| Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms M Heidari, S Mirniaharikandehei, AZ Khuzani, G Danala, Y Qiu, B Zheng International journal of medical informatics 144, 104284, 2020 | 518 | 2020 |
| COVID-Classifier: An automated machine learning model to assist in the diagnosis of COVID-19 infection in chest x-ray images A Zargari Khuzani, M Heidari, SA Shariati Scientific Reports 11 (1), 9887, 2021 | 256 | 2021 |
| Prediction of breast cancer risk using a machine learning approach embedded with a locality preserving projection algorithm M Heidari, AZ Khuzani, AB Hollingsworth, G Danala, ... Physics in Medicine & Biology 63 (3), 035020, 2018 | 117 | 2018 |
| Classification of breast masses using a computer-aided diagnosis scheme of contrast enhanced digital mammograms G Danala, B Patel, F Aghaei, M Heidari, J Li, T Wu, B Zheng Annals of biomedical engineering 46 (9), 1419-1431, 2018 | 92 | 2018 |
| Development and assessment of a new global mammographic image feature analysis scheme to predict likelihood of malignant cases M Heidari, S Mirniaharikandehei, W Liu, AB Hollingsworth, H Liu, B Zheng IEEE transactions on medical imaging 39 (4), 1235-1244, 2019 | 61 | 2019 |
| Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images S Mirniaharikandehei, M Heidari, G Danala, S Lakshmivarahan, B Zheng Computer methods and programs in biomedicine 200, 105937, 2021 | 60 | 2021 |
| Prediction of chemotherapy response in ovarian cancer patients using a new clustered quantitative image marker A Zargari, Y Du, M Heidari, TC Thai, CC Gunderson, K Moore, RS Mannel, ... Physics in Medicine & Biology 63 (15), 155020, 2018 | 55 | 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 | 47 | 2020 |
| Applying a random projection algorithm to optimize machine learning model for breast lesion classification M Heidari, S Lakshmivarahan, S Mirniaharikandehei, G Danala, ... IEEE Transactions on Biomedical Engineering 68 (9), 2764-2775, 2021 | 41 | 2021 |
| Applying a new computer-aided detection scheme generated imaging marker to predict short-term breast cancer risk S Mirniaharikandehei, AB Hollingsworth, B Patel, M Heidari, H Liu, ... Physics in Medicine & Biology 63 (10), 105005, 2018 | 31 | 2018 |
| Developing a quantitative ultrasound image feature analysis scheme to assess tumor treatment efficacy using a mouse model S Mirniaharikandehei, J VanOsdol, M Heidari, G Danala, SN Sethuraman, ... Scientific reports 9 (1), 7293, 2019 | 27 | 2019 |
| Framework for robust blind image watermarking based on classification of attacks M Heidari, S Samavi, SMR Soroushmehr, S Shirani, N Karimi, K Najarian Multimedia Tools and Applications 76 (22), 23459-23479, 2017 | 20 | 2017 |
| A hybrid DCT-SVD based image watermarking algorithm M Heidari, N Karimi, S Samavi 2016 24th Iranian Conference on Electrical Engineering (ICEE), 838-843, 2016 | 20 | 2016 |
| Applying a machine learning model using a locally preserving projection based feature regeneration algorithm to predict breast cancer risk M Heidari, AZ Khuzani, G Danala, S Mirniaharikandehei, W Qian, ... Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and …, 2018 | 19 | 2018 |
| Improving performance of breast cancer risk prediction using a new CAD-based region segmentation scheme M Heidari, AZ Khuzani, G Danala, Y Qiu, B Zheng Medical Imaging 2018: Computer-Aided Diagnosis 10575, 166-171, 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 | |
| Developing global image feature analysis models to predict cancer risk and prognosis B Zheng, Y Qiu, F Aghaei, S Mirniaharikandehei, M Heidari, G Danala Visual Computing for Industry, Biomedicine, and Art 2 (1), 17, 2019 | 16 | 2019 |
| A hybrid deep learning approach to predict malignancy of breast lesions using mammograms Y Wang, M Heidari, S Mirniaharikandehei, J Gong, W Qian, Y Qiu, ... Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and …, 2018 | 15 | 2018 |
| Applying quantitative radiographic image markers to predict clinical complications after aneurysmal subarachnoid hemorrhage: A pilot study G Danala, M Desai, B Ray, M Heidari, SKR Maryada, CI Prodan, B Zheng Annals of biomedical engineering 50 (4), 413-425, 2022 | 14 | 2022 |
| 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 | 13 | 2020 |
Bin ZhengGerald Tuma Presidential Professor of Electrical and Computer Engineering, University of OklahomaVerified email at ou.edu
