Publications
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
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
H Yaghoubi, A Zare, M Rasouli, R Alizadehsani
(2023), Vol. 12, Axioms, C1
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
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, Computers in Biology and Medicine, C1
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
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
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
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
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
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
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
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
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
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
A Javan, A Zare, R Alizadehsani, S Balochian
(2022), Vol. 6, Big Data and Cognitive Computing, C1
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
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
A Kekha Javan, A Zare, R Alizadehsani
(2022), Vol. 6, Big Data and Cognitive Computing, C1
H Yaghoubi, A Zare, R Alizadehsani
(2022), Vol. 11, Axioms, C1
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
M Rasouli, A Zare, M Hallaji, R Alizadehsani
(2022), Vol. 11, Axioms, C1
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
A Malekzadeh, A Zare, M Yaghoobi, R Alizadehsani
(2021), Vol. 5, pp. 1-31, Big Data and Cognitive Computing, Basel, Switzerland, C1
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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, M Zangooei, J Habibi, J Habibi, R Alizadehsani, 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, 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
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
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
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
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