Kyuri Kim

A coarse‐to‐fine framework combining deep learning and Monte Carlo for BNCT patient position optimization toward inverse planning

Abstract Background Boron Neutron Capture Therapy (BNCT) utilizes high linear energy transfer (LET) charged particles from the 10B(n,α)7Li reaction to selectively destroy tumor cells. Unlike conventional radiation therapy, BNCT facilities rely on fixed beam ports, making patient positioning critical in treatment planni...