Abstract: Diffusion models have shown great potential in generating high-quality images for magnetic resonance (MR)-to-computed tomography (CT) translation. However, existing diffusion models have ...
Abstract: Split learning is a distributed learning technique that enables multiple data owners to collaboratively train deep learning models without sharing their raw data, thereby pre-serving privacy ...
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