Qiuwen Wu, PhD

Reinforcement learning (RL) constitutes a strong candidate for AI-guided treatment planning for two distinguishing reasons: it differs from greedy algorithms by optimizing strategy over the complete history of a Markovian process; and it contrasts with superv...

VMAT optimization is a non-convex problem with tightly coupled parameters and machine constraints, which limits the development of transparent and extensible frameworks outside commercial treatment planning systems. This work introduces a new perspective on V...

RapidArc Dynamic (RAD) is a novel treatment delivery technique that combines rotational arc therapy with static angle modulated ports (STAMPs). This study evaluates the feasibility, dosimetric performance, and delivery efficiency of RAD for single-isocenter m...