3.1k citations · 3.1k across the 2 of their papers we have counts for
2 papers
eess.IV2021
Unsupervised Domain Adaptation for Small Bowel Segmentation using Disentangled Representation
Seung Yeon Shin, Sungwon Lee, Ronald M. Summers
We present a novel unsupervised domain adaptation method for small bowel segmentation based on feature disentanglement. To make the domain adaptation more controllable, we disentan…
cs.CY2020★ 3.1k cited
The Future of Digital Health with Federated Learning
Nicola Rieke, Jonny Hancox, Wenqi Li +14
Data-driven Machine Learning has emerged as a promising approach for building accurate and robust statistical models from medical data, which is collected in huge volumes by modern…