A Two-Step Machine Learning Model for Stage-Specific Disease Survivability Prediction. - Aya Farrag; Zubair Md Fadlullah; Mostafa M. Fouda (IoTaIS, 2022)

Mammogram Tumor Segmentation with Preserved Local Resolution: An Explainable AI System. - Aya Farrag; Gad Gad; Zubair Md Fadlullah; Mostafa M. Fouda (GLOBECOM, 2023)

Communication-Efficient Federated Learning in Drone-Assisted IoT Networks: Path Planning and Enhanced Knowledge Distillation Techniques. - Gad Gad; Aya Farrag; Zubair Md Fadlullah; Mostafa M. Fouda (PIMRC, 2023)

Survival-Based Treatment Planning Using Stage-Specific Machine Learning Models. - Aya Farrag; Zubair Md Fadlullah; Mostafa M. Fouda; Nabil Sharaf Almalki (IEEE Access, 2023)

An Explainable AI System for Medical Image Segmentation With Preserved Local Resolution: Mammogram Tumor Segmentation. - Aya Farrag; Gad Gad; Zubair Md Fadlullah; Mostafa M. Fouda; Maazen Alsabaan (IEEE Access, 2023)

Joint Self-Organizing Maps and Knowledge-Distillation-Based Communication-Efficient Federated Learning for Resource-Constrained UAV-IoT Systems. - Gad Gad; Aya Farrag; Ahmed AboElfotouh; Khaled Bedda; Zubair Md Fadlullah; Mostafa M. Fouda (IEEE Internet Things J., 2024)