Diagnosis of Coronary Artery Disease Using Cost-Sensitive Algorithms. - Roohallah Alizadehsani; Mohammad Javad Hosseini; Zahra Alizadeh Sani; Asma Ghandeharioun; Reihane Boghrati (ICDM Workshops, 2012)

Exerting Cost-Sensitive and Feature Creation Algorithms for Coronary Artery Disease Diagnosis. - Roohallah Alizadehsani; Mohammad Javad Hosseini; Reihane Boghrati; Asma Ghandeharioun; Fahime Khozeimeh; Zahra Alizadeh Sani (Int. J. Knowl. Discov. Bioinform., 2012)

A data mining approach for diagnosis of coronary artery disease. - Roohallah Alizadehsani; Jafar Habibi; Mohammad Javad Hosseini; Hoda Mashayekhi; Reihane Boghrati; Asma Ghandeharioun; Behdad Bahadorian; Zahra Alizadeh Sani (Comput. Methods Programs Biomed., 2013)

Disease Diagnosis with a hybrid method SVR using NSGA-II. - Mohammad Hossein Zangooei; Jafar Habibi; Roohallah Alizadehsani (Neurocomputing, 2014)

Coronary artery disease detection using computational intelligence methods. - Roohallah Alizadehsani; Mohammad Hossein Zangooei; Mohammad Javad Hosseini; Jafar Habibi; Abbas Khosravi; Mohamad Roshanzamir; Fahime Khozeimeh; Nizal Sarrafzadegan; Saeid Nahavandi (Knowl. Based Syst., 2016)

An expert system for selecting wart treatment method. - Fahime Khozeimeh; Roohallah Alizadehsani; Mohamad Roshanzamir; Abbas Khosravi; Pouran Layegh; Saeid Nahavandi (Comput. Biol. Medicine, 2017)

Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithm. - Zeinab Arabasadi; Roohallah Alizadehsani; Mohamad Roshanzamir; Hossein Moosaei; Ali Asghar Yarifard (Comput. Methods Programs Biomed., 2017)

Z-Alizadeh Sani. - Roohallah Alizadehsani; Mohamad Roshanzamir; Zahra Alizadeh Sani (UCI Machine Learning Repository, 2017)

extention of Z-Alizadeh sani dataset. - Roohallah Alizadehsani; Mohamad Roshanzamir; Zahra Alizadeh Sani (UCI Machine Learning Repository, 2017)

Deep Imitation Learning: The Impact of Depth on Policy Performance. - Parham M. Kebria; Abbas Khosravi; Syed Moshfeq Salaken; Ibrahim Hossain; Hussain Mohammed Dipu Kabir; Afsaneh Koohestani; Roohallah Alizadehsani; Saeid Nahavandi (ICONIP (1), 2018)

Non-invasive detection of coronary artery disease in high-risk patients based on the stenosis prediction of separate coronary arteries. - Roohallah Alizadehsani; Mohammad Javad Hosseini; Abbas Khosravi; Fahime Khozeimeh; Mohamad Roshanzamir; Nizal Sarrafzadegan; Saeid Nahavandi (Comput. Methods Programs Biomed., 2018)

Immunotherapy Dataset. - Fahime Khozeimeh; Roohallah Alizadehsani; Mohamad Roshanzamir; Pouran Layegh (UCI Machine Learning Repository, 2018)

Cryotherapy Dataset. - Fahime Khozeimeh; Roohallah Alizadehsani; Mohamad Roshanzamir; Pouran Layegh (UCI Machine Learning Repository, 2018)

Parsimonious Evolutionary-based Model Development for Detecting Artery Disease. - Seyed Mohammad Jafar Jalali; Abbas Khosravi; Roohallah Alizadehsani; Syed Moshfeq Salaken; Parham Mohsenzadeh Kebria; Rishi Puri; Saeid Nahavandi (ICIT, 2019)

Evaluating Architecture Impacts on Deep Imitation Learning Performance for Autonomous Driving. - 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 (ICIT, 2019)

A Knowledge Discovery in Motion Sickness: A Comprehensive Literature Review. - Afsaneh Koohestani; Darius Nahavandi; Houshyar Asadi; Parham M. Kebria; Abbas Khosravi; Roohallah Alizadehsani; Saeid Nahavandi (IEEE Access, 2019)

Machine learning-based coronary artery disease diagnosis: A comprehensive review. - Roohallah Alizadehsani; Moloud Abdar; Mohamad Roshanzamir; Abbas Khosravi; Parham M. Kebria; Fahime Khozeimeh; Saeid Nahavandi; Nizal Sarrafzadegan; U. Rajendra Acharya (Comput. Biol. Medicine, 2019)

IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment. - Moloud Abdar; Vivi Nur Wijayaningrum; Sadiq Hussain; Roohallah Alizadehsani; Pawel Plawiak; U. Rajendra Acharya; Vladimir Makarenkov (J. Medical Syst., 2019)

Material Recognition for Automated Progress Monitoring using Deep Learning Methods. - Navid Ghassemi; Hadi Mahami; Mohammad Tayarani Darbandi; Afshin Shoeibi; Sadiq Hussain; Farnad Nasirzadeh; Roohallah Alizadehsani; Darius Nahavandi; Abbas Khosravi; Saeid Nahavandi (CoRR, 2020)

Epileptic seizure detection using deep learning techniques: A Review. - 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; et al. (CoRR, 2020)

Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review. - Marjane Khodatars; Afshin Shoeibi; Navid Ghassemi; Mahboobeh Jafari; Ali Khadem; Delaram Sadeghi; Parisa Moridian; Sadiq Hussain; Roohallah Alizadehsani; Assef Zare; Abbas Khosravi; Saeid Nahavandi; et al. (CoRR, 2020)

Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review. - 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; et al. (CoRR, 2020)

Objective Evaluation of Deep Uncertainty Predictions for COVID-19 Detection. - Hamzeh Asgharnezhad; Afshar Shamsi Jokandan; Roohallah Alizadehsani; Abbas Khosravi; Saeid Nahavandi; Zahra Alizadeh Sani; Dipti Srinivasan (CoRR, 2020)

Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach. - 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 (Pattern Recognit. Lett., 2020)

Model uncertainty quantification for diagnosis of each main coronary artery stenosis. - Roohallah Alizadehsani; Mohamad Roshanzamir; Moloud Abdar; Adham Beykikhoshk; Mohammad Hossein Zangooei; Abbas Khosravi; Saeid Nahavandi; Ru-San Tan; U. Rajendra Acharya (Soft Comput., 2020)

Robust Adaptive Control Scheme for Teleoperation Systems With Delay and Uncertainties. - Parham M. Kebria; Abbas Khosravi; Saeid Nahavandi; Peng Shi 001; Roohallah Alizadehsani (IEEE Trans. Cybern., 2020)

Data Analytics of Electronic Health Records to Enhance Care of Coronary Artery Disease in Younger Women with Avoiding Possible Delay in Treatment. - Maryam Panahiazar; Andrew M. Bishara; Yorick Chern; Roohallah Alizadehsani; Omar S. Latif; Dexter Hadley; Ramin E. Beygui (MedInfo, 2021)

Automatic Diagnosis of Epileptic Seizures in EEG Signals Using Fractal Dimension Features and Convolutional Autoencoder Method. - Anis Malekzadeh; Assef Zare; Mahdi Yaghoobi; Roohallah Alizadehsani (Big Data Cogn. Comput., 2021)

Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images. - 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; et al. (Biomed. Signal Process. Control., 2021)

Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991-2020. - 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; et al. (Comput. Biol. Medicine, 2021)

Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review. - Marjane Khodatars; Afshin Shoeibi; Delaram Sadeghi; Navid Ghaasemi; Mahboobeh Jafari; Parisa Moridian; Ali Khadem; Roohallah Alizadehsani; Assef Zare; Yinan Kong; Abbas Khosravi; Saeid Nahavandi; et al. (Comput. Biol. Medicine, 2021)

Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review. - 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 (Comput. Biol. Medicine, 2021)

Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data. - 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; et al. (CoRR, 2021)

An Overview on Artificial Intelligence Techniques for Diagnosis of Schizophrenia Based on Magnetic Resonance Imaging Modalities: Methods, Challenges, and Future Works. - Delaram Sadeghi; Afshin Shoeibi; Navid Ghassemi; Parisa Moridian; Ali Khadem; Roohallah Alizadehsani; Mohammad Teshnehlab; Juan Manuel Górriz; Saeid Nahavandi (CoRR, 2021)

CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients. - 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; et al. (CoRR, 2021)

Time Series Forecasting of New Cases and New Deaths Rate for COVID-19 using Deep Learning Methods. - 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 (CoRR, 2021)

Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works. - Afshin Shoeibi; Navid Ghassemi; Marjane Khodatars; Mahboobeh Jafari; Parisa Moridian; Roohallah Alizadehsani; Ali Khadem; Yinan Kong; Assef Zare; Juan Manuel Górriz; Javier Ramírez 001; Maryam Panahiazar; et al. (CoRR, 2021)

A Survey of Applications of Artificial Intelligence for Myocardial Infarction Disease Diagnosis. - 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; et al. (CoRR, 2021)

GSVMA: A Genetic-Support Vector Machine-Anova method for CAD diagnosis based on Z-Alizadeh Sani dataset. - Javad Hassannataj Joloudari; Faezeh Azizi; Mohammad Ali Nematollahi; Roohallah Alizadehsani; Edris Hassannataj; Amir Mosavi (CoRR, 2021)

Automatic Diagnosis of Schizophrenia using EEG Signals and CNN-LSTM Models. - Afshin Shoeibi; Delaram Sadeghi; Parisa Moridian; Navid Ghassemi; Jónathan Heras; Roohallah Alizadehsani; Ali Khadem; Yinan Kong; Saeid Nahavandi; Juan Manuel Górriz (CoRR, 2021)

What happens in Face during a facial expression? Using data mining techniques to analyze facial expression motion vectors. - Mohamad Roshanzamir; Roohallah Alizadehsani; Mahdi Roshanzamir; Afshin Shoeibi; Juan Manuel Górriz; Abbas Khosravi; Saeid Nahavandi (CoRR, 2021)

Accurate Prediction Using Triangular Type-2 Fuzzy Linear Regression. - Assef Zare; Afshin Shoeibi; Narges Shafaei Bajestani; Parisa Moridian; Roohallah Alizadehsani; Majid Halaji; Abbas Khosravi (CoRR, 2021)

A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals. - Afshin Shoeibi; Navid Ghassemi; Roohallah Alizadehsani; Modjtaba Rouhani; Hossein Hosseini-Nejad; Abbas Khosravi; Maryam Panahiazar; Saeid Nahavandi (Expert Syst. Appl., 2021)

Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models. - Afshin Shoeibi; Delaram Sadeghi; Parisa Moridian; Navid Ghassemi; Jónathan Heras; Roohallah Alizadehsani; Ali Khadem; Yinan Kong; Saeid Nahavandi; Yu-Dong Zhang 001; Juan Manuel Górriz (Frontiers Neuroinformatics, 2021)

Medical Images Encryption Based on Adaptive-Robust Multi-Mode Synchronization of Chen Hyper-Chaotic Systems. - Ali Akbar Kekha Javan; Mahboobeh Jafari; Afshin Shoeibi; Assef Zare; Marjane Khodatars; Navid Ghassemi; Roohallah Alizadehsani; Juan Manuel Górriz (Sensors, 2021)

Design of Adaptive-Robust Controller for Multi-State Synchronization of Chaotic Systems with Unknown and Time-Varying Delays and Its Application in Secure Communication. - Ali Akbar Kekha Javan; Afshin Shoeibi; Assef Zare; Navid Hosseini Izadi; Mahboobeh Jafari; Roohallah Alizadehsani; Parisa Moridian; Amir Mosavi; U. Rajendra Acharya; Saeid Nahavandi (Sensors, 2021)

Epileptic Seizures Detection in EEG Signals Using Fusion Handcrafted and Deep Learning Features. - Anis Malekzadeh; Assef Zare; Mahdi Yaghoobi; Hamid Reza Kobravi; Roohallah Alizadehsani (Sensors, 2021)

Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data. - 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; et al. (ACM Trans. Multim. Comput. Commun. Appl., 2021)

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. - Mohammad Rasouli 005; Assef Zare; Majid Hallaji; Roohallah Alizadehsani (Axioms, 2022)

Analysis and Design of Robust Controller for Polynomial Fractional Differential Systems Using Sum of Squares. - Hassan Yaghoubi; Assef Zare; Roohallah Alizadehsani (Axioms, 2022)

Multi-State Synchronization of Chaotic Systems with Distributed Fractional Order Derivatives and Its Application in Secure Communications. - Ali Akbar Kekha Javan; Assef Zare; Roohallah Alizadehsani (Big Data Cogn. Comput., 2022)

Robust Multi-Mode Synchronization of Chaotic Fractional Order Systems in the Presence of Disturbance, Time Delay and Uncertainty with Application in Secure Communications. - Ali Akbar Kekha Javan; Assef Zare; Roohallah Alizadehsani; Saeed Balochian (Big Data Cogn. Comput., 2022)

Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies. - Afshin Shoeibi; Navid Ghassemi; Marjane Khodatars; Parisa Moridian; Roohallah Alizadehsani; Assef Zare; Abbas Khosravi; Abdulhamit Subasi; U. Rajendra Acharya; Juan Manuel Górriz (Biomed. Signal Process. Control., 2022)

An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works. - Delaram Sadeghi; Afshin Shoeibi; Navid Ghassemi; Parisa Moridian; Ali Khadem; Roohallah Alizadehsani; Mohammad Teshnehlab; Juan Manuel Górriz; Fahime Khozeimeh; Yu-Dong Zhang 001; Saeid Nahavandi; U. Rajendra Acharya (Comput. Biol. Medicine, 2022)

An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works. - Afshin Shoeibi; Parisa Moridian; Marjane Khodatars; Navid Ghassemi; Mahboobeh Jafari; Roohallah Alizadehsani; Yinan Kong; Juan Manuel Górriz; Javier Ramírez 001; Abbas Khosravi; Saeid Nahavandi; U. Rajendra Acharya (Comput. Biol. Medicine, 2022)

Application of artificial intelligence in wearable devices: Opportunities and challenges. - Darius Nahavandi; Roohallah Alizadehsani; Abbas Khosravi; U. Rajendra Acharya (Comput. Methods Programs Biomed., 2022)

FCM-DNN: diagnosing coronary artery disease by deep accuracy Fuzzy C-Means clustering model. - Javad Hassannataj Joloudari; Hamid Saadatfar; Mohammad GhasemiGol; Roohallah Alizadehsani; Zahra Alizadeh Sani; Fereshteh Hasanzadeh; Edris Hassannataj; Danial Sharifrazi; Zulkefli Mansor (CoRR, 2022)

Resource allocation optimization using artificial intelligence methods in various computing paradigms: A Review. - Javad Hassannataj Joloudari; Roohallah Alizadehsani; Issa Nodehi; Sanaz Mojrian; Fatemeh Fazl; Sahar Khanjani Shirkharkolaie; Hussain Mohammed Dipu Kabir; Ru-San Tan; U. Rajendra Acharya (CoRR, 2022)

Automatic Autism Spectrum Disorder Detection Using Artificial Intelligence Methods with MRI Neuroimaging: A Review. - 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; et al. (CoRR, 2022)

Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence. - Mahboobeh Jafari; Afshin Shoeibi; Navid Ghassemi; Jónathan Heras; Abbas Khosravi; Sai Ho Ling; Roohallah Alizadehsani; Amin Beheshti; Yu-Dong Zhang 001; Shui-Hua Wang; Juan Manuel Górriz; U. Rajendra Acharya; et al. (CoRR, 2022)

BERT-Deep CNN: State-of-the-Art for Sentiment Analysis of COVID-19 Tweets. - Javad Hassannataj Joloudari; Sadiq Hussain; Mohammad Ali Nematollahi; Rouhollah Bagheri; Fatemeh Fazl; Roohallah Alizadehsani; Reza Lashgari (CoRR, 2022)

Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries. - Roohallah Alizadehsani; Mohamad Roshanzamir; Moloud Abdar; Adham Beykikhoshk; Abbas Khosravi; Saeid Nahavandi; Pawel Plawiak; Ru-San Tan; U. Rajendra Acharya (Expert Syst. J. Knowl. Eng., 2022)

Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works. - Parisa Moridian; Afshin Shoeibi; Marjane Khodatars; Mahboobeh Jafari; Ram Bilas Pachori; Ali Khadem; Roohallah Alizadehsani; Sai Ho Ling (WIREs Data Mining Knowl. Discov., 2022)

Using Data Mining Techniques to Analyze Facial Expression Motion Vectors. - Mohamad Roshanzamir; Roohallah Alizadehsani; Mahdi Roshanzamir; Afshin Shoeibi; Juan Manuel Górriz; Abbas Khosravi; Saeid Nahavandi; U. Rajendra Acharya (DIS, 2023)

Improving PPG Signal Classification with Machine Learning: The Power of a Second Opinion. - Hamzeh Asgharnezhad; Afshar Shamsi Jokandan; Ivan Bakhshayeshi; Roohallah Alizadehsani; Somayyeh Chamaani; Hamid Alinejad-Rokny (DSP, 2023)

Revolutionizing Genomics with Reinforcement Learning Techniques. - Mohsen Karami; Roohallah Alizadehsani; Khadijeh Jahanian; Ahmadreza Argha; Iman Dehzangi; Hamid Alinejad-Rokny (CoRR, 2023)

A Brief Review of Explainable Artificial Intelligence in Healthcare. - 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; et al. (CoRR, 2023)

Uncertainty Aware Neural Network from Similarity and Sensitivity. - Hussain Mohammed Dipu Kabir; Subrota Kumar Mondal; Sadia Khanam; Abbas Khosravi; Shafin Rahman; Mohammad Reza Chalak Qazani; Roohallah Alizadehsani; Houshyar Asadi; Shadi Mohamed; Saeid Nahavandi; U. Rajendra Acharya (CoRR, 2023)

AI Framework for Early Diagnosis of Coronary Artery Disease: An Integration of Borderline SMOTE, Autoencoders and Convolutional Neural Networks Approach. - Elham Nasarian; Danial Sharifrazi; Saman Mohsenirad; Kwok Tsui; Roohallah Alizadehsani (CoRR, 2023)

Explainable Artificial Intelligence for Drug Discovery and Development - A Comprehensive Survey. - Roohallah Alizadehsani; Sadiq Hussain; Rene Ripardo Calixto; Victor Hugo C. de Albuquerque; Mohamad Roshanzamir; Mohamed Rahouti; Senthil Kumar Jagatheesaperumal (CoRR, 2023)

An Investigation of Hepatitis B Virus Genome using Markov Models. - Khadijeh Jahanian; Elnaz Shalbafian; Morteza Saberi; Roohallah Alizadehsani; Iman Dehzangi (CoRR, 2023)

Designing Interpretable ML System to Enhance Trustworthy AI in Healthcare: A Systematic Review of the Last Decade to A Proposed Robust Framework. - Elham Nasarian; Roohallah Alizadehsani; U. Rajendra Acharya; Kwok-Leung Tsui (CoRR, 2023)

Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis. - Danial Sharifrazi; Nouman Javed; Roohallah Alizadehsani; Prasad N. Paradkar; U. Rajendra Acharya; Asim Bhatti (CoRR, 2023)

Novel Frequency-Based Approach to Analyze the Stability of Polynomial Fractional Differential Equations. - Hassan Yaghoubi; Assef Zare; Mohammad Rasouli 005; Roohallah Alizadehsani (Axioms, 2023)

Swarm Intelligence in Internet of Medical Things: A Review. - 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 (Sensors, 2023)

Identification of Clinical Features Associated with Mortality in COVID-19 Patients. - 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; et al. (Oper. Res. Forum, 2023)

ALEC: Active learning with ensemble of classifiers for clinical diagnosis of coronary artery disease. - 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 (Comput. Biol. Medicine, 2023)

Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review. - 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; et al. (Inf. Fusion, 2023)

Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review. - Mahboobeh Jafari; Afshin Shoeibi; Marjane Khodatars; Navid Ghassemi; Parisa Moridian; Roohallah Alizadehsani; Abbas Khosravi; Sai Ho Ling; Niloufar Delfan; Yudong Zhang 001; Shui-Hua Wang; Juan Manuel Górriz; et al. (Comput. Biol. Medicine, 2023)

A novel uncertainty-aware deep learning technique with an application on skin cancer diagnosis. - Afshar Shamsi Jokandan; Hamzeh Asgharnezhad; Ziba Bouchani; Khadijeh Jahanian; Morteza Saberi; Xianzhi Wang 001; Imran Razzak; Roohallah Alizadehsani; Arash Mohammadi 001; Hamid Alinejad-Rokny (Neural Comput. Appl., 2023)

BERT-deep CNN: state of the art for sentiment analysis of COVID-19 tweets. - Javad Hassannataj Joloudari; Sadiq Hussain; Mohammad Ali Nematollahi; Rouhollah Bagheri; Fatemeh Fazl; Roohallah Alizadehsani; Reza Lashgari; Ashis Talukder (Soc. Netw. Anal. Min., 2023)

Enhancing Coronary Artery Disease Classification Using Optimized MLP Based on Genetic Algorithm. - Mohammad Hashemi; Seyedeh Somayeh Salehi Komamardakhi; Mohammad Maftoun; Omid Zare; Javad Hassannataj Joloudari; Mohammad Ali Nematollahi; Roohallah Alizadehsani; Pietro Sala; Juan Manuel Górriz (IWINAC, 2024)

Improving Prediction of Mortality in ICU via Fusion of SelectKBest with SMOTE Method and Extra Tree Classifier. - Mohammad Maftoun; Javad Hassannataj Joloudari; Omid Zare; Maryam Khademi; Alireza Atashi; Mohammad Ali Nematollahi; Roohallah Alizadehsani; Juan Manuel Górriz (IWINAC, 2024)

Enhancing Interpretability in Machine Learning: A Focus on Genetic Network Programming, Its Variants, and Applications. - Mohamad Roshanzamir; Roohallah Alizadehsani; Seyed Vahid Moravvej; Javad Hassannataj Joloudari; Hamid Alinejad-Rokny; Juan Manuel Górriz (IWINAC, 2024)

Early Diagnosis of Schizophrenia in EEG Signals Using One Dimensional Transformer Model. - Afshin Shoeibi; Mahboobeh Jafari; Delaram Sadeghi; Roohallah Alizadehsani; Hamid Alinejad-Rokny; Amin Beheshti; Juan Manuel Górriz (IWINAC, 2024)

Morning Anxiety Detection Through Smartphone-Based Photoplethysmography Signals Analysis Using Machine Learning Methods. - Masoud Sistaninezhad; Ali Jafarizadeh; Saman Rajebi; Siamak Pedrammehr; Roohallah Alizadehsani; Juan Manuel Górriz (IWINAC, 2024)

NeuroHAR: A Neuroevolutionary Method for Human Activity Recognition (HAR) for Health Monitoring. - Furqan Alam; Pawel Plawiak; Ahmed Almaghthawi; Mohammad Reza Chalak Qazani; Sanat Mohanty; Roohallah Alizadehsani (IEEE Access, 2024)

Explainable Artificial Intelligence for Drug Discovery and Development: A Comprehensive Survey. - Roohallah Alizadehsani; Solomon Sunday Oyelere; Sadiq Hussain; Senthil Kumar Jagatheesaperumal; Rene Ripardo Calixto; Mohamed Rahouti; Mohamad Roshanzamir; Victor Hugo C. de Albuquerque (IEEE Access, 2024)

A Multi-Channel Advertising Budget Allocation Using Reinforcement Learning and an Improved Differential Evolution Algorithm. - Mengfan Li; Jian Zhang; Roohallah Alizadehsani; Pawel Plawiak (IEEE Access, 2024)

Impact of Artificial Intelligence in Nursing for Geriatric Clinical Care for Chronic Diseases: A Systematic Literature Review. - Mahdieh Poodineh Moghadam; Zabih Allah Moghadam; Mohammad Reza Chalak Qazani; Pawel Plawiak; Roohallah Alizadehsani (IEEE Access, 2024)

Stock Market Prediction With Transductive Long Short-Term Memory and Social Media Sentiment Analysis. - Ali Peivandizadeh; Sima Hatami; Amirhossein Nakhjavani; Lida Khoshsima; Mohammad Reza Chalak Qazani; Muhammad Haleem; Roohallah Alizadehsani (IEEE Access, 2024)

Specific Heat Capacity Extraction of Soybean Oil/MXene Nanofluids Using Optimized Long Short-Term Memory. - Mohammad Reza Chalak Qazani; Navid Aslfattahi; Vladimir V. Kulish; Houshyar Asadi; Michal Schmirler; Muhammad Zakarya; Roohallah Alizadehsani; Muhammad Haleem; K. Kadirgama (IEEE Access, 2024)

Comparison Between State-of-the-Art Color Local Binary Pattern-Based Descriptors for Image Retrieval. - Mahmood Sotoodeh; Ali Kohan; Mohamad Roshanzamir; Senthil Kumar Jagatheesaperumal; Mohammad Reza Chalak Qazani; Javad Hassannataj Joloudari; Roohallah Alizadehsani; Pawel Plawiak (IEEE Access, 2024)

A Reinforcement Learning Approach Combined With Scope Loss Function for Crime Prediction on Twitter (X). - Liu Yang; Guofan Jiang; Yixin Zhang; Wei Qianze; Zhang Jian; Roohallah Alizadehsani; Pawel Plawiak (IEEE Access, 2024)

Deep learning in spatially resolved transcriptomics: a comprehensive technical view. - Roxana Zahedi; Reza Ghamsari; Ahmadreza Argha; Callum Macphillamy; Amin Beheshti; Roohallah Alizadehsani; Nigel H. Lovell; Mohammad Lotfollahi; Hamid Alinejad-Rokny (Briefings Bioinform., 2024)

Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis: A machine learning approach. - Danial Sharifrazi; Nouman Javed; Roohallah Alizadehsani; Prasad N. Paradkar; U. Rajendra Acharya; Asim Bhatti (Biomed. Signal Process. Control., 2024)

GAN-MD: A myocarditis detection using multi-channel convolutional neural networks and generative adversarial network-based data augmentation. - Hengame Ahmadi Golilarz; Alireza Azadbar; Roohallah Alizadehsani; Juan Manuel Górriz (CAAI Trans. Intell. Technol., 2024)

A novel myocarditis detection combining deep reinforcement learning and an improved differential evolution algorithm. - Jing Yang; Touseef Sadiq; Jiale Xiong; Muhammad Awais; Uzair Aslam Bhatti; Roohallah Alizadehsani; Juan Manuel Górriz (CAAI Trans. Intell. Technol., 2024)

A review of Explainable Artificial Intelligence in healthcare. - 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; et al. (Comput. Electr. Eng., 2024)

Progress and trends in neurological disorders research based on deep learning. - 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 (Comput. Medical Imaging Graph., 2024)

Application of artificial intelligence techniques for non-alcoholic fatty liver disease diagnosis: A systematic review (2005-2023). - Hamed Zamanian; Ahmad Shalbaf; M. R. Zali; A. R. Khalaj; P. Dehghan; M. Tabesh; B. Hatami; Roohallah Alizadehsani; Ru-San Tan; U. Rajendra Acharya (Comput. Methods Programs Biomed., 2024)

Artificial Intelligence and Diabetes Mellitus: An Inside Look Through the Retina. - 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 (CoRR, 2024)

Advancements in Radiomics and Artificial Intelligence for Thyroid Cancer Diagnosis. - Milad Yousefi; Shadi Farabi Maleki; Ali Jafarizadeh; Mahya Ahmadpour Youshanlui; Aida Jafari; Siamak Pedrammehr; Roohallah Alizadehsani; Ryszard Tadeusiewicz; Pawel Plawiak (CoRR, 2024)

Complex Emotion Recognition System using basic emotions via Facial Expression, EEG, and ECG Signals: a review. - Javad Hassannataj Joloudari; Mohammad Maftoun; Bahareh Nakisa; Roohallah Alizadehsani; Meisam Yadollahzadeh Tabari (CoRR, 2024)

Functional Classification of Spiking Signal Data Using Artificial Intelligence Techniques: A Review. - Danial Sharifrazi; Nouman Javed; Javad Hassannataj Joloudari; Roohallah Alizadehsani; Prasad N. Paradkar; Ru-San Tan; U. Rajendra Acharya; Asim Bhatti (CoRR, 2024)

Advancements in Machine Learning and Deep Learning for Early Detection and Management of Mental Health Disorder. - Kamala Devi Kannan; Senthil Kumar Jagatheesaperumal; Rajesh N. V. P. S. Kandala; Mojtaba Lotfaliany; Roohallah Alizadehsani; Mohammadreza Mohebbi (CoRR, 2024)

Enhancing Multiagent Genetic Network Programming Performance Using Search Space Reduction. - Ali Kohan; Mohamad Roshanzamir; Roohallah Alizadehsani (CoRR, 2024)

Brain Ageing Prediction using Isolation Forest Technique and Residual Neural Network (ResNet). - Saadat Behzadi; Danial Sharifrazi; Roohallah Alizadehsani; Mojtaba Lotfaliany; Mohammadreza Mohebbi (CoRR, 2024)

Automated detection and forecasting of COVID-19 using deep learning techniques: A review. - 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; et al. (Neurocomputing, 2024)

Designing interpretable ML system to enhance trust in healthcare: A systematic review to proposed responsible clinician-AI-collaboration framework. - Elham Nasarian; Roohallah Alizadehsani; U. Rajendra Acharya; Kwok-Leung Tsui (Inf. Fusion, 2024)

Artificial intelligence in assessing cardiovascular diseases and risk factors via retinal fundus images: A review of the last decade. - Mirsaeed Abdollahi; Ali Jafarizadeh; Amirhosein Ghafouri Asbagh; Navid Sobhi; Keysan Pourmoghtader; Siamak Pedrammehr; Houshyar Asadi; Ru-San Tan; Roohallah Alizadehsani; U. Rajendra Acharya (WIREs Data. Mining. Knowl. Discov., 2024)

An adaptive ensemble deep learning framework for reliable detection of pandemic patients. - Muhammad Shahid Iqbal; Rizwan Ali Naqvi; Roohallah Alizadehsani; Sadiq Hussain; Syed Atif Moqurrab; Seung-Won Lee (Comput. Biol. Medicine, 2024)

Efficient reinforcement learning-based method for plagiarism detection boosted by a population-based algorithm for pretraining weights. - Jiale Xiong; Jing Yang 054; Lei Yan; Muhammad Awais; Abdullah Ayub Khan; Roohallah Alizadehsani; U. Rajendra Acharya (Expert Syst. Appl., 2024)

Machine learning meets advanced robotic manipulation. - Saeid Nahavandi; Roohallah Alizadehsani; Darius Nahavandi; Chee Peng Lim; Kevin Kelly; Fernando Bello (Inf. Fusion, 2024)

Deep learning for personalized health monitoring and prediction: A review. - Robertas Damasevicius; Senthil Kumar Jagatheesaperumal; Rajesh N. V. P. S. Kandala; Sadiq Hussain; Roohallah Alizadehsani; Juan Manuel Górriz (Comput. Intell., 2024)

Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020). - 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; et al. (Ann. Oper. Res., 2024)

Resource allocation problem and artificial intelligence: the state-of-the-art review (2009-2023) and open research challenges. - 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 (Multim. Tools Appl., 2024)

Designing a Secure Mechanism for Image Transferring System Based on Uncertain Fractional Order Chaotic Systems and NLFPID Sliding Mode Controller. - Mohammad Rasouli 005; Assef Zare; Hassan Yaghoubi; Roohallah Alizadehsani (Axioms, 2024)

Uncertainty aware neural network from similarity and sensitivity. - 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 (Appl. Soft Comput., 2024)

Corrections to "Impact of Artificial Intelligence in Nursing for Geriatric Clinical Care for Chronic Diseases: A Systematic Literature Review". - Mahdieh Poodineh Moghadam; Zabih Allah Moghadam; Mohammad Reza Chalak Qazani; Pawel Plawiak; Roohallah Alizadehsani (IEEE Access, 2025)

A Generative Adversarial Network-Based Extractive Text Summarization Using Transductive and Reinforcement Learning. - Jing Yang 054; Haoshen Qin; Yiping Sun; Hao Wang 220; Abdullah Ayub Khan; Lip Yee Por; Roohallah Alizadehsani; Pawel Plawiak (IEEE Access, 2025)

Fatigue monitoring using wearables and AI: Trends, challenges, and future opportunities. - Kourosh Kakhi; Senthil Kumar Jagatheesaperumal; Abbas Khosravi; Roohallah Alizadehsani; U. Rajendra Acharya (Comput. Biol. Medicine, 2025)

BAIoT-EMS: Consortium network for small-medium enterprises management system with blockchain and augmented intelligence of things. - Abdullah Ayub Khan; Jing Yang 054; Asif Ali Laghari; Abdullah M. Baqasah; Roobaea Alroobaea; Chin Soon Ku; Roohallah Alizadehsani; U. Rajendra Acharya; Lip Yee Por (Eng. Appl. Artif. Intell., 2025)

A dual-method approach using autoencoders and transductive learning for remaining useful life estimation. - Jing Yang 054; Nika Anoosha Boroojeni; Mehran Kazemi Chahardeh; Lip Yee Por; Roohallah Alizadehsani; U. Rajendra Acharya (Eng. Appl. Artif. Intell., 2025)

SC3D: Semantic-guided and Class-adaptive cross-domain fusion for 3D object detection in autonomous vehicles. - Husnain Mushtaq; Xiaoheng Deng; Roohallah Alizadehsani; Muhammad Shahid Iqbal; Tamoor Khan; Adeel Ahmed Abbasi (Expert Syst. Appl., 2025)

Neurostressology: A systematic review of EEG-based automated mental stress perspectives. - Sayantan Acharya; Abbas Khosravi; Douglas Creighton; Roohallah Alizadehsani; U. Rajendra Acharya (Inf. Fusion, 2025)

An off-policy deep reinforcement learning-based active learning for crime scene investigation image classification. - Yixin Zhang; Yang Liu; Guofan Jiang; Yuchen Yang; Jian Zhang; Jing Yang 054; Roohallah Alizadehsani; Ryszard Tadeusiewicz; Pawel Plawiak (Inf. Sci., 2025)

Application of Explainable Artificial Intelligence (XAI) Techniques in Patients With Intracranial Hemorrhage: A Systematic Review. - Ali Kohan; Amir Zahedi; Roohallah Alizadehsani; Ru-San Tan; U. Rajendra Acharya (WIREs Data. Mining. Knowl. Discov., 2025)

A machine learning approach for Premature Coronary Artery Disease Diagnosis according to Different Ethnicities in Iran. - Mohamad Roshanzamir; Roohallah Alizadehsani; Ehsan Zarepur; Noushin Mohammadifard; Fatemeh Nouri; Mahdi Roshanzamir; Alireza Khosravi; Fereidoon Nouhi; Nizal Sarrafzadegan (CoRR, 2025)

Enhancing Monte Carlo Dropout Performance for Uncertainty Quantification. - Hamzeh Asgharnezhad; Afshar Shamsi; Roohallah Alizadehsani; Arash Mohammadi 001; Hamid Alinejad-Rokny (CoRR, 2025)

Current and future roles of artificial intelligence in retinopathy of prematurity. - 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 (Artif. Intell. Rev., 2025)

Uncertainty-Aware Deep Learning for Automated Skin Cancer Classification: A Comprehensive Evaluation. - Hamzeh Asgharnezhad; Pegah Tabarisaadi; Abbas Khosravi; Roohallah Alizadehsani; U. Rajendra Acharya (CoRR, 2025)

A Lightweight and Robust Framework for Real-Time Colorectal Polyp Detection Using LOF-Based Preprocessing and YOLO-v11n. - Saadat Behzadi; Danial Sharifrazi; Bita Mesbahzadeh; Javad Hassannataj Joloudari; Roohallah Alizadehsani (CoRR, 2025)

A Comprehensive Review on Autonomous Navigation. - Saeid Nahavandi; Roohallah Alizadehsani; Darius Nahavandi; Shady M. K. Mohamed; Navid Mohajer; Mohammad Rokonuzzaman; Ibrahim Hossain (ACM Comput. Surv., 2025)