215 related articles for article (PubMed ID: 34344669)
1. Accuracy of automated machine learning in classifying retinal pathologies from ultra-widefield pseudocolour fundus images.
Antaki F; Coussa RG; Kahwati G; Hammamji K; Sebag M; Duval R
Br J Ophthalmol; 2023 Jan; 107(1):90-95. PubMed ID: 34344669
[TBL] [Abstract][Full Text] [Related]
2. Automated Machine Learning versus Expert-Designed Models in Ocular Toxoplasmosis: Detection and Lesion Localization Using Fundus Images.
Milad D; Antaki F; Bernstein A; Touma S; Duval R
Ocul Immunol Inflamm; 2024 Feb; ():1-7. PubMed ID: 38411944
[TBL] [Abstract][Full Text] [Related]
3. Development and deployment of a smartphone application for diagnosing trachoma: Leveraging code-free deep learning and edge artificial intelligence.
Milad D; Antaki F; Robert MC; Duval R
Saudi J Ophthalmol; 2023; 37(3):200-206. PubMed ID: 38074296
[TBL] [Abstract][Full Text] [Related]
4. Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study.
Faes L; Wagner SK; Fu DJ; Liu X; Korot E; Ledsam JR; Back T; Chopra R; Pontikos N; Kern C; Moraes G; Schmid MK; Sim D; Balaskas K; Bachmann LM; Denniston AK; Keane PA
Lancet Digit Health; 2019 Sep; 1(5):e232-e242. PubMed ID: 33323271
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Artificial Intelligence-Assisted Early Detection of Retinitis Pigmentosa - the Most Common Inherited Retinal Degeneration.
Chen TC; Lim WS; Wang VY; Ko ML; Chiu SI; Huang YS; Lai F; Yang CM; Hu FR; Jang JR; Yang CH
J Digit Imaging; 2021 Aug; 34(4):948-958. PubMed ID: 34244880
[TBL] [Abstract][Full Text] [Related]
7. Deep Learning Detection of Early Retinal Peripheral Degeneration From Ultra-Widefield Fundus Photographs of Asymptomatic Young Adult (17-19 Years) Candidates to Airforce Cadets.
Wu T; Ju L; Fu X; Wang B; Ge Z; Liu Y
Transl Vis Sci Technol; 2024 Feb; 13(2):1. PubMed ID: 38300623
[TBL] [Abstract][Full Text] [Related]
8. Automated Machine Learning for Predicting Diabetic Retinopathy Progression From Ultra-Widefield Retinal Images.
Silva PS; Zhang D; Jacoba CMP; Fickweiler W; Lewis D; Leitmeyer J; Curran K; Salongcay RP; Doan D; Ashraf M; Cavallerano JD; Sun JK; Peto T; Aiello LP
JAMA Ophthalmol; 2024 Mar; 142(3):171-177. PubMed ID: 38329765
[TBL] [Abstract][Full Text] [Related]
9. Deep Learning-Based Automated Detection of Retinal Breaks and Detachments on Fundus Photography.
Christ M; Habra O; Monnin K; Vallotton K; Sznitman R; Wolf S; Zinkernagel M; Márquez Neila P
Transl Vis Sci Technol; 2024 Apr; 13(4):1. PubMed ID: 38564203
[TBL] [Abstract][Full Text] [Related]
10. Deep learning-based classification of retinal vascular diseases using ultra-widefield colour fundus photographs.
Abitbol E; Miere A; Excoffier JB; Mehanna CJ; Amoroso F; Kerr S; Ortala M; Souied EH
BMJ Open Ophthalmol; 2022; 7(1):e000924. PubMed ID: 35141420
[TBL] [Abstract][Full Text] [Related]
11. Deep Learning Performance of Ultra-Widefield Fundus Imaging for Screening Retinal Lesions in Rural Locales.
Cui T; Lin D; Yu S; Zhao X; Lin Z; Zhao L; Xu F; Yun D; Pang J; Li R; Xie L; Zhu P; Huang Y; Huang H; Hu C; Huang W; Liang X; Lin H
JAMA Ophthalmol; 2023 Nov; 141(11):1045-1051. PubMed ID: 37856107
[TBL] [Abstract][Full Text] [Related]
12. Artificial intelligence to distinguish retinal vein occlusion patients using color fundus photographs.
Ren X; Feng W; Ran R; Gao Y; Lin Y; Fu X; Tao Y; Wang T; Wang B; Ju L; Chen Y; He L; Xi W; Liu X; Ge Z; Zhang M
Eye (Lond); 2023 Jul; 37(10):2026-2032. PubMed ID: 36302974
[TBL] [Abstract][Full Text] [Related]
13. Classification of pachychoroid disease on ultrawide-field indocyanine green angiography using auto-machine learning platform.
Kim IK; Lee K; Park JH; Baek J; Lee WK
Br J Ophthalmol; 2021 Jun; 105(6):856-861. PubMed ID: 32620684
[TBL] [Abstract][Full Text] [Related]
14. Intelligent Diagnosis of Multiple Peripheral Retinal Lesions in Ultra-widefield Fundus Images Based on Deep Learning.
Wang T; Liao G; Chen L; Zhuang Y; Zhou S; Yuan Q; Han L; Wu S; Chen K; Wang B; Mi J; Gao Y; Lin J; Zhang M
Ophthalmol Ther; 2023 Apr; 12(2):1081-1095. PubMed ID: 36692813
[TBL] [Abstract][Full Text] [Related]
15. Development of a code-free machine learning model for the classification of cataract surgery phases.
Touma S; Antaki F; Duval R
Sci Rep; 2022 Feb; 12(1):2398. PubMed ID: 35165304
[TBL] [Abstract][Full Text] [Related]
16. Comparison of widefield swept-source optical coherence tomography angiography with ultra-widefield fluorescein angiography for the evaluation of lesions in retinal vein occlusion.
Siying L; Qiaozhu Z; Xinyao H; Linqi Z; Mingwei Z; Jinfeng Q
BMC Ophthalmol; 2022 Nov; 22(1):422. PubMed ID: 36344951
[TBL] [Abstract][Full Text] [Related]
17. Automated detection of retinal exudates and drusen in ultra-widefield fundus images based on deep learning.
Li Z; Guo C; Nie D; Lin D; Cui T; Zhu Y; Chen C; Zhao L; Zhang X; Dongye M; Wang D; Xu F; Jin C; Zhang P; Han Y; Yan P; Lin H
Eye (Lond); 2022 Aug; 36(8):1681-1686. PubMed ID: 34345030
[TBL] [Abstract][Full Text] [Related]
18. Classification of anatomic patterns of peripheral artery disease with automated machine learning (AutoML).
Rusinovich Y; Rusinovich V; Buhayenka A; Liashko V; Sabanov A; Holstein DJF; Aldmour S; Doss M; Branzan D
Vascular; 2024 Feb; ():17085381241236571. PubMed ID: 38404043
[TBL] [Abstract][Full Text] [Related]
19. Performance of Automated Machine Learning in Predicting Outcomes of Pneumatic Retinopexy.
Nisanova A; Yavary A; Deaner J; Ali FS; Gogte P; Kaplan R; Chen KC; Nudleman E; Grewal D; Gupta M; Wolfe J; Klufas M; Yiu G; Soltani I; Emami-Naeini P
Ophthalmol Sci; 2024; 4(5):100470. PubMed ID: 38827487
[TBL] [Abstract][Full Text] [Related]
20. Deep Learning for the Detection of Multiple Fundus Diseases Using Ultra-widefield Images.
Sun G; Wang X; Xu L; Li C; Wang W; Yi Z; Luo H; Su Y; Zheng J; Li Z; Chen Z; Zheng H; Chen C
Ophthalmol Ther; 2023 Apr; 12(2):895-907. PubMed ID: 36565376
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
