4.2k citations · 4.2k across the 8 of their papers we have counts for
3 papers · 1 filter
Tackling Heterogeneity in Medical Federated learning via Vision Transformers
Erfan Darzi, Yiqing Shen, Yangming Ou +2
Optimization-based regularization methods have been effective in addressing the challenges posed by data heterogeneity in medical federated learning, particularly in improving the…
Fed-Safe: Securing Federated Learning in Healthcare Against Adversarial Attacks
Erfan Darzi, Nanna M. Sijtsema, P. M. A van Ooijen
This paper explores the security aspects of federated learning applications in medical image analysis. Current robustness-oriented methods like adversarial training, secure aggrega…
Image biomarker standardisation initiative
Alex Zwanenburg, Stefan Leger, Martin Vallières +1
The image biomarker standardisation initiative (IBSI) is an independent international collaboration which works towards standardising the extraction of image biomarkers from acquir…