Lulin Yuan, PhD

We developed an efficient mathematical representation of achievable Pareto optimal OAR dose sparing objectives for lung cancer RT planning. We further incorporated these preferences in a RT planning model for individualized RT dose prediction tailored to pati...

The purpose of this study is to improve the performance of diffusion-based neural networks by conditioning using representations from pre-trained models. Conditioning with a 3D encoder enforces volumetric consistency across slice-wise 2D predictions, while co...