Naama Hammel
Google (United States)(US)
Publications by Year
Research Areas
Retinal Imaging and Analysis, Glaucoma and retinal disorders, Retinal Diseases and Treatments, Retinal and Optic Conditions, Corneal surgery and disorders
Most-Cited Works
- → Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy(2018)411 cited
- → Detection of anaemia from retinal fundus images via deeplearning(2019)221 cited
- → Rates of Retinal Nerve Fiber Layer Thinning in Glaucoma Suspect Eyes(2014)203 cited
- → Deep Learning and Glaucoma Specialists(2019)181 cited
- → Comparing the Rates of Retinal Nerve Fiber Layer and Ganglion Cell–Inner Plexiform Layer Loss in Healthy Eyes and in Glaucoma Eyes(2017)130 cited
- → Detection of signs of disease in external photographs of the eyes via deep learning(2022)93 cited
- → Lessons learned from translating AI from development to deployment in healthcare(2023)60 cited
- → The African Descent and Glaucoma Evaluation Study (ADAGES): Predictors of Visual Field Damage in Glaucoma Suspects(2015)56 cited
- → Deep Learning to Detect OCT-derived Diabetic Macular Edema from Color Retinal Photographs(2022)54 cited
- → Using generative AI to investigate medical imagery models and datasets(2024)50 cited