Dr Roohallah Alizadehsani

STAFF PROFILE

Position

Visitor

Faculty

Inst Intelligent Sys Res & Inn

Department

Inst Intelligent Sys Res & Inn

Campus

Geelong Waurn Ponds Campus

Publications

Filter by

2024

Efficient reinforcement learning-based method for plagiarism detection boosted by a population-based algorithm for pretraining weights

J Xiong, J Yang, L Yan, M Awais, A Khan, R Alizadehsani, U Acharya

(2024), Vol. 238, pp. 1-18, Expert Systems With Applications, Amsterdam, The Netherlands, C1

journal article

Application of artificial intelligence techniques for non-alcoholic fatty liver disease diagnosis: A systematic review (2005-2023)

H Zamanian, A Shalbaf, M Zali, A Khalaj, P Dehghan, M Tabesh, B Hatami, R Alizadehsani, Ru-San Tan, U Acharya

(2024), Vol. 244, pp. 1-13, Computer Methods and Programs in Biomedicine, Amsterdam, The Netherlands, C1

journal article

An adaptive ensemble deep learning framework for reliable detection of pandemic patients

M Iqbal, R Naqvi, R Alizadehsani, S Hussain, S Moqurrab, S Lee

(2024), Vol. 168, pp. 1-12, Computers in Biology and Medicine, Amsterdam, The Netherlands, C1

journal article

Machine learning meets advanced robotic manipulation

S Nahavandi, R Alizadehsani, D Nahavandi, C Lim, K Kelly, F Bello

(2024), Vol. 105, pp. 1-27, Information Fusion, Amsterdam, The Netherlands, C1

journal article

What Happens in Face During a Facial Expression? Using Data Mining Techniques to Analyze Facial Expression Motion Vectors

M Roshanzamir, M Jafari, R Alizadehsani, M Roshanzamir, A Shoeibi, J Gorriz, A Khosravi, S Nahavandi, U Acharya

(2024), pp. 1-19, Information Systems Frontiers, Berlin, Germany, C1

journal article

Hypertrophic Cardiomyopathy Diagnosis Using Deep Learning Techniques

D Sharifrazi, R Alizadehsani, N Izadi, M Roshanzamir, A Shoeibi, F Khozeimeh, F Sani, Z Sani, S Hussain, C Harlapur, J Gorriz, Y Zhang, A Khosravi, S Nahavandi, N Sarrafzadegan, S Islam

(2024), Vol. 14, pp. 1-21, Human-centric Computing and Information Sciences, C1-1

journal article

Resource allocation problem and artificial intelligence: the state-of-the-art review (2009-2023) and open research challenges

J Hassannataj Joloudari, S Mojrian, H Saadatfar, I Nodehi, F Fazl, S Khanjani Shirkharkolaie, R Alizadehsani, H Kabir, R Tan, U Acharya

(2024), pp. 1-44, Multimedia Tools and Applications, Berlin, Germany, C1

journal article

Automated detection and forecasting of COVID-19 using deep learning techniques: A review

A Shoeibi, M Khodatars, M Jafari, N Ghassemi, D Sadeghi, P Moridian, A Khadem, R Alizadehsani, S Hussain, A Zare, Z Sani, F Khozeimeh, S Nahavandi, U Acharya, J Gorriz

(2024), Vol. 577, pp. 1-32, Neurocomputing, Amsterdam, The Netherlands, C1

journal article

A novel myocarditis detection combining deep reinforcement learning and an improved differential evolution algorithm

J Yang, T Sadiq, J Xiong, M Awais, U Aslam Bhatti, R Alizadehsani, J Gorriz

(2024), CAAI Transactions on Intelligence Technology, London, Eng., C1

journal article

Explainable Artificial Intelligence for Drug Discovery and Development - A Comprehensive Survey

R Alizadehsani, S Oyelere, S Hussain, S Jagatheesaperumal, R Calixto, M Rahouti, M Roshanzamir, V De Albuquerque

(2024), Vol. 12, pp. 35796-35812, IEEE Access, Piscataway, N.J., C1

journal article

Deep learning in spatially resolved transcriptfomics: A comprehensive technical view

R Zahedi, R Ghamsari, A Argha, C Macphillamy, A Beheshti, R Alizadehsani, N Lovell, M Lotfollahi, H Alinejad-Rokny

(2024), Vol. 25, Briefings in Bioinformatics, C1

journal article

GAN-MD: A myocarditis detection using multi-channel convolutional neural networks and generative adversarial network-based data augmentation

H Ahmadi Golilarz, A Azadbar, R Alizadehsani, J Gorriz

(2024), CAAI Transactions on Intelligence Technology, C1

journal article

Using Data Mining Techniques to Analyze Facial Expression Motion Vectors

M Roshanzamir, R Alizadehsani, M Roshanzamir, A Shoeibi, J Gorriz, A Khosravi, S Nahavandi, U Acharya

(2024), Vol. 14321 LNCS, pp. 1-19, DIS 2023 : Proceedings of the 6th International Conference on Dynamics of Information Systems 2023, Prague, Czech Republic, E1

conference
2023

Integration of machine learning with wearable technologies

D Nahavandi, R Alizadehsani, A Khosravi

(2023), pp. 383-396, Handbook of Human-Machine Systems, London, Eng., B1

book chapter

Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review

A Shoeibi, M Khodatars, M Jafari, N Ghassemi, P Moridian, R Alizadehsani, S Ling, A Khosravi, H Alinejad-Rokny, H Lam, M Fuller-Tyszkiewicz, U Acharya, D Anderson, Y Zhang, J Gorriz

(2023), Vol. 93, pp. 85-117, Information Fusion, C1

journal article

Prognosis prediction in traumatic brain injury patients using machine learning algorithms

H Khalili, M Rismani, M Nematollahi, M Masoudi, A Asadollahi, R Taheri, H Pourmontaseri, A Valibeygi, M Roshanzamir, R Alizadehsani, A Niakan, A Andishgar, S Islam, U Acharya

(2023), Vol. 13, pp. 960-, Scientific reports, England, C1

journal article

Novel Frequency-Based Approach to Analyze the Stability of Polynomial Fractional Differential Equations

H Yaghoubi, A Zare, M Rasouli, R Alizadehsani

(2023), Vol. 12, pp. 1-12, Axioms, Basel, Switzerland, C1

journal article

Identification of Clinical Features Associated with Mortality in COVID-19 Patients

R Eskandarian, R Alizadehsani, M Behjati, M Zahmatkesh, Z Sani, A Haddadi, K Kakhi, M Roshanzamir, A Shoeibi, S Hussain, F Khozeimeh, M Darbandy, J Joloudari, R Lashgari, A Khosravi, S Nahavandi, S Islam

(2023), Vol. 4, pp. 1-20, Operations Research Forum, Berlin, Germany, C1

journal article

ALEC: Active learning with ensemble of classifiers for clinical diagnosis of coronary artery disease

F Khozeimeh, R Alizadehsani, M Shirani, M Tartibi, A Shoeibi, H Alinejad-Rokny, C Harlapur, S Sultanzadeh, A Khosravi, S Nahavandi, R Tan, U Acharya

(2023), Vol. 158, pp. 1-17, Computers in Biology and Medicine, Amsterdam, The Netherlands, C1

journal article

Body composition predicts hypertension using machine learning methods: a cohort study

M Nematollahi, S Jahangiri, A Asadollahi, M Salimi, A Dehghan, M Mashayekh, M Roshanzamir, G Gholamabbas, R Alizadehsani, M Bazrafshan, H Bazrafshan, H Bazrafshan drissi, S Shariful Islam

(2023), Vol. 13, pp. 1-11, Scientific Reports, Berlin, Germany, C1

journal article

Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review

M Jafari, A Shoeibi, M Khodatars, N Ghassemi, P Moridian, R Alizadehsani, A Khosravi, S Ling, N Delfan, Y Zhang, S Wang, J Gorriz, H Alinejad-Rokny, U Acharya

(2023), Vol. 160, pp. 1-31, Computers in Biology and Medicine, Amsterdam, The Netherlands, C1

journal article

A Survey of COVID-19 Diagnosis Using Routine Blood Tests with the Aid of Artificial Intelligence Techniques

S Abbasi Habashi, M Koyuncu, R Alizadehsani

(2023), Vol. 13, pp. 1-26, Diagnostics, Basel, Switzerland, C1

journal article

GAN-LSTM-3D: An efficient method for lung tumour 3D reconstruction enhanced by attention-based LSTM

L Hong, M Modirrousta, M Hossein Nasirpour, M Mirshekari Chargari, F Mohammadi, S Moravvej, L Rezvanishad, M Rezvanishad, I Bakhshayeshi, R Alizadehsani, I Razzak, H Alinejad-Rokny, S Nahavandi

(2023), pp. 1-11, CAAI Transactions on Intelligence Technology, London, Eng., C1

journal article

Machine learning models to predict outcomes at 30‐days using Global Leadership Initiative on Malnutrition combinations with and without muscle mass in people with cancer

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

(2023), Vol. 14, pp. 1815-1823, Journal of Cachexia, Sarcopenia and Muscle, London, Eng., C1

journal article

Material recognition for construction quality monitoring using deep learning methods

H Mahamivanan, N Ghassemi, M Tayarani Darbandi, A Shoeibi, S Hussain, F Nasirzadeh, R Alizadehsani, D Nahavandi, A Khosravi, S Nahavandi

(2023), Construction Innovation, Bingley, Eng., C1

journal article

BERT-deep CNN: state of the art for sentiment analysis of COVID-19 tweets

J Joloudari, S Hussain, M Nematollahi, R Bagheri, F Fazl, R Alizadehsani, R Lashgari, A Talukder

(2023), Vol. 13, pp. 1-14, Social Network Analysis and Mining, Berlin, Germany, C1

journal article

Cardiac Magnetic Resonance Imaging (CMRI) Applications in Patients with Chest Pain in the Emergency Department: A Narrative Review

H Zareiamand, A Darroudi, I Mohammadi, S Moravvej, S Danaei, R Alizadehsani

(2023), Vol. 13, pp. 1-20, Diagnostics, Basel, Switzerland, C1

journal article

A novel uncertainty-aware deep learning technique with an application on skin cancer diagnosis

A Shamsi, H Asgharnezhad, Z Bouchani, K Jahanian, M Saberi, X Wang, I Razzak, R Alizadehsani, A Mohammadi, H Alinejad-Rokny

(2023), pp. 22179-22188, Neural Computing and Applications, Berlin, Germany, C1

journal article

Designing a Secure Mechanism for Image Transferring System Based on Uncertain Fractional Order Chaotic Systems and NLFPID Sliding Mode Controller

M Rasouli, A Zare, H Yaghoubi, R Alizadehsani

(2023), Vol. 12, pp. 1-21, Axioms, Basel, Switzerland, C1

journal article

Developing a Deep Neural Network model for COVID-19 diagnosis based on CT scan images

J Joloudari, F Azizi, I Nodehi, M Nematollahi, F Kamrannejhad, E Hassannatajjeloudari, R Alizadehsani, S Islam

(2023), Vol. 20, pp. 16236-16258, Mathematical Biosciences and Engineering, Springfield, Mo., C1

journal article

Uncertainty aware neural network from similarity and sensitivity[Formula presented]

H Kabir, S Mondal, S Khanam, A Khosravi, S Rahman, M Qazani, R Alizadehsani, H Asadi, S Mohamed, S Nahavandi, U Acharya

(2023), Vol. 149, pp. 1-14, Applied Soft Computing, Amsterdam, The Netherlands, C1

journal article

A cohort study on the predictive capability of body composition for diabetes mellitus using machine learning

M Nematollahi, A Askarinejad, A Asadollahi, M Bazrafshan, S Sarejloo, M Moghadami, S Sasannia, M Farjam, R Homayounfar, B Pezeshki, M Amini, M Roshanzamir, R Alizadehsani, H Bazrafshan, H Bazrafshan drissi, R Tan, U Acharya, M Islam

(2023), Journal of Diabetes and Metabolic Disorders, Berlin, Germany, C1

journal article

MLP-RL-CRD: diagnosis of cardiovascular risk in athletes using a reinforcement learning-based multilayer perceptron

Arsam Bostani, Marzieh Mirzaeibonehkhater, Hamidreza Najafi, Muhammad Mehrtash, Roohallah Alizadehsani, Ru-San Tan, Rajendra Acharya

(2023), Vol. 44, pp. 1-15, Physiological Measurement, Bristol, Eng., C1

journal article

Improving PPG Signal Classification with Machine Learning: The Power of a Second Opinion

H Asgharnezhad, A Shamsi, I Bakhshayeshi, R Alizadehsani, S Chamaani, H Alinejad-Rokny

(2023), Vol. 2023-June, DPS 2023 : Proceedings of the 24th Digital Signal Processing International Conference, Rhodes, Greece, E1

conference
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

Robust Multi-Mode Synchronization of Chaotic Fractional Order Systems in the Presence of Disturbance, Time Delay and Uncertainty with Application in Secure Communications

A Javan, A Zare, R Alizadehsani, S Balochian

(2022), Vol. 6, Big Data and Cognitive Computing, C1

journal article

An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works

D Sadeghi, A Shoeibi, N Ghassemi, P Moridian, A Khadem, R Alizadehsani, M Teshnehlab, J Gorriz, F Khozeimeh, Y Zhang, S Nahavandi, U Acharya

(2022), Vol. 146, Computers in Biology and Medicine, United States, C1

journal article

Data Analytics of Electronic Health Records to Enhance Care of Coronary Artery Disease in Younger Women with Avoiding Possible Delay in Treatment

M Panahiazar, A Bishara, Y Chern, R Alizadehsani, O Latif, D Hadley, R Beygui

(2022), Vol. 290, pp. 1080-1081, Studies in Health Technology and Informatics, Netherlands, C1

journal article

The internet of medical things and artificial intelligence: trends, challenges, and opportunities

K Kakhi, R Alizadehsani, H Kabir, A Khosravi, S Nahavandi, U Acharya

(2022), Vol. 42, pp. 749-771, Biocybernetics and Biomedical Engineering, Amsterdam, The Netherlands, C1

journal article

Application of artificial intelligence techniques for automated detection of myocardial infarction: a review

J Hassannataj Joloudari, S Mojrian, I Nodehi, A Mashmool, Z Kiani Zadegan, S Khanjani Shirkharkolaie, R Alizadehsani, T Tamadon, S Khosravi, M Akbari Kohnehshari, E Hassannatajjeloudari, D Sharifrazi, A Mosavi, H Loh, R Tan, U Acharya

(2022), Vol. 43, pp. 1-22, Physiological Measurement, Bristol, Eng., 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

Multi-State Synchronization of Chaotic Systems with Distributed Fractional Order Derivatives and Its Application in Secure Communications

A Kekha Javan, A Zare, R Alizadehsani

(2022), Vol. 6, Big Data and Cognitive Computing, C1

journal article

Accurate Prediction Using Triangular Type-2 Fuzzy Linear Regression: Simplifying Complex T2F Calculations

Assef Zare, Afshin Shoeibi, Narges Bajestani, Parisa Moridian, Roohallah Alizadehsani, Majid Hallaji, Abbas Khosravi

(2022), Vol. 8, pp. 51-60, IEEE SYSTEMS MAN AND CYBERNETICS MAGAZINE, C1

journal article

An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works

A Shoeibi, P Moridian, M Khodatars, N Ghassemi, M Jafari, R Alizadehsani, Y Kong, J Gorriz, J Ramírez, A Khosravi, S Nahavandi, U Acharya

(2022), Vol. 149, pp. 1-39, Computers in Biology and Medicine, Amsterdam, The Netherlands, C1

journal article

Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works

P Moridian, A Shoeibi, M Khodatars, M Jafari, R Pachori, A Khadem, R Alizadehsani, S Ling

(2022), Vol. 12, pp. 1-43, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, London, Eng., C1

journal article

Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review

P Moridian, N Ghassemi, M Jafari, S Salloum-Asfar, D Sadeghi, M Khodatars, A Shoeibi, A Khosravi, S Ling, A Subasi, R Alizadehsani, J Gorriz, S Abdulla, U Acharya

(2022), Vol. 15, pp. 1-32, Frontiers in Molecular Neuroscience, Lausanne, Switzerland, C1

journal article

Analysis and Design of Robust Controller for Polynomial Fractional Differential Systems Using Sum of Squares

Hassan Yaghoubi, Assef Zare, Roohallah Alizadehsani

(2022), Vol. 11, pp. 1-13, Axioms, Basel, Switzerland, C1

journal article

Breast Cancer Dataset, Classification and Detection Using Deep Learning

M Iqbal, W Ahmad, R Alizadehsani, S Hussain, R Rehman

(2022), Vol. 10, Healthcare (Switzerland), Switzerland, C1

journal article

Gender-based time discrepancy in diagnosis of coronary artery disease based on data analytics of electronic medical records

M Panahiazar, A Bishara, Y Chern, R Alizadehsani, S Islam, D Hadley, R Arnaout, R Beygui

(2022), Vol. 9, Frontiers in Cardiovascular Medicine, Switzerland, C1

journal article

The Synchronization of a Class of Time-Delayed Chaotic Systems Using Sliding Mode Control Based on a Fractional-Order Nonlinear PID Sliding Surface and Its Application in Secure Communication

M Rasouli, A Zare, M Hallaji, R Alizadehsani

(2022), Vol. 11, Axioms, C1

journal article

Swarm Intelligence in Internet of Medical Things

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

(2022), pp. 371-376, ICCC 2022 : Proceedings of the IEEE 10th Jubilee International Conference on Computational Cybernetics and Cyber-Medical Systems 2022, Reykjavík, Iceland, E1

conference

Using Swarm Intelligence Algorithms for Optimization in IoT Applications

M Roshanzamir, M Nematollahi, M Darbandy, M Roshanzamir, R Alizadehsani, A Shoeibi, D Ahmadian

(2022), pp. 359-364, ICCC 2022 : Proceedings of the IEEE 10th Jubilee International Conference on Computational Cybernetics and Cyber-Medical Systems 2022, Reykjavík, Iceland, E1

conference

Automatic facial expression recognition in an image sequence using conditional random field

M Roshanzamir, M Roshanzamir, A Mirzaei, M Darbandy, A Shoeibi, R Alizadehsani, F Khozeimeh, A Khosravi

(2022), pp. 271-278, CINTI-MACRo 2022 : Proceedings of the IEEE Joint 22nd International Symposium on Computational Intelligence and Informatics and 8th International Conference on Recent Achievements in Mechatronics, Automation, Computer Science and Robotics 2022, Budapest, Hungary, E1

conference

Myocarditis Diagnosis: A Method using Mutual Learning-Based ABC and Reinforcement Learning

S Danaei, A Bostani, S Moravvej, F Mohammadi, R Alizadehsani, A Shoeibi, H Alinejad-Rokny, S Nahavandi

(2022), pp. 265-270, CINTI-MACRo 2022 - Proceedings of the IEEE Joint 22nd International Symposium on Computational Intelligence and Informatics and 8th International Conference on Recent Achievements in Mechatronics, Automation, Computer Science and Robotics, Budapest, Hungary, E1

conference

Importance of Wearable Health Monitoring Systems Using IoMT; Requirements, Advantages, Disadvantages and Challenges

F Khozeimeh, M Roshanzamir, A Shoeibi, M Darbandy, R Alizadehsani, H Alinejad-Rokny, D Ahmadian, A Khosravi, S Nahavandi

(2022), pp. 245-250, CINTI-MACRo 2022 - Proceedings of the IEEE Joint 22nd International Symposium on Computational Intelligence and Informatics and 8th International Conference on Recent Achievements in Mechatronics, Automation, Computer Science and Robotics, Budapest, Hungary, E1

conference
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

Diagnosis of Coronary Artery Disease Using Data Mining Based on Lab Data and Echo Features

Roohallah Alizadehsani, Jafar Habibi, Roohallah Alizadehsani, Zahra Sani, Hoda Mashayekhi, Reihane Boghrati, Asma Ghandeharioun, Behdad Bahadorian

(2012), Vol. 1, pp. 26-29, Journal of Medical and Bioengineering, C1-1

journal article

Exerting Cost-Sensitive and Feature Creation Algorithms for Coronary Artery Disease Diagnosis

Roohallah Alizadehsani, Mohammad Hosseini, Reihane Boghrati, Asma Ghandeharioun, Fahime Khozeimeh, Zahra Sani

(2012), Vol. 3, pp. 59-79, International Journal of Knowledge Discovery in Bioinformatics, C1-1

journal article
undefined

Swarm Intelligence in Internet of Medical Things: A Review

Roohallah Alizadehsani, Mohamad Roshanzamir, Navid Izadi, Raffaele Gravina, H Kabir, Darius Nahavandi, Hamid Alinejad-Rokny, Abbas Khosravi, U Acharya, Saeid Nahavandi, Giancarlo Fortino

(), Vol. 23, pp. 1466-1466, Sensors, C1

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, 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