Hogg, Ruth E.

A foundation model for generalizable disease detection from retinal images

Zhou, Y., Chia, M. A., Wagner, S. K., Ayhan, M. S., Williamson, D. J., Struyven, R. R., Liu, T., Xu, M., Lozano, M. G., Woodward-Court, P., et al. (2023) · Nature

Retinal Imaging and AnalysisOphthalmology and Visual Health Research

Cited by 1,014

Common variants near FRK/COL10A1 and VEGFA are associated with advanced age-related macular degeneration

Yu, Y., Bhangale, T. R., Fagerness, J., Ripke, S., Thorleifsson, G., Tan, P. L., Souied, E. H., Richardson, A. J., Merriam, J. E., Buitendijk, G. H. S., et al. (2011) · Human Molecular Genetics

Retinal Diseases and TreatmentsGenetic Associations and Epidemiology

Cited by 254

Cardiovascular Disease and Hypertension Are Strong Risk Factors for Choroidal Neovascularization

Hogg, R. E., Woodside, J. V., Gilchrist, S. E. C. M., Graydon, R., Fletcher, A. E., Chan, W., Knox, A., Cartmill, B., & Chakravarthy, U. (2008) · Ophthalmology

Retinal Diseases and TreatmentsRetinal Imaging and Analysis

Cited by 148

Genome-wide association meta-analysis for early age-related macular degeneration highlights novel loci and insights for advanced disease

Winkler, T. W., Grassmann, F., Brandl, C., Kiel, C., Günther, F., Strunz, T., Weidner, L., Zimmermann, M. E., Korb, C. A., Poplawski, A., et al. (2020) · BMC Medical Genomics

Retinal Diseases and TreatmentsGenetic Associations and Epidemiology

Cited by 138

Identification of lesion components that influence visual function in age related macular degeneration

Hogg, R. (2003) · British Journal of Ophthalmology

Retinal Diseases and TreatmentsRetinal Imaging and Analysis

Cited by 60

Evaluation of Shared Genetic Susceptibility to High and Low Myopia and Hyperopia

Tideman, J. W. L., Pärssinen, O., Haarman, A. E. G., Khawaja, A. P., Wedenoja, J., Williams, K. M., Biino, G., Ding, X., Kähönen, M., Lehtimäki, T., et al. (2021) · JAMA Ophthalmology

Ophthalmology and Visual Impairment StudiesGenetic Associations and Epidemiology

Cited by 56

Retinal Asymmetry in Multiple Sclerosis

Petzold, A., Chua, S. Y. L., Khawaja, A. P., Keane, P. A., Khaw, P. T., Reisman, C., Dhillon, B., Strouthidis, N. G., Foster, P. J., Patel, P. J., et al. (2021) · Brain

Multiple Sclerosis Research StudiesGlaucoma and retinal disorders

Cited by 56

Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes

Betzler, B. K., Chee, E. Y. L., He, F., Lim, C. C., Ho, J., Hamzah, H., Tan, N. C., Liew, G., McKay, G. J., Hogg, R. E., et al. (2023) · Journal of the American Medical Informatics Association

Retinal Imaging and AnalysisChronic Kidney Disease and Diabetes

Cited by 42

Identifying the severity of diabetic retinopathy by visual function measures using both traditional statistical methods and interpretable machine learning: a cross-sectional study

Wright, D. M., Chakravarthy, U., Das, R., Graham, K. W., Naskas, T. T., Perais, J., Kee, F., Peto, T., & Hogg, R. E. (2023) · Diabetologia

Retinal Diseases and TreatmentsRetinal Imaging and Analysis

Cited by 10