Barman, Sarah

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

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

Patient and practitioner perceptions around use of artificial intelligence within the English NHS diabetic eye screening programme

Wahlich, C., Chandrasekaran, L., Chaudhry, U. A. R., Willis, K., Chambers, R., Bolter, L., Anderson, J., Shakespeare, R., Olvera-Barrios, A., Fajtl, J., et al. (2025) · Diabetes Research and Clinical Practice

Artificial Intelligence in Healthcare and EducationRetinal Imaging and Analysis

Cited by 13