| Breast cancer detection using deep convolutional neural networks and support vector machines DA Ragab, M Sharkas, S Marshall, J Ren PeerJ 7, e6201, 2019 | 470 | 2019 |
| An enhanced WiFi indoor localization system based on machine learning AH Salamah, M Tamazin, MA Sharkas, M Khedr 2016 International conference on indoor positioning and indoor navigation …, 2016 | 175 | 2016 |
| 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 | 156 | 2021 |
| A Dual Digital-Image Watermarking Technique. M Sharkas, D ElShafie, N Hamdy WEC (5), 136-139, 2005 | 92 | 2005 |
| Fetal brain abnormality classification from MRI images of different gestational age O Attallah, MA Sharkas, H Gadelkarim Brain sciences 9 (9), 231, 2019 | 80 | 2019 |
| Eigenfaces vs. fisherfaces vs. ICA for face recognition; a comparative study M Sharkas, M Abou Elenien 2008 9th International Conference on Signal Processing, 914-919, 2008 | 71 | 2008 |
| MULTI-DEEP: A novel CAD system for coronavirus (COVID-19) diagnosis from CT images using multiple convolution neural networks MS Omneya Attallah, Dina A. Ragab PeerJ, 2020 | 63 | 2020 |
| Deep Learning Techniques for Automatic Detection of Embryonic Neurodevelopmental Disorders HG Omneya Attallah, Maha Sharkas diagnostics-683650 10 (1), 2020 | 59* | 2020 |
| Breast cancer diagnosis using an efficient CAD system based on multiple classifiers DA Ragab, M Sharkas, O Attallah Diagnostics 9 (4), 165, 2019 | 56 | 2019 |
| A multi-task pipeline with specialized streams for classification and segmentation of infection manifestations in COVID-19 scans MS Shimaa EL-Bana , Ahmad Al-Kabbany peerj computer science, 2020 | 42 | 2020 |
| GASTRO-CADx: a three stages framework for diagnosing gastrointestinal diseases MS Omneya Attallah peerj computer science, 2021 | 40 | 2021 |
| A Two-Stage Framework for Automated Malignant Pulmonary Nodule Detection in CT Scans MS Shimaa EL-Bana , Ahmad Al-Kabbany diagnostics, 2020 | 38 | 2020 |
| Detecting and classifying fetal brain abnormalities using machine learning techniques O Attallah, H Gadelkarim, MA Sharkas 2018 17th IEEE International Conference on Machine Learning and Applications …, 2018 | 36 | 2018 |
| Multiple watermark embedding scheme in wavelet-spatial domains based on ROI of medical images EF Badran, MA Sharkas, OA Attallah 2009 National Radio Science Conference, 1-8, 2009 | 31 | 2009 |
| Ear recognition with ensemble classifiers; A deep learning approach maha sharkas Multimedia Tools and Applications, 2022 | 27 | 2022 |
| Intelligent dermatologist tool for classifying multiple skin cancer subtypes by incorporating manifold radiomics features categories O Attallah, M Sharkas Contrast media & molecular imaging 2021 (1), 7192016, 2021 | 27 | 2021 |
| Breast cancer detection using deep convolutional neural networks and support vector machines. PeerJ 7: e6201 DA Ragab, M Sharkas, S Marshall, J Ren | 26 | 2019 |
| Image registration based on multi-scale SIFT for remote sensing images A Ibrahim, MA Sharks, AR Salem 2009 3rd International Conference on Signal Processing and Communication …, 2009 | 24 | 2009 |
| 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 |
| A neural network based approach for iris recognition based on both eyes M Sharkas 2016 SAI Computing Conference (SAI), 253-258, 2016 | 22 | 2016 |
Omneya AttallahProfessor, Arab Academy for Science, Technology, and Maritime TransportDirección de correo verificada de aast.edu
