97 citations · 115 across the 3 of their papers we have counts for
3 papers
Clinnova Federated Learning Proof of Concept: Key Takeaways from a Cross-border Collaboration
Julia Alekseenko, Bram Stieltjes, Michael Bach +4
Clinnova, a collaborative initiative involving France, Germany, Switzerland, and Luxembourg, is dedicated to unlocking the power of precision medicine through data federation, stan…
DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images
Michael Götz, Christian Weber, Franciszek Binczyk +7
We propose a new method that employs transfer learning techniques to effectively correct sampling selection errors introduced by sparse annotations during supervised learning for a…
Assessing radiomics feature stability with simulated CT acquisitions
Kyriakos Flouris, Oscar Jimenez-del-Toro, Christoph Aberle +7
Medical imaging quantitative features had once disputable usefulness in clinical studies. Nowadays, advancements in analysis techniques, for instance through machine learning, have…