| 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 | 465 | 2020 |
| 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 | 242* | 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 | 115 | 2018 |
| 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 | 85 | 2018 |
| 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 | 66 | 2020 |
| 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 | 54 | 2018 |
| 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 | 41 | 2020 |
| 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 | 35 | 2019 |
| 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 | 33 | 2012 |
| 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 | 19 | 2018 |
| 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 | 19 | 2018 |
| 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 | 19 | 2012 |
| 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 | 18 | 2018 |
| COVID-Classifier: An automated machine learning model to assist in the diagnosis of COVID-19 infection in chest x-ray images. medRxiv 2020 AZ Khuzani, M Heidari, SA Shariati Europe PMC free article, 0 | 17 | |
| DeepSea is an efficient deep-learning model for single-cell segmentation and tracking in time-lapse microscopy A Zargari, GA Lodewijk, N Mashhadi, N Cook, CW Neudorf, ... Cell Reports Methods 3 (6), 2023 | 16 | 2023 |
| 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 | 14 | 2011 |
| 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 | 13 | 2010 |
| 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 | 11 | 2020 |
| 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 | 11 | 2020 |
| Enhanced cell segmentation with limited training datasets using cycle generative adversarial networks A Zargari, BR Topacio, N Mashhadi, SA Shariati Iscience 27 (5), 2024 | 10 | 2024 |
