Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods

por Ayoobi, Nooshin, Sharifrazi, Danial, Alizadehsani, Roohallah, Shoeibi, Afshin, Gorriz, Juan M., Moosaei, Hossein, Khosravi, Abbas, Nahavandi, Saeid, Gholamzadeh Chofreh, Abdoulmohammad, Goni, Feybi Ariani, Klemeš, Jiří Jaromír, Mosavi, Amir
Publicado 2021

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

por 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
Publicado 2021

Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images

por Sharifrazi, Danial, Alizadehsani, Roohallah, Roshanzamir, Mohamad, Joloudari, Javad Hassannataj, Shoeibi, Afshin, Jafari, Mahboobeh, Hussain, Sadiq, Sani, Zahra Alizadeh, Hasanzadeh, Fereshteh, Khozeimeh, Fahime, Khosravi, Abbas, Nahavandi, Saeid, Panahiazar, Maryam, Zare, Assef, Islam, Sheikh Mohammed Shariful, Acharya, U. Rajendra
Publicado 2021

RF-CNN-F: random forest with convolutional neural network features for coronary artery disease diagnosis based on cardiac magnetic resonance

por Khozeimeh, Fahime, Sharifrazi, Danial, Izadi, Navid Hoseini, Joloudari, Javad Hassannataj, Shoeibi, Afshin, Alizadehsani, Roohallah, Tartibi, Mehrzad, Hussain, Sadiq, Sani, Zahra Alizadeh, Khodatars, Marjane, Sadeghi, Delaram, Khosravi, Abbas, Nahavandi, Saeid, Tan, Ru-San, Acharya, U. Rajendra, Islam, Sheikh Mohammed Shariful
Publicado 2022