| A data mining approach for diagnosis of coronary artery disease R Alizadehsani, J Habibi, MJ Hosseini, H Mashayekhi, R Boghrati, ... Computer methods and programs in biomedicine 111 (1), 52-61, 2013 | 352 | 2013 |
| Automated detection and forecasting of covid-19 using deep learning techniques: A review A Shoeibi, M Khodatars, M Jafari, N Ghassemi, D Sadeghi, P Moridian, ... Neurocomputing, 127317, 2024 | 249 | 2024 |
| Risk factors prediction, clinical outcomes, and mortality in COVID‐19 patients R Alizadehsani, Z Alizadeh Sani, M Behjati, Z Roshanzamir, S Hussain, ... Journal of medical virology 93 (4), 2307-2320, 2021 | 180 | 2021 |
| Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images D Sharifrazi, R Alizadehsani, M Roshanzamir, JH Joloudari, A Shoeibi, ... Biomedical Signal Processing and Control 68, 102622, 2021 | 156 | 2021 |
| Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients F Khozeimeh, D Sharifrazi, NH Izadi, JH Joloudari, A Shoeibi, ... Scientific Reports 11 (1), 15343, 2021 | 105 | 2021 |
| Diagnosis of coronary artery disease using cost-sensitive algorithms R Alizadehsani, MJ Hosseini, ZA Sani, A Ghandeharioun, R Boghrati 2012 IEEE 12th international conference on data mining workshops, 9-16, 2012 | 94 | 2012 |
| Diagnosing coronary artery disease via data mining algorithms by considering laboratory and echocardiography features R Alizadehsani, J Habibi, ZA Sani, H Mashayekhi, R Boghrati, ... Research in cardiovascular medicine 2 (3), 133-139, 2013 | 76 | 2013 |
| Uncertainty-aware semi-supervised method using large unlabeled and limited labeled COVID-19 data R Alizadehsani, D Sharifrazi, NH Izadi, JH Joloudari, A Shoeibi, JM Gorriz, ... ACM Transactions on Multimedia Computing, Communications, and Applications …, 2021 | 75 | 2021 |
| Objective evaluation of deep uncertainty predictions for covid-19 detection H Asgharnezhad, A Shamsi, R Alizadehsani, A Khosravi, S Nahavandi, ... Scientific Reports 12 (1), 815, 2022 | 74 | 2022 |
| Diagnosis of coronary artery disease using data mining techniques based on symptoms and ecg features R Alizadehsani, J Habibi, MJ Hosseini, R Boghrati, A Ghandeharioun, ... European Journal of Scientific Research 82 (4), 542-553, 2012 | 64 | 2012 |
| CNN-KCL: Automatic myocarditis diagnosis using convolutional neural network combined with k-means clustering D Sharifrazi, R Alizadehsani, JH Joloudari, SS Band, S Hussain, ZA Sani, ... Mathematical Biosciences and Engineering 19 (3), 2381-2402, 2022 | 62 | 2022 |
| RF-CNN-F: random forest with convolutional neural network features for coronary artery disease diagnosis based on cardiac magnetic resonance F Khozeimeh, D Sharifrazi, NH Izadi, JH Joloudari, A Shoeibi, ... Scientific reports 12 (1), 11178, 2022 | 52 | 2022 |
| Automatic detection of end-diastole and end-systole from echocardiography images using manifold learning P Gifani, H Behnam, A Shalbaf, ZA Sani Physiological measurement 31 (9), 1091, 2010 | 52 | 2010 |
| Exerting cost-sensitive and feature creation algorithms for coronary artery disease diagnosis R Alizadehsani, MJ Hosseini, R Boghrati, A Ghandeharioun, ... International Journal of Knowledge Discovery in Bioinformatics (IJKDB) 3 (1 …, 2012 | 51 | 2012 |
| Diagnosis of coronary arteries stenosis using data mining R Alizadehsani, J Habibi, B Bahadorian, H Mashayekhi, ... Journal of Medical Signals & Sensors 2 (3), 153-159, 2012 | 50 | 2012 |
| Diagnosis of coronary artery disease using data mining based on lab data and echo features R Alizadehsani, J Habibi, ZA Sani, H Mashayekhi, R Boghrati, ... Journal of Medical and Bioengineering 1 (1), 2012 | 46 | 2012 |
| RLMD‐PA: a reinforcement learning‐based myocarditis diagnosis combined with a population‐based algorithm for pretraining weights SV Moravvej, R Alizadehsani, S Khanam, Z Sobhaninia, A Shoeibi, ... Contrast Media & Molecular Imaging 2022 (1), 8733632, 2022 | 34 | 2022 |
| Value of speckle tracking echocardiography for detection of clinically silent left ventricular dysfunction in patients with β-thalassemia M Parsaee, S Saedi, P Joghataei, A Azarkeivan, Z Alizadeh Sani Hematology 22 (9), 554-558, 2017 | 32 | 2017 |
| Temporal super resolution enhancement of echocardiographic images based on sparse representation P Gifani, H Behnam, F Haddadi, ZA Sani, M Shojaeifard IEEE transactions on ultrasonics, ferroelectrics, and frequency control 63 …, 2015 | 28 | 2015 |
| Noise reduction of echocardiographic images based on temporal information P Gifani, H Behnam, ZA Sani IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 61 …, 2014 | 28 | 2014 |
