| 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 |
| A comparison of computer-aided diagnosis schemes optimized using radiomics and deep transfer learning methods G Danala, SK Maryada, W Islam, R Faiz, M Jones, Y Qiu, B Zheng Bioengineering 9 (6), 256, 2022 | 26 | 2022 |
| 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 | 9 | 2022 |
| A new interactive visual-aided decision-making supporting tool to predict severity of acute ischemic stroke G Danala, SKR Maryada, M Heidari, B Ray, M Desai, B Zheng Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and …, 2020 | 9 | 2020 |
| 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 |
| Comparison of performance in breast lesions classification using radiomics and deep transfer learning: an assessment study G Danala, SK Maryada, H Pham, W Islam, M Jones, B Zheng Medical Imaging 2022: Image Perception, Observer Performance, and Technology …, 2022 | 5 | 2022 |
| Applying a novel two-stage deep-learning model to improve accuracy in detecting retinal fundus images SKR Maryada, WL Booker, G Danala, CA Ha, S Mudduluru, DF Hougen, ... Medical Imaging 2022: Computer-Aided Diagnosis 12033, 149-156, 2022 | 5 | 2022 |
| An efficient synthetic data generation algorithm to improve efficacy of deep learning models of medical images SK Maryada, WL Booker, G Danala, M Jones, S Mudduluru, H Pham, ... | 4 | 2022 |
| 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 |
| Comparison of computer-aided diagnosis schemes optimized using radiomics and deep transfer learning methods. Bioengineering (Basel) 2022; 9 (6): 256 G Danala, SK Maryada, W Islam, R Faiz, M Jones, Y Qiu, B Zheng s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022 | 3 | 2022 |
| Observability Gramian and its role in the placement of observations in dynamic data assimilation S Lakshmivarahan, JM Lewis, SK Reddy Maryada Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol …, 2022 | 3 | 2022 |
| Placement of observations for variational data assimilation: Application to Burgers’ Equation and seiche phenomenon JM Lewis, S Lakshmivarahan, SKR Maryada Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol …, 2022 | 3 | 2022 |
| Improving medical image segmentation and classification using a novel joint deep learning model S Mudduluru, SKR Maryada, WL Booker, DF Hougen, B Zheng Medical Imaging 2023: Computer-Aided Diagnosis 12465 (SPIE), 2023 | 2 | 2023 |
| Application of Deep Learning to Optimize Computer-aided-detection and Diagnosis of Medical Images SKR Maryada | | 2023 |
| Applying a Random Projection Algorithm to Generate Optimal Feature Vector and Improve Performance of Machine Learning Model for Breast Lesion Classification M Heidari, S Lakshmivarahan, S Mirniaharikandehei, G Danala, ... | | |
Bin ZhengGerald Tuma Presidential Professor of Electrical and Computer Engineering, University of OklahomaVerified email at ou.edu
