubMed ID: 30144102
[TBL] [Abstract][Full Text] [Related]
12. [Application of optical coherence tomography angiography in ophthalmology].
Di Y; Ye JJ
Zhonghua Yan Ke Za Zhi; 2017 Jan; 53(1):65-72. PubMed ID: 28162201
[TBL] [Abstract][Full Text] [Related]
13. Optimization-based vessel segmentation pipeline for robust quantification of capillary networks in skin with optical coherence tomography angiography.
Casper M; Schulz-Hildebrandt H; Evers M; Birngruber R; Manstein D; Hüttmann G
J Biomed Opt; 2019 Apr; 24(4):1-11. PubMed ID: 31041858
[TBL] [Abstract][Full Text] [Related]
14. A Deep Learning Algorithm for Classifying Diabetic Retinopathy Using Optical Coherence Tomography Angiography.
Ryu G; Lee K; Park D; Kim I; Park SH; Sagong M
Transl Vis Sci Technol; 2022 Feb; 11(2):39. PubMed ID: 35703566
[TBL] [Abstract][Full Text] [Related]
15. INTERMEDIATE AND DEEP CAPILLARY PLEXUSES IN MACHINE LEARNING SEGMENTATION OF HIGH-RESOLUTION OPTICAL COHERENCE TOMOGRAPHY IMAGING.
Spaide RF; Caujolle S; Otto T
Retina; 2021 Jun; 41(6):1314-1317. PubMed ID: 34001833
[TBL] [Abstract][Full Text] [Related]
16. Delineation of capillary dropout in the deep retinal capillary plexus using optical coherence tomography angiography in a patient with Purtscher's retinopathy exhibiting normal fluorescein angiography findings: a case report.
Tokimitsu M; Murata M; Toriyama Y; Hirano T; Iesato Y; Murata T
BMC Ophthalmol; 2016 Jul; 16():113. PubMed ID: 27430650
[TBL] [Abstract][Full Text] [Related]
17. Automated quantification of superficial retinal capillaries and large vessels for diabetic retinopathy on optical coherence tomographic angiography.
Xu X; Chen C; Ding W; Yang P; Lu H; Xu F; Lei J
J Biophotonics; 2019 Nov; 12(11):e201900103. PubMed ID: 31309729
[TBL] [Abstract][Full Text] [Related]
18. A deep learning based pipeline for optical coherence tomography angiography.
Liu X; Huang Z; Wang Z; Wen C; Jiang Z; Yu Z; Liu J; Liu G; Huang X; Maier A; Ren Q; Lu Y
J Biophotonics; 2019 Oct; 12(10):e201900008. PubMed ID: 31168927
[TBL] [Abstract][Full Text] [Related]
19. Deep learning for quality assessment of optical coherence tomography angiography images.
Dhodapkar RM; Li E; Nwanyanwu K; Adelman R; Krishnaswamy S; Wang JC
Sci Rep; 2022 Aug; 12(1):13775. PubMed ID: 35962007
[TBL] [Abstract][Full Text] [Related]
20. OPTICAL COHERENCE TOMOGRAPHY AND OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY EVALUATION OF COMBINED HAMARTOMA OF THE RETINA AND RETINAL PIGMENT EPITHELIUM.
Arrigo A; Corbelli E; Aragona E; Manitto MP; Martina E; Bandello F; Parodi MB
Retina; 2019 May; 39(5):1009-1015. PubMed ID: 29370036
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
