215 related articles for article (PubMed ID: 36614953)
1. Application of Deep Learning to Retinal-Image-Based Oculomics for Evaluation of Systemic Health: A Review.
Wu JH; Liu TYA
J Clin Med; 2022 Dec; 12(1):. PubMed ID: 36614953
[TBL] [Abstract][Full Text] [Related]
2. Using Artificial Intelligence to Analyse the Retinal Vascular Network: The Future of Cardiovascular Risk Assessment Based on Oculomics? A Narrative Review.
Arnould L; Meriaudeau F; Guenancia C; Germanese C; Delcourt C; Kawasaki R; Cheung CY; Creuzot-Garcher C; Grzybowski A
Ophthalmol Ther; 2023 Apr; 12(2):657-674. PubMed ID: 36562928
[TBL] [Abstract][Full Text] [Related]
3. Retina Oculomics in Neurodegenerative Disease.
Suh A; Ong J; Kamran SA; Waisberg E; Paladugu P; Zaman N; Sarker P; Tavakkoli A; Lee AG
Ann Biomed Eng; 2023 Dec; 51(12):2708-2721. PubMed ID: 37855949
[TBL] [Abstract][Full Text] [Related]
4. Insights into Systemic Disease through Retinal Imaging-Based Oculomics.
Wagner SK; Fu DJ; Faes L; Liu X; Huemer J; Khalid H; Ferraz D; Korot E; Kelly C; Balaskas K; Denniston AK; Keane PA
Transl Vis Sci Technol; 2020 Feb; 9(2):6. PubMed ID: 32704412
[TBL] [Abstract][Full Text] [Related]
5. Oculomics: A Crusade Against the Four Horsemen of Chronic Disease.
Patterson EJ; Bounds AD; Wagner SK; Kadri-Langford R; Taylor R; Daly D
Ophthalmol Ther; 2024 Jun; 13(6):1427-1451. PubMed ID: 38630354
[TBL] [Abstract][Full Text] [Related]
6. An Overview of Deep-Learning-Based Methods for Cardiovascular Risk Assessment with Retinal Images.
Barriada RG; Masip D
Diagnostics (Basel); 2022 Dec; 13(1):. PubMed ID: 36611360
[TBL] [Abstract][Full Text] [Related]
7. Artificial Intelligence in Predicting Systemic Parameters and Diseases From Ophthalmic Imaging.
Betzler BK; Rim TH; Sabanayagam C; Cheng CY
Front Digit Health; 2022; 4():889445. PubMed ID: 35706971
[TBL] [Abstract][Full Text] [Related]
8. Vision transformers: The next frontier for deep learning-based ophthalmic image analysis.
Wu JH; Koseoglu ND; Jones C; Liu TYA
Saudi J Ophthalmol; 2023; 37(3):173-178. PubMed ID: 38074310
[TBL] [Abstract][Full Text] [Related]
9. AlzEye: longitudinal record-level linkage of ophthalmic imaging and hospital admissions of 353 157 patients in London, UK.
Wagner SK; Hughes F; Cortina-Borja M; Pontikos N; Struyven R; Liu X; Montgomery H; Alexander DC; Topol E; Petersen SE; Balaskas K; Hindley J; Petzold A; Rahi JS; Denniston AK; Keane PA
BMJ Open; 2022 Mar; 12(3):e058552. PubMed ID: 35296488
[TBL] [Abstract][Full Text] [Related]
10. Prediction of systemic biomarkers from retinal photographs: development and validation of deep-learning algorithms.
Rim TH; Lee G; Kim Y; Tham YC; Lee CJ; Baik SJ; Kim YA; Yu M; Deshmukh M; Lee BK; Park S; Kim HC; Sabayanagam C; Ting DSW; Wang YX; Jonas JB; Kim SS; Wong TY; Cheng CY
Lancet Digit Health; 2020 Oct; 2(10):e526-e536. PubMed ID: 33328047
[TBL] [Abstract][Full Text] [Related]
11. The upcoming role of Artificial Intelligence (AI) for retinal and glaucomatous diseases.
Ferro Desideri L; Rutigliani C; Corazza P; Nastasi A; Roda M; Nicolo M; Traverso CE; Vagge A
J Optom; 2022; 15 Suppl 1(Suppl 1):S50-S57. PubMed ID: 36216736
[TBL] [Abstract][Full Text] [Related]
12. Effects of Hypertension, Diabetes, and Smoking on Age and Sex Prediction from Retinal Fundus Images.
Kim YD; Noh KJ; Byun SJ; Lee S; Kim T; Sunwoo L; Lee KJ; Kang SH; Park KH; Park SJ
Sci Rep; 2020 Mar; 10(1):4623. PubMed ID: 32165702
[TBL] [Abstract][Full Text] [Related]
13. Early Glaucoma Detection by Using Style Transfer to Predict Retinal Nerve Fiber Layer Thickness Distribution on the Fundus Photograph.
Chen HS; Chen GA; Syu JY; Chuang LH; Su WW; Wu WC; Liu JH; Chen JR; Huang SC; Kang EY
Ophthalmol Sci; 2022 Sep; 2(3):100180. PubMed ID: 36245759
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. The possibility of the combination of OCT and fundus images for improving the diagnostic accuracy of deep learning for age-related macular degeneration: a preliminary experiment.
Yoo TK; Choi JY; Seo JG; Ramasubramanian B; Selvaperumal S; Kim DW
Med Biol Eng Comput; 2019 Mar; 57(3):677-687. PubMed ID: 30349958
[TBL] [Abstract][Full Text] [Related]
16. Predicting Systemic Health Features from Retinal Fundus Images Using Transfer-Learning-Based Artificial Intelligence Models.
Khan NC; Perera C; Dow ER; Chen KM; Mahajan VB; Mruthyunjaya P; Do DV; Leng T; Myung D
Diagnostics (Basel); 2022 Jul; 12(7):. PubMed ID: 35885619
[TBL] [Abstract][Full Text] [Related]
17. Integrating oculomics with genomics reveals imaging biomarkers for preventive and personalized prediction of arterial aneurysms.
Huang Y; Li C; Shi D; Wang H; Shang X; Wang W; Zhang X; Zhang X; Hu Y; Tang S; Liu S; Luo S; Zhao K; Mordi IR; Doney ASF; Yang X; Yu H; Li X; He M
EPMA J; 2023 Mar; 14(1):73-86. PubMed ID: 36866161
[TBL] [Abstract][Full Text] [Related]
18. Deep learning-based fundus image analysis for cardiovascular disease: a review.
Chikumba S; Hu Y; Luo J
Ther Adv Chronic Dis; 2023; 14():20406223231209895. PubMed ID: 38028950
[TBL] [Abstract][Full Text] [Related]
19. Gender Prediction for a Multiethnic Population via Deep Learning Across Different Retinal Fundus Photograph Fields: Retrospective Cross-sectional Study.
Betzler BK; Yang HHS; Thakur S; Yu M; Quek TC; Soh ZD; Lee G; Tham YC; Wong TY; Rim TH; Cheng CY
JMIR Med Inform; 2021 Aug; 9(8):e25165. PubMed ID: 34402800
[TBL] [Abstract][Full Text] [Related]
20. Oculomics analysis in multiple sclerosis: Current ophthalmic clinical and imaging biomarkers.
Suh A; Hampel G; Vinjamuri A; Ong J; Kamran SA; Waisberg E; Paladugu P; Zaman N; Sarker P; Tavakkoli A; Lee AG
Eye (Lond); 2024 Jun; ():. PubMed ID: 38858520
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
