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Sharifrazi, D. and Alizadehsani, R. and Roshanzamir, M. and Joloudari, J.H. and Shoeibi, A. and Jafari, M. and Hussain, S. and Sani, Z.A. and Hasanzadeh, F. and Khozeimeh, F. and Khosravi, A. and Nahavandi, S. and Panahiazar, M. and Zare, A. and Islam, S.M.S. and Acharya, U.R. (2021) Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images. Biomedical Signal Processing and Control, 68.
Alizadehsani, R. and Alizadeh Sani, Z. and Behjati, M. and Roshanzamir, Z. and Hussain, S. and Abedini, N. and Hasanzadeh, F. and Khosravi, A. and Shoeibi, A. and Roshanzamir, M. and Moradnejad, P. and Nahavandi, S. and Khozeimeh, F. and Zare, A. and Panahiazar, M. and Acharya, U.R. and Islam, S.M.S. (2021) Risk factors prediction, clinical outcomes, and mortality in COVID-19 patients. Journal of Medical Virology, 93 (4). pp. 2307-2320.
Alizadehsani, R. and Habibi, J. and Hosseini, M.J. and Mashayekhi, H. and Boghrati, R. and Ghandeharioun, A. and Bahadorian, B. and Sani, Z.A. (2013) A data mining approach for diagnosis of coronary artery disease. Computer Methods and Programs in Biomedicine, 111 (1). pp. 52-61.
Alizadehsani, R. and Habibi, J. and Bahadorian, B. and Mashayekhi, H. and Ghandeharioun, A. and Boghrati, R. and Sani, Z. (2012) Diagnosis of coronary arteries stenosis using data mining. Journal of Medical Signals and Sensors, 2 (3). pp. 153-160.
