Virginia Commonwealth University - Department of Radiation Oncology

We developed an efficient mathematical representation of achievable Pareto optimal OAR dose sparing objectives for lung cancer RT planning. We further incorporated these preferences in a RT planning model for individualized RT dose prediction tailored to pati...

To quantify lesion CNR in simulated digital mammography using the VICTRE pipeline and assess the effects of lesion size, lesion density, breast density, imaging energy, scatter, and ROI methodology.

To evaluate the accuracy and physical fidelity of deep learning–based energy-domain translation in simulated mammography using the VICTRE virtual clinical trial framework, with emphasis on image quality and lesion preservation.

Traditional reliability analyses of linear accelerators (LINACs) have typically focused on individual components using limited datasets, failing to exploit the comprehensive operational insights contained within service logs. This study presents a novel, auto...