1 citations · 1 across the 4 of their papers we have counts for
4 papers
GNN-MoE: Context-Aware Patch Routing using GNNs for Parameter-Efficient Domain Generalization
Mahmoud Soliman, Omar Abdelaziz, Ahmed Radwan +2
Domain generalization (DG) seeks robust Vision Transformer (ViT) performance on unseen domains. Efficiently adapting pretrained ViTs for DG is challenging; standard fine-tuning is…
FedPartWhole: Federated domain generalization via consistent part-whole hierarchies
Ahmed Radwan, Mohamed S. Shehata
Federated Domain Generalization (FedDG), aims to tackle the challenge of generalizing to unseen domains at test time while catering to the data privacy constraints that prevent cen…
Universal Medical Imaging Model for Domain Generalization with Data Privacy
Ahmed Radwan, Islam Osman, Mohamed S. Shehata
Achieving domain generalization in medical imaging poses a significant challenge, primarily due to the limited availability of publicly labeled datasets in this domain. This limita…
Addressing Bias Through Ensemble Learning and Regularized Fine-Tuning
Ahmed Radwan, Layan Zaafarani, Jetana Abudawood +2
Addressing biases in AI models is crucial for ensuring fair and accurate predictions. However, obtaining large, unbiased datasets for training can be challenging. This paper propos…