Zahra Alizadeh Sani

According to our database, Zahra Alizadeh Sani authored at least 20 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Saeid Nahavandi, U. Rajendra Acharya, Juan Manuel Górriz

Neurocomputing, 2024

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, Javad Hassannataj Joloudari, Reza Lashgari, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam

Oper. Res. Forum, March, 2023

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

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, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya

ACM Trans. Multim. Comput. Commun. Appl., 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, Sheikh Mohammed Shariful Islam

CoRR, 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, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya

CoRR, 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, Maryam Panahiazar, Assef Zare, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya

Biomed. Signal Process. Control., 2021

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

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, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Peng Shi

CoRR, 2020

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

2019

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

2017

extention of Z-Alizadeh sani dataset.

Roohallah Alizadehsani, Mohamad Roshanzamir, Zahra Alizadeh Sani

Dataset, November, 2017

Z-Alizadeh Sani.

Roohallah Alizadehsani, Mohamad Roshanzamir, Zahra Alizadeh Sani

Dataset, November, 2017

2016

Echocardiography noise reduction using sparse representation.

Parisa Gifani, Hamid Behnam, Farzan Haddadi, Zahra Alizadeh Sani, Peyman Gifani

Comput. Electr. Eng., 2016

2015

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

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

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

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

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

Diagnosis of Coronary Artery Disease Using Cost-Sensitive Algorithms.

Roohallah Alizadehsani, Mohammad Javad Hosseini, Zahra Alizadeh Sani, Asma Ghandeharioun, Reihane Boghrati

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012