3 papers
cs.LG2025
The added value for MRI radiomics and deep-learning for glioblastoma prognostication compared to clinical and molecular information
D. Abler, O. Pusterla, A. Joye-Kühnis +19
Background: Radiomics shows promise in characterizing glioblastoma, but its added value over clinical and molecular predictors has yet to be proven. This study assessed the added v…
cs.CV2025
A Multi-Centric Anthropomorphic 3D CT Phantom-Based Benchmark Dataset for Harmonization
Mohammadreza Amirian, Michael Bach, Oscar Jimenez-del-Toro +18
Artificial intelligence (AI) has introduced numerous opportunities for human assistance and task automation in medicine. However, it suffers from poor generalization in the presenc…
cs.CV2024
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…