Zahra Alizadeh Sani

发表

A New Method for Pseudo-increasing Frame Rates of Echocardiography Images Using Manifold Learning

Hamid Behnam, Parisa Gifani, Zahra Alizadeh Sani, 2011, Journal of medical signals and sensors.

A data mining approach for diagnosis of coronary artery disease

Jafar Habibi, Roohallah Alizadehsani, Hoda Mashayekhi, 2013, Comput. Methods Programs Biomed..

CNN-KCL: Automatic myocarditis diagnosis using convolutional neural network combined with k-means clustering.

Roohallah Alizadehsani, Hamid Alinejad-Rokny, Shahab Shamshirband, 2020, Mathematical biosciences and engineering : MBE.

Automatic Computation of Left Ventricular Volume Changes Over a Cardiac Cycle from Echocardiography Images by Nonlinear Dimensionality Reduction

Hamid Behnam, Reza Shalbaf, Ahmad Shalbaf, 2015, Journal of Digital Imaging.

Diagnosis of Coronary Artery Disease Using Cost-Sensitive Algorithms

Roohallah Alizadehsani, Zahra Alizadeh Sani, Reihane Boghrati, 2012, 2012 IEEE 12th International Conference on Data Mining Workshops.

Exerting Cost-Sensitive and Feature Creation Algorithms for Coronary Artery Disease Diagnosis

Roohallah Alizadehsani, Zahra Alizadeh Sani, Reihane Boghrati, 2012, Int. J. Knowl. Discov. Bioinform..

Echocardiography noise reduction using sparse representation

Hamid Behnam, Farzan Haddadi, Parisa Gifani, 2016, Comput. Electr. Eng..

A Comparative Study on Despeckling Techniques in Intravascular Ultrasound Images

Zahra Alizadeh Sani, Sima Navabian, Fereshteh Yousefi Rizi, 2019 .

Characterisation of the effects of age and body mass index on the ultrasound carotid artery wall using RF time series

Hamid Behnam, Zahra Alizadeh Sani, Samrand Sharifi, 2020, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Objective evaluation of deep uncertainty predictions for COVID-19 detection pdf

Saeid Nahavandi, Roohallah Alizadehsani, Abbas Khosravi, 2020, Scientific Reports.

Temporal Super Resolution Enhancement of Echocardiographic Images Based on Sparse Representation

Hamid Behnam, Farzan Haddadi, Parisa Gifani, 2016, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

A Color-Encoded Map to Facilitate the Identification of Abnormal Segments of the Left Ventricle by Novice Examiners

Hamid Behnam, Parisa Gifani, Zahra Alizadeh Sani, 2019, 2019 27th Iranian Conference on Electrical Engineering (ICEE).

Frame Rate Up-Conversion in Echocardiography Images, Using Manifold-Learning and Image Registration

Hamid Behnam, Zahra Alizadeh Sani, Asieh Daneshi, 2018 .

Echocardiography frames quantification by empirical mode decomposition method

Hamid Behnam, Emad Fatemizadeh, Zahra Alizadeh Sani, 2014, 2014 21th Iranian Conference on Biomedical Engineering (ICBME).

Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review pdf

U. Rajendra Acharya, Navid Ghassemi, Afshin Shoeibi, 2020, ArXiv.

Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images

Saeid Nahavandi, Afshin Shoeibi, Roohallah Alizadehsani, 2021, Biomedical Signal Processing and Control.

Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients

Saeid Nahavandi, Afshin Shoeibi, Roohallah Alizadehsani, 2021, Scientific Reports.

CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients pdf

Saeid Nahavandi, Afshin Shoeibi, Roohallah Alizadehsani, 2021, ArXiv.

Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data

Saeid Nahavandi, Afshin Shoeibi, Roohallah Alizadehsani, 2021, ACM Trans. Multim. Comput. Commun. Appl..

Diagnosis of Coronary Artery Disease Using Data Mining Based on Lab Data and Echo Features

Jafar Habibi, Roohallah Alizadehsani, Hoda Mashayekhi, 2012, Journal of Medical and Bioengineering.

Identification of Clinical Features Associated with Mortality in COVID-19 Patients

Saeid Nahavandi, Afshin Shoeibi, Roohallah Alizadehsani, 2021, Operations Research Forum.

Risk factors prediction, clinical outcomes, and mortality in COVID‐19 patients

Saeid Nahavandi, Afshin Shoeibi, Roohallah Alizadehsani, 2020, Journal of medical virology.

Diagnosis of Coronary Artery Disease Using Data Mining Techniques Based on Symptoms and ECG Features

Jafar Habibi, Roohallah Alizadehsani, Zahra Alizadeh Sani, 2012 .

Noise reduction in echocardigraphy images using Contourlet transform

Hamid Behnam, Ahmad Shalbaf, Zahra Alizadeh Sani, 2011, Middle East Conference on Biomedical Engineering.