From the 1 of 2 linked papers with an AI index.
2 papers
cs.LG2026
Energy-Efficient Federated Learning via Adaptive Encoder Freezing for MRI-to-CT Conversion: A Green AI-Guided Research
Ciro Benito Raggio, Lucia Migliorelli, Nils Skupien +6
The paper proposes an adaptive encoder‑freezing technique for federated learning that reduces energy use and CO2 emissions while preserving MRI‑to‑CT conversion quality.
eess.IV2025
FedSynthCT-Brain: A Federated Learning Framework for Multi-Institutional Brain MRI-to-CT Synthesis
Ciro Benito Raggio, Mathias Krohmer Zabaleta, Nils Skupien +6
The generation of Synthetic Computed Tomography (sCT) images has become a pivotal methodology in modern clinical practice, particularly in the context of Radiotherapy (RT) treatmen…