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Abolfazl Zargari
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Year
Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms
M Heidari, S Mirniaharikandehei, A Zargari
International Journal of Medical Informatics, 104284, 2020
3972020
COVID-Classifier: An automated machine learning model to assist in the diagnosis of COVID-19 infection in chest x-ray images
A Zargari, M Heidari, A Shariati.
medRxiv, 2020
225*2020
Prediction of breast cancer risk using a machine learning approach embedded with a locality preserving projection algorithm
M Heidari, A Zargari
Physics in Medicine & Biology 63 (3), 035020, 2018
1082018
Classification of Tumor Epithelium and Stroma by Exploiting Image Features Learned by Deep Convolutional Neural Networks
Y Du, A Zargari
Annals of Biomedical Engineering, 2018
782018
Prediction of chemotherapy response in ovarian cancer patients using a new clustered quantitative image marker
A Zargari, Y Du, M Heidari.
Physics in Medicine and Biology, 2018
482018
Low-cost implementation of bilinear and bicubic image interpolation for real-time image super-resolution
D Khaledyan, A Amirany, K Jafari, MH Moaiyeri, AZ Khuzani, N Mashhadi
2020 IEEE Global Humanitarian Technology Conference (GHTC), 1-5, 2020
412020
Applying a new quantitative image analysis scheme based on global mammographic features to assist diagnosis of breast cancer
A Zargari, X Chen, AB Hollingsworth, H Liu, B Zheng, Y Qiu
Computer methods and programs in biomedicine 179, 104995, 2019
352019
A new fuzzy sliding mode controller for load frequency control of large hydropower plant using particle swarm optimization algorithm and Kalman estimator
R Hooshmand, M Ataei, A Zargari
European Transactions on Electrical Power 22 (6), 812-830, 2012
322012
Deep learning denoising for EOG artifacts removal from EEG signals
N Mashhadi, AZ Khuzani, M Heidari, D Khaledyan
2020 IEEE Global Humanitarian Technology Conference (GHTC), 1-6, 2020
302020
Applying a machine learning model using a locally preserving projection based feature regeneration algorithm to predict breast cancer risk
M Heidari, A Zargari
Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and …, 2018
182018
Improving performance of breast cancer risk prediction using a new CAD-based region segmentation scheme
M Heidari, A Zargari
Medical Imaging 2018: Computer-Aided Diagnosis 10575, 105750P, 2018
182018
A new control system design for a small hydro-power plant based on particle swarm optimization-fuzzy sliding mode controller with Kalman estimator
A Zargari, R Hooshmand, M Ataei
Transactions of the Institute of Measurement and Control 34 (4), 388-400, 2012
182012
A performance comparison of low-and high-level features learned by deep convolutional neural networks in epithelium and stroma classification
Y Du, R Zhang, A Zargari
Medical Imaging 2018: Digital Pathology 10581, 1058116, 2018
152018
Improvement in Computation of A Vo Flicker Severity Index Using Intelligent Methods
P Moallem, A Zargari, A Kiyoumarsi
Journal of Power Electronics 11 (2), 2011
142011
Studying and improvement of operation of IEC flickermeter
A Zargari, P Moallem, A Kiyoumarsi
IEEE 2010 18th Iranian Conference on Electrical Engineering, 925-931, 2010
122010
Detecting COVID-19 infected pneumonia from x-ray images using a deep learning model with image preprocessing algorithm
M Heidari, S Mirniaharikandehei, AZ Khuzani, G Danala, Y Qiu, B Zheng
Medical Imaging 2021: Computer-Aided Diagnosis 11597, 202-209, 2021
82021
Image quality enhancement in wireless capsule endoscopy with adaptive fraction gamma transformation and unsharp masking filter
R Ezatian, D Khaledyan, K Jafari, M Heidari, AZ Khuzani, N Mashhadi
2020 IEEE Global Humanitarian Technology Conference (GHTC), 1-7, 2020
82020
An approach to human iris recognition using quantitative analysis of image features and machine learning
AZ Khuzani, N Mashhadi, M Heidari, D Khaledyan
2020 IEEE Global Humanitarian Technology Conference (GHTC), 1-6, 2020
82020
An approach for data mining of power quality indices based on fast-ICA algorithm
P Moallem, A Zargari, A Kiyoumarsi
International Journal of Power and Energy Systems 34 (3), 91-98, 2014
72014
Applying a new feature fusion method to classify breast lesions
N Mashhadi, AZ Khuzani, M Heidari, D Khaledyan, S Teymoori
Medical Imaging 2021: Computer-Aided Diagnosis 11597, 242-246, 2021
62021
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