Roohallah Alizadehsani

153 papers A 5Misc 5Journal 137Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GEM-LLM: Identifying contextual equivalent mutants via large language models; A global invariant-based approach. Intell. Syst. Appl. Mohammad Tanhaei, Roohallah Alizadehsani
2026	J	`jnl`	Melanoma Detection through Combining Reinforcement Learning, Generative Adversarial Network, and Bayesian Optimization. Biomed. Signal Process. Control. Jing Yang, Yajie Wan, Su Diao, Osama Alfarraj, Fahad Alblehai, Amr Tolba, Zaffar Ahmed Shaikh, Lip Yee Por, Roohallah Alizadehsani, Yudong Zhang
2026	J	`jnl`	SSI-GAN: Semi-Supervised Swin-Inspired Generative Adversarial Networks for Neuronal Spike Classification. CoRR Danial Sharifrazi, Nouman Javed, Mojtaba Mohammadi, Seyede Sana Salehi, Roohallah Alizadehsani, Prasad N. Paradkar, U. Rajendra Acharya, Asim Bhatti
2026	J	`jnl`	Spike sequences classification for dengue and Zika infections in mosquito neurons using deep pre-trained models. Biomed. Signal Process. Control. Danial Sharifrazi, Nouman Javed, Roohallah Alizadehsani, Prasad N. Paradkar, U. Rajendra Acharya, Asim Bhatti
2026	J	`jnl`	UCTECG-Net: Uncertainty-aware Convolution Transformer ECG Network for Arrhythmia Detection. CoRR Hamzeh Asgharnezhad, Pegah Tabarisaadi, Abbas Khosravi, Roohallah Alizadehsani, U. Rajendra Acharya
2025	J	`jnl`	A Comprehensive Review on Autonomous Navigation. ACM Comput. Surv. Saeid Nahavandi, Roohallah Alizadehsani, Darius Nahavandi, Shady M. K. Mohamed, Navid Mohajer, Mohammad Rokonuzzaman, Ibrahim Hossain
2025	J	`jnl`	A Generative Adversarial Network-Based Extractive Text Summarization Using Transductive and Reinforcement Learning. IEEE Access Jing Yang, Haoshen Qin, Yiping Sun, Hao Wang, Abdullah Ayub Khan, Lip Yee Por, Roohallah Alizadehsani, Pawel Plawiak
2025	J	`jnl`	A Lightweight and Robust Framework for Real-Time Colorectal Polyp Detection Using LOF-Based Preprocessing and YOLO-v11n. CoRR Saadat Behzadi, Danial Sharifrazi, Bita Mesbahzadeh, Javad Hassannataj Joloudari, Roohallah Alizadehsani
2025	J	`jnl`	A dual-method approach using autoencoders and transductive learning for remaining useful life estimation. Eng. Appl. Artif. Intell. Jing Yang, Nika Anoosha Boroojeni, Mehran Kazemi Chahardeh, Lip Yee Por, Roohallah Alizadehsani, U. Rajendra Acharya
2025	J	`jnl`	A machine learning approach for Premature Coronary Artery Disease Diagnosis according to Different Ethnicities in Iran. CoRR Mohamad Roshanzamir, Roohallah Alizadehsani, Ehsan Zarepur, Noushin Mohammadifard, Fatemeh Nouri, Mahdi Roshanzamir, Alireza Khosravi, Fereidoon Nouhi, Nizal Sarrafzadegan
2025	J	`jnl`	An off-policy deep reinforcement learning-based active learning for crime scene investigation image classification. Inf. Sci. Yixin Zhang, Yang Liu, Guofan Jiang, Yuchen Yang, Jian Zhang, Jing Yang, Roohallah Alizadehsani, Ryszard Tadeusiewicz, Pawel Plawiak
2025	J	`jnl`	Application of Explainable Artificial Intelligence (XAI) Techniques in Patients With Intracranial Hemorrhage: A Systematic Review. WIREs Data. Mining. Knowl. Discov. Ali Kohan, Amir Zahedi, Roohallah Alizadehsani, Ru-San Tan, U. Rajendra Acharya
2025	J	`jnl`	BAIoT-EMS: Consortium network for small-medium enterprises management system with blockchain and augmented intelligence of things. Eng. Appl. Artif. Intell. Abdullah Ayub Khan, Jing Yang, Asif Ali Laghari, Abdullah M. Baqasah, Roobaea Alroobaea, Chin Soon Ku, Roohallah Alizadehsani, U. Rajendra Acharya, Lip Yee Por
2025	A	`conf`	Brain Ageing Prediction Using Isolation Forest Technique and Residual Neural Network (ResNet). DIS Saadat Behzadi, Danial Sharifrazi, Roohallah Alizadehsani, Mojtaba Lotfaliany, Mohammadreza Mohebbi
2025	J	`jnl`	Corrections to "Impact of Artificial Intelligence in Nursing for Geriatric Clinical Care for Chronic Diseases: A Systematic Literature Review". IEEE Access Mahdieh Poodineh Moghadam, Zabih Allah Moghadam, Mohammad Reza Chalak Qazani, Pawel Plawiak, Roohallah Alizadehsani
2025	J	`jnl`	Current and future roles of artificial intelligence in retinopathy of prematurity. Artif. Intell. Rev. Ali Jafarizadeh, Shadi Farabi Maleki, Parnia Pouya, Navid Sobhi, Mirsaeed Abdollahi, Siamak Pedrammehr, Chee Peng Lim, Houshyar Asadi, Roohallah Alizadehsani, Ru-San Tan, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya
2025	J	`jnl`	Enhancing Monte Carlo Dropout Performance for Uncertainty Quantification. CoRR Hamzeh Asgharnezhad, Afshar Shamsi, Roohallah Alizadehsani, Arash Mohammadi, Hamid Alinejad-Rokny
2025	A	`conf`	Enhancing Multiagent Genetic Network Programming Performance Using Search Space Reduction. DIS Ali Kohan, Mohamad Roshanzamir, Roohallah Alizadehsani
2025	J	`jnl`	Exploring the Relationships Between Physiological Signals During Automated Fatigue Detection. CoRR Kourosh Kakhi, Abbas Khosravi, Roohallah Alizadehsani, U. Rajendra Acharya
2025	J	`jnl`	Fatigue monitoring using wearables and AI: Trends, challenges, and future opportunities. Comput. Biol. Medicine Kourosh Kakhi, Senthil Kumar Jagatheesaperumal, Abbas Khosravi, Roohallah Alizadehsani, U. Rajendra Acharya
2025	J	`jnl`	Guest Editorial: Current Trends and Future Directions in Biomedical Data Science. IEEE J. Biomed. Health Informatics Hossein Moosaei, Roohallah Alizadehsani, Mario Rosario Guarracino, Jerry Chun-Wei Lin
2025	A	`conf`	ICU Outcomes Prediction Using Optimized Extra Trees Classifier and Lasso-Based Feature Selection. DIS Mohammad Ali Nematollahi, Mohammad Maftoun, Maryam Khademi, Ali Abbaszadeh Sori, Alireza Atashi, Roohallah Alizadehsani, Hossein Moosaei
2025	A	`conf`	Malicious URL Detection Using Optimized Hist Gradient Boosting Classifier Based on the Grid Search Method. DIS Mohammad Maftoun, Ehsanullah Zia, Nima Shadkam, Seyedeh Somayeh Salehi Komamardakhi, Zulkefli Mansor, Mohammad Ali Nematollahi, Emrah Arslan, Roohallah Alizadehsani
2025	J	`jnl`	Neurostressology: A systematic review of EEG-based automated mental stress perspectives. Inf. Fusion Sayantan Acharya, Abbas Khosravi, Douglas C. Creighton, Roohallah Alizadehsani, U. Rajendra Acharya
2025	J	`jnl`	No-Reference Image Contrast Assessment with Customized EfficientNet-B0. CoRR Javad Hassannataj Joloudari, Bita Mesbahzadeh, Omid Zare, Emrah Arslan, Roohallah Alizadehsani, Hossein Moosaei
2025	J	`jnl`	Rewiring Human Brain Networks via Lightweight Dynamic Connectivity Framework: An EEG-Based Stress Validation. CoRR Sayantan Acharya, Abbas Khosravi, Douglas C. Creighton, Roohallah Alizadehsani, U. Rajendra Acharya
2025	J	`jnl`	SC3D: Semantic-guided and Class-adaptive cross-domain fusion for 3D object detection in autonomous vehicles. Expert Syst. Appl. Husnain Mushtaq, Xiaoheng Deng, Roohallah Alizadehsani, Muhammad Shahid Iqbal, Tamoor Khan, Adeel Ahmed Abbasi
2025	J	`jnl`	Uncertainty-Aware Deep Learning for Automated Skin Cancer Classification: A Comprehensive Evaluation. CoRR Hamzeh Asgharnezhad, Pegah Tabarisaadi, Abbas Khosravi, Roohallah Alizadehsani, U. Rajendra Acharya
2024	J	`jnl`	A Multi-Channel Advertising Budget Allocation Using Reinforcement Learning and an Improved Differential Evolution Algorithm. IEEE Access Mengfan Li, Jian Zhang, Roohallah Alizadehsani, Pawel Plawiak
2024	J	`jnl`	A Reinforcement Learning Approach Combined With Scope Loss Function for Crime Prediction on Twitter (X). IEEE Access Liu Yang, Guofan Jiang, Yixin Zhang, Wei Qianze, Zhang Jian, Roohallah Alizadehsani, Pawel Plawiak
2024	J	`jnl`	A novel myocarditis detection combining deep reinforcement learning and an improved differential evolution algorithm. CAAI Trans. Intell. Technol. Jing Yang, Touseef Sadiq, Jiale Xiong, Muhammad Awais, Uzair Aslam Bhatti, Roohallah Alizadehsani, Juan Manuel Górriz
2024	J	`jnl`	A review of Explainable Artificial Intelligence in healthcare. Comput. Electr. Eng. Zahra Sadeghi, Roohallah Alizadehsani, Mehmet Akif Cifci, Samina Kausar, Rizwan Rehman, Priyakshi Mahanta, Pranjal Kumar Bora, Ammar Almasri, Rami S. Alkhawaldeh, Sadiq Hussain, Bilal Alatas, Afshin Shoeibi, Hossein Moosaei, Milan Hladík, Saeid Nahavandi, Panos M. Pardalos
2024	J	`jnl`	Advancements in Machine Learning and Deep Learning for Early Detection and Management of Mental Health Disorder. CoRR Kamala Devi Kannan, Senthil Kumar Jagatheesaperumal, Rajesh N. V. P. S. Kandala, Mojtaba Lotfaliany, Roohallah Alizadehsani, Mohammadreza Mohebbi
2024	J	`jnl`	Advancements in Radiomics and Artificial Intelligence for Thyroid Cancer Diagnosis. CoRR Milad Yousefi, Shadi Farabi Maleki, Ali Jafarizadeh, Mahya Ahmadpour Youshanlui, Aida Jafari, Siamak Pedrammehr, Roohallah Alizadehsani, Ryszard Tadeusiewicz, Pawel Plawiak
2024	J	`jnl`	An adaptive ensemble deep learning framework for reliable detection of pandemic patients. Comput. Biol. Medicine Muhammad Shahid Iqbal, Rizwan Ali Naqvi, Roohallah Alizadehsani, Sadiq Hussain, Syed Atif Moqurrab, Seung-Won Lee
2024	J	`jnl`	Application of artificial intelligence techniques for non-alcoholic fatty liver disease diagnosis: A systematic review (2005-2023). Comput. Methods Programs Biomed. Hamed Zamanian, Ahmad Shalbaf, M. R. Zali, A. R. Khalaj, P. Dehghan, M. Tabesh, B. Hatami, Roohallah Alizadehsani, Ru-San Tan, U. Rajendra Acharya
2024	J	`jnl`	Artificial Intelligence and Diabetes Mellitus: An Inside Look Through the Retina. CoRR Yasin Sadeghi Bazargani, Majid Mirzaei, Navid Sobhi, Mirsaeed Abdollahi, Ali Jafarizadeh, Siamak Pedrammehr, Roohallah Alizadehsani, Ru-San Tan, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya
2024	J	`jnl`	Artificial intelligence in assessing cardiovascular diseases and risk factors via retinal fundus images: A review of the last decade. WIREs Data. Mining. Knowl. Discov. Mirsaeed Abdollahi, Ali Jafarizadeh, Amirhosein Ghafouri Asbagh, Navid Sobhi, Keysan Pourmoghtader, Siamak Pedrammehr, Houshyar Asadi, Ru-San Tan, Roohallah Alizadehsani, U. Rajendra Acharya
2024	J	`jnl`	Automated detection and forecasting of COVID-19 using deep learning techniques: A review. Neurocomputing Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Navid Ghassemi, Delaram Sadeghi, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Sadiq Hussain, Assef Zare, Zahra Alizadeh Sani, Fahime Khozeimeh, Saeid Nahavandi, U. Rajendra Acharya, Juan Manuel Górriz
2024	J	`jnl`	Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis: A machine learning approach. Biomed. Signal Process. Control. Danial Sharifrazi, Nouman Javed, Roohallah Alizadehsani, Prasad N. Paradkar, U. Rajendra Acharya, Asim Bhatti
2024	J	`jnl`	Brain Ageing Prediction using Isolation Forest Technique and Residual Neural Network (ResNet). CoRR Saadat Behzadi, Danial Sharifrazi, Roohallah Alizadehsani, Mojtaba Lotfaliany, Mohammadreza Mohebbi
2024	J	`jnl`	Comparison Between State-of-the-Art Color Local Binary Pattern-Based Descriptors for Image Retrieval. IEEE Access Mahmood Sotoodeh, Ali Kohan, Mohamad Roshanzamir, Senthil Kumar Jagatheesaperumal, Mohammad Reza Chalak Qazani, Javad Hassannataj Joloudari, Roohallah Alizadehsani, Pawel Plawiak
2024	J	`jnl`	Complex Emotion Recognition System using basic emotions via Facial Expression, EEG, and ECG Signals: a review. CoRR Javad Hassannataj Joloudari, Mohammad Maftoun, Bahareh Nakisa, Roohallah Alizadehsani, Meisam Yadollahzadeh Tabari
2024	J	`jnl`	Current and future roles of artificial intelligence in retinopathy of prematurity. CoRR Ali Jafarizadeh, Shadi Farabi Maleki, Parnia Pouya, Navid Sobhi, Mirsaeed Abdollahi, Siamak Pedrammehr, Chee Peng Lim, Houshyar Asadi, Roohallah Alizadehsani, Ru-San Tan, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya
2024	J	`jnl`	Deep learning for personalized health monitoring and prediction: A review. Comput. Intell. Robertas Damasevicius, Senthil Kumar Jagatheesaperumal, Rajesh N. V. P. S. Kandala, Sadiq Hussain, Roohallah Alizadehsani, Juan Manuel Górriz
2024	J	`jnl`	Deep learning in spatially resolved transcriptomics: a comprehensive technical view. Briefings Bioinform. Roxana Zahedi, Reza Ghamsari, Ahmadreza Argha, Callum Macphillamy, Amin Beheshti, Roohallah Alizadehsani, Nigel H. Lovell, Mohammad Lotfollahi, Hamid Alinejad-Rokny
2024	J	`jnl`	Designing a Secure Mechanism for Image Transferring System Based on Uncertain Fractional Order Chaotic Systems and NLFPID Sliding Mode Controller. Axioms Mohammad Rasouli, Assef Zare, Hassan Yaghoubi, Roohallah Alizadehsani
2024	J	`jnl`	Designing interpretable ML system to enhance trust in healthcare: A systematic review to proposed responsible clinician-AI-collaboration framework. Inf. Fusion Elham Nasarian, Roohallah Alizadehsani, U. Rajendra Acharya, Kwok-Leung Tsui
2024	Misc	`conf`	Early Diagnosis of Schizophrenia in EEG Signals Using One Dimensional Transformer Model. IWINAC Afshin Shoeibi, Mahboobeh Jafari, Delaram Sadeghi, Roohallah Alizadehsani, Hamid Alinejad-Rokny, Amin Beheshti, Juan Manuel Górriz
2024	J	`jnl`	Efficient reinforcement learning-based method for plagiarism detection boosted by a population-based algorithm for pretraining weights. Expert Syst. Appl. Jiale Xiong, Jing Yang, Lei Yan, Muhammad Awais, Abdullah Ayub Khan, Roohallah Alizadehsani, U. Rajendra Acharya
2024	Misc	`conf`	Enhancing Coronary Artery Disease Classification Using Optimized MLP Based on Genetic Algorithm. IWINAC Mohammad Hashemi, Seyedeh Somayeh Salehi Komamardakhi, Mohammad Maftoun, Omid Zare, Javad Hassannataj Joloudari, Mohammad Ali Nematollahi, Roohallah Alizadehsani, Pietro Sala, Juan Manuel Górriz
2024	Misc	`conf`	Enhancing Interpretability in Machine Learning: A Focus on Genetic Network Programming, Its Variants, and Applications. IWINAC Mohamad Roshanzamir, Roohallah Alizadehsani, Seyed Vahid Moravvej, Javad Hassannataj Joloudari, Hamid Alinejad-Rokny, Juan Manuel Górriz
2024	J	`jnl`	Enhancing Multiagent Genetic Network Programming Performance Using Search Space Reduction. CoRR Ali Kohan, Mohamad Roshanzamir, Roohallah Alizadehsani
2024	J	`jnl`	Explainable Artificial Intelligence for Drug Discovery and Development: A Comprehensive Survey. IEEE Access Roohallah Alizadehsani, Solomon Sunday Oyelere, Sadiq Hussain, Senthil Kumar Jagatheesaperumal, Rene Ripardo Calixto, Mohamed Rahouti, Mohamad Roshanzamir, Victor Hugo C. de Albuquerque
2024	J	`jnl`	Fatigue Monitoring Using Wearables and AI: Trends, Challenges, and Future Opportunities. CoRR Kourosh Kakhi, Senthil Kumar Jagatheesaperumal, Abbas Khosravi, Roohallah Alizadehsani, U. Rajendra Acharya
2024	J	`jnl`	Functional Classification of Spiking Signal Data Using Artificial Intelligence Techniques: A Review. CoRR Danial Sharifrazi, Nouman Javed, Javad Hassannataj Joloudari, Roohallah Alizadehsani, Prasad N. Paradkar, Ru-San Tan, U. Rajendra Acharya, Asim Bhatti
2024	J	`jnl`	GAN-MD: A myocarditis detection using multi-channel convolutional neural networks and generative adversarial network-based data augmentation. CAAI Trans. Intell. Technol. Hengame Ahmadi Golilarz, Alireza Azadbar, Roohallah Alizadehsani, Juan Manuel Górriz
2024	J	`jnl`	Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020). Ann. Oper. Res. Roohallah Alizadehsani, Mohamad Roshanzamir, Sadiq Hussain, Abbas Khosravi, Afsaneh Koohestani, Mohammad Hossein Zangooei, Moloud Abdar, Adham Beykikhoshk, Afshin Shoeibi, Assef Zare, Maryam Panahiazar, Saeid Nahavandi, Dipti Srinivasan, Amir F. Atiya, U. Rajendra Acharya
2024	J	`jnl`	Impact of Artificial Intelligence in Nursing for Geriatric Clinical Care for Chronic Diseases: A Systematic Literature Review. IEEE Access Mahdieh Poodineh Moghadam, Zabih Allah Moghadam, Mohammad Reza Chalak Qazani, Pawel Plawiak, Roohallah Alizadehsani
2024	Misc	`conf`	Improving Prediction of Mortality in ICU via Fusion of SelectKBest with SMOTE Method and Extra Tree Classifier. IWINAC Mohammad Maftoun, Javad Hassannataj Joloudari, Omid Zare, Maryam Khademi, Alireza Atashi, Mohammad Ali Nematollahi, Roohallah Alizadehsani, Juan Manuel Górriz
2024	J	`jnl`	Machine learning meets advanced robotic manipulation. Inf. Fusion Saeid Nahavandi, Roohallah Alizadehsani, Darius Nahavandi, Chee Peng Lim, Kevin Kelly, Fernando Bello
2024	Misc	`conf`	Morning Anxiety Detection Through Smartphone-Based Photoplethysmography Signals Analysis Using Machine Learning Methods. IWINAC Masoud Sistaninezhad, Ali Jafarizadeh, Saman Rajebi, Siamak Pedrammehr, Roohallah Alizadehsani, Juan Manuel Górriz
2024	J	`jnl`	NeuroHAR: A Neuroevolutionary Method for Human Activity Recognition (HAR) for Health Monitoring. IEEE Access Furqan Alam, Pawel Plawiak, Ahmed Almaghthawi, Mohammad Reza Chalak Qazani, Sanat Mohanty, Roohallah Alizadehsani
2024	J	`jnl`	Progress and trends in neurological disorders research based on deep learning. Comput. Medical Imaging Graph. Muhammad Shahid Iqbal, Md Belal Bin Heyat, Saba Parveen, Mohd Ammar Bin Hayat, Mohamad Roshanzamir, Roohallah Alizadehsani, Faijan Akhtar, Eram Sayeed, Sadiq Hussain, Hany S. Hussein, Mohamad Sawan
2024	J	`jnl`	Resource allocation problem and artificial intelligence: the state-of-the-art review (2009-2023) and open research challenges. Multim. Tools Appl. Javad Hassannataj Joloudari, Sanaz Mojrian, Hamid Saadatfar, Issa Nodehi, Fatemeh Fazl, Sahar Khanjani Shirkharkolaie, Roohallah Alizadehsani, Hussain Mohammed Dipu Kabir, Ru-San Tan, U. Rajendra Acharya
2024	J	`jnl`	Specific Heat Capacity Extraction of Soybean Oil/MXene Nanofluids Using Optimized Long Short-Term Memory. IEEE Access Mohammad Reza Chalak Qazani, Navid Aslfattahi, Vladimir V. Kulish, Houshyar Asadi, Michal Schmirler, Muhammad Zakarya, Roohallah Alizadehsani, Muhammad Haleem, K. Kadirgama
2024	J	`jnl`	Stock Market Prediction With Transductive Long Short-Term Memory and Social Media Sentiment Analysis. IEEE Access Ali Peivandizadeh, Sima Hatami, Amirhossein Nakhjavani, Lida Khoshsima, Mohammad Reza Chalak Qazani, Muhammad Haleem, Roohallah Alizadehsani
2024	J	`jnl`	Uncertainty aware neural network from similarity and sensitivity. Appl. Soft Comput. Hussain Mohammed Dipu Kabir, Subrota Kumar Mondal, Sadia Khanam, Abbas Khosravi, Shafin Rahman, Mohammad Reza Chalak Qazani, Roohallah Alizadehsani, Houshyar Asadi, Shady M. K. Mohamed, Saeid Nahavandi, U. Rajendra Acharya
2023	J	`jnl`	A Brief Review of Explainable Artificial Intelligence in Healthcare. CoRR Zahra Sadeghi, Roohallah Alizadehsani, Mehmet Akif Cifci, Samina Kausar, Rizwan Rehman, Priyakshi Mahanta, Pranjal Kumar Bora, Ammar Almasri, Rami S. Alkhawaldeh, Sadiq Hussain, Bilal Alatas, Afshin Shoeibi, Hossein Moosaei, Milan Hladík, Saeid Nahavandi, Panos M. Pardalos
2023	J	`jnl`	A novel uncertainty-aware deep learning technique with an application on skin cancer diagnosis. Neural Comput. Appl. Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Ziba Bouchani, Khadijeh Jahanian, Morteza Saberi, Xianzhi Wang, Imran Razzak, Roohallah Alizadehsani, Arash Mohammadi, Hamid Alinejad-Rokny
2023	J	`jnl`	AI Framework for Early Diagnosis of Coronary Artery Disease: An Integration of Borderline SMOTE, Autoencoders and Convolutional Neural Networks Approach. CoRR Elham Nasarian, Danial Sharifrazi, Saman Mohsenirad, Kwok Tsui, Roohallah Alizadehsani
2023	J	`jnl`	ALEC: Active learning with ensemble of classifiers for clinical diagnosis of coronary artery disease. Comput. Biol. Medicine Fahime Khozeimeh, Roohallah Alizadehsani, Milad Shirani, Mehrzad Tartibi, Afshin Shoeibi, Hamid Alinejad-Rokny, Chandrashekhar Harlapur, Sayed Javed Sultanzadeh, Abbas Khosravi, Saeid Nahavandi, Ru-San Tan, U. Rajendra Acharya
2023	J	`jnl`	An Investigation of Hepatitis B Virus Genome using Markov Models. CoRR Khadijeh Jahanian, Elnaz Shalbafian, Morteza Saberi, Roohallah Alizadehsani, Iman Dehzangi
2023	J	`jnl`	Artificial Intelligence in Assessing Cardiovascular Diseases and Risk Factors via Retinal Fundus Images: A Review of the Last Decade. CoRR Mirsaeed Abdollahi, Ali Jafarizadeh, Amirhosein Ghafouri Asbagh, Navid Sobhi, Keysan Pourmoghtader, Siamak Pedrammehr, Houshyar Asadi, Roohallah Alizadehsani, Ru-San Tan, U. Rajendra Acharya
2023	J	`jnl`	Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis. CoRR Danial Sharifrazi, Nouman Javed, Roohallah Alizadehsani, Prasad N. Paradkar, U. Rajendra Acharya, Asim Bhatti
2023	J	`jnl`	Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review. Comput. Biol. Medicine Mahboobeh Jafari, Afshin Shoeibi, Marjane Khodatars, Navid Ghassemi, Parisa Moridian, Roohallah Alizadehsani, Abbas Khosravi, Sai Ho Ling, Niloufar Delfan, Yudong Zhang, Shui-Hua Wang, Juan Manuel Górriz, Hamid Alinejad-Rokny, U. Rajendra Acharya
2023	J	`jnl`	BERT-deep CNN: state of the art for sentiment analysis of COVID-19 tweets. Soc. Netw. Anal. Min. Javad Hassannataj Joloudari, Sadiq Hussain, Mohammad Ali Nematollahi, Rouhollah Bagheri, Fatemeh Fazl, Roohallah Alizadehsani, Reza Lashgari, Ashis Talukder
2023	J	`jnl`	Designing Interpretable ML System to Enhance Trustworthy AI in Healthcare: A Systematic Review of the Last Decade to A Proposed Robust Framework. CoRR Elham Nasarian, Roohallah Alizadehsani, U. Rajendra Acharya, Kwok-Leung Tsui
2023	J	`jnl`	Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review. Inf. Fusion Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Navid Ghassemi, Parisa Moridian, Roohallah Alizadehsani, Sai Ho Ling, Abbas Khosravi, Hamid Alinejad-Rokny, Hak-Keung Lam, Matthew Fuller-Tyszkiewicz, U. Rajendra Acharya, Donovan Anderson, Yudong Zhang, Juan Manuel Górriz
2023	J	`jnl`	Explainable Artificial Intelligence for Drug Discovery and Development - A Comprehensive Survey. CoRR Roohallah Alizadehsani, Sadiq Hussain, Rene Ripardo Calixto, Victor Hugo C. de Albuquerque, Mohamad Roshanzamir, Mohamed Rahouti, Senthil Kumar Jagatheesaperumal
2023	J	`jnl`	Identification of Clinical Features Associated with Mortality in COVID-19 Patients. Oper. Res. Forum Rahimeh Eskandarian, Roohallah Alizadehsani, Mohaddeseh Behjati, Mehrdad Zahmatkesh, Zahra Alizadeh Sani, Azadeh Haddadi, Kourosh Kakhi, Mohamad Roshanzamir, Afshin Shoeibi, Sadiq Hussain, Fahime Khozeimeh, Mohammad Tayarani Darbandy, Javad Hassannataj Joloudari, Reza Lashgari, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam
2023	—	`conf`	Improving PPG Signal Classification with Machine Learning: The Power of a Second Opinion. DSP Hamzeh Asgharnezhad, Afshar Shamsi Jokandan, Ivan Bakhshayeshi, Roohallah Alizadehsani, Somayyeh Chamaani, Hamid Alinejad-Rokny
2023	J	`jnl`	Machine Learning Meets Advanced Robotic Manipulation. CoRR Saeid Nahavandi, Roohallah Alizadehsani, Darius Nahavandi, Chee Peng Lim, Kevin Kelly, Fernando Bello
2023	J	`jnl`	Novel Frequency-Based Approach to Analyze the Stability of Polynomial Fractional Differential Equations. Axioms Hassan Yaghoubi, Assef Zare, Mohammad Rasouli, Roohallah Alizadehsani
2023	J	`jnl`	Revolutionizing Genomics with Reinforcement Learning Techniques. CoRR Mohsen Karami, Roohallah Alizadehsani, Khadijeh Jahanian, Ahmadreza Argha, Iman Dehzangi, Hamid Alinejad-Rokny
2023	J	`jnl`	Swarm Intelligence in Internet of Medical Things: A Review. Sensors Roohallah Alizadehsani, Mohamad Roshanzamir, Navid Hoseini Izadi, Raffaele Gravina, Hussain Mohammed Dipu Kabir, Darius Nahavandi, Hamid Alinejad-Rokny, Abbas Khosravi, U. Rajendra Acharya, Saeid Nahavandi, Giancarlo Fortino
2023	J	`jnl`	Uncertainty Aware Neural Network from Similarity and Sensitivity. CoRR Hussain Mohammed Dipu Kabir, Subrota Kumar Mondal, Sadia Khanam, Abbas Khosravi, Shafin Rahman, Mohammad Reza Chalak Qazani, Roohallah Alizadehsani, Houshyar Asadi, Shady M. K. Mohamed, Saeid Nahavandi, U. Rajendra Acharya
2023	A	`conf`	Using Data Mining Techniques to Analyze Facial Expression Motion Vectors. DIS Mohamad Roshanzamir, Roohallah Alizadehsani, Mahdi Roshanzamir, Afshin Shoeibi, Juan Manuel Górriz, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya
2022	J	`jnl`	A Comprehensive Review on Autonomous Navigation. CoRR Saeid Nahavandi, Roohallah Alizadehsani, Darius Nahavandi, Shady M. K. Mohamed, Navid Mohajer, Mohammad Rokonuzzaman, Ibrahim Hossain
2022	J	`jnl`	An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works. Comput. Biol. Medicine Delaram Sadeghi, Afshin Shoeibi, Navid Ghassemi, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Mohammad Teshnehlab, Juan Manuel Górriz, Fahime Khozeimeh, Yu-Dong Zhang, Saeid Nahavandi, U. Rajendra Acharya
2022	J	`jnl`	An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works. Comput. Biol. Medicine Afshin Shoeibi, Parisa Moridian, Marjane Khodatars, Navid Ghassemi, Mahboobeh Jafari, Roohallah Alizadehsani, Yinan Kong, Juan Manuel Górriz, Javier Ramírez, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya
2022	J	`jnl`	Analysis and Design of Robust Controller for Polynomial Fractional Differential Systems Using Sum of Squares. Axioms Hassan Yaghoubi, Assef Zare, Roohallah Alizadehsani
2022	J	`jnl`	Application of artificial intelligence in wearable devices: Opportunities and challenges. Comput. Methods Programs Biomed. Darius Nahavandi, Roohallah Alizadehsani, Abbas Khosravi, U. Rajendra Acharya
2022	J	`jnl`	Automated Diagnosis of Cardiovascular Diseases from Cardiac Magnetic Resonance Imaging Using Deep Learning Models: A Review. CoRR Mahboobeh Jafari, Afshin Shoeibi, Marjane Khodatars, Navid Ghassemi, Parisa Moridian, Niloufar Delfan, Roohallah Alizadehsani, Abbas Khosravi, Sai Ho Ling, Yu-Dong Zhang, Shui-Hua Wang, Juan Manuel Górriz, Hamid Alinejad-Rokny, U. Rajendra Acharya
2022	J	`jnl`	Automatic Autism Spectrum Disorder Detection Using Artificial Intelligence Methods with MRI Neuroimaging: A Review. CoRR Parisa Moridian, Navid Ghassemi, Mahboobeh Jafari, Salam Salloum-Asfar, Delaram Sadeghi, Marjane Khodatars, Afshin Shoeibi, Abbas Khosravi, Sai Ho Ling, Abdulhamit Subasi, Sara A. Abdulla, Roohallah Alizadehsani, Juan Manuel Górriz, U. Rajendra Acharya
2022	J	`jnl`	Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence. CoRR Mahboobeh Jafari, Afshin Shoeibi, Navid Ghassemi, Jónathan Heras, Abbas Khosravi, Sai Ho Ling, Roohallah Alizadehsani, Amin Beheshti, Yu-Dong Zhang, Shui-Hua Wang, Juan Manuel Górriz, U. Rajendra Acharya, Hamid Alinejad-Rokny
2022	J	`jnl`	Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works. WIREs Data Mining Knowl. Discov. Parisa Moridian, Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Ram Bilas Pachori, Ali Khadem, Roohallah Alizadehsani, Sai Ho Ling
2022	J	`jnl`	BERT-Deep CNN: State-of-the-Art for Sentiment Analysis of COVID-19 Tweets. CoRR Javad Hassannataj Joloudari, Sadiq Hussain, Mohammad Ali Nematollahi, Rouhollah Bagheri, Fatemeh Fazl, Roohallah Alizadehsani, Reza Lashgari
2022	J	`jnl`	Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies. Biomed. Signal Process. Control. Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Parisa Moridian, Roohallah Alizadehsani, Assef Zare, Abbas Khosravi, Abdulhamit Subasi, U. Rajendra Acharya, Juan Manuel Górriz
2022	J	`jnl`	FCM-DNN: diagnosing coronary artery disease by deep accuracy Fuzzy C-Means clustering model. CoRR Javad Hassannataj Joloudari, Hamid Saadatfar, Mohammad GhasemiGol, Roohallah Alizadehsani, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Edris Hassannataj, Danial Sharifrazi, Zulkefli Mansor
2022	J	`jnl`	Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries. Expert Syst. J. Knowl. Eng. Roohallah Alizadehsani, Mohamad Roshanzamir, Moloud Abdar, Adham Beykikhoshk, Abbas Khosravi, Saeid Nahavandi, Pawel Plawiak, Ru-San Tan, U. Rajendra Acharya
2022	J	`jnl`	Multi-State Synchronization of Chaotic Systems with Distributed Fractional Order Derivatives and Its Application in Secure Communications. Big Data Cogn. Comput. Ali Akbar Kekha Javan, Assef Zare, Roohallah Alizadehsani
2022	J	`jnl`	Resource allocation optimization using artificial intelligence methods in various computing paradigms: A Review. CoRR Javad Hassannataj Joloudari, Roohallah Alizadehsani, Issa Nodehi, Sanaz Mojrian, Fatemeh Fazl, Sahar Khanjani Shirkharkolaie, Hussain Mohammed Dipu Kabir, Ru-San Tan, U. Rajendra Acharya
2022	J	`jnl`	Robust Multi-Mode Synchronization of Chaotic Fractional Order Systems in the Presence of Disturbance, Time Delay and Uncertainty with Application in Secure Communications. Big Data Cogn. Comput. Ali Akbar Kekha Javan, Assef Zare, Roohallah Alizadehsani, Saeed Balochian
2022	J	`jnl`	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. Axioms Mohammad Rasouli, Assef Zare, Majid Hallaji, Roohallah Alizadehsani
2021	J	`jnl`	A Survey of Applications of Artificial Intelligence for Myocardial Infarction Disease Diagnosis. CoRR Javad Hassannataj Joloudari, Sanaz Mojrian, Issa Nodehi, Amir Mashmool, Zeynab Kiani Zadegan, Sahar Khanjani Shirkharkolaie, Tahereh Tamadon, Samiyeh Khosravi, Mitra Akbari, Edris Hassannataj, Roohallah Alizadehsani, Danial Sharifrazi, Amir Mosavi
2021	J	`jnl`	A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals. Expert Syst. Appl. Afshin Shoeibi, Navid Ghassemi, Roohallah Alizadehsani, Modjtaba Rouhani, Hossein Hosseini-Nejad, Abbas Khosravi, Maryam Panahiazar, Saeid Nahavandi
2021	J	`jnl`	Accurate Prediction Using Triangular Type-2 Fuzzy Linear Regression. CoRR Assef Zare, Afshin Shoeibi, Narges Shafaei Bajestani, Parisa Moridian, Roohallah Alizadehsani, Majid Halaji, Abbas Khosravi
2021	J	`jnl`	An Overview on Artificial Intelligence Techniques for Diagnosis of Schizophrenia Based on Magnetic Resonance Imaging Modalities: Methods, Challenges, and Future Works. CoRR Delaram Sadeghi, Afshin Shoeibi, Navid Ghassemi, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Mohammad Teshnehlab, Juan Manuel Górriz, Saeid Nahavandi
2021	J	`jnl`	Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review. CoRR Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Parisa Moridian, Mitra Rezaei, Roohallah Alizadehsani, Fahime Khozeimeh, Juan Manuel Górriz, Jónathan Heras, Maryam Panahiazar, Saeid Nahavandi, U. Rajendra Acharya
2021	J	`jnl`	Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works. CoRR Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Mahboobeh Jafari, Parisa Moridian, Roohallah Alizadehsani, Ali Khadem, Yinan Kong, Assef Zare, Juan Manuel Górriz, Javier Ramírez, Maryam Panahiazar, Abbas Khosravi, Saeid Nahavandi
2021	J	`jnl`	Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review. Comput. Biol. Medicine Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Parisa Moridian, Mitra Rezaei, Roohallah Alizadehsani, Fahime Khozeimeh, Juan Manuel Górriz, Jónathan Heras, Maryam Panahiazar, Saeid Nahavandi, U. Rajendra Acharya
2021	J	`jnl`	Automatic Diagnosis of Epileptic Seizures in EEG Signals Using Fractal Dimension Features and Convolutional Autoencoder Method. Big Data Cogn. Comput. Anis Malekzadeh, Assef Zare, Mahdi Yaghoobi, Roohallah Alizadehsani
2021	J	`jnl`	Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models. Frontiers Neuroinformatics Afshin Shoeibi, Delaram Sadeghi, Parisa Moridian, Navid Ghassemi, Jónathan Heras, Roohallah Alizadehsani, Ali Khadem, Yinan Kong, Saeid Nahavandi, Yu-Dong Zhang, Juan Manuel Górriz
2021	J	`jnl`	Automatic Diagnosis of Schizophrenia using EEG Signals and CNN-LSTM Models. CoRR Afshin Shoeibi, Delaram Sadeghi, Parisa Moridian, Navid Ghassemi, Jónathan Heras, Roohallah Alizadehsani, Ali Khadem, Yinan Kong, Saeid Nahavandi, Juan Manuel Górriz
2021	J	`jnl`	CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients. CoRR Fahime Khozeimeh, Danial Sharifrazi, Navid Hosseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Roohallah Alizadehsani, Juan Manuel Górriz, Sadiq Hussain, Zahra Alizadeh Sani, Hossein Moosaei, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam
2021	J	`jnl`	Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991-2020. Comput. Biol. Medicine Roohallah Alizadehsani, Abbas Khosravi, Mohamad Roshanzamir, Moloud Abdar, Nizal Sarrafzadegan, Davood Shafie, Fahime Khozeimeh, Afshin Shoeibi, Saeid Nahavandi, Maryam Panahiazar, Andrew Bishara, Ramin E. Beygui, Rishi Puri, Samir Kapadia, Ru-San Tan, U. Rajendra Acharya
2021	—	`conf`	Data Analytics of Electronic Health Records to Enhance Care of Coronary Artery Disease in Younger Women with Avoiding Possible Delay in Treatment. MedInfo Maryam Panahiazar, Andrew M. Bishara, Yorick Chern, Roohallah Alizadehsani, Omar S. Latif, Dexter Hadley, Ramin E. Beygui
2021	J	`jnl`	Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review. Comput. Biol. Medicine Marjane Khodatars, Afshin Shoeibi, Delaram Sadeghi, Navid Ghaasemi, Mahboobeh Jafari, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Assef Zare, Yinan Kong, Abbas Khosravi, Saeid Nahavandi, Sadiq Hussain, U. Rajendra Acharya, Michael Berk
2021	J	`jnl`	Design of Adaptive-Robust Controller for Multi-State Synchronization of Chaotic Systems with Unknown and Time-Varying Delays and Its Application in Secure Communication. Sensors Ali Akbar Kekha Javan, Afshin Shoeibi, Assef Zare, Navid Hosseini Izadi, Mahboobeh Jafari, Roohallah Alizadehsani, Parisa Moridian, Amir Mosavi, U. Rajendra Acharya, Saeid Nahavandi
2021	J	`jnl`	Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies. CoRR Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Parisa Moridian, Roohallah Alizadehsani, Assef Zare, Abbas Khosravi, Abdulhamit Subasi, U. Rajendra Acharya, Juan Manuel Górriz
2021	J	`jnl`	Epileptic Seizures Detection in EEG Signals Using Fusion Handcrafted and Deep Learning Features. Sensors Anis Malekzadeh, Assef Zare, Mahdi Yaghoobi, Hamid Reza Kobravi, Roohallah Alizadehsani
2021	J	`jnl`	Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images. Biomed. Signal Process. Control. Danial Sharifrazi, Roohallah Alizadehsani, Mohamad Roshanzamir, Javad Hassannataj Joloudari, Afshin Shoeibi, Mahboobeh Jafari, Sadiq Hussain, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Maryam Panahiazar, Assef Zare, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya
2021	J	`jnl`	Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images. CoRR Danial Sharifrazi, Roohallah Alizadehsani, Mohamad Roshanzamir, Javad Hassannataj Joloudari, Afshin Shoeibi, Mahboobeh Jafari, Sadiq Hussain, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Maryam Panahiazar, Assef Zare, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya
2021	J	`jnl`	GSVMA: A Genetic-Support Vector Machine-Anova method for CAD diagnosis based on Z-Alizadeh Sani dataset. CoRR Javad Hassannataj Joloudari, Faezeh Azizi, Mohammad Ali Nematollahi, Roohallah Alizadehsani, Edris Hassannataj, Amir Mosavi
2021	J	`jnl`	Medical Images Encryption Based on Adaptive-Robust Multi-Mode Synchronization of Chen Hyper-Chaotic Systems. Sensors Ali Akbar Kekha Javan, Mahboobeh Jafari, Afshin Shoeibi, Assef Zare, Marjane Khodatars, Navid Ghassemi, Roohallah Alizadehsani, Juan Manuel Górriz
2021	J	`jnl`	Time Series Forecasting of New Cases and New Deaths Rate for COVID-19 using Deep Learning Methods. CoRR Nooshin Ayoobi, Danial Sharifrazi, Roohallah Alizadehsani, Afshin Shoeibi, Juan Manuel Górriz, Hossein Moosaei, Abbas Khosravi, Saeid Nahavandi, Abdoulmohammad Gholamzadeh Chofreh, Feybi Ariani Goni, Jirí Jaromír Klemes, Amir Mosavi
2021	J	`jnl`	Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data. ACM Trans. Multim. Comput. Commun. Appl. Roohallah Alizadehsani, Danial Sharifrazi, Navid Hoseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Juan Manuel Górriz, Sadiq Hussain, Juan Eloy Arco, Zahra Alizadeh Sani, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya
2021	J	`jnl`	Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data. CoRR Roohallah Alizadehsani, Danial Sharifrazi, Navid Hosseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Juan Manuel Górriz, Sadiq Hussain, Juan Eloy Arco, Zahra Alizadeh Sani, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya
2021	J	`jnl`	What happens in Face during a facial expression? Using data mining techniques to analyze facial expression motion vectors. CoRR Mohamad Roshanzamir, Roohallah Alizadehsani, Mahdi Roshanzamir, Afshin Shoeibi, Juan Manuel Górriz, Abbas Khosravi, Saeid Nahavandi
2020	J	`jnl`	Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach. Pattern Recognit. Lett. Elham Nasarian, Moloud Abdar, Mohammad Amin Fahami, Roohallah Alizadehsani, Sadiq Hussain, Mohammad Ehsan Basiri, Mariam Zomorodi Moghadam, Xujuan Zhou, Pawel Plawiak, U. Rajendra Acharya, Ru-San Tan, Nizal Sarrafzadegan
2020	J	`jnl`	Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review. CoRR Afshin Shoeibi, Marjane Khodatars, Roohallah Alizadehsani, Navid Ghassemi, Mahboobeh Jafari, Parisa Moridian, Ali Khadem, Delaram Sadeghi, Sadiq Hussain, Assef Zare, Zahra Alizadeh Sani, Javad Bazeli, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Peng Shi
2020	J	`jnl`	Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review. CoRR Marjane Khodatars, Afshin Shoeibi, Navid Ghassemi, Mahboobeh Jafari, Ali Khadem, Delaram Sadeghi, Parisa Moridian, Sadiq Hussain, Roohallah Alizadehsani, Assef Zare, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Michael Berk
2020	J	`jnl`	Epileptic seizure detection using deep learning techniques: A Review. CoRR Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Mahboobeh Jafari, Sadiq Hussain, Roohallah Alizadehsani, Parisa Moridian, Abbas Khosravi, Hossein Hosseini-Nejad, Modjtaba Rouhani, Assef Zare, Ali Khadem, Saeid Nahavandi, Amir F. Atiya, U. Rajendra Acharya
2020	J	`jnl`	Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020). CoRR Roohallah Alizadehsani, Mohamad Roshanzamir, Sadiq Hussain, Abbas Khosravi, Afsaneh Koohestani, Mohammad Hossein Zangooei, Moloud Abdar, Adham Beykikhoshk, Afshin Shoeibi, Assef Zare, Maryam Panahiazar, Saeid Nahavandi, Dipti Srinivasan, Amir F. Atiya, U. Rajendra Acharya
2020	J	`jnl`	Material Recognition for Automated Progress Monitoring using Deep Learning Methods. CoRR Navid Ghassemi, Hadi Mahami, Mohammad Tayarani Darbandi, Afshin Shoeibi, Sadiq Hussain, Farnad Nasirzadeh, Roohallah Alizadehsani, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi
2020	J	`jnl`	Model uncertainty quantification for diagnosis of each main coronary artery stenosis. Soft Comput. Roohallah Alizadehsani, Mohamad Roshanzamir, Moloud Abdar, Adham Beykikhoshk, Mohammad Hossein Zangooei, Abbas Khosravi, Saeid Nahavandi, Ru-San Tan, U. Rajendra Acharya
2020	J	`jnl`	Objective Evaluation of Deep Uncertainty Predictions for COVID-19 Detection. CoRR Hamzeh Asgharnezhad, Afshar Shamsi Jokandan, Roohallah Alizadehsani, Abbas Khosravi, Saeid Nahavandi, Zahra Alizadeh Sani, Dipti Srinivasan
2020	J	`jnl`	Robust Adaptive Control Scheme for Teleoperation Systems With Delay and Uncertainties. IEEE Trans. Cybern. Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi, Peng Shi, Roohallah Alizadehsani
2019	J	`jnl`	A Knowledge Discovery in Motion Sickness: A Comprehensive Literature Review. IEEE Access Afsaneh Koohestani, Darius Nahavandi, Houshyar Asadi, Parham M. Kebria, Abbas Khosravi, Roohallah Alizadehsani, Saeid Nahavandi
2019	—	`conf`	Evaluating Architecture Impacts on Deep Imitation Learning Performance for Autonomous Driving. ICIT Parham M. Kebria, Roohallah Alizadehsani, Syed Moshfeq Salaken, Ibrahim Hossain, Abbas Khosravi, Hussain Mohammed Dipu Kabir, Afsaneh Koohestani, Houshyar Asadi, Saeid Nahavandi, Edward W. Tunstel, Mehrdad Saif
2019	J	`jnl`	IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment. J. Medical Syst. Moloud Abdar, Vivi Nur Wijayaningrum, Sadiq Hussain, Roohallah Alizadehsani, Pawel Plawiak, U. Rajendra Acharya, Vladimir Makarenkov
2019	J	`jnl`	Machine learning-based coronary artery disease diagnosis: A comprehensive review. Comput. Biol. Medicine Roohallah Alizadehsani, Moloud Abdar, Mohamad Roshanzamir, Abbas Khosravi, Parham M. Kebria, Fahime Khozeimeh, Saeid Nahavandi, Nizal Sarrafzadegan, U. Rajendra Acharya
2019	—	`conf`	Parsimonious Evolutionary-based Model Development for Detecting Artery Disease. ICIT Seyed Mohammad Jafar Jalali, Abbas Khosravi, Roohallah Alizadehsani, Syed Moshfeq Salaken, Parham Mohsenzadeh Kebria, Rishi Puri, Saeid Nahavandi
2018	—	`conf`	Deep Imitation Learning: The Impact of Depth on Policy Performance. ICONIP (1) Parham M. Kebria, Abbas Khosravi, Syed Moshfeq Salaken, Ibrahim Hossain, Hussain Mohammed Dipu Kabir, Afsaneh Koohestani, Roohallah Alizadehsani, Saeid Nahavandi
2018	J	`jnl`	Non-invasive detection of coronary artery disease in high-risk patients based on the stenosis prediction of separate coronary arteries. Comput. Methods Programs Biomed. Roohallah Alizadehsani, Mohammad Javad Hosseini, Abbas Khosravi, Fahime Khozeimeh, Mohamad Roshanzamir, Nizal Sarrafzadegan, Saeid Nahavandi
2017	J	`jnl`	An expert system for selecting wart treatment method. Comput. Biol. Medicine Fahime Khozeimeh, Roohallah Alizadehsani, Mohamad Roshanzamir, Abbas Khosravi, Pouran Layegh, Saeid Nahavandi
2017	J	`jnl`	Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithm. Comput. Methods Programs Biomed. Zeinab Arabasadi, Roohallah Alizadehsani, Mohamad Roshanzamir, Hossein Moosaei, Ali Asghar Yarifard
2016	J	`jnl`	Coronary artery disease detection using computational intelligence methods. Knowl. Based Syst. Roohallah Alizadehsani, Mohammad Hossein Zangooei, Mohammad Javad Hosseini, Jafar Habibi, Abbas Khosravi, Mohamad Roshanzamir, Fahime Khozeimeh, Nizal Sarrafzadegan, Saeid Nahavandi
2014	J	`jnl`	Disease Diagnosis with a hybrid method SVR using NSGA-II. Neurocomputing Mohammad Hossein Zangooei, Jafar Habibi, Roohallah Alizadehsani
2013	J	`jnl`	A data mining approach for diagnosis of coronary artery disease. Comput. Methods Programs Biomed. Roohallah Alizadehsani, Jafar Habibi, Mohammad Javad Hosseini, Hoda Mashayekhi, Reihane Boghrati, Asma Ghandeharioun, Behdad Bahadorian, Zahra Alizadeh Sani
2012	—	`conf`	Diagnosis of Coronary Artery Disease Using Cost-Sensitive Algorithms. ICDM Workshops Roohallah Alizadehsani, Mohammad Javad Hosseini, Zahra Alizadeh Sani, Asma Ghandeharioun, Reihane Boghrati
2012	J	`jnl`	Exerting Cost-Sensitive and Feature Creation Algorithms for Coronary Artery Disease Diagnosis. Int. J. Knowl. Discov. Bioinform. Roohallah Alizadehsani, Mohammad Javad Hosseini, Reihane Boghrati, Asma Ghandeharioun, Fahime Khozeimeh, Zahra Alizadeh Sani