Khaw, Peng T.

Clinically applicable deep learning for diagnosis and referral in retinal disease

De Fauw, J., Ledsam, J. R., Romera-Paredes, B., Nikolov, S., Tomasev, N., Blackwell, S., Askham, H., Glorot, X., O’Donoghue, B., Visentin, D., et al. (2018) · Nature Medicine

Retinal Imaging and AnalysisRetinal Diseases and Treatments

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The Lancet Global Health Commission on Global Eye Health: vision beyond 2020

Burton, M. J., Ramke, J., Marques, A. P., Bourne, R. R. A., Congdon, N., Jones, I., Ah Tong, B. A. M., Arunga, S., Bachani, D., Bascaran, C., et al. (2021) · The Lancet Global Health

Ophthalmology and Visual Impairment StudiesGlaucoma and retinal disorders

Cited by 1,624

Predicting conversion to wet age-related macular degeneration using deep learning

Yim, J., Chopra, R., Spitz, T., Winkens, J., Obika, A., Kelly, C., Askham, H., Lukic, M., Huemer, J., Fasler, K., et al. (2020) · Nature Medicine

Retinal Imaging and AnalysisRetinal Diseases and Treatments

Cited by 297

Principles of pharmacology in the eye

Awwad, S., Mohamed Ahmed, A. H. A., Sharma, G., Heng, J. S., Khaw, P. T., Brocchini, S., & Lockwood, A. (2017) · British Journal of Pharmacology

Advanced Drug Delivery SystemsOcular Infections and Treatments

Cited by 224

The economics of vision impairment and its leading causes: A systematic review

Marques, A. P., Ramke, J., Cairns, J., Butt, T., Zhang, J. H., Jones, I., Jovic, M., Nandakumar, A., Faal, H., Taylor, H., et al. (2022) · eClinicalMedicine

Ophthalmology and Visual Impairment StudiesHealth Systems, Economic Evaluations, Quality of Life

Cited by 137

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

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