Efficient deep learning models for brain tumor detection with segmentation and data augmentation techniques. - Mohamed R. Shoaib; Mohamed R. Elshamy; Taha E. Taha; Adel S. El-Fishawy; Fathi E. Abd El-Samie (Concurr. Comput. Pract. Exp., 2022)

Hybrid classification structures for automatic COVID-19 detection. - Mohamed R. Shoaib; Heba M. Emara; Mohamed Elwekeil; Walid El Shafai; Taha E. Taha; Adel S. El-Fishawy; El-Sayed M. El-Rabaie; Fathi E. Abd El-Samie (J. Ambient Intell. Humaniz. Comput., 2022)

Automatic modulation classification with 2D transforms and convolutional neural network. - Hanan S. Ghanem; Mohamed R. Shoaib; Safaa El-Gazar; Heba M. Emara; Walid El Shafai; Samia Abd El-Moneim; Adel S. El-Fishawy; Taha E. Taha; Hesham F. A. Hamed; Ghada M. El Banby; Maha Elsabrouty; El-Sayed M. El-Rabaie; et al. (Trans. Emerg. Telecommun. Technol., 2022)

A Survey on the Applications of Frontier AI, Foundation Models, and Large Language Models to Intelligent Transportation Systems. - Mohamed R. Shoaib; Heba M. Emara; Jun Zhao 007 (ICCA, 2023)

Deepfakes, Misinformation, and Disinformation in the Era of Frontier AI, Generative AI, and Large AI Models. - Mohamed R. Shoaib; Zefan Wang; Milad Taleby Ahvanooey; Jun Zhao 007 (ICCA, 2023)

Revolutionizing Global Food Security: Empowering Resilience through Integrated AI Foundation Models and Data-Driven Solutions. - Mohamed R. Shoaib; Heba M. Emara; Jun Zhao 007 (CoRR, 2023)

Automated diagnosis of EEG abnormalities with different classification techniques. - Essam Abdellatef; Heba M. Emara; Mohamed R. Shoaib; Fatma E. Ibrahim; Mohamed Elwekeil; Walid El-Shafai; Taha E. Taha; Adel S. El-Fishawy; El-Sayed M. El-Rabaie; Ibrahim M. Eldokany; Fathi E. Abd El-Samie (Medical Biol. Eng. Comput., 2023)

p-YOLOv8: Efficient and Accurate Real-Time Detection of Distracted Driving. - Mohamed R. Elshamy; Heba M. Emara; Mohamed R. Shoaib; Abdel-Hameed A. Badawy (HPEC, 2024)

Comprehensive Evaluation of Vision Transformer in MRI-based Brain Tumor Detection. - Alaa E. Ahmed; Muhammad A. Elwany; Muhammad A. Mahmoud; Mohamed A. Fouad; Muhammad A. Al-Ghareeb; Tarek Dahab; Mohamed R. Shoaib; Ahmed F. Abdallah; Gamal A. El-Sheikh; Heba M. Emara (ICCA, 2024)

Detecting Fraud in Food Delivery: Leveraging Amazon Web Services' Random Cut Forest and XGBoost Models for Enhanced Security. - Mohamed R. Shoaib; Mohamed Taher; Taher Abdelhameed; Tarek Dahab (ICCA, 2024)

The Convergence of Artificial Intelligence Foundation Models and 6G Wireless Communication Networks. - Mohamed R. Shoaib; Zefan Wang; Jun Zhao 007 (VTC Spring, 2024)

Deep learning innovations in diagnosing diabetic retinopathy: The potential of transfer learning and the DiaCNN model. - Mohamed R. Shoaib; Heba M. Emara; Jun Zhao 007; Walid El-Shafai; Naglaa F. Soliman; Ahmed S. Mubarak; Osama A. Omer; Fathi E. Abd El-Samie; Hamada Esmaiel (Comput. Biol. Medicine, 2024)

Revolutionizing diabetic retinopathy diagnosis through advanced deep learning techniques: Harnessing the power of GAN model with transfer learning and the DiaGAN-CNN model. - Mohamed R. Shoaib; Heba M. Emara; Ahmed S. Mubarak; Osama A. Omer; Fathi E. Abd El-Samie; Hamada Esmaiel (Biomed. Signal Process. Control., 2025)