Assessment of automated identification of phases in videos of cataract surgery using machine learning and deep learning techniques F Yu, GS Croso, TS Kim, Z Song, F Parker, GD Hager, A Reiter, ... JAMA network open 2 (4), e191860-e191860, 2019 | 99 | 2019 |
Optimal resource and demand redistribution for healthcare systems under stress from COVID-19 F Parker, H Sawczuk, F Ganjkhanloo, F Ahmadi, K Ghobadi arXiv preprint arXiv:2011.03528, 2020 | 31 | 2020 |
An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation K Nixon, S Jindal, F Parker, NG Reich, K Ghobadi, EC Lee, S Truelove, ... The Lancet Digital Health 4 (10), e738-e747, 2022 | 27 | 2022 |
Deep learning detection of sea fan neovascularization from ultra-widefield color fundus photographs of patients with sickle cell hemoglobinopathy S Cai, F Parker, MG Urias, MF Goldberg, GD Hager, AW Scott JAMA ophthalmology 139 (2), 206-213, 2021 | 18 | 2021 |
Real-time COVID-19 forecasting: challenges and opportunities of model performance and translation K Nixon, S Jindal, F Parker, M Marshall, NG Reich, K Ghobadi, EC Lee, ... The Lancet Digital Health 4 (10), e699-e701, 2022 | 10 | 2022 |
Machine learning in laryngoscopy analysis: a proof of concept observational study for the identification of post-extubation ulcerations and granulomas F Parker, MB Brodsky, LM Akst, H Ali Annals of Otology, Rhinology & Laryngology 130 (3), 286-291, 2021 | 10 | 2021 |
The phantom alignment strength conjecture: practical use of graph matching alignment strength to indicate a meaningful graph match DE Fishkind, F Parker, H Sawczuk, L Meng, E Bridgeford, A Athreya, ... Applied Network Science 6 (1), 62, 2021 | 5 | 2021 |
An Interactive Decision-Support Dashboard for Optimal Hospital Capacity Management F Parker, DA Martínez, J Scheulen, K Ghobadi arXiv preprint arXiv:2403.15634, 2024 | 1 | 2024 |
Optimal Hospital Capacity Management During Demand Surges F Parker, F Ganjkhanloo, DA Martínez, K Ghobadi arXiv preprint arXiv:2403.15738, 2024 | | 2024 |
When are predictions useful? A new method for evaluating epidemic forecasts M Marshall, F Parker, LM Gardner medRxiv, 2023.06. 29.23292042, 2023 | | 2023 |
Translating Data in a Pandemic 1 An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation K Nixon, S Jindal, F Parker, NG Reich, K Ghobadi, EC Lee, S Truelove, ... | | |