UC San Diego

To develop and evaluate an automated, log-file–based MLC positional accuracy QA method for routine and longitudinal assessment of MLC performance on the ViewRay MRIdian MR-Linac system.

To develop and evaluate a log-file–based PSQA method for the ViewRay MRIdian MR-Linac that incorporates actual machine delivery information to improve the robustness of adaptive treatment plan verification.

This work focuses on implementing a GPU-accelerated multi-criteria optimization (MCO) framework for HDR brachytherapy, including advanced applicators such as Direction-Modulated Brachytherapy (DMBT), and developing a graphical user interface (GUI) to enable c...

The study aims to develop a parameterized brachytherapy source geometry modeling framework for GPU-based Monte Carlo particle transport simulation with an integrated DICOM workflow.

This study aims to develop and evaluate a framework to generate fully automated prostate HDR brachytherapy plans using predicted dose from deep learning model, reducing planner dependence and planning time.

Physics plan and chart review is one of the most effective QA processes to identify high-severity errors in radiotherapy treatments; mastering it is crucial for our residents. However, exposure to such errors during training is limited, making it challenging...

Mentoring relationships can develop organically, arise from formal matching or from chance encounters that reveal a connection or common purpose between two people. Speed Mentoring is an event designed to support all of these approaches by bringing together s...

Automation has become integral to modern radiation oncology—including image registration, contouring, planning, adaptive workflows, and quality assurance (QA). While these systems improve efficiency, they also introduce new vulnerabilities when automation fai...