| Breast cancer detection using deep convolutional neural networks and support vector machines. DA Ragab, M Sharkas, S Marshall, J Ren PeerJ 7: e6201, 2019 | 419 | 2019 |
| A framework for breast cancer classification using multi-DCNNs DA Ragab, O Attallah, M Sharkas, J Ren, S Marshall Computers in Biology and Medicine 131, 104245, 2021 | 127 | 2021 |
| MULTI-DEEP: A novel CAD system for coronavirus (COVID-19) diagnosis from CT images using multiple convolution neural networks O Attallah, DA Ragab, M Sharkas PeerJ 8, e10086, 2020 | 56 | 2020 |
| FUSI-CAD: Coronavirus (COVID-19) diagnosis based on the fusion of CNNs and handcrafted features DA Ragab, O Attallah PeerJ Computer Science 6, e306, 2020 | 55 | 2020 |
| Breast cancer diagnosis using an efficient CAD system based on multiple classifiers DA Ragab, M Sharkas, O Attallah Diagnostics 9 (4), 165, 2019 | 54 | 2019 |
| Detection of microcalcifications in mammograms using support vector machine M Sharkas, M Al-Sharkawy, DA Ragab 2011 UKSim 5th European Symposium on Computer Modeling and Simulation, 179-184, 2011 | 23 | 2011 |
| Breast cancer detection using deep convolutional neural networks and support vector machines. PeerJ 7: e6201 DA Ragab, M Sharkas, S Marshall, J Ren Peer J, 2019 | 21 | 2019 |
| Auto-MyIn: Automatic diagnosis of myocardial infarction via multiple GLCMs, CNNs, and SVMs O Attallah, DA Ragab Biomedical Signal Processing and Control 80, 104273, 2023 | 18 | 2023 |
| Breast cancer detection using support vector machine technique applied on extracted electromagnetic waves M Al Sharkawy, M Sharkas, D Ragab Applied Computational Electromagnetics Society Journal 27 (4), 292, 2012 | 16 | 2012 |
| Breast cancer detection using deep convolutional neural networks and support vector machines. PeerJ 2019; 7: e6201 DA Ragab, M Sharkas, S Marshall, J Ren | 8 | 2019 |
| A Comparison between Support Vector Machine and Artificial Neural Network for Breast Cancer Detection DA Ragab, M Sharkas, M Al-Sharkawy 12th Int. Conf. Signal Process. Robot. Autom. (ISPRA ’13), Cambridge, UK, 2013, 2013 | 7 | 2013 |
| Breast cancer detection using deep convolutional neural networks and support vector machines. PeerJ, 2019 (1), 1–23 DA Ragab, M Sharkas, S Marshall, J Ren Peer J, 2019 | 6 | 2019 |
| Urban spaces as a positive catalyst during pandemics: Assessing the community’s well-being by using artificial intelligence techniques AH Salama, DA Ragab, NM Abdelmoneim Ain Shams Engineering Journal 14 (5), 2023 | 3 | 2023 |
| DeepCSFusion: Deep Compressive Sensing Fusion for Efficient COVID-19 Classification DA Ragab, S Fayed, N Ghatwary Journal of Imaging Informatics in Medicine, 1-13, 2024 | | 2024 |
| Deep learning and information fusion based classification of breast cancer in mammography images DA Ragab University of Strathclyde, 2022 | | 2022 |
| Breast Cancer Detection using Image Processing and Electromagnetics DA Ragab LAP LAMBERT Academic Publisher, ISBN 978-3-659-59722-0, 2014 | | 2014 |
maha sharkasProfessor of Electronics and communications engineering, arab academy for Science and TechnologyVerified email at aast.edu
