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, 102622, 2021 | 153 | 2021 |
Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods N Ayoobi, D Sharifrazi, R Alizadehsani, A Shoeibi, JM Gorriz, H Moosaei, ... Results in physics 27, 104495, 2021 | 130 | 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 | 100 | 2021 |
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 | 74 | 2021 |
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 | 64 | 2022 |
Accurate discharge coefficient prediction of streamlined weirs by coupling linear regression and deep convolutional gated recurrent unit W Chen, D Sharifrazi, G Liang, SS Band, KW Chau, A Mosavi Engineering Applications of Computational Fluid Mechanics 16 (1), 965-976, 2022 | 55 | 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 | 49 | 2022 |
Application of artificial intelligence techniques for automated detection of myocardial infarction: a review JH Joloudari, S Mojrian, I Nodehi, A Mashmool, ZK Zadegan, ... Physiological Measurement, 2022 | 24 | 2022 |
FCM-DNN: diagnosing coronary artery disease by deep accuracy fuzzy C-means clustering model JH Joloudari, H Saadatfar, M GhasemiGol, R Alizadehsani, ZA Sani, ... arXiv preprint arXiv:2202.04645, 2022 | 9 | 2022 |
Hypertrophic cardiomyopathy diagnosis based on cardiovascular magnetic resonance using deep learning techniques D Sharifrazi, R Alizadehsani, N Hoseini Izadi, M Roshanzamir, A Shoeibi, ... Colour Filtering, 2021 | 8 | 2021 |
A survey of applications of artificial intelligence for myocardial infarction disease diagnosis JH Joloudari, S Mojrian, I Nodehi, A Mashmool, ZK Zadegan, ... arXiv preprint arXiv: 2107.06179, 2021 | 5 | 2021 |
Ocsvm-Cnn: Malicious Script Detection Using One-Class Support Vector Machine Combined with Convolutional Neural Network I Nodehi, J Hassannataj Joloudari, D Sharifrazi, M Nematollahi, A Marefat, ... Danial and Nematollahi, Mohammad and Marefat, Abdolreza and Çifçi, Mehmet …, 0 | 1 | |
Hypertrophic Cardiomyopathy Diagnosis Using Deep Learning Techniques D Sharifrazi, R Alizadehsani, NH Izadi, M Roshanzamir, A Shoeibi, ... Deakin University, 2024 | | 2024 |
Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis D Sharifrazi, N Javed, R Alizadehsani, PN Paradkar, UR Acharya, A Bhatti arXiv preprint arXiv:2312.08654, 2023 | | 2023 |
AI Framework for Early Diagnosis of Coronary Artery Disease: An Integration of Borderline SMOTE, Autoencoders and Convolutional Neural Networks Approach E Nasarian, D Sharifrazi, S Mohsenirad, K Tsui, R Alizadehsani arXiv preprint arXiv:2308.15339, 2023 | | 2023 |
A Survey of A li ations of Arti ial Intelligen e for Myo ardial Infar tion Disease Diagnosis JH Joloudari, S Mojrian, I Nodehi, A Mashmool, ZK Zadegan, ... | | 2021 |