Dr Roohallah Alizadehsani

STAFF PROFILE

Position

Alfred Deakin Postdoctoral Research Fellow

Faculty

Inst Intelligent Sys Res & Inn

Department

Inst Intelligent Sys Res & Inn

Campus

Geelong Waurn Ponds Campus

Publications

Filter by

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, A Khosravi, M Panahiazar, S Nahavandi

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

journal article

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

journal article

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

journal article

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

journal article
2020

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

journal article

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

journal article

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

journal article
2019

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

journal article

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

journal article

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

journal article

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

(2019), pp. 1-12, Soft Computing, Berlin, Germany, C1

journal article

Evaluating architecture impacts on deep imitation learning performance for autonomous driving

Parham Kebria, Roohallah Alizadehsani, Syed Salaken, Ibrahim Hossain, Abbas Khosravi, Dipu Kabir, Afsaneh Koohestani, Houshyar Asadi, Saeid Nahavandi, Edward Tunsel, Mehrdad Saif

(2019), pp. 865-870, ICIT 2019 : Proceedings of the 2019 20th IEEE International Conference on Industrial Technology, Melbourne, Vic., E1

conference

Parsimonious evolutionary-based model development for detecting artery disease

S Jalali, A Khosravi, R Alizadehsani, S Salaken, P Kebria, R Puri, S Nahavandi

(2019), pp. 800-805, ICIT 2019 : Proceedings of the IEEE International Conference on Industrial Technology, Melbourne, Victoria), E1

conference
2018

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

journal article

Deep imitation learning: the impact of depth on policy performance

P Kebria, A Khosravi, S Salaken, I Hossain, H Kabir, A Koohestani, R Alizadehsani, S Nahavandi

(2018), Vol. 11301, pp. 172-181, ICONIP 2018 : Proceedings of the 25th International Conference on Neural Information Processing, Siem Reap, Cambodia, E1

conference
2017

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

journal article

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

journal article

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

journal article
2016

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

journal article
2014

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

journal article
2013

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

journal article

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

journal article
2012

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

journal article

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

journal article

Funded Projects at Deakin

No Funded Projects at Deakin found

Supervisions

No completed student supervisions to report