Aimilia Gastonuioti, PhD, and colleagues published “Incorporating Robustness to Imaging Physics into Radiomic Feature Selection for Breast Cancer Risk Estimation,” which appeared in Cancers. The paper was a collaborative effort with scientists from University of Pennsylvania, Mayo Clinic and University…

Aimilia Gastounioti, PhD, assistant professor of radiology, and colleagues recently published a narrative review synthesizing the current state-of-the-art applications of artificial intelligence (AI) in mammographic phenotyping of breast cancer risk. They covered the fundamentals of AI and explored the computing…

Aimilia Gastounioti, PhD, and Debbie L. Bennett, MD, are editing a Tomography Special Issue focusing on radiomic and AI developments for breast density evaluation, breast cancer risk assessment, breast cancer detection and prognosis. Deadline for manuscript submissions: October 31, 2022

Aimilia Gastounioti, PhD, assistant professor of radiology, and colleagues published “Fully Automated Volumetric Breast Density Estimation from Digital Breast Tomosynthesis” in Radiology, with an accompanying editorial by Martin Yaffe, PhD, and press release by RSNA and AuntMinnie. Read the paper…