Zangwill, Linda M.

Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs

Christopher, M., Belghith, A., Bowd, C., Proudfoot, J. A., Goldbaum, M. H., Weinreb, R. N., Girkin, C. A., Liebmann, J. M., & Zangwill, L. M. (2018) · Scientific Reports

Retinal Imaging and AnalysisGlaucoma and retinal disorders

Cited by 328

Development and Validation of a Deep Learning System to Detect Glaucomatous Optic Neuropathy Using Fundus Photographs

Liu, H., Li, L., Wormstone, I. M., Qiao, C., Zhang, C., Liu, P., Li, S., Wang, H., Mou, D., Pang, R., et al. (2019) · JAMA Ophthalmology

Retinal Imaging and AnalysisGlaucoma and retinal disorders

Cited by 307

Diurnal intraocular pressure variations: an analysis of 690 diurnal curves.

David, R., Zangwill, L., Briscoe, D., Dagan, M., Yagev, R., & Yassur, Y. (1992) · British Journal of Ophthalmology

Glaucoma and retinal disordersBlood Pressure and Hypertension Studies

Cited by 263

A mathematical description of nerve fiber bundle trajectories and their variability in the human retina

Jansonius, N. M., Nevalainen, J., Selig, B., Zangwill, L. M., Sample, P. A., Budde, W. M., Jonas, J. B., Lagrèze, W. A., Airaksinen, P. J., Vonthein, R., et al. (2009) · Vision Research

Glaucoma and retinal disordersRetinal Imaging and Analysis

Cited by 155

Evaluating the neuroprotective impact of senolytic drugs on human vision

El-Nimri, N. W., Moore, S. M., Zangwill, L. M., Proudfoot, J. A., Weinreb, R. N., Skowronska-Krawczyk, D., & Baxter, S. L. (2020) · Scientific Reports

Glaucoma and retinal disordersTelomeres, Telomerase, and Senescence

Cited by 22