Ruiling Gao

Towards trustworthy system latency optimization of Positron Emission Tomography with RBC and GNN

Positron Emission Tomography (PET) is a highly sensitive imaging instrument, and its system latency plays a pivotal role in real-world applications. We propose a novel trustworthy optimization method to reduce PET system latency by leveraging Role-Based Collaboration (RBC) and Graph Neural Networks (GNN). First, we est...