Publications

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Journal Article
Sarkar, M., S. Banerjee, and A. E. Hassanien, "Evaluating the Degree of Trust Under Context Sensitive Relational Database Hierarchy Using Hybrid Intelligent Approach", International Journal of Rough Sets and Data Analysis (IJRSDA), vol. 2, no. 1: IGI Global, pp. 1–21, 2015. Abstract
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Zawbaa, H. M., N. El-Bendary, A. E. Hassanien, and T. - H. Kim, "Event detection based approach for soccer video summarization using machine learning", Int J Multimed Ubiquitous Eng, vol. 7, no. 2, pp. 63–80, 2012. Abstract
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Zawbaa, H. M., N. El-Bendary, A. E. Hassanien, and T. - H. Kim, "Event detection based approach for soccer video summarization using machine learning", Int J Multimed Ubiquitous Eng, vol. 7, no. 2, pp. 63–80, 2012. Abstract
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Kai, and A. ela Hassanien, "extraction and application of deformation-based feature in medical images", Neurocomputing, 2012.
Xiao, K., L. A. Liang, Haibing Guan, and A. E. Hassanien, "Extraction and application of deformation-based feature in medical images", Neurocomputing, vol. 120: Elsevier, pp. 177–184, 2013. Abstract
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Xiao, K., L. A. Liang, Haibing Guan, and A. E. Hassanien, "Extraction and application of deformation-based feature in medical images", Neurocomputing, vol. 120: Elsevier, pp. 177–184, 2013. Abstract
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Conference Paper
Alaa Tharwat, Abdelhameed Ibrahim, A. E. Hassanien, and G. Schaefer, "Ear Recognition Using Block-Based Principal Component Analysis and Decision Fusion", 6th International Conference Pattern Recognition and Machine Intelligence (PReMI 2015:), Warsaw, Poland, 2 July, 2015.
Alaa Tharwat, Abdelhameed Ibrahim, A. E. Hassanien, and G. Schaefer, "Ear recognition using block-based principal component analysis and decision fusion", International Conference on Pattern Recognition and Machine Intelligence: Springer International Publishing, pp. 246–254, 2015. Abstract
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Yasser Mahmoud Awad, A. A. Abdullah, T. Y. Bayoumi, K. Abd-Elsalam, and A. E. Hassanien, "Early Detection of Powdery Mildew Disease in Wheat (Triticum aestivum L.) Using Thermal Imaging Technique", Intelligent Systems'2014 Advances in Intelligent Systems and Computing Volume 323, 2015, pp 755-765, Poland , 2014. Abstract

Powdery mildew caused by Erysiphe graminis f. sp. tritici is one of the most harmful disease causing great losses in wheat yield. Currently, thermal spectral sensing of plant disease under different environmental conditions in field is a cutting-edge research. Objectives of this study were to assess thermal imaging of normal and infected leaves for early detection of powdery mildew in wheat after the artificial infection with Erysiphe graminis fungus in a pot experiment under greenhouse conditions. Pot experiment lasting for 30 days was conducted. Additionally, wheat seedlings were artificially infected with pathogen at 10 days from sowing. This is the first study in Egypt to use thermal imaging technique for early detection of powdery mildew disease on leaf using thermal signatures of artificial infected leaves as a reference images. Particularly, the variations in temperature between infected and healthy leaves of wheat and the variation between air and leaf-surface temperatures under greenhouse conditions were sensed for early detection of disease. Results revealed that infection with powdery mildew pathogen induced changes in leaf temperature (from 0.37 °C after one hour from the infection to 0.78 °C at 21 days after infection with the pathogen) and metabolism, contributing to a distinct thermal signature characterizing the early and late phases of the infection.

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., 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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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., 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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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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Elshazly, H. I., A. M. Elkorany, and A. E. Hassanien, "Ensemble-based classifiers for prostate cancer Diagnosis", The 9th IEEE International Computer Engineering Conference (ICENCO 2013) pp. 49 - 54, Cairo, EGYPT -, December 29-30, 2013.
Elshazly, H. I., A. M. Elkorany, and A. E. Hassanien, "Ensemble-based classifiers for prostate cancer diagnosis", Computer Engineering Conference (ICENCO), 2013 9th International: IEEE, pp. 49–54, 2013. Abstract
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Sharif, M. M., Alaa Tharwat, A. E. Hassanien, and H. A. Hefny, "Enzyme vs. non-enzyme classification based on principal component analysis and AdaBoost classifier", Computing, Communication and Automation (ICCCA), 2016 International Conference on: IEEE, pp. 288–293, 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., 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., 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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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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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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Ayeldeen, H., A. E. Hassanien, and A. Fahmy, "Evaluation of Semantic Similarity across MeSH Ontology: A Cairo University Thesis Mining Case Study", 12th Mexican International Conference on Artificial Intelligence, , Mexico City, Mexico, pp. 139-144, 2013.
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