Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases DM Ibrahim, NM Elshennawy, AM Sarhan Computers in biology and medicine 132, 104348, 2021 | 348 | 2021 |
Deep-pneumonia framework using deep learning models based on chest X-ray images NM Elshennawy, DM Ibrahim Diagnostics 10 (9), 649, 2020 | 183 | 2020 |
A deep learning architecture for multi-class lung diseases classification using chest X-ray (CXR) images GMM Alshmrani, Q Ni, R Jiang, H Pervaiz, NM Elshennawy Alexandria Engineering Journal 64, 923-935, 2023 | 163 | 2023 |
Edge U-Net: Brain tumor segmentation using MRI based on deep U-Net model with boundary information AMG Allah, AM Sarhan, NM Elshennawy Expert Systems with Applications 213, 118833, 2023 | 108 | 2023 |
Utilizing deep learning models in CSI-based human activity recognition E Shalaby, N ElShennawy, A Sarhan Neural Computing and Applications, 1-18, 2022 | 72 | 2022 |
Classification of brain MRI tumor images based on deep learning PGGAN augmentation AM Gab Allah, AM Sarhan, NM Elshennawy Diagnostics 11 (12), 2343, 2021 | 56 | 2021 |
HLR-net: a hybrid lip-reading model based on deep convolutional neural networks AM Sarhan, NM Elshennawy, DM Ibrahim Computers, Materials and Continua 68 (2), 1531-49, 2021 | 25 | 2021 |
Parallel approaches to improve the speed of chaotic-maps-based encryption using GPU A Elrefaey, A Sarhan, NM El-Shennawy Journal of Real-Time Image Processing, 1-10, 2021 | 18 | 2021 |
A proposed modified proportional fairness scheduling (mpf-bcqi) algorithm with best cqi consideration for lte-a networks MA Ibraheem, N ElShennawy, AM Sarhan 2018 13th International Conference on Computer Engineering and Systems …, 2018 | 15 | 2018 |
Deep learning sign language recognition system based on wi-fi csi MRM Bastwesy, NM ElShennawy, MTF Saidahmed Int. J. Intell. Syst. Appl 12 (6), 33-45, 2020 | 13 | 2020 |
Early prediction of chronic kidney disease based on ensemble of deep learning models and optimizers D Saif, AM Sarhan, NM Elshennawy Journal of electrical systems and information technology 11 (1), 17, 2024 | 12 | 2024 |
Deep-kidney: an effective deep learning framework for chronic kidney disease prediction D Saif, AM Sarhan, NM Elshennawy Health Information Science and Systems 12 (1), 3, 2023 | 12 | 2023 |
Modified Proportional Fair Scheduling Algorithm for Heterogeneous LTE-A Networks. NM Elshennawy International Journal of Interactive Mobile Technologies 14 (10), 2020 | 12 | 2020 |
Deep-Risk: Deep Learning-Based Mortality Risk Predictive Models for COVID-19 NM Elshennawy, DM Ibrahim, AM Sarhan, M Arafa Diagnostics 12 (8), 1847, 2022 | 10 | 2022 |
Improving Date Fruit Classification Using CycleGAN-Generated Dataset. DM Ibrahim, NM Elshennawy CMES-Computer Modeling in Engineering & Sciences 131 (1), 2022 | 10 | 2022 |
Evaluating QoS using scheduling algorithms in MPLS/VPN/WiMAX networks HH Elkarash, NM Elshennawy, EA Saliam 2017 13th International Computer Engineering Conference (ICENCO), 14-19, 2017 | 10 | 2017 |
An improved energy-efficient directed diffusion routing protocol for wireless sensor network SG El-Esawy, NM Elshennawy, NA Elfishawy 2018 14th International Computer Engineering Conference (ICENCO), 64-67, 2018 | 6 | 2018 |
Hyper-Dense_Lung_Seg: Multimodal-Fusion-Based Modified U-Net for Lung Tumour Segmentation Using Multimodality of CT-PET Scans N Alshmrani, G. M., Ni, Q., Jiang, R., & Muhammed Diagnostics 13, 22, 2023 | 5* | 2023 |
A dynamic uplink scheduling scheme for WiMAX networks NM El-Shennawy, MN El-Derini, MA Youssef, MM Fahmy 2013 8th International Conference on Computer Engineering & Systems (ICCES …, 2013 | 5 | 2013 |
Quadratic proportional fair scheduling algorithm for LTE-a networks NM Elshennawy Int. J. Eng. Res. Technol 12 (11), 1957-1963, 2019 | 3 | 2019 |