Author profile
University of California, San Francisco
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...
Respiratory motion management remains a challenge for radiotherapy in abdominal regions. This study aims to develop and validate a robust framework that correlates external body surface motion with internal liver tumor movement, enabling dose-free, real-time...
With recent shifts in the federal funding landscape, many investigators are facing new challenges in supporting their research. An analysis of 2025 NIH data reveals a steep decline year-over-year in new grants awarded to AAPM members, raising serious concerns...
Pre-treatment heterogeneity in vascular architecture may contribute to differential susceptibility to radiation necrosis (RN), a dose-limiting toxicity of stereotactic radiosurgery (SRS). Using routine pre-treatment MRI, we introduce a novel graph-based analy...