Author profile
Department of Radiation Oncology, University of California, San Francisco
In multi-target Gamma Knife (GK) radiosurgery, the clinical default plan typically sequences shots based on geometric efficiency to minimize treatment duration. However, this approach ignores the time-dependent biological effects of sublethal damage repair. T...
To address the data scarcity bottleneck in deep learning (DL) dose prediction by establishing a foundation model-based transfer learning framework. We aim to demonstrate that adapting large-scale public priors to institutional data significantly enhances lear...
To develop and evaluate a treatment planning and optimization framework for internal boron neutron capture therapy (internal BNCT) using a miniaturized neutron tube for the treatment of glioblastoma, and to quantify its dosimetric performance relative to phot...
Accurate source localization and anatomical verification are critical for high dose rate (HDR) brachytherapy dose monitoring due to steep dose gradients. Our previous work only triangulated markers for source localization without fully utilizing the projectio...
Current Gamma Knife (GK) planning typically decouples isocenter placement (heuristic-based) from sector duration optimization (SDO). This separation often leads to suboptimal plan quality and prolonged beam-on time (BOT). We propose an Integrated Isocenter an...