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

Left ventricle wall motion quantification from echocardiographic images by non-rigid image registration. - Ahmad Shalbaf; Hamid Behnam; Zahra Alizade-Sani; Maryam Shojaifard (Int. J. Comput. Assist. Radiol. Surg., 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)

Automatic Classification of Left Ventricular Regional Wall Motion Abnormalities in Echocardiography Images Using Nonrigid Image Registration. - Ahmad Shalbaf; Hamid Behnam; Zahra Alizade-Sani; Maryam Shojaifard (J. Digit. Imaging, 2013)

Automatic Computation of Left Ventricular Volume Changes Over a Cardiac Cycle from Echocardiography Images by Nonlinear Dimensionality Reduction. - Zahra Alizadeh Sani; Ahmad Shalbaf; Hamid Behnam; Reza Shalbaf (J. Digit. Imaging, 2015)

Echocardiography noise reduction using sparse representation. - Parisa Gifani; Hamid Behnam; Farzan Haddadi; Zahra Alizadeh Sani; Peyman Gifani (Comput. Electr. Eng., 2016)

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)

A new technique for the measurement and assessment of carotid artery wall vibrations using ultrasound RF echoes. - Samrand Sharifi; Hamid Behnam; Zahra Alizadeh Sani (Turkish J. Electr. Eng. Comput. Sci., 2019)

Characterisation of the effects of age and body mass index on the ultrasound carotid artery wall using RF time series. - Samrand Sharifi; Hamid Behnam; Zahra Alizadeh Sani (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 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)

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)

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)

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)

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)

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)