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ORCIDZahra Alizadeh Sani
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- affiliation: Tehran University of Medical Science, Iran
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Journal Articles
- 2024
[j12]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:
Automated detection and forecasting of COVID-19 using deep learning techniques: A review. Neurocomputing 577: 127317 (2024)- 2023
- [j11]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:
Identification of Clinical Features Associated with Mortality in COVID-19 Patients. Oper. Res. Forum 4(1) (2023) - 2021
- [j10]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:
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. 68: 102622 (2021) - [j9]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:
Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data. ACM Trans. Multim. Comput. Commun. Appl. 17(3s): 104:1-104:24 (2021) - 2020
- [j8]Samrand Sharifi, Hamid Behnam, Zahra Alizadeh Sani:
Characterisation of the effects of age and body mass index on the ultrasound carotid artery wall using RF time series. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 8(2): 134-142 (2020) - 2019
- [j7]Samrand Sharifi, Hamid Behnam, Zahra Alizadeh Sani:
A new technique for the measurement and assessment of carotid artery wall vibrations using ultrasound RF echoes. Turkish J. Electr. Eng. Comput. Sci. 27(6): 4340-4353 (2019) - 2016
- [j6]Parisa Gifani, Hamid Behnam, Farzan Haddadi, Zahra Alizadeh Sani, Peyman Gifani:
Echocardiography noise reduction using sparse representation. Comput. Electr. Eng. 53: 301-318 (2016) - 2015
- [j5]Zahra Alizadeh Sani, Ahmad Shalbaf, Hamid Behnam, Reza Shalbaf:
Automatic Computation of Left Ventricular Volume Changes Over a Cardiac Cycle from Echocardiography Images by Nonlinear Dimensionality Reduction. J. Digit. Imaging 28(1): 91-98 (2015) - 2013
- [j4]Roohallah Alizadehsani, Jafar Habibi, Mohammad Javad Hosseini, Hoda Mashayekhi, Reihane Boghrati, Asma Ghandeharioun, Behdad Bahadorian, Zahra Alizadeh Sani:
A data mining approach for diagnosis of coronary artery disease. Comput. Methods Programs Biomed. 111(1): 52-61 (2013) - [j3]Ahmad Shalbaf, Hamid Behnam, Zahra Alizade-Sani, Maryam Shojaifard:
Automatic Classification of Left Ventricular Regional Wall Motion Abnormalities in Echocardiography Images Using Nonrigid Image Registration. J. Digit. Imaging 26(5): 909-919 (2013) - 2012
- [j2]Ahmad Shalbaf, Hamid Behnam, Zahra Alizade-Sani, Maryam Shojaifard:
Left ventricle wall motion quantification from echocardiographic images by non-rigid image registration. Int. J. Comput. Assist. Radiol. Surg. 7(5): 769-783 (2012) - [j1]Roohallah Alizadehsani, Mohammad Javad Hosseini, Reihane Boghrati, Asma Ghandeharioun, Fahime Khozeimeh, Zahra Alizadeh Sani:
Exerting Cost-Sensitive and Feature Creation Algorithms for Coronary Artery Disease Diagnosis. Int. J. Knowl. Discov. Bioinform. 3(1): 59-79 (2012)
Conference and Workshop Papers
- 2012
- [c1]Roohallah Alizadehsani, Mohammad Javad Hosseini, Zahra Alizadeh Sani, Asma Ghandeharioun, Reihane Boghrati:
Diagnosis of Coronary Artery Disease Using Cost-Sensitive Algorithms. ICDM Workshops 2012: 9-16
Data and Artifacts
- 2017
- [d2]Roohallah Alizadehsani, Mohamad Roshanzamir, Zahra Alizadeh Sani:
Z-Alizadeh Sani. UCI Machine Learning Repository, 2017
- [d1]Roohallah Alizadehsani, Mohamad Roshanzamir, Zahra Alizadeh Sani:
extention of Z-Alizadeh sani dataset. UCI Machine Learning Repository, 2017
Informal and Other Publications
- 2022
- [i6]Javad Hassannataj Joloudari, Hamid Saadatfar, Mohammad GhasemiGol, Roohallah Alizadehsani, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Edris Hassannataj, Danial Sharifrazi, Zulkefli Mansor:
FCM-DNN: diagnosing coronary artery disease by deep accuracy Fuzzy C-Means clustering model. CoRR abs/2202.04645 (2022) - 2021
- [i5]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:
Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data. CoRR abs/2102.06388 (2021) - [i4]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:
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images. CoRR abs/2102.06883 (2021) - [i3]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:
CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients. CoRR abs/2104.08954 (2021) - 2020
- [i2]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:
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review. CoRR abs/2007.10785 (2020) - [i1]Hamzeh Asgharnezhad, Afshar Shamsi Jokandan, Roohallah Alizadehsani, Abbas Khosravi, Saeid Nahavandi, Zahra Alizadeh Sani, Dipti Srinivasan:
Objective Evaluation of Deep Uncertainty Predictions for COVID-19 Detection. CoRR abs/2012.11840 (2020)
Coauthor Index
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