Richard R. Wargo, MS

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.