Dr Roohallah Alizadehsani

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, A Khosravi, M Panahiazar, S Nahavandi

(2021), Vol. 163, pp. 113788-113788, Expert Systems with Applications, Oxford, Eng., C1

Coronary artery disease detection using artificial intelligence techniques: a survey of trends, geographical differences and diagnostic features 1991-2020

R Alizadehsani, A Khosravi, M Roshanzamir, M Abdar, N Sarrafzadegan, D Shafie, F Khozeimeh, A Shoeibi, S Nahavandi, M Panahiazar, A Bishara, R Beygui, R Puri, S Kapadia, R Tan, U Acharya

(2021), Vol. 128, pp. 1-16, Computers in Biology and Medicine, Amsterdam, The Netherlands, C1

Risk factors prediction, clinical outcomes, and mortality in COVID-19 patients

R Alizadehsani, Z Alizadeh Sani, M Behjati, Z Roshanzamir, S Hussain, N Abedini, F Hasanzadeh, A Khosravi, A Shoeibi, M Roshanzamir, P Moradnejad, S Nahavandi, F Khozeimeh, A Zare, M Panahiazar, U Acharya, S Shariful Islam

(2021), Vol. 93, pp. 2307-2320, Journal of medical virology, Chichester, Eng., C1

Analysis of Driver Performance Using Hybrid of Weighted Ensemble Learning Technique and Evolutionary Algorithms

A Koohestani, M Abdar, S Hussain, A Khosravi, D Nahavandi, S Nahavandi, R Alizadehsani

(2021), pp. 1-14, Arabian Journal for Science and Engineering Section B: Engineering, Berlin, Germany, C1

Cardiovascular diseases risk prediction in patients with diabetes: Posthoc analysis from a matched case-control study in Bangladesh

S Islam, S Ahmed, R Uddin, M Siddiqui, M Malekahmadi, A Al Mamun, R Alizadehsani, A Khosravi, S Nahavandi

(2021), Vol. 20, pp. 417-425, Journal of Diabetes and Metabolic Disorders, Berlin, Germany, C1

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, J Joloudari, A Shoeibi, M Jafari, S Hussain, Z Sani, F Hasanzadeh, F Khozeimeh, A Khosravi, S Nahavandi, M Panahiazar, A Zare, S Shariful Islam, U Acharya

(2021), Vol. 68, pp. 1-14, Biomedical signal processing and control, Amsterdam, The Netherlands, C1

Inhibiting IL-6 During Cytokine Storm in COVID-19: Potential Role of Natural Products

Amirreza Nasirzadeh, Mohammad Jafarzadeh Maivan, Javad Bazeli, Jafar Hajavi, Negar Yavarmanesh, Mohammad Zahedi, Mahdi Abounoori, Alireza Razavi, Mohammad Maddah, Parham Mortazavi, Mohammad Moradi, Siamak Heidarzadeh, Jalal Mardaneh, Afshin Shoeibi, Roohallah Alizadehsani, Sheikh Islam

(2021), pp. 1-21, Preprints, C1

Robust Adaptive Control Scheme for Teleoperation Systems with Delay and Uncertainties

P Kebria, A Khosravi, S Nahavandi, P Shi, R Alizadehsani

(2020), Vol. 50, pp. 3243-3253, IEEE Transactions on Cybernetics, C1

Model uncertainty quantification for diagnosis of each main coronary artery stenosis

R Alizadehsani, M Roshanzamir, M Abdar, A Beykikhoshk, M Zangooei, A Khosravi, S Nahavandi, R Tan, U Acharya

(2020), Vol. 24, pp. 10149-10160, Soft Computing, Berlin, Germany, C1

Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach

E Nasarian, M Abdar, M Fahami, R Alizadehsani, S Hussain, M Basiri, M Zomorodi-Moghadam, X Zhou, P Pławiak, U Acharya, R Tan, N Sarrafzadegan

(2020), Vol. 133, pp. 33-40, Pattern recognition letters, Amsterdam, The Netherlands, C1

Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries

R Alizadehsani, M Roshanzamir, M Abdar, A Beykikhoshk, A Khosravi, S Nahavandi, P Plawiak, R Tan, U Acharya

(2020), pp. 1-17, Expert Systems, London, Eng., C1

IAPSO-AIRS: a novel improved machine learning-based system for wart disease treatment

M Abdar, V Wijayaningrum, S Hussain, R Alizadehsani, P Plawiak, U Acharya, V Makarenkov

(2019), Vol. 43, pp. 1-23, Journal of medical systems, New York, N.Y., C1

Machine learning-based coronary artery disease diagnosis: a comprehensive review

R Alizadehsani, M Abdar, M Roshanzamir, A Khosravi, P Kebria, F Khozeimeh, S Nahavandi, N Sarrafzadegan, U Acharya

(2019), Vol. 111, pp. 1-14, Computers in biology and medicine, Amsterdam, The Netherlands, C1

A knowledge discovery in motion sickness: a comprehensive literature review

A Koohestani, D Nahavandi, H Asadi, P Kebria, A Khosravi, R Alizadehsani, S Nahavandi

(2019), Vol. 7, pp. 85755-85770, IEEE access, Piscataway, N.J., C1

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, M Panahiazar, A Koohestani, F Khozeimeh, S Nahavandi, N Sarrafzadegan

(2019), Vol. 6, pp. 227-, Scientific data, England, C1

Non-invasive detection of coronary artery disease in high-risk patients based on the stenosis prediction of separate coronary arteries

Roohallah Alizadehsani, Mohammad Hosseini, Abbas Khosravi, Fahime Khozeimeh, Mohamad Roshanzamir, Nizal Sarrafzadegan, Saeid Nahavandi

(2018), Vol. 162, pp. 119-127, Computer methods and programs in biomedicine, Amsterdam, The Netherlands, C1

An expert system for selecting wart treatment method

F Khozeimeh, R Alizadehsani, M Roshanzamir, A Khosravi, P Layegh, S Nahavandi

(2017), Vol. 81, pp. 167-175, Computers in Biology and Medicine, C1

Intralesional immunotherapy compared to cryotherapy in the treatment of warts

F Khozeimeh, F Jabbari Azad, Y Mahboubi Oskouei, M Jafari, S Tehranian, R Alizadehsani, P Layegh

(2017), Vol. 56, pp. 474-478, International journal of dermatology, Chichester, Eng., C1-1

Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithm

Z Arabasadi, R Alizadehsani, M Roshanzamir, H Moosaei, A Yarifard

(2017), Vol. 141, pp. 19-26, Computer methods and programs in biomedicine, Amsterdam, The Netherlands, C1-1

Coronary artery disease detection using computational intelligence methods

R Alizadehsani, M Zangooei, M Hosseini, J Habibi, A Khosravi, M Roshanzamir, F Khozeimeh, N Sarrafzadegan, S Nahavandi

(2016), Vol. 109, pp. 187-197, Knowledge-Based Systems, C1

Disease diagnosis with a hybrid method SVR using NSGA-II

M Zangooei, J Habibi, R Alizadehsani

(2014), Vol. 136, pp. 14-29, Neurocomputing, Amsterdam, The Netherlands, C1-1

A data mining approach for diagnosis of coronary artery disease

R Alizadehsani, J Habibi, M Hosseini, H Mashayekhi, R Boghrati, A Ghandeharioun, B Bahadorian, Z Sani

(2013), Vol. 111, pp. 52-61, Computer methods and programs in biomedicine, Amsterdam, The Netherlands, C1-1

Diagnosing coronary artery disease via data mining algorithms by considering laboratory and echocardiography features

Roohallah Alizadehsani, Jafar Habibi, Zahra Alizadeh Sani, Hoda Mashayekhi, Reihane Boghrati, Asma Ghandeharioun, Fahime Khozeimeh, Fariba Alizadeh-Sani

(2013), Vol. 2, pp. 133-139, Research in cardiovascular medicine, [Unknown], C1-1

Diagnosis of coronary arteries stenosis using data mining

R Alizadehsani, J Habibi, B Bahadorian, H Mashayekhi, A Ghandeharioun, R Boghrati, Z Sani

(2012), Vol. 2, pp. 153-160, Journal of medical signals and sensors, Isfahan, Iran, C1-1

Diagnosis of coronary artery disease using data mining techniques based on symptoms and ECG features

R Alizadehsani, J Habibi, M Hosseini, R Boghrati, A Ghandeharioun, B Bahadorian, Z Sani

(2012), Vol. 82, pp. 542-553, European journal of scientific research, [Mahé, Seychelles], C1-1