COVID-19 Modeling: A Review

16 April 2021

Papers citing "COVID-19 Modeling: A Review"

10 / 10 papers shown

Title
ClinicLens: Visual Analytics for Exploring and Optimizing the Testing Capacity of Clinics given Uncertainty Yu Dong Jie Liang LongBing Cao D. Catchpoole 30 0 0 23 Mar 2023
Approaching epidemiological dynamics of COVID-19 with physics-informed neural networks Shuai Han Lukas Stelz Horst Stoecker Lei Wang Kai Zhou AI4CE PINN 34 10 0 17 Feb 2023
A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the USA Benjamin Lucas Behzad Vahedi M. Karimzadeh OOD 37 31 0 24 Sep 2021
Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil M. Ribeiro Ramon Gomes da Silva V. Mariani L. Coelho 57 421 0 21 Jul 2020
Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables Ramon Gomes da Silva M. Ribeiro V. Mariani L. Coelho 51 112 0 21 Jul 2020
COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images E. E. Hemdan M. Shouman Mohamed E. Karar 88 1,013 0 24 Mar 2020
Automatic Detection of Coronavirus Disease (COVID-19) Using X-ray Images and Deep Convolutional Neural Networks A. Narin Ceren Kaya Ziynet Pamuk 80 1,762 0 24 Mar 2020
Modelling transmission and control of the COVID-19 pandemic in Australia S. Chang Nathan Harding C. Zachreson Oliver M. Cliff M. Prokopenko 49 550 0 23 Mar 2020
Composite Monte Carlo Decision Making under High Uncertainty of Novel Coronavirus Epidemic Using Hybridized Deep Learning and Fuzzy Rule Induction S. Fong Gloria Li N. Dey R. G. Crespo E. Herrera-Viedma 85 188 0 22 Mar 2020
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 316 10,621 0 19 Feb 2017