82 citations · 278 across the 14 of their papers we have counts for
4 papers · 1 filter
Mask-Guided Multi-Channel SwinUNETR Framework for Robust MRI Classification
Smriti Joshi, Lidia Garrucho, Richard Osuala +2
Breast cancer is one of the leading causes of cancer-related mortality in women, and early detection is essential for improving outcomes. Magnetic resonance imaging (MRI) is a high…
Single Image Test-Time Adaptation via Multi-View Co-Training
Smriti Joshi, Richard Osuala, Lidia Garrucho +4
Test-time adaptation enables a trained model to adjust to a new domain during inference, making it particularly valuable in clinical settings where such on-the-fly adaptation is re…
Federated learning in low-resource settings: A chest imaging study in Africa -- Challenges and lessons learned
Jorge Fabila, Lidia Garrucho, Víctor M. Campello +2
This study explores the use of Federated Learning (FL) for tuberculosis (TB) diagnosis using chest X-rays in low-resource settings across Africa. FL allows hospitals to collaborati…
Federated nnU-Net for Privacy-Preserving Medical Image Segmentation
Grzegorz Skorupko, Fotios Avgoustidis, Carlos Martín-Isla +11
The nnU-Net framework has played a crucial role in medical image segmentation and has become the gold standard in multitudes of applications targeting different diseases, organs, a…