| 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 | 399 | 2020 |
| 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 and biology, 2017 | 108 | 2017 |
| 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 | 55 | 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 | 45 | 2021 |
| 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 | 28 | 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 | 28 | 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 | 23 | 2019 |
| 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 | 18 | 2018 |
| 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, 1-14, 2019 | 14 | 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 | 14 | 2018 |
| Correlation of imaging and plasma based biomarkers to predict response to bevacizumab in epithelial ovarian cancer (EOC) ME Buechel, D Enserro, RA Burger, MF Brady, K Wade, AA Secord, ... Gynecologic oncology 161 (2), 382-388, 2021 | 10 | 2021 |
| A new case-based CAD scheme using a hierarchical SSIM feature extraction method to classify between malignant and benign cases M Heidari, S Mirniaharikandehei, G Danala, Y Qiu, B Zheng Medical Imaging 2020: Imaging Informatics for Healthcare, Research, and …, 2020 | 9 | 2020 |
| 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 | 8 | 2021 |
| Developing new quantitative CT image markers to predict prognosis of acute ischemic stroke patients G Danala, B Ray, M Desai, M Heidari, S Mirniaharikandehei, ... Journal of X-ray science and technology 30 (3), 459-475, 2022 | 7 | 2022 |
| Association between background parenchymal enhancement of breast MRI and BIRADS rating change in the subsequent screening F Aghaei, S Mirniaharikandehei, AB Hollingsworth, RG Stoug, M Pearce, ... Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and …, 2018 | 7 | 2018 |
| Applying a CAD-generated imaging marker to assess short-term breast cancer risk S Mirniaharikandehei, A Zarafshani, M Heidari, Y Wang, F Aghaei, ... Medical Imaging 2018: Computer-Aided Diagnosis 10575, 768-774, 2018 | 7 | 2018 |
| Exploring a new quantitative image marker to assess benefit of chemotherapy to ovarian cancer patients S Mirniaharikandehei, O Patil, F Aghaei, Y Wang, B Zheng Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and …, 2017 | 5 | 2017 |
| Developing interactive computer-aided detection tools to support translational clinical research G Danala, S Mirniaharikandehei, M Jones, T Gai, SK Maryada, D Wu, ... Medical Imaging 2022: Image Perception, Observer Performance, and Technology …, 2022 | 4 | 2022 |
| A novel feature reduction method to improve performance of machine learning model S Mirniaharikandehei, M Heidari, G Danala, S Lakshmivarahan, B Zheng Medical Imaging 2021: Computer-Aided Diagnosis 11597, 504-510, 2021 | 4 | 2021 |
| Association of computer-aided detection results and breast cancer risk S Mirniaharikandehei, M Heidari, G Danala, W Qian, Y Qiu, B Zheng Medical Imaging 2019: Computer-Aided Diagnosis 10950, 118-124, 2019 | 4 | 2019 |
Bin ZhengGerald Tuma Presidential Professor of Electrical and Computer Engineering, University of OklahomaVerified email at ou.edu
