roohallah alizadehsani
roohallah alizadehsani
Alfred Deakin Postdoctoral Research Fellow, IISRI, Deakin University
Verified email at - Homepage
Cited by
Cited by
Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithm
Z Arabasadi, R Alizadehsani, M Roshanzamir, H Moosaei, AA Yarifard
Computer methods and programs in biomedicine 141, 19-26, 2017
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
Automated detection and forecasting of covid-19 using deep learning techniques: A review
A Shoeibi, M Khodatars, R Alizadehsani, N Ghassemi, M Jafari, ...
arXiv preprint arXiv:2007.10785, 2020
An expert system for selecting wart treatment method
F Khozeimeh, R Alizadehsani, M Roshanzamir, A Khosravi, P Layegh, ...
Computers in biology and medicine 81, 167-175, 2017
Epileptic seizures detection using deep learning techniques: a review
A Shoeibi, M Khodatars, N Ghassemi, M Jafari, P Moridian, ...
International Journal of Environmental Research and Public Health 18 (11), 5780, 2021
Machine learning-based coronary artery disease diagnosis: A comprehensive review
R Alizadehsani, M Abdar, M Roshanzamir, A Khosravi, PM Kebria, ...
Computers in biology and medicine 111, 103346, 2019
Intralesional immunotherapy compared to cryotherapy in the treatment of warts
F Khozeimeh, F Jabbari Azad, Y Mahboubi Oskouei, M Jafari, ...
International journal of dermatology 56 (4), 474-478, 2017
Coronary artery disease detection using computational intelligence methods
R Alizadehsani, MH Zangooei, MJ Hosseini, J Habibi, A Khosravi, ...
Knowledge-Based Systems 109, 187-197, 2016
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
Non-invasive detection of coronary artery disease in high-risk patients based on the stenosis prediction of separate coronary arteries
R Alizadehsani, MJ Hosseini, A Khosravi, F Khozeimeh, M Roshanzamir, ...
Computer methods and programs in biomedicine 162, 119-127, 2018
Deep learning for neuroimaging-based diagnosis and rehabilitation of autism spectrum disorder: a review
M Khodatars, A Shoeibi, D Sadeghi, N Ghaasemi, M Jafari, P Moridian, ...
Computers in Biology and Medicine 139, 104949, 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
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
Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review
A Shoeibi, M Khodatars, M Jafari, P Moridian, M Rezaei, R Alizadehsani, ...
Computers in Biology and Medicine 136, 104697, 2021
A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals
A Shoeibi, N Ghassemi, R Alizadehsani, M Rouhani, H Hosseini-Nejad, ...
Expert Systems with Applications 163, 113788, 2021
Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach
E Nasarian, M Abdar, MA Fahami, R Alizadehsani, S Hussain, ME Basiri, ...
Pattern Recognition Letters 133, 33-40, 2020
Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991–2020)
R Alizadehsani, M Roshanzamir, S Hussain, A Khosravi, A Koohestani, ...
Annals of Operations Research, 1-42, 2021
A database for using machine learning and data mining techniques for coronary artery disease diagnosis
R Alizadehsani, M Roshanzamir, M Abdar, A Beykikhoshk, A Khosravi, ...
Scientific data 6 (1), 1-13, 2019
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
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), 1-18, 2021
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Articles 1–20