Author profile
Department of Radiation Oncology, University of California, San Francisco
Accurate dose accumulation in cervical cancer radiotherapy combining external-beam radiotherapy (EBRT) and High-Dose-Rate brachytherapy (HDR) requires reliable Deformable-Image-Registration (DIR) between two drastically different planning CTs. Besides large a...
Stereotactic radiosurgery (SRS) reirradiation for locally recurrent brain metastases (BM) utilizes rigid image registration (RIR) for cumulative dose estimation to balance dose escalation against the risk of adverse radiation effects such as radionecrosis. Th...
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...
Proton therapy offers superior therapeutic ratio due to its favorable dose distribution, but accurate dose calculation remains challenging. Current methods rely on either pencil-beam algorithms (fast but inaccurate in heterogeneous media) or Monte Carlo simul...
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...
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...
The rapid advancement of Vision-Language Models (VLMs) offers transformative potential for automated radiology; however, their ability to interpret 3D brain tumor imaging remains underexplored. This study introduces a rigorous benchmark to evaluate the diagno...
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...
PEG dependence is widely considered a consequence of head and neck re-irradiation (HN re-RT), yet PEG persistence around treatment is frequently misinterpreted as durable swallowing toxicity. We introduce a time-anchored definition of persistent PEG dependenc...
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...