Danial Sharifrazi

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roohallah alizadehsaniResearch Fellow, IISRI, Deakin UniversityVerified email at deakin.edu.au
Javad Hassannataj JoloudariPhD Candidate in Computer Engineering, Senior Researcher of AI, University of BirjandVerified email at birjand.ac.ir
Distinguished Professor Saeid Nahav...IEEE Fellow, Swinburne University of Technology, Harvard UniversityVerified email at ieee.org
fahime khozeimehFaculty of Medicine, Mashhad University of Medical Sciences, Mashhad, IranVerified email at mums.ac.ir
Dr. Sadiq HussainDibrugarh UniversityVerified email at dibru.ac.in
Juan Manuel GorrizFull Professor at University of GranadaVerified email at ugr.es
Rajendra AcharyaProfessor of Artificial Intelligence in Healthcare, University of Southern Queensland, AustraliaVerified email at usq.edu.au
Sheikh Mohammed Shariful IslamAssociate Professor, Institute for Physical we Activity and Nutrition (IPAN), Deakin UniversityVerified email at deakin.edu.au
Mohamad RoshanzamirAssistant Professor of Computer Engineering, Fasa UniversityVerified email at fasau.ac.ir
Juan E. ArcoPostdoctoral Researcher, University of GranadaVerified email at ugr.es
Maryam PanahiazarPostdoc at Stanford University and UCSFVerified email at stanford.edu
Iman DehzangiAssistant Professor at the Department of Computer Science, Rutgers UniversityVerified email at rutgers.edu
Hamid Alinejad-RoknyARC DECRA & UNSW Scientia Fellow, Head of BioMedical Machine Learning LabVerified email at unsw.edu.au
S BandAssociate Professor of CS (SMIEEE)Verified email at yuntech.edu.tw

Danial Sharifrazi

Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Australia

Verified email at deakin.edu.au - Homepage

Data Science Machine Learning Deep Learning


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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	146	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	123	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	97	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	69	2021
CNN-KCL: Automatic myocarditis diagnosis using convolutional neural network combined with k-means clustering D Sharifrazi, R Alizadehsani, JH Joloudari, S Shamshirband, S Hussain, ... Preprints, 2020	60	2020
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	41	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	22	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	4	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

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