1. Sensitivity and specificity of computer vision classification of eyelid photographs for programmatic trachoma assessment;Kim;PLoS. One,2019
2. Development and deployment of a smartphone application for diagnosing trachoma: leveraging code-free deep learning and edge artificial intelligence;Milad;Saudi J. Ophthalmol.,2023
3. Prevalence and risk factors for Trachoma among primary school children in Sana'a city, Yemen;Al-Eryani;J. Pharmaceut. Res.,2021
4. Automated detection of age-related macular degeneration using a pre-trained deep-learning scheme;Kadry;J. Supercomput.,2022
5. Deep convolutional neural network based screening and assessment of age-related macular degeneration from fundus images;Govindaiah,2018