1. Shoukry, N., M.A.A. El Ghany and M.A.M. Salem, 2022. Multi-modal long-term person re-identification using physical soft bio-metrics and body figure. Appl. Sci. Vol. 12. 10.3390/app12062835.
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2. Shafaey, M.A., F. Melgani, M.A.M. Salem, M.N. Al-Berry, H.M. Ebied, El-Sayed A. El-Dahshan and M.F. Tolba, 2022. Pixel-wise classification of hyperspectral images with 1d convolutional svm networks. IEEE Access, 10: 133174-133185.
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3. El-Torky, D.M.S., M.I. Roushdy, M.N. Al-Berry and M.A. El-Mageed Salem, 2022. Brain tumor visualization for magnetic resonance images using modified shape-based interpolation method. Int. J. Electr. Comput. Eng. Vol. 12. 10.11591/ijece.v12i3.pp2553-2563.
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4. El-Askary, N.S., M.A.M. Salem and M.I. Roushdy, 2022. Features processing for random forest optimization in lung nodule localization.
   Expert Syst. Appli. Vol. 193. 10.1016/j.eswa.2021.116489.
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5. Diame, Z., M. ElBery, M. Salem and M. Roushdy, 2022. Experimental comparative study on autoencoder performance for aided melanoma skin disease recognition. Int. J. Intell. Comput. Inf. Sci. 22: 88-97.
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6. Shafaey, M.A., M.A.M. Salem, M.N. Al-Berry, H.M. Ebied and M.F. Tolba, 2021. Review on Supervised and Unsupervised Deep Learning Techniques for Hyperspectral Images Classification. In: Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021). A.E. Hassanien, A. Haqiq, P.J. Tonellato, L. Bellatreche and S. Goundar, (Ed.)., Springer International Publishing, New York., pp: 9.
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7. Ezzat, M.A., M.A.A. El Ghany, S. Almotairi and M.A.M. Salem, 2021. Horizontal review on video surveillance for smart cities: edge devices, applications, datasets, and future trends. Sensors. Vol. 21. 10.3390/s21093222.
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8. Shafaey, M.A., M.A.M. Salem, M.N. Al-Berry, H.M. Ebied, E.A. El-Dahshan and M.F. Tolba, 2020. Hyperspectral Image Classification Using Deep Learning Technique. In: Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020). Hassanien, Aboul-Ella , A.T. Azar, T. Gaber, D. Oliva and F.M. Tolba. Springer International Publishing, New York., pp: 9.
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9. Shafaey, M.A., M.A.M. Salem, M.N. Al-Berry, H.M. Ebied and M.F. Tolba, 2020. Remote Sensing Image Classification Based on Convolutional Neural Networks. In: Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020). Hassanien, Aboul-Ella, A.T. Azar, T. Gaber, D. Oliva and F.M. Tolba, (Ed.)., Springer International Publishing, New York., pp: 9.
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10. El-Regaily, S.A., M.A.M. Salem, M.H.A. Aziz and M.I. Roushdy, 2020. Multi-view convolutional neural network for lung nodule false positive reduction. Exp. Syst. Appl. Vol. 162. 10.1016/j.eswa.2019.113017.
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11. Almotairi, S., G. Kareem, M. Aouf, B. Almutairi and M.A.M. Salem, 2020. Liver tumor segmentation in CT scans using modified segnet. Sensors. Vol. 20. 10.3390/s20051516.
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12. El-Torky, D.M.S., M.N. Al-Berry, M.S. Abdel-Megeed and M.I. Roushdy, 2019. 3D visualization of brain tumors using mr images: A survey. Curr. Med. Imaging, 15: 353-361.
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13. Shams, M., M.A.M. Salem, S. Hamad and H.A. Shedeed, 2018. Segmentation of coronary artery tree from computed tomography angiography using region growing method IJMEI 10: 65-85.
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14. Shafaey, M.A., M.A.M. Salem, H.M. Ebied, M.N. Al-Berry ahnd M.F. Tolba, 2018. Deep Learning for Satellite Image Classification. In: Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2018. Hassanien, A.E., M.F. Tolba, K. Shaalan and A.T. Azar, (Ed.)., Springer International Publishing, New York., pp: 9.
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15. Mohamed, A.S. El-Din, M.A.M. Salem, D. Hegazy and H.A. Shedeed, 2018. Improved Watershed Algorithm for CT Liver Segmentation Using Intraclass Variance Minimization. In: Information and Software Technologies. Damaševičius, R. and V. Mikašytė, Springer International Publishing, New York., pp: 13.
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16. El‐Masry, M., M.W. Fakhr and M.A.M. Salem, 2018. Action recognition by discriminative EdgeBoxes. IET Comput. Vision, 12: 443-452.
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17. El-Regaily, S.A. El-Regaily, M.A. Salem, M.H.A. Aziz and M.I. Roushdy, 2018. Survey of computer aided detection systems for lung cancer in computed tomography. Curr. Med. Imaging, 14: 3-18.
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18. Shams, M., S. Hamad, M.A.M. Salem and H.A. Shedeed, 2017. Coronary Artery Vessel Tree Enhancement in Three-Dimensional Computed Tomography Angiography. In: Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017. Hassanien, A.E., K. Shaalan, T. Gaber and M.F. Tolba, Springer International Publishing, New York., pp: 10.
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19. Salem, M.A.M., A. Atef, A. Salah and M. Shams, 2017. Recent Survey on Medical Image Segmentation. In: Handbook of Research on Machine Learning Innovations and Trends. Hassanien, A.E. and T. Gaber, IGI Global, Amsterdam, pp: 41.
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20. Al-Berry, M.N., M.A.M. Salem, H.M. Ebeid, A.S. Hussein and M.F. Tolba, 2017. Directional Multi-Scale Stationary Wavelet-Based Representation for Human Action Classification. In: Handbook of Research on Machine Learning Innovations and Trends. Hassanien , A.E. and T. Gaber, IGI Global, Amsterdam, pp: 25.
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21. RadÊntz, T., M.A. Tahoun, M.A. Megeed, B. Meffert, 2016. Artifact Elimination in Neurosciences. In: Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2016. Hassanien, A.E., K. Shaalan, T. Gaber, A.T. Azar, M.F. Tolba, (Ed.)., Springer International Publishing, New York., pp: 9.
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22. Atteya, M.A., M.M.S Abdel-Megeed, D.A.K.M. Hegazy and M.I. Roushdy, 2016. Image segmentation and particles classification using texture analysis method. Res. Biomed. Eng. 32: 243-252.
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23. Atteya, M.A., M.A.M. Salem, D. Hegazy and M.I. Rou, 2016. Image analysis for particle size recognition of bioprocesses in liquid environment. Asian J. Appl. Sci., 9: 170-177.
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24. Al‐Berry, M.N., M.A.M. Salem, H.M. Ebeid, A.S. Hussein and M.F. Tolba, 2016. Fusing directional wavelet local binary pattern and moments for human action recognition. IET Comput. Vision 10: 153-162.
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