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Mostafa, A., A. Fouad, M. A. Fattah, A. E. Hassanien, H. Hefny, S. Y. Zhu, and G. Schaefer, "CT liver segmentation using artificial bee colony optimisation", Procedia Computer Science, vol. 60: Elsevier, pp. 1622–1630, 2015. Abstract
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Mostafa, A., A. E. Hassanien, N. I. Ghali, and H. Hefny, "Level Set-based Liver Image Segmentation with Watershed and ANN Classifier", The IEEE International Conference on Hybrid Intelligent Systems (HIS2012). , Pune. India. 4-7, Dec. 2012,. Abstract

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Mostafa, A., A. E. Hassanien, and H. Hefney, "Liver segmentation in MRI images based on whale optimization algorithm,", Multimedia Tools and Applications, Springer, 2017.
Mostafa, A., M. A. Fattah, A. Fouad, A. E. Hassanien, and H. Hefny, "Wolf local thresholding approach for liver image segmentation in CT images", Proceedings of the Second International Afro-European Conference for Industrial Advancement AECIA 2015: Springer International Publishing, pp. 641–651, 2016. Abstract
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Mostafa, A., H. Hefny, N. I. Ghali, A. E. Hassanien, and G. Schaefer, "Evaluating the effects of image filters in CT liver CAD system", Biomedical and Health Informatics (BHI), 2012 IEEE-EMBS International Conference on: IEEE, pp. 448–451, 2012. Abstract
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Mostafa, A., M. Houseni, N. Allam, A. E. Hassanien, H. Hefny, and P. - W. Tsai, "Antlion Optimization Based Segmentation for MRI Liver Images", International Conference on Genetic and Evolutionary Computing: Springer International Publishing, pp. 265–272, 2016. Abstract
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Mona M. Soliman, A. E. Hassanien, and H. M. Ons, "A Blind 3D Watermarking Approach for 3D Mesh Using Clustering Based Methods", IJCVIP - International Journal of Computer Vision and Image Processing, vol. 3, issue 2, pp. 43-53, 2013. Website
Mokhtar, U., A. E. Hassanien, and M. A. H. A. S. Hefny, "Tomato leaves diseases detection approach based on support vector machines", IEEE iInternational Computer Engineering Conference - ICENCO , Cairo, 30 Dec, 2015.
Mokhtar, U., M. A. S. Ali, A. E. Hassanien, and H. Hefny, "Identifying two of tomatoes leaf viruses using support vector machine", Information Systems Design and Intelligent Applications: Springer India, pp. 771–782, 2015. Abstract
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Mohamed Tahoun, Abd El Rahman Shabayek, H. Nassar, M. M. Giovenco, R. Reulke, Eid Emary, and A. E. Hassanien, "Satellite Image Matching and Registration: A Comparative Study Using Invariant Local Features", Image Feature Detectors and Descriptors: Springer International Publishing, pp. 135–171, 2016. Abstract
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Mohamed Tahoun, Abd El Rahman Shabayek, A. E. Hassanien, and R. Reulke, "An evaluation of local features on satellite images", Telecommunications and Signal Processing (TSP), 2015 38th International Conference on: IEEE, pp. 1–6, 2015. Abstract
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Mohamed Tahoun, Abd El Rahman Shabayek, R. Reulke, and A. E. Hassanien, "Co-registration of Satellite Images Based on Invariant Local Features", IEEE Conf. on Intelligent Systems (2) 2014: 653-660, Poland - Warsaw , 24 -26 Sept. , 2014. Abstract

Detection and matching of features from satellite images taken from different sensors, viewpoints, or at different times are important tasks when manipulating and processing remote sensing data for many applications. This paper presents a scheme for satellite image co-registration using invariant local features. Different corner and scale based feature detectors have been tested during the keypoint extraction, descriptor construction and matching processes. The framework suggests a sub-sampling process which controls the number of extracted key points for a real time processing and for minimizing the hardware requirements. After getting the pairwise matches between the input images, a full registration process is followed by applying bundle adjustment and image warping then compositing the registered version. Harris and GFTT have recorded good results with ASTER images while both with SURF give the most stable performance on optical images in terms of better inliers ratios and running time compared to the other detectors. SIFT detector has recorded the best inliers ratios on TerraSAR-X data while it still has a weak performance with other optical images like Rapid-Eye and ASTER.

Mohamed Tahoun, Abd El Rahman Shabayek, and A. E. Hassanien, "Matching and Co-Registration of Satellite Images Using Local Features", Proc. International Conference on Space Optical Systems and Applications, (ICSOS), Kobe, Japan, May 7-9, 2014. tahoun_shabayek_abo_icsos_2014_japan.pdf.pdf
Mohamed Tahoun, A. E. Hassanien, and R. Reulke, "Registration of Optical and Radar Satellite Images Using Local Features and Non-rigid Geometric Transformations", Surface Models for Geosciences: Springer International Publishing, pp. 249–261, 2015. Abstract
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Mohamed Tahoun, Abd El Rahman Shabayek, R. Reulke, and A. E. Hassanien, "Co-registration of Satellite Images Based on Invariant Local Features", Intelligent Systems' 2014: Springer International Publishing, pp. 653–660, 2015. Abstract
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Mohamed Tahoun, A. E. R. Shabayayek, and A. E. Hassanien, "Matching and co-registration of satellite images using local features", Proceedings of the International Conference on Space Optical Systems and Applications, Kobe, Japan, vol. 79, 2014. Abstract
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Mohamed Tahoun, Abd El Rahman Shabayek, A. E. Hassanien, and R. Reulke, "An Evaluation of Local Features on Satellite Images ", The 37th International Conference on Telecommunications and Signal Processing (TSP), which will be held during 2014, ., Berlin, Germany, July 1-3,, 2014. tahoun_shabayek_abo_reulke_tsp2014_berlin.pdf
Mohamed Abd. Elfattah, N. El-Bendary, M. A. A. Elsoud, Jan Platoš, and A. E. Hassanien, "Principal Component Analysis Neural Network Hybrid Classification Approach for Galaxies Images.", Innovations in Bio-inspired Computing and Applications. Advances in Intelligent Systems and Computing(Springer) , Czech republic , 2013.
Moftah, H. M., A. E. Hassanien, A. M. Alimi, H. Karray, and M. F. Tolba, "Ant-based clustering algorithm for magnetic resonance breast image segmentation", Hybrid Intelligent Systems (HIS), 2013 13th International Conference on: IEEE, pp. 161–166, 2013. Abstract
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Moftah, H. M., W. H. Elmasry, N. El-Bendary, A. E. Hassanien, and K. Nakamatsu, "Evaluating the effects of k-means clustering approach on medical images", Intelligent Systems Design and Applications (ISDA), 2012 12th International Conference on: IEEE, pp. 455–459, 2012. Abstract
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Moftah, H. M., N. I. Ghali, A. E. Hassanien, and M. A. Ismail, "Volume identification and estimation of MRI brain tumor", Hybrid Intelligent Systems (HIS), 2012 12th International Conference on: IEEE, pp. 120–124, 2012. Abstract
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Moftah, H. M., W. H. Elmasry, N. El-Bendary, A. E. Hassanien, and K. Nakamatsu, "Evaluating the effects of k-means clustering approach on medical images", Intelligent Systems Design and Applications (ISDA), 2012 12th International Conference on: IEEE, pp. 455–459, 2012. Abstract
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Moftah, H. M., A. T. Azar, E. T. Al-Shammari, N. I. Ghali, A. E. Hassanien, and M. Shoman, "Adaptive k-means clustering algorithm for MR breast image segmentation", Neural Computing and Applications, vol. 24, no. 7-8: Springer London, pp. 1917–1928, 2014. Abstract
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Moftah, H. M., A. E. Hassanien, N. Ghali, and M. Shoman, Multi-objective optimization K-mean segmentation approach for MRI Breast Images, , 2012. Abstract
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Moftah, H. M., A. T. Azar, E. T. Al-Shammari, N. I. Ghali, A. E. Hassanien, and M. Shoman, "Adaptive k-means clustering algorithm for MR breast image segmentation", Neural Computing and Applications, vol. 24, no. 7-8: Springer London, pp. 1917–1928, 2014. Abstract
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