| A review on brain tumor diagnosis from MRI images: Practical implications, key achievements, and lessons learned MK Abd-Ellah, AI Awad, AAM Khalaf, HFA Hamed Magnetic resonance imaging 61, 300-318, 2019 | 266 | 2019 |
| Two-phase multi-model automatic brain tumour diagnosis system from magnetic resonance images using convolutional neural networks MK Abd-Ellah, AI Awad, AAM Khalaf, HFA Hamed EURASIP Journal on Image and Video Processing 2018 (1), 1-10, 2018 | 151 | 2018 |
| Design and implementation of a computer-aided diagnosis system for brain tumor classification MK Abd-Ellah, AI Awad, AAM Khalaf, HFA Hamed 2016 28th International conference on microelectronics (ICM), 73-76, 2016 | 85 | 2016 |
| Forecasting effluent and performance of wastewater treatment plant using different machine learning techniques M El-Rawy, MK Abd-Ellah, H Fathi, AKA Ahmed Journal of Water Process Engineering 44, 102380, 2021 | 73 | 2021 |
| Systematic survey of advanced metering infrastructure security: Vulnerabilities, attacks, countermeasures, and future vision AAMK MostafaShokry, Ali Ismail Awad, Mahmoud Khaled Abd-Ellah Future Generation Computer Systems, 1-21, 2022 | 47* | 2022 |
| Classification of brain tumor MRIs using a kernel support vector machine MK Abd-Ellah, AI Awad, AAM Khalaf, HFA Hamed Building Sustainable Health Ecosystems: 6th International Conference on Well …, 2016 | 46 | 2016 |
| Huffman image compression incorporating DPCM and DWT M Abo-Zahhad, RR Gharieb, SM Ahmed, MK Abd-Ellah Journal of Signal and Information Processing 6 (2), 123-135, 2015 | 33 | 2015 |
| Forecasting of municipal solid waste multi-classification by using time-series deep learning depending on the living standard MKAE Ahmed Khaled Abdella Ahmed, Amira Mofreh Ibraheem Results in Engineering, 2022 | 25 | 2022 |
| TPUAR-Net: Two parallel U-Net with asymmetric residual-based deep convolutional neural network for brain tumor segmentation MK Abd-Ellah, AAM Khalaf, AI Awad, HFA Hamed Image Analysis and Recognition: 16th International Conference, ICIAR 2019 …, 2019 | 23 | 2019 |
| Parallel deep CNN structure for glioma detection and classification via brain MRI Images MK Abd-Ellah, AI Awad, HFA Hamed, AAM Khalaf 2019 31st International Conference on Microelectronics (ICM), 304-307, 2019 | 20 | 2019 |
| Automatic diagnosis of common carotid artery disease using different machine learning techniques MK Abd-Ellah, AAM Khalaf, RR Gharieb, DA Hassanin Journal of Ambient Intelligence and Humanized Computing 14 (1), 113-129, 2023 | 15 | 2023 |
| Assessment of potential security risks in advanced metering infrastructure using the OCTAVE Allegro approach AAMK MostafaShokry, Ali Ismail Awad, Mahmoud Khaled Abd-Ellah Computers and Electrical Engineering 108 (108667), 1-14, 2023 | 12* | 2023 |
| Brain tumor automatic detection from MRI images using transfer learning model with deep convolutional neural network E Bayoumi, AAM Khalaf, RR Gharieb Journal of Advanced Engineering Trends 41 (2), 19-30, 2021 | 8 | 2021 |
| Forecasting of Groundwater Quality by Using Deep Learning Time Series Techniques in an Arid Region MKAE Ahmed Khaled Abdella Ahmed,Mustafa El-Rawy,Amira Mofreh Ibraheem,Nassir ... Sustainability 15 (8), 6529, 2023 | 7 | 2023 |
| Deep convolutional neural networks: foundations and applications in medical imaging MK Abd-Ellah, AI Awad, AAM Khalaf, HFA Hamed Deep learning in computer vision, 233-260, 2020 | 5 | 2020 |
| Brain Image Compression Techniques M Abo-Zahhad, RR Gharieb, SM Ahmed, M Khaled International Journal of Engineering Trends and Technology (IJETT) 19 (2), 2015 | 5 | 2015 |
| CORAS Model for Security Risk Assessment in Advanced Metering Infrastructure Systems AAMK Mostafa Shokry, Ali Ismail Awad, Mahmoud Khaled Abd-Ellah 8th International Conference on Advanced Intelligent Systems and Informatics …, 2022 | 4* | 2022 |
| Automatic localization of Common Carotid Artery in ultrasound images using Deep Learning D Hassanin, A Khalaf, RR Gharrieb Journal of Advanced Engineering Trends 40 (2), 127-135, 2021 | 3 | 2021 |
| Automatic brain-tumor diagnosis using cascaded deep convolutional neural networks with symmetric U-Net and asymmetric residual-blocks MK Abd-Ellah, AI Awad, AAM Khalaf, AM Ibraheem Scientific reports 14 (1), 9501, 2024 | 2 | 2024 |
| COVID-19 classification based on a deep learning and machine learning fusion technique using chest CT images GM Salama, A Mohamed, MK Abd-Ellah Neural Computing and Applications, 2023 | 2 | 2023 |
