Publications

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Osman, M. A., A. Darwish, A. E. Khedr, A. Z. Ghalwash, and A. E. Hassanien, "Enhanced Breast Cancer Diagnosis System Using Fuzzy Clustering Means Approach in Digital Mammography", Handbook of Research on Machine Learning Innovations and Trends: IGI Global, pp. 925–941, 2017. 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. A. Fattah, A. Ali, and A. E. Hassanin, "Enhanced Region Growing Segmentation For CT Liver Images", the 1st International Conference on Advanced Intelligent Systems and Informatics (AISI’15) Springer, . Beni Suef University, Beni Suef, Egypt , Nov. 28-30 , 2015. Abstract

This paper intends to enhance the image for the next usage
of region growing technique for segmenting the region of liver away from
other organs. The approach depends on a preprocessing phase to enhance
the appearance of the boundaries of the liver. This is performed using
contrast stretching and some morphological operations to prepare the
image for next segmentation phase. The approach starts with combining
Otsu's global thresholding with dilation and erosion to remove image
annotation and machine's bed. The second step of image preparation
is to connect ribs, and apply lters to enhance image and deepen liver
boundaries. The combined lters are contrast stretching and texture l-
ters. The last step is to use a simple region growing technique, which has
low computational cost, but ignored for its low accuracy. The proposed
approach is appropriate for many images, where liver could not be sep-
arated before, because of the similarity of the intensity with other close
organs. A set of 44 images taken in pre-contrast phase, were used to test
the approach. Validating the approach has been done using similarity
index. The experimental results, show that the overall accuracy o ered
by the proposed approach results in 91.3% accuracy.

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. A. Fattah, A. Fouad, A. E. Hassanien, and H. Hefny, "Enhanced region growing segmentation for CT liver images", The 1st International Conference on Advanced Intelligent System and Informatics (AISI2015), November 28-30, 2015, Beni Suef, Egypt: Springer International Publishing, pp. 115–127, 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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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 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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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., 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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Kai, and A. ela Hassanien, "extraction and application of deformation-based feature in medical images", Neurocomputing, 2012.
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Hussein, H. K., A. - E. Hassanien, and M. Nakajima, "Escape-Time Modified Algorithm for Generating Fractal Images Based on Petri Net Reachability", IEICE TRANSACTIONS on Information and Systems, vol. 82, no. 7: The Institute of Electronics, Information and Communication Engineers, pp. 1101–1108, 1999. Abstract
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Helal, M. A., T. El-Arief, A. E. Hassanien, and N. El-Haggar, "An Efficient Texture Segmentation Algorithm for Isolating Iris Patterns Based on Wavelet Theory", PATTERN RECOGNITION AND IMAGE ANALYSIS C/C OF RASPOZNAVANIYE OBRAZOV I ANALIZ IZOBRAZHENII, vol. 14, no. 1: NAUKA/INTERPERIODICA PUBLISHING, pp. 97–103, 2004. Abstract
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Hassanien, A. E., and J. M. H. Ali, "Enhanced rough sets rule reduction algorithm for classification digital mammography", Journal of Intelligent Systems, vol. 13: FREUND PUBLISHING HOUSE LTD., pp. 151–171, 2003. Abstract
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Hassanien, A. E., and J. M. H. Ali, "An Efficient Classification and Image Retrieval Algorithm Based on Rough Set Theory", Proceedings of the 5th International Conference on Enterprise Information Systems, , Angers, France, April 22-26 , 2003.
Hassanien, A. - E., Emergent Web Intelligence: Advanced Semantic Technologies, , London, Advanced Information and Knowledge Processing - Springer Verlag, 2010. AbstractWebsite

This book presents cutting-edge research in the field of semantic technologies. Its seventeen chapters are arranged into four parts and identify interdisciplinary challenges in the areas of the Semantic Web, artificial intelligence, and knowledge-based services. The chapters provide analysis and insight into semantic Web techniques and are authored by reputable scientists in the field. All articles are self-contained to provide the greatest reading flexibility and aim to serve as a reference for researchers in the Semantic Web community.

Hassanien, A. - E., Emergent Web Intelligence: Advanced Semantic Technologies, : Advanced Information and Knowledge Processing-Springer Verlag, 2010. Abstract
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Hassanien, A. - E., Emergent Web Intelligence: Advanced Information Retrieval, , London, Advanced Information and Knowledge Processing - Springer Verlag, 2010. AbstractWebsite

World Wide Web (WWW) provides interlinked hypertext documents (Web pages) that may contain text, images, videos, and other multimedia. WWW is growing at a remarkable rate and finding appropriate information can therefore be challenging. Web information retrieval deals with the search for documents, for information within documents and for metadata about documents, as well as that of searching databases in the WWW. Web information retrieval is an interdisciplinary science and deals with this challenge by exploiting various information technologies and computational intelligence approaches to design the next generation of web-information retrieval technologies. This Volume provides reviews of cutting-edge technologies and insights into various topics related to XML-based and multimedia information access and retrieval under the umbrella of Web Intelligence, it also illustrates how organizations can gain competitive advantages by applying new techniques in real-world scenarios. The 18 chapters are arranged in three parts and have identified several important problem formulations in the area of Web and multimedia information querying, modelling user interactions and advanced information security and access control models. Chapters are authored by reputed scientists in the field and all articles are self-contained to provide the greatest reading flexibility.

Hassanien, A. - E., Emergent Web Intelligence: Advanced Information Retrieval, : Advanced Information and Knowledge Processing-Springer Verlag, 2010. Abstract
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Hassanien, A. E., and M. Nakajima, "An efficient cross-dissolve transformation with alastic body spline warping interpolation for facial image morphing", Machine Graphics and Vision, vol. 7, no. 1/2, pp. 397–406, 1998. Abstract
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Hassanien, A. E., and J. M. H. Ali, "An Efficient Classification and Image Retrieval Algorithm Based on Rough Set Theory.", ICEIS (2), pp. 457–460, 2003. Abstract
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Hassanien, A. E., Emerging Markets and E-Commerce in Developing Economies, , USA, IGI Global USA, 2008. AbstractWebsite

High Internet penetration in regions such as North America, Australia, and Europe, has proven the World Wide Web as an important medium for e-commerce transaction. Despite the soaring adoption statistics for those already developed societies, diffusion rates still remain low for the less developed countries, with e-commerce in its infancy.Emerging Markets and E-Commerce in Developing Economies enhances understanding of e-commerce models and practices in less developed countries, and extends the growing literature on e-commerce. An essential addition to worldwide library collections in technology, commerce, social sciences, and related fields, this essential contribution expands the body of knowledge in the field with relevant theoretical foundations, methodologies, and frameworks, to the benefit of the international academic, research, governmental, and industrial communities.

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Fouad, M. M., V. Snasel, and A. E. Hassanien, "Energy-aware sink node localization algorithm for wireless sensor networks", International Journal of Distributed Sensor Networks, vol. 11, no. 7: SAGE Publications, pp. 810356, 2015. Abstract
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Fouad, M. M., V. Snasel, and A. E. Hassanien, "Energy-Aware Sink Node Localization Algorithm for Wireless Sensor Networks", International Journal of Distributed Sensor Networks, , vol. 2015, 2015. Website
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Elshazly, H. I., A. M. Elkorany, A. E. Hassanien, and A. T. Azar, "Ensemble classifiers for biomedical data: performance evaluation", Computer Engineering & Systems (ICCES), 2013 8th International Conference on: IEEE, pp. 184–189, 2013. Abstract
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