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Radiology C+EffxNet: A novel hybrid approach for COVID-19 diagnosis on CT Images based on CBAM and EfficientNet. August 11, 2021
Data Science | Epidemiology | Public Health Forecasting of COVID-19 using deep layer Recurrent Neural Networks (RNNs) with Gated Recurrent Units (GRUs) and Long Short-Term Memory (LSTM) cells. March 22, 2021
Pulmonology | Radiology Using Handpicked Features in Conjunction with ResNet-50 for Improved Detection of COVID-19 from Chest X-Ray Images. February 16, 2021
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Infectious Diseases | Medical Informatics Comparison of deep learning approaches to predict COVID-19 infection. February 1, 2021
Data Science | Epidemiology | Public Health Prediction of COVID-19 Confirmed Cases Combining Deep Learning Methods and Bayesian Optimization. December 7, 2020
Infectious Diseases | Machine Learning | Radiology CoroDet: A deep learning based classification for COVID-19 detection using chest X-ray images. November 30, 2020
Data Science | Epidemiology | Public Health Forecasting spread of COVID-19 using Google Trends: A hybrid GWO-Deep learning approach. October 28, 2020
Epidemiology | Public Health | Virology A Survey on Artificial Intelligence Approaches in Supporting Frontline Workers and Decision Makers for COVID-19 Pandemic. October 19, 2020