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)

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)

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)

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)

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)

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)

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)

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)

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)

Aleatory-aware deep uncertainty quantification for transfer learning. - Hussain Mohammed Dipu Kabir; Sadia Khanam; Fahime Khozeimeh; Abbas Khosravi; Subrota Kumar Mondal; Saeid Nahavandi; U. Rajendra Acharya (Comput. Biol. Medicine, 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)

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)

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)