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20232026
most citedTowards Case-based Interpretability for Medical Federated Learning

1 citations · 1 across the 5 of their papers we have counts for

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eess.IV2024

FedGS: Federated Gradient Scaling for Heterogeneous Medical Image Segmentation

Philip Schutte, Valentina Corbetta, Regina Beets-Tan +1

Federated Learning (FL) in Deep Learning (DL)-automated medical image segmentation helps preserving privacy by enabling collaborative model training without sharing patient data. H…

eess.IV2023

Interpretability-guided Data Augmentation for Robust Segmentation in Multi-centre Colonoscopy Data

Valentina Corbetta, Regina Beets-Tan, Wilson Silva

Multi-centre colonoscopy images from various medical centres exhibit distinct complicating factors and overlays that impact the image content, contingent on the specific acquisitio…