Gehad Ismail Sayed

Ph.D. Student

Scientific Research Group in Egypt (SRGE) Cairo Univesrity

Gehad received her B.Sc. with honours in 2013 and M.Sc degree in 2016, both from Cairo University, Faculty of Computers and Information, Information Technology Department, Cairo, Egypt.  She is a member of the Scientific Research Group in Egypt (SRGE).  She slected as reviewer for knowlegede based system journal, IETE journal of research and other journals. Her research areas include computational intelligence, medical image analysis and data mining. Gehad has published many papers in conferences, journals and book chapters.

Google Scholar

https://scholar.google.com.eg/citations?user=YLBreFoAAAAJ&hl=en

List of publications

Papers:

  • G. Sayed and A. Hassanien, “Moth-flame swarm optimization with neutrosophic sets for automatic mitosis detection in breast cancer histology images”, Applied Intellegence, 1-12, DOI 10.1007/s10489-017-0897-0, 2017 [Accepted].
  • G. Sayed, A. Hassanien and A. Taher, “Feature selection via a novel chaotic crow search algorithm”, Neural Computing and Applications, 2017[Accepted].
  • M. Ali, G. Sayed, T. Gaber, A. Hassanien, V. Snasel and L. Silva, "Detection of Breast Abnormalities of Thermograms based on a New Segmentation Method", Proceedings of the Federated Conference on Computer Science and Information Systems (ACSIS), IEEE, Vol. 5, L’odz, Poland, PP. 255-261, 2015.
  • G. Sayed and A. Hassanien, "Adaptive particle swarm optimization approach for CT Liver Parenchyma Segmentation", the 1st International Conference on Advanced Intelligent Systems and Informatics (AISI), Springer, Vol. 407, Beni Suef University, Beni Suef, Egypt, PP. 219-228, 2016.
  • T. Gaber, G. Sayed, A. Anter, M. Soliman, M. Ali, N. Semary, A. Hassanien and V. Snasel, "Thermogram Breast Cancer Detection Approach Based on Neutrosophic Sets and Fuzzy C-Means Algorithm", 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, PP. 4254-4257, Milano, Italy, 2015.
  • G. Sayed, M. Ali, A. Hassanien and T. Kim, "Automatic Mitosis Detection and Counting Approach for Breast Cancer Histopathology Slide Imaging using Neutrosophic Set", Fourth IEEE International Conference on Information Technology and Computer Science (ITCS 2015), IEEE, Kota Kinabalu, Kota Kinabalu, Malaysia, 2015. [Accepted]
  • G. Sayed, M. Ali, A. Hassanien and T. Kim, "Fuzzy C-means and Grey Wolf Optimizer for Abdominal CT Liver Parenchyma Segmentation", Fourth IEEE International Conference on Sensor and Its Applications (SIA), IEEE, Vol. 5, Oakland University, Michigan, USA, 2015. [Accepted]
  • G. Sayed, M. Ali, T. Gaber, A. Hassanien and V. Sansel, "A Hybrid Segmentation Approach based on Neutrosophic sets and modified watershed: A case of abdominal CT liver parenchyma", 11th International Computer Engineering Conference (ICENCO), Cairo, Egypt, pp. 144-149, 2015.
  • G. Sayed, A. Hassanien and T. Kim, "Interphase Cells Removal from Metaphase Chromosome Images Based on Meta-Heuristic Grey Wolf Optimizer", 11th International Computer Engineering Conference (ICENCO), Cairo, Egypt, pp. 261-266, 2015.
  • G. Sayed, A. Hassanien and G. Schaefer, "An Automated Computer-aided Diagnosis System for Abdominal CT Liver Images", the 20th Annual Conference in Medical Image Understanding and Analysis (MIUA 2016), Loughborough University, Loughborough, UK, pp. 68-73, vol. 90, 2016.
  • G. Sayed, A. Hassanien and T. Nassef, “Alzheimer's Disease Diagnosis Based on Moth Flame Optimization”, 10th international conference on genetic and evolutionary computing (ICGEC), Fujian, China, pp. 298-305, 2016.
  • G. Sayed, A. Darwish and A. Hassanien, “Breast cancer diagnosis approach based on meta-heuristic optimization algorithm inspired by bubble-net hunting strategy of whales”, 10th international conference on genetic and evolutionary computing (ICGEC), Fujian, China, pp. 306-313, 2016. 

Book Chapters

 

  • Ali, A. Mostafa, G. Sayed, A. Ali, M. Elfattah, and A. Hassanien, “Nature inspired optimization algorithms for CT liver segmentation”, Medical Imaging in Clinical Applications, Series Studies in Computational Intelligence, Springer International Publishing Switzerland,  Editors: N. Dey, V. Bhateja, A.  Hassanien,  Vol. 651, pp. 431-460, (2016).
  • G. Sayed, M. Soliman and A. Hassanien, “Bio-inspired Swarm Techniques for Thermogram Breast Cancer Detection”,  Medical Imaging in Clinical Applications, Series Studies in Computational Intelligence, Springer International Publishing Switzerland, ,  Editors: N. Dey, V. Bhateja, A.  Hassanien , Vol. 651, pp. 487-506, (2016).
  • G. Sayed and A. Hassanien, “Neuro-Imaging Machine Learning Techniques for Alzheimer's Disease Diagnosis”, Handbook of Research on Machine Learning Innovations and Trends, IGI Global, pp. 522-540, (2017)

 

Book

  • G. Sayed, “Advances in computer-aided diagnosis systems”, LAP LAMBERT Academic Publishing, Pages. 252, (2016)

 

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