Evaluating a Deep Learning Diabetic Retinopathy Grading System Developed on Mydriatic Retinal Images When Applied to Non-Mydriatic Community Screening

por Nunez do Rio, Joan M., Nderitu, Paul, Bergeles, Christos, Sivaprasad, Sobha, Tan, Gavin S. W., Raman, Rajiv
Publicado 2022

Deep Learning-Based Segmentation and Quantification of Retinal Capillary Non-Perfusion on Ultra-Wide-Field Retinal Fluorescein Angiography

por Nunez do Rio, Joan M., Sen, Piyali, Rasheed, Rajna, Bagchi, Akanksha, Nicholson, Luke, Dubis, Adam M., Bergeles, Christos, Sivaprasad, Sobha
Publicado 2020

Using deep learning to detect diabetic retinopathy on handheld non-mydriatic retinal images acquired by field workers in community settings

por Nunez do Rio, Joan M., Nderitu, Paul, Raman, Rajiv, Rajalakshmi, Ramachandran, Kim, Ramasamy, Rani, Padmaja K., Sivaprasad, Sobha, Bergeles, Christos
Publicado 2023

Automated image curation in diabetic retinopathy screening using deep learning

por Nderitu, Paul, Nunez do Rio, Joan M., Webster, Ms Laura, Mann, Samantha S., Hopkins, David, Cardoso, M. Jorge, Modat, Marc, Bergeles, Christos, Jackson, Timothy L.
Publicado 2022