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

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2022

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

(2022), Vol. 39, pp. 1-17, Expert Systems, London, Eng., C1

journal article

Application of artificial intelligence in wearable devices: Opportunities and challenges

D Nahavandi, R Alizadehsani, A Khosravi, U Acharya

(2022), Vol. 213, pp. 1-19, Computer Methods and Programs in Biomedicine, Amsterdam, The Netherlands, C1

journal article

Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies

A Shoeibi, N Ghassemi, M Khodatars, P Moridian, R Alizadehsani, A Zare, A Khosravi, A Subasi, U Rajendra Acharya, J Gorriz

(2022), Vol. 73, pp. 1-20, Biomedical Signal Processing and Control, Amsterdam, The Netherlands, C1

journal article

Factors associated with mortality in hospitalized cardiovascular disease patients infected with COVID-19

R Alizadehsani, R Eskandarian, M Behjati, M Zahmatkesh, M Roshanzamir, N Izadi, A Shoeibi, A Haddadi, F Khozeimeh, F Sani, Z Sani, Z Roshanzamir, A Khosravi, S Nahavandi, N Sarrafzadegan, S Islam

(2022), Vol. 10, Immunity, Inflammation and Disease, England, C1

journal article

Objective evaluation of deep uncertainty predictions for COVID-19 detection

H Asgharnezhad, A Shamsi, R Alizadehsani, A Khosravi, S Nahavandi, Z Sani, D Srinivasan, S Islam

(2022), Vol. 12, pp. 1-11, Scientific Reports, London, Eng., C1

journal article

CNN-KCL: Automatic myocarditis diagnosis using convolutional neural network combined with k-means clustering

D Sharifrazi, R Alizadehsani, J Joloudari, S Band, S Hussain, Z Sani, F Hasanzadeh, A Shoeibi, A Dehzangi, M Sookhak, H Alinejad-Rokny

(2022), Vol. 19, pp. 2381-2402, Mathematical Biosciences and Engineering, Springfield, Mo, C1

journal article

FCM-DNN: Diagnosing coronary artery disease by deep accuracy fuzzy C-means clustering model

J Joloudari, H Saadatfar, M Gol, R Alizadehsani, Z Sani, F Hasanzadeh, E Hassannataj, D Sharifrazi, Z Mansor

(2022), Vol. 19, pp. 3609-3635, Mathematical Biosciences and Engineering, Springfield, Mo., C1

journal article

GSVMA: A Genetic Support Vector Machine ANOVA Method for CAD Diagnosis

Javad Hassannataj Joloudari, Faezeh Azizi, Mohammad Nematollahi, Roohallah Alizadehsani, Edris Hassannatajjeloudari, Issa Nodehi, Amir Mosavi

(2022), Vol. 8, pp. 1-14, Frontiers in cardiovascular medicine, Lausanne, Switzerland, C1

journal article

Comparison of the prevalence of 21 GLIM phenotypic and etiologic criteria combinations and association with 30-day outcomes in people with cancer: A retrospective observational study

N Kiss, B Steer, M de van der Schueren, J Loeliger, R Alizadehsani, L Edbrooke, I Deftereos, E Laing, A Khosravi

(2022), Vol. 41, pp. 1102-1111, Clinical Nutrition, Amsterdam, The Netherlands, C1

journal article

Machine Learning Approaches for Predicting Hypertension and Its Associated Factors Using Population-Level Data From Three South Asian Countries

Sheikh Islam, Ashis Talukder, Md Awal, Md Siddiqui, Md Ahamad, Benojir Ahammed, Lal Rawal, Roohallah Alizadehsani, Jemal Abawajy, Liliana Laranjo, Clara Chow, Ralph Maddison

(2022), Vol. 9, pp. 1-9, Frontiers in Cardiovascular Medicine, Lausanne, Switzerland, C1

journal article

RF-CNN-F: random forest with convolutional neural network features for coronary artery disease diagnosis based on cardiac magnetic resonance

F Khozeimeh, D Sharifrazi, N Izadi, J Joloudari, A Shoeibi, R Alizadehsani, M Tartibi, S Hussain, Z Sani, M Khodatars, D Sadeghi, A Khosravi, S Nahavandi, R Tan, U Acharya, S Islam

(2022), Vol. 12, pp. 1-12, Scientific Reports, London, Eng., C1

journal article

RLMD-PA: A Reinforcement Learning-Based Myocarditis Diagnosis Combined with a Population-Based Algorithm for Pretraining Weights

S Moravvej, R Alizadehsani, S Khanam, Z Sobhaninia, A Shoeibi, F Khozeimeh, Z Sani, R Tan, A Khosravi, S Nahavandi, N Kadri, M Azizan, N Arunkumar, U Acharya

(2022), Vol. 2022, pp. 1-15, Contrast Media and Molecular Imaging, New York, N.Y., C1

journal article
2021

How big data analytics is changing the face of precision medicine in women's health

M Panahiazar, M Karimzadehgan, R Alizadehsani, D Hadley, R Beygui

(2021), pp. 339-350, Big Data in Psychiatry and Neurology, Amsterdam, The Netherlands, B1

book chapter

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, Expert Systems with Applications, 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, Computers in Biology and Medicine, United States, 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 Islam

(2021), Vol. 93, pp. 2307-2320, Journal of Medical Virology, United States, C1

journal article

Design of adaptive-robust controller for multi-state synchronization of chaotic systems with unknown and time-varying delays and its application in secure communication

A Kekha Javan, A Shoeibi, A Zare, N Hosseini Izadi, M Jafari, R Alizadehsani, P Moridian, A Mosavi, U Acharya, S Nahavandi

(2021), Vol. 21, pp. 1-21, Sensors (Switzerland), Switzerland, 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), Vol. 46, pp. 3567-3580, Arabian Journal for Science and Engineering, C1

journal article

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, Switzerland, C1

journal article

Objective Tinnitus Measurement via fNIRS and Machine Learning

M Shoushtarian, R Alizadehsani, A Khosravi, N Acevedo, C McKay, S Nahavandi, J Fallon

(2021), Vol. 74, pp. 26-29, Hearing Journal, Philadelphia, Pa., C1

journal article

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, M Zangooei, M Abdar, A Beykikhoshk, A Shoeibi, A Zare, M Panahiazar, S Nahavandi, D Srinivasan, A Atiya, U Acharya

(2021), Annals of Operations Research, United States, C1

journal article

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 Islam, U Acharya

(2021), Vol. 68, Biomedical Signal Processing and Control, England, C1

journal article

Epileptic seizures detection using deep learning techniques: A review

A Shoeibi, M Khodatars, N Ghassemi, M Jafari, P Moridian, R Alizadehsani, M Panahiazar, F Khozeimeh, A Zare, H Hosseini-Nejad, A Khosravi, A Atiya, D Aminshahidi, S Hussain, M Rouhani, S Nahavandi, U Acharya

(2021), Vol. 18, International Journal of Environmental Research and Public Health, Switzerland, C1

journal article

Medical images encryption based on adaptive-robust multi-mode synchronization of chen hyper-chaotic systems

A Javan, M Jafari, A Shoeibi, A Zare, M Khodatars, N Ghassemi, R Alizadehsani, J Gorriz

(2021), Vol. 21, pp. 1-34, Sensors, Basel, Switzerland, C1

journal article

Detection of effective genes in colon cancer: A machine learning approach

M Fahami, M Roshanzamir, N Izadi, V Keyvani, R Alizadehsani

(2021), Vol. 24, pp. 1-11, Informatics in Medicine Unlocked, Amsterdam, The Netherlands, C1

journal article

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, J Gorriz, H Moosaei, A Khosravi, S Nahavandi, A Gholamzadeh Chofreh, F Goni, J Klemeš, A Mosavi

(2021), Vol. 27, Results in Physics, Netherlands, C1

journal article

Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients

F Khozeimeh, D Sharifrazi, N Izadi, J Joloudari, A Shoeibi, R Alizadehsani, J Gorriz, S Hussain, Z Sani, H Moosaei, A Khosravi, S Nahavandi, S Islam

(2021), Vol. 11, Scientific Reports, England, C1

journal article

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, F Khozeimeh, J Gorriz, J Heras, M Panahiazar, S Nahavandi, U Acharya

(2021), Vol. 136, Computers in Biology and Medicine, United States, C1

journal article

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, A Khadem, R Alizadehsani, A Zare, Y Kong, A Khosravi, S Nahavandi, S Hussain, U Acharya, M Berk

(2021), Vol. 139, Computers in Biology and Medicine, United States, C1

journal article

Evaluation of the Quality of Life and Related Factors in the Nursing Staff of Selected Hospitals in Tehran, Iran

Ali Sadeghpour Tabaei, Mohammad Najafikhah, Bahador Baharestani, Hooman Bakhshandeh Abkenar, Sepehr Sadeghpour Tabaei, Mobin Naqshbandi, Roohallah Alizadehsani, Mohaddeseh Behjati

(2021), Vol. 12, pp. 1-4, Multidisciplinary Cardiovascular Annals, s-Hertogenbosch, The Netherlands, C1

journal article

Uncertainty-aware semi-supervised method using large unlabeled and limited labeled COVID-19 data

R Alizadehsani, D Sharifrazi, N Izadi, J Joloudari, A Shoeibi, J Gorriz, S Hussain, J Arco, Z Sani, F Khozeimeh, A Khosravi, S Nahavandi, S Islam, U Acharya

(2021), Vol. 17, ACM Transactions on Multimedia Computing, Communications and Applications, C1

journal article

Epileptic Seizures Detection in EEG Signals Using Fusion Handcrafted and Deep Learning Features

A Malekzadeh, A Zare, M Yaghoobi, H Kobravi, R Alizadehsani

(2021), Vol. 21, pp. 1-28, Sensors, Basel, Switzlerland, C1

journal article

Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models

A Shoeibi, D Sadeghi, P Moridian, N Ghassemi, J Heras, R Alizadehsani, A Khadem, Y Kong, S Nahavandi, Y Zhang, J Gorriz

(2021), Vol. 15, Frontiers in Neuroinformatics, Switzerland, C1

journal article

Automatic diagnosis of epileptic seizures in EEG signals using fractal dimension features and convolutional autoencoder method

A Malekzadeh, A Zare, M Yaghoobi, R Alizadehsani

(2021), Vol. 5, pp. 1-31, Big Data and Cognitive Computing, Basel, Switzerland, C1

journal article

Comparison of 21 glim phenotypic and etiologic criteria combinations and association with 30-day outcomes in people with cancer

N Kiss, B Steer, M de van der Schueren, J Loeliger, R Alizadehsani, L Edbrooke, I Deftereos, E Laing, A Khosravi

(2021), Vol. 46, pp. S554-S555, Clinical Nutrition ESPEN, Amsterdam, The Netherlands, C1

journal article

Machine learning models to predict adverse outcomes using glim combinations with and without muscle mass in people with cancer

N Kiss, B Steer, M de van der Schueren, J Loeliger, R Alizadehsani, L Edbrooke, I Deftereos, E Laing, A Khosravi

(2021), Vol. 46, pp. S566-S567, Clinical Nutrition ESPEN, Amsterdam, The Netherlands, C1

journal article

Challenges of Internet of Medical Things for Electronic Healthcare

K Kakhi, R Alizadehsani, A Khosravi, S Nahavandi, S Islam

(2021), pp. 19-24, • CANDO-EPE 2021 : Proceedings of the IEEE 4th International Obuda on Electrical and Power Engineering Conference and Workshop, Budapest, Hungary, E1

conference

Genetic Programming for optimization of CAD detection process

M Roshanzamir, M Darbandy, M Roshanzamir, R Alizadehsani, A Shoeibi

(2021), pp. 65-70, CANDO-EPE 2021 - Proceedings: IEEE 4th International Conference and Workshop in Obuda on Electrical and Power Engineering, Budapest, Hungary, E1

conference
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, United States, 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

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

Objective measurement of tinnitus using functional near-infrared spectroscopy and machine learning

M Shoushtarian, R Alizadehsani, A Khosravi, N Acevedo, C McKay, S Nahavandi, J Fallon

(2020), Vol. 15, PLoS ONE, United States, C1

journal article

Robust adaptive synchronization of a class of uncertain chaotic systems with unknown time-delay

A Zare, S Mirrezapour, M Hallaji, A Shoeibi, M Jafari, N Ghassemi, R Alizadehsani, A Mosavi

(2020), Vol. 10, pp. 1-14, Applied Sciences, Basel, Switzerland, 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, Journal of Medical Systems, United States, 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, Computers in Biology and Medicine, United States, 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, C1

journal article

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, Scientific Data, England, 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

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

(2018), Vol. 162, pp. 119-127, Computer Methods and Programs in Biomedicine, Ireland, 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, United States, 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, M Zangooei, J Habibi, J Habibi, R Alizadehsani, 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, R Alizadehsani, J Habibi, J Habibi, M Hosseini, M Hosseini, H Mashayekhi, H Mashayekhi, R Boghrati, R Boghrati, A Ghandeharioun, A Ghandeharioun, B Bahadorian, B Bahadorian, Z Sani, 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, Roohallah Alizadehsani, Jafar Habibi, Jafar Habibi, Zahra Alizadeh Sani, Zahra Alizadeh Sani, Hoda Mashayekhi, Hoda Mashayekhi, Reihane Boghrati, Reihane Boghrati, Asma Ghandeharioun, Asma Ghandeharioun, Fahime Khozeimeh, Fahime Khozeimeh, Fariba Alizadeh-Sani, 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, R Alizadehsani, J Habibi, J Habibi, B Bahadorian, B Bahadorian, H Mashayekhi, H Mashayekhi, A Ghandeharioun, A Ghandeharioun, R Boghrati, R Boghrati, Z Sani, 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, R Alizadehsani, J Habibi, J Habibi, M Hosseini, M Hosseini, R Boghrati, R Boghrati, A Ghandeharioun, A Ghandeharioun, B Bahadorian, B Bahadorian, Z Sani, Z Sani

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

journal article

Funded Projects at Deakin

Industry and Other Funding

An intelligent online platform to predict adverse outcomes from cancer-related malnutrition using the GLIM criteria

A/Prof Nicole Kiss, A/Prof Abbas Khosravi, Dr Roohallah Alizadehsani, Ms Belinda Steer, Prof Marian de van der Schueren, Ms Jenelle Loeliger, Dr Lara Edbrooke, Ms Irene Deftereos, Dr Erin Laing

MNI Project Grant - Medical Nutrition International Industry

  • 2021: $47,566

Supervisions

No completed student supervisions to report