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Gerald Liew

Showing results (211-220 of 222) with videos related to

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The British Journal of Ophthalmology|January 22, 2017
Five-year progression of unilateral age-related macular degeneration to bilateral involvement: the Three Continent AMD Consortium reportNichole Joachim, Johanna Maria Colijn, Annette Kifley, et al.
Ophthalmology. Retina|May 4, 2019
Joint Contribution of Genetic Susceptibility and Modifiable Factors to the Progression of Age-Related Macular Degeneration over 10 Years: The Three Continent AMD Consortium ReportNichole Joachim, Annette Kifley, Johanna Maria Colijn, et al.
The British Journal of Ophthalmology|July 20, 2024
Deep learning-based image quality assessment for optical coherence tomography macular scans: a multicentre studyZiqi Tang, Xi Wang, An Ran Ran, et al.
Diabetes Care|July 28, 2021
A Multitask Deep-Learning System to Classify Diabetic Macular Edema for Different Optical Coherence Tomography Devices: A Multicenter AnalysisFangyao Tang, Xi Wang, An-Ran Ran, et al.
Diabetes|September 28, 2017
Genetically Determined Plasma Lipid Levels and Risk of Diabetic Retinopathy: A Mendelian Randomization StudyLucia Sobrin, Yong He Chong, Qiao Fan, et al.
Acta Ophthalmologica|September 5, 2018
A genome-wide association study suggests new evidence for an association of the NADPH Oxidase 4 (NOX4) gene with severe diabetic retinopathy in type 2 diabetesWeihua Meng, Kaanan P Shah, Samuela Pollack, et al.
Plos One|January 18, 2013
Insights into the genetic architecture of early stage age-related macular degeneration: a genome-wide association study meta-analysisElizabeth G Holliday, Albert V Smith, Belinda K Cornes, et al.
Plos One|February 9, 2013
Genome-wide association study of retinopathy in individuals without diabetesRichard A Jensen, Xueling Sim, Xiaohui Li, et al.
The Lancet. Digital Health|May 1, 2025
Non-invasive biopsy diagnosis of diabetic kidney disease via deep learning applied to retinal images: a population-based studyZiyao Meng, Zhouyu Guan, Shujie Yu, et al.
Plos Genetics|November 10, 2010
Four novel Loci (19q13, 6q24, 12q24, and 5q14) influence the microcirculation in vivoM Kamran Ikram, Xueling Sim, Sim Xueling, et al.
Pageof 23

Showing results (211-220 of 222) with videos related to

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Pageof 23
The British Journal of Ophthalmology|January 22, 2017
Five-year progression of unilateral age-related macular degeneration to bilateral involvement: the Three Continent AMD Consortium reportNichole Joachim, Johanna Maria Colijn, Annette Kifley, et al.
Ophthalmology. Retina|May 4, 2019
Joint Contribution of Genetic Susceptibility and Modifiable Factors to the Progression of Age-Related Macular Degeneration over 10 Years: The Three Continent AMD Consortium ReportNichole Joachim, Annette Kifley, Johanna Maria Colijn, et al.
The British Journal of Ophthalmology|July 20, 2024
Deep learning-based image quality assessment for optical coherence tomography macular scans: a multicentre studyZiqi Tang, Xi Wang, An Ran Ran, et al.
Diabetes Care|July 28, 2021
A Multitask Deep-Learning System to Classify Diabetic Macular Edema for Different Optical Coherence Tomography Devices: A Multicenter AnalysisFangyao Tang, Xi Wang, An-Ran Ran, et al.
Diabetes|September 28, 2017
Genetically Determined Plasma Lipid Levels and Risk of Diabetic Retinopathy: A Mendelian Randomization StudyLucia Sobrin, Yong He Chong, Qiao Fan, et al.
Acta Ophthalmologica|September 5, 2018
A genome-wide association study suggests new evidence for an association of the NADPH Oxidase 4 (NOX4) gene with severe diabetic retinopathy in type 2 diabetesWeihua Meng, Kaanan P Shah, Samuela Pollack, et al.
Plos One|January 18, 2013
Insights into the genetic architecture of early stage age-related macular degeneration: a genome-wide association study meta-analysisElizabeth G Holliday, Albert V Smith, Belinda K Cornes, et al.
Plos One|February 9, 2013
Genome-wide association study of retinopathy in individuals without diabetesRichard A Jensen, Xueling Sim, Xiaohui Li, et al.
The Lancet. Digital Health|May 1, 2025
Non-invasive biopsy diagnosis of diabetic kidney disease via deep learning applied to retinal images: a population-based studyZiyao Meng, Zhouyu Guan, Shujie Yu, et al.
Plos Genetics|November 10, 2010
Four novel Loci (19q13, 6q24, 12q24, and 5q14) influence the microcirculation in vivoM Kamran Ikram, Xueling Sim, Sim Xueling, et al.
Pageof 23