Publications

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2001
Ho, S. H., A. E. Hassanien, N. Van Du, Q. Salih, and H. Sooi, "FUZZY C-MEANS CLUSTERING WITH ADJUSTABLE FEATURE WEIGHTING DISTRIBUTION FOR BRAIN MRI VENTRICLES SEGMENTATION Kai Xiao1", Update, vol. 15, pp. 1, 2001. Abstract
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2006
Hassanien, A., M. Nachtegael, D. VAN DER WEKEN, H. NOBUHARA, and E. Kerre, Soft Computing in Image Processing, : Springer, 2006. Abstract
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Hassanien, A., M. Nachtegael, D. VAN DER WEKEN, H. NOBUHARA, and E. Kerre, Soft Computing in Image Processing, : Springer, 2006. Abstract
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2009
Václav Snášel, A. Keprt, A. Abraham, and A. E. Hassanien, "Approximate string matching by fuzzy automata", Man-Machine Interactions: Springer Berlin Heidelberg, pp. 281–290, 2009. Abstract
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Václav Snášel, A. Keprt, A. Abraham, and A. E. Hassanien, "Approximate string matching by fuzzy automata", Man-Machine Interactions: Springer Berlin Heidelberg, pp. 281–290, 2009. Abstract
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Hassanien, A. - E., A. Abraham, A. V. Vasilakos, and W. Pedrycz, Foundations of Computational Intelligence: Volume 1: Learning and Approximation, : Springer, 2009. Abstract
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2010
Horàk, Z., Václav Snášel, A. Abraham, and A. E. Hassanien, "Fuzzified Aho-Corasick Search Automata", Information Assurance and Security (IAS), 2010 Sixth International Conference on: IEEE, pp. 338–342, 2010. Abstract
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Horàk, Z., Václav Snášel, A. Abraham, and A. E. Hassanien, "Fuzzified Aho-Corasick Search Automata", Information Assurance and Security (IAS), 2010 Sixth International Conference on: IEEE, pp. 338–342, 2010. Abstract
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Hassanien, A. E., H. Al-Qaheri, Václav Snášel, and J. F. Peters, "Machine learning techniques for prostate ultrasound image diagnosis", Advances in Machine Learning I: Springer Berlin Heidelberg, pp. 385–403, 2010. Abstract
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Hassanien, A. E., H. Al-Qaheri, Václav Snášel, and J. F. Peters, "Machine learning techniques for prostate ultrasound image diagnosis", Advances in Machine Learning I: Springer Berlin Heidelberg, pp. 385–403, 2010. Abstract
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Kudělka, M., Václav Snášel, Z. Horák, A. E. Hassanien, and A. Abraham, "Web communities defined by web page content", Computational Social Network Analysis: Springer London, pp. 349–370, 2010. Abstract
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Kudělka, M., Václav Snášel, Z. Horák, A. E. Hassanien, and A. Abraham, "Web communities defined by web page content", Computational Social Network Analysis: Springer London, pp. 349–370, 2010. Abstract
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2011
Heba, T., E. - B. Nashwa, H. AboulElla, B. Yehia, and S. Vaclav, "Retinal Feature-Based Registration Schema", Informatics Engineering and Information Science Communications in Computer and Information Science Volume 252, 2011, pp 26-36 , Ostrava, Czech Republic, 7-9 July, 2011. Abstract

This paper presents a feature-based retinal image registration schema. A structural feature, namely, bifurcation structure, has been used for the proposed feature-based registration schema. The bifurcation structure is composed of a master bifurcation point and its three connected neighbors. The characteristic vector of each bifurcation structure consists of the normalized branching angle and length, which is invariant against translation, rotation, scaling, and even modest distortion. The proposed schema is composed of five fundamental phases, namely, input retinal images pre-processing, vascular network detection, noise removal, bifurcation points detection in vascular networks, and bifurcation points matching in pairs of retinal images. The effectiveness of the proposed schema is demonstrated by the experiments with 12 pairs retinal images collected from clinical patients. The registration is carried out through optimizing a certain similarity function, namely, normalized correlation of images. It has been observed that the proposed schema has achieved good performance accuracy.

2013
Soliman, O. S., Jan Platoš, A. E. Hassanien, and Václav Snášel, "Automatic localization and boundary detection of retina in images using basic image processing filters", Proceedings of the Third International Conference on Intelligent Human Computer Interaction (IHCI 2011), Prague, Czech Republic, August, 2011: Springer Berlin Heidelberg, pp. 169–182, 2013. Abstract
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Soliman, O. S., Jan Platoš, A. E. Hassanien, and Václav Snášel, "Automatic localization and boundary detection of retina in images using basic image processing filters", Proceedings of the Third International Conference on Intelligent Human Computer Interaction (IHCI 2011), Prague, Czech Republic, August, 2011: Springer Berlin Heidelberg, pp. 169–182, 2013. Abstract
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Soliman, O. S., Jan Platoš, A. E. Hassanien, and Václav Snášel, "Automatic localization and boundary detection of retina in images using basic image processing filters", Proceedings of the Third International Conference on Intelligent Human Computer Interaction (IHCI 2011), Prague, Czech Republic, August, 2011: Springer Berlin Heidelberg, pp. 169–182, 2013. Abstract
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Hassanien, A. E., N. El-Bendary, M. Kudělka, and Václav Snášel, "Breast cancer detection and classification using support vector machines and pulse coupled neural network", Proceedings of the Third International Conference on Intelligent Human Computer Interaction (IHCI 2011), Prague, Czech Republic, August, 2011: Springer Berlin Heidelberg, pp. 269–279, 2013. Abstract
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Hassanien, A. E., N. El-Bendary, M. Kudělka, and Václav Snášel, "Breast cancer detection and classification using support vector machines and pulse coupled neural network", Proceedings of the Third International Conference on Intelligent Human Computer Interaction (IHCI 2011), Prague, Czech Republic, August, 2011: Springer Berlin Heidelberg, pp. 269–279, 2013. Abstract
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Hassanien, A. E., N. El-Bendary, M. Kudělka, and Václav Snášel, "Breast cancer detection and classification using support vector machines and pulse coupled neural network", Proceedings of the Third International Conference on Intelligent Human Computer Interaction (IHCI 2011), Prague, Czech Republic, August, 2011: Springer Berlin Heidelberg, pp. 269–279, 2013. Abstract
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Ali, A. F., A. E. Hassanien, and Václav Snášel, "The Nelder-Mead Simplex Method with Variables Partitioning for Solving Large Scale Optimization Problems.", Innovations in Bio-inspired Computing and Applications. Advances in Intelligent Systems and Computing(Springer) , Czech republic , Volume 237, pp. 271-284, 2013.
Waleed Yamany, N. El-Bendary, Hossam M. Zawbaa, A. E. Hassanien, and Václav Snášel, "Rough Power Set Tree for Feature Selection and Classification: Case Study on MRI Brain Tumor", Innovations in Bio-inspired Computing and Applications. Advances in Intelligent Systems and Computing(Springer) , Czech republic , 2013.
2014
Abder-Rahman Ali, Micael Couceiro, A. E. Hassanien, M. F. Tolba, and Václav Snášel, "Fuzzy c-means based liver ct image segmentation with optimum number of clusters", Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications IBICA 2014: Springer International Publishing, pp. 131–139, 2014. Abstract
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Abder-Rahman Ali, Micael Couceiro, A. M. Anter, A. E. Hassanien, M. F. Tolba, and Václav Snášel, "Liver CT Image Segmentation with an Optimum Threshold Using Measure of Fuzziness", Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications IBICA 2014: Springer International Publishing, pp. 83–92, 2014. Abstract
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Ali, A. F., A. E. Hassanien, and Václav Snášel, "The nelder-mead simplex method with variables partitioning for solving large scale optimization problems", Innovations in Bio-inspired Computing and Applications: Springer International Publishing, pp. 271–284, 2014. Abstract
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Ali, A. F., A. E. Hassanien, Václav Snášel, and M. F. Tolba, "A New Hybrid Particle Swarm Optimization with Variable Neighborhood Search for Solving Unconstrained Global Optimization Problems", Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications IBICA 2014: Springer International Publishing, pp. 151–160, 2014. Abstract
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