1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2024
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…
eess.IV2024★ 1 cited
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…
cs.LG2024
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…