| A split-and-merge approach for hyperspectral band selection S Rashwan, N Dobigeon IEEE Geoscience and Remote Sensing Letters 14 (8), 1378-1382, 2017 | 29 | 2017 |
| A fuzzy-watershed based algorithm for protein spot detection in 2DGE images S Rashwan, T Faheem, A Sarhan, BAB Youssef IJCSNS Int J Comput Sci Netw Secur 10, 254-260, 2010 | 9 | 2010 |
| Unsupervised spectral–spatial multiscale feature learning framework for hyperspectral image classification based on multiple kernel self-organizing maps N Khattab, S Rashwan, HM Ebied, W Sheta, H Shedeed, MF Tolba Journal of Applied Remote Sensing 14 (4), 046503-046503, 2020 | 8 | 2020 |
| Fuzzy watershed segmentation algorithm: an enhanced algorithm for 2D gel electrophoresis image segmentation S Rashwan, A Sarhan, MT Faheem, BA Youssef International journal of data mining and bioinformatics 12 (3), 275-293, 2015 | 8 | 2015 |
| Plant leaf disease detection using deep learning on mobile devices SA Rashwan, MK Elteir International Journal of Computational Vision and Robotics 12 (2), 156-176, 2022 | 7 | 2022 |
| A wavelet relational fuzzy C-means algorithm for 2D gel image segmentation S Rashwan, MT Faheem, A Sarhan, BAB Youssef Computational and Mathematical methods in medicine 2013, 2013 | 7 | 2013 |
| De-noising 2D gel images using wavelet transform based on genetic algorithm MT Faheem, S Rashwan, A Sarhan, BA Youssef Proc 10th WSEAS Int Conf Appl Comput Appl Comput Sci, 187-94, 2011 | 7 | 2011 |
| A relational fuzzy c-means algorithm for detecting protein spots in two-dimensional gel images S Rashwan, T Faheem, A Sarhan, BAB Youssef Advances in Computational Biology, 215-227, 2010 | 7 | 2010 |
| Detection of buried landmines using the possibilistic correlation-dependent fusion methods S Rashwan, MA Ismail, S Fouad Proceedings of the 6th WSEAS International Conference on Signal Processing …, 2007 | 5 | 2007 |
| Non-linear unmixing of hyperspectral images using multiple-kernel self-organising maps S Rashwan, N Dobigeon, W Sheta, H Hassan IET Image Processing 13 (12), 2190-2195, 2019 | 4 | 2019 |
| The possibilistic correlation-dependent fusion methods for optical detection S Rashwan, MA Ismail, S Fouad WSEAS transactions on biology and biomedicine 4 (5), 2007 | 4 | 2007 |
| A multi-focus image fusion method based on watershed segmentation and IHS image fusion S Rashwan, A Youssef, BAB Youssef International Journal of Image and Data Fusion 12 (2), 176-184, 2021 | 3 | 2021 |
| Parallel implementation of multiple kernel self-organizing maps for spectral unmixing GM Fathy, HA Hassan, S Rahwan, WM Sheta Journal of Real-Time Image Processing 17, 1267-1284, 2020 | 3 | 2020 |
| A novel approach for protein spots quantification in two-dimensional gel images HA Rashwan, AM Sarhan, MT Faheem, BA Youssef International Journal of Signal Processing, Image Processing and Pattern …, 2011 | 3 | 2011 |
| Detection of Buried Landmines in MWIR Time-series Images using the Possibilistic Correlation-Dependent Fusion Methods S Rashwan, MA Ismail, S Fouad WSEAS transactions on Systems and Control 2 (2), 218, 2007 | 3 | 2007 |
| Possibilistic fusion for landcover mapping using correlated satellite imagery for environmental change S Rashwan, MA Ismail, S Fouad WSEAS proceedings of the 5th Int. Conf. on Computational Intelligence, Man …, 2006 | 3 | 2006 |
| Adaptive Multiple Kernel Self-organizing Maps for Hyperspectral Image Classification NS Khattab, S Rashwan, HM Ebeid, HA Shedeed, WM Sheta, MF Tolba Proceedings of the 8th International Conference on Computer Modeling and …, 2017 | 2 | 2017 |
| Comparing Unlabeled Pedigree Graphs via Covering with Bipartite and Path LA Amar, NA Belal, S Rashwan Journal of Computational Biology 23 (11), 912-922, 2016 | 2 | 2016 |
| A new watershed algorithm for protein spot detection in 2DGE images using the notion of fuzzy relations S Rashwan, T Faheem, A Sarhan, BAB Youssef 2010 2nd International Conference on Computer Technology and Development …, 2010 | 2 | 2010 |
| Land cover mapping using triangular-norms S Rashwan, MA Ismail, S Fouad WSEAS transactions on computers research 1 (1), 19, 2006 | 2 | 2006 |
