• Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients 

      Khozeimeh, Fahime; Sharifrazi, Danial; Izadi, Navid Hoseini; Joloudari, Javad Hassannataj; Shoeibi, Afshin; Alizadehsani, Roohallah; Gorriz, Juan M.; Hussain, Sadiq; Sani, Zahra Alizadeh; Moosaei, Hossein; Khosravi, Abbas; Nahavandi, Saeid; Islam, Sheikh Mohammed Shariful
      Published 2021
      COVID-19 has caused many deaths worldwide. The automation of the diagnosis of this virus is highly desired. Convolutional neural networks (CNNs) have shown outstanding classification performance on image datasets. To date, ...
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