High-resolution portrait of a young woman with blue eyes and strawberry blonde hair at the SIIM Annual Meeting, showcasing attendees engaging in medical imaging and radiology innovations, vibrant event atmosphere.

Event Speaker

Stefania Moroianu, MSci 

PhD Candidate, Applied Physics

Stanford University

Stefania Moroianu is a PhD candidate in Applied Physics at Stanford University, where she develops synthetic data generation methods to enhance the robustness and fairness of radiographic AI models. Advised by Dr. Akshay Chaudhari, she conducts research within the Machine Intelligence for Medical Imaging lab and the Stanford Center for Artificial Intelligence in Medicine & Imaging. Stefania previously earned her B.A. in Natural Sciences and M.Sci. in Theoretical Physics from the University of Cambridge. Her research background includes work with the Cambridge Artificial Intelligence Group, the University of Tokyo, and Caltech.

Sessions

Synthetic Data Generation: Unlocking New Horizons for Medical Imaging AI

Presented by Merel Huisman, MD PhD, Martin J. Willemink, MD, PhD , Stefania Moroianu, MSci  in Cardiology, Dermatology, Ophthalmology, Pathology, Radiology Jun 12, 2026 | 1:00 PM.

Artificial intelligence in medical imaging continues to advance, but progress is often slowed by limited access to large, diverse, and well-annotated datasets. Privacy concerns, regulatory requirements, and institutional data silos make it difficult to share real-world imaging data at scale. This session addresses that gap by introducing attendees to synthetic imaging data as a practical…