50 results on '"Soh, Zhi Da"'
Search Results
2. Assessment of angle closure disease in the age of artificial intelligence: A review
3. Deep Learning-based Quantification of Anterior Segment OCT Parameters
4. Associations between Chronic Kidney Disease and Thinning of Neuroretinal Layers in Multiethnic Asian and White Populations
5. Six-Year Incidence of Visual Impairment in a Multiethnic Asian Population: The Singapore Epidemiology of Eye Diseases Study
6. Use of Electronic Health Records, Disease Registries, and Health Insurance Databases in Ophthalmology
7. Glaucoma
8. Cardiovascular disease and thinning of retinal nerve fiber layer in a multi-ethnic Asian population: the Singapore epidemiology of eye diseases study
9. Correction: From 2 dimensions to 3rd dimension: Quantitative prediction of anterior chamber depth from anterior segment photographs via deep-learning
10. Association between Macular Thickness Profiles and Visual Function in Healthy Eyes: The Singapore Epidemiology of Eye Diseases (SEED) Study
11. Big Data in Ophthalmology
12. Deep Learning Algorithms to Isolate and Quantify the Structures of the Anterior Segment in Optical Coherence Tomography Images.
13. From 2 dimensions to 3rd dimension: Quantitative prediction of anterior chamber depth from anterior segment photographs via deep-learning
14. Additional file 1 of Assessment of anxiety and depression in patients with Posner-Schlossman syndrome
15. Six-Year Incidence and Risk Factors for Primary Angle-Closure Disease
16. Smartphone-Acquired Anterior Segment Images for Deep Learning Prediction of Anterior Chamber Depth: A Proof-of-Concept Study
17. Machine learning identifying peripheral circulating metabolites associated with intraocular pressure alterations
18. Retinal Nerve Fiber Layer Thickness and Rim Area Profiles in Asians
19. From 2 dimensions to 3rd dimension: Quantitative prediction of anterior chamber depth from anterior segment photographs via deep-learning.
20. Gender Prediction for a Multiethnic Population via Deep Learning Across Different Retinal Fundus Photograph Fields: Retrospective Cross-sectional Study
21. Deep learning algorithms for automatic detection of pterygium using anterior segment photographs from slit-lamp and hand-held cameras
22. Corrigendum to: Cohort profile: The Singapore Epidemiology of Eye Diseases Study (SEED)
23. Response to: Revisiting the Problem of Optic Nerve Detection in a Retinal Image Using Automated Machine Learning
24. Retinal photograph-based deep learning predicts biological age, and stratifies morbidity and mortality risk.
25. Utilisation of poor-quality optical coherence tomography scans: adjustment algorithm from the Singapore Epidemiology of Eye Diseases (SEED) study
26. Cohort Profile: The Singapore Epidemiology of Eye Diseases study (SEED)
27. Normative profiles of neuroretinal rim area in a multiethnic Asian population: the Singapore Epidemiology of Eye Diseases study
28. Gender Prediction for a Multiethnic Population via Deep Learning Across Different Retinal Fundus Photograph Fields: Retrospective Cross-sectional Study (Preprint)
29. Deep learning algorithms to isolate and quantify the structures of the anterior segment in optical coherence tomography images
30. Asian‐specific vertical cup‐to‐disc ratio cut‐off for glaucoma screening: An evidence‐based recommendation from a multi‐ethnic Asian population
31. Deep Learning for Automated Sorting of Retinal Photographs
32. Comparison of myopic progression in Finnish and Singaporean children
33. Albuminuria and Primary Open-Angle Glaucoma: the Singapore Chinese Eye Study (SCES)
34. Association Between Visual Impairment and Decline in Cognitive Function in a Multiethnic Asian Population
35. Iris and its relevance to angle closure disease: a review
36. Normative patterns and factors associated with presbyopia progression in a multiethnic Asian population: the Singapore Epidemiology of Eye Diseases Study
37. Profile of retinal nerve fibre layer symmetry in a multiethnic Asian population: the Singapore Epidemiology of Eye Diseases study
38. Utilisation of poor-quality optical coherence tomography scans: adjustment algorithm from the Singapore Epidemiology of Eye Diseases (SEED) study
39. Normative profiles of neuroretinal rim area in a multiethnic Asian population: the Singapore Epidemiology of Eye Diseases study
40. Deep learning algorithms for automatic detection of pterygium using anterior segment photographs from slit-lamp and hand-held cameras
41. Comparison of myopic progression in Finnish and Singaporean children.
42. Deep learning algorithms to isolate and quantify the structures of the anterior segment in optical coherence tomography images
43. Iris and its relevance to angle closure disease: a review
44. Albuminuria and Primary Open-Angle Glaucoma: the Singapore Chinese Eye Study (SCES)
45. Epithelium-on photorefractive intrastromal cross-linking (PiXL) for reduction of low myopia
46. Profile of retinal nerve fibre layer symmetry in a multiethnic Asian population: the Singapore Epidemiology of Eye Diseases study
47. Machine learning identifying peripheral circulating metabolites associated with intraocular pressure alterations.
48. Deep Learning-based Quantification of Anterior Segment OCT Parameters.
49. Associations between Chronic Kidney Disease and Thinning of Neuroretinal Layers in Multiethnic Asian and White Populations.
50. Application of big data in ophthalmology.
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