Victoria Yu

Papers

Total Citations

H-Index

About

Victoria Yu is a medical physicist and radiation oncology researcher whose work focuses on advancing the precision and efficacy of radiotherapy techniques. Her research spans two interconnected domains: the optimization of beam energy selection for conformal radiotherapy and the development of sophisticated treatment planning algorithms for robotic radiation delivery systems. In her 2014 study, Yu investigated the feasibility of using intermediate 2 MV x-ray energies for extracranial robotic intensity modulated radiation therapy, employing Monte Carlo simulation methods to model dose calculations — a technically demanding contribution that has garnered 14 citations and challenged conventional assumptions about optimal beam energy selection. Her subsequent 2019 work on many-isocenter optimization for robotic radiotherapy addressed a critical clinical barrier: enabling the dosimetric advantages of non-coplanar 4π radiotherapy on robotic platforms without the geometric constraints of conventional C-arm gantry systems, accumulating 10 citations in the field. Together, Yu's contributions reflect a commitment to bridging computational modeling and clinical implementation in radiation oncology. Her work is particularly valuable for researchers and clinicians seeking to push the boundaries of conformal radiotherapy delivery, making her an important voice in the evolving landscape of precision cancer treatment technology.