most citedAssessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge

19 citations · 35 across the 3 of their papers we have counts for

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cs.LG2022

Evaluation and Analysis of Different Aggregation and Hyperparameter Selection Methods for Federated Brain Tumor Segmentation

Ece Isik-Polat, Gorkem Polat, Altan Kocyigit +1

Availability of large, diverse, and multi-national datasets is crucial for the development of effective and clinically applicable AI systems in the medical imaging domain. However,…

cs.LG2021★ 16 cited

ARFED: Attack-Resistant Federated averaging based on outlier elimination

Ece Isik-Polat, Gorkem Polat, Altan Kocyigit

In federated learning, each participant trains its local model with its own data and a global model is formed at a trusted server by aggregating model updates coming from these par…