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Jane Scheetz

Showing results (21-30 of 31) with videos related to

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Investigative Ophthalmology & Visual Science|August 14, 2019
Role of Parental Refractive Status in Myopia Progression: 12-Year Annual Observation From the Guangzhou Twin Eye StudyChimei Liao, Xiaohu Ding, Xiaotong Han, et al.
Scientific Reports|March 14, 2018
Feasibility and patient acceptability of a novel artificial intelligence-based screening model for diabetic retinopathy at endocrinology outpatient services: a pilot studyStuart Keel, Pei Ying Lee, Jane Scheetz, et al.
The British Journal of Ophthalmology|September 6, 2019
Five-year changes in anterior segment parameters in an older population in urban southern China: the Liwan Eye StudyYu Jiang, Decai Wang, Wei Wang, et al.
Translational Vision Science & Technology|August 24, 2019
Development and Validation of a Smartphone-Based Visual Acuity Test (Vision at Home)Xiaotong Han, Jane Scheetz, Stuart Keel, et al.
Clinical & Experimental Ophthalmology|May 9, 2020
Visual impairment in highly myopic eyes: The ZOC-BHVI High Myopia Cohort StudyYu Jiang, Decai Wang, Xiaotong Han, et al.
Annals of Translational Medicine|September 16, 2022
Diabetes mellitus and incident glaucoma in Australia: a 10-year cohort study from the 45 and Up StudyYu Jiang, Guobei Xiao, Xiaotong Han, et al.
Clinical & Experimental Optometry|March 10, 2021
Distribution of intraocular pressure and related risk factors in a highly myopic Chinese population: an observational, cross-sectional studyZhixi Li, Shuhua Li, Ran Liu, et al.
Clinical & Experimental Ophthalmology|June 20, 2019
Development and validation of a deep-learning algorithm for the detection of neovascular age-related macular degeneration from colour fundus photographsStuart Keel, Zhixi Li, Jane Scheetz, et al.
Scientific Reports|August 5, 2021
Real-world artificial intelligence-based opportunistic screening for diabetic retinopathy in endocrinology and indigenous healthcare settings in AustraliaJane Scheetz, Dilara Koca, Myra McGuinness, et al.
Diabetes Care|October 3, 2018
An Automated Grading System for Detection of Vision-Threatening Referable Diabetic Retinopathy on the Basis of Color Fundus PhotographsZhixi Li, Stuart Keel, Chi Liu, et al.
Pageof 4

Showing results (21-30 of 31) with videos related to

Sort By:
Pageof 4
Investigative Ophthalmology & Visual Science|August 14, 2019
Role of Parental Refractive Status in Myopia Progression: 12-Year Annual Observation From the Guangzhou Twin Eye StudyChimei Liao, Xiaohu Ding, Xiaotong Han, et al.
Scientific Reports|March 14, 2018
Feasibility and patient acceptability of a novel artificial intelligence-based screening model for diabetic retinopathy at endocrinology outpatient services: a pilot studyStuart Keel, Pei Ying Lee, Jane Scheetz, et al.
The British Journal of Ophthalmology|September 6, 2019
Five-year changes in anterior segment parameters in an older population in urban southern China: the Liwan Eye StudyYu Jiang, Decai Wang, Wei Wang, et al.
Translational Vision Science & Technology|August 24, 2019
Development and Validation of a Smartphone-Based Visual Acuity Test (Vision at Home)Xiaotong Han, Jane Scheetz, Stuart Keel, et al.
Clinical & Experimental Ophthalmology|May 9, 2020
Visual impairment in highly myopic eyes: The ZOC-BHVI High Myopia Cohort StudyYu Jiang, Decai Wang, Xiaotong Han, et al.
Annals of Translational Medicine|September 16, 2022
Diabetes mellitus and incident glaucoma in Australia: a 10-year cohort study from the 45 and Up StudyYu Jiang, Guobei Xiao, Xiaotong Han, et al.
Clinical & Experimental Optometry|March 10, 2021
Distribution of intraocular pressure and related risk factors in a highly myopic Chinese population: an observational, cross-sectional studyZhixi Li, Shuhua Li, Ran Liu, et al.
Clinical & Experimental Ophthalmology|June 20, 2019
Development and validation of a deep-learning algorithm for the detection of neovascular age-related macular degeneration from colour fundus photographsStuart Keel, Zhixi Li, Jane Scheetz, et al.
Scientific Reports|August 5, 2021
Real-world artificial intelligence-based opportunistic screening for diabetic retinopathy in endocrinology and indigenous healthcare settings in AustraliaJane Scheetz, Dilara Koca, Myra McGuinness, et al.
Diabetes Care|October 3, 2018
An Automated Grading System for Detection of Vision-Threatening Referable Diabetic Retinopathy on the Basis of Color Fundus PhotographsZhixi Li, Stuart Keel, Chi Liu, et al.
Pageof 4