Noa Antonissen

Postdoctoral Researcher

Noa Antonissen is a postdoctoral researcher in the Diagnostic Image Analysis Group (DIAG) and a radiology resident at the Department of Medical Imaging of Radboudumc.

She obtained her Bachelor’s and Master’s degree in Medicine at the Radboud University in 2021. During her studies she worked as a medical student at the Medical Imaging department and was involved in multiple AI-driven detection projects.

In May 2022, she joined DIAG as a PhD candidate to work on the NELSON-POP project: multi-source data approach for personalized outcome prediction in lung cancer screening. This project focuses on improving the efficiency of lung cancer screening by using AI algorithms. Noa is supervised by Colin Jacobs, Hester Gietema, Cornelia Schaefer-Prokop and Mathias Prokop.

In April 2026, she started her radiology residency and continued her research as a part-time postdoctoral researcher, supervised by Colin Jacobs.

Current research projects:
Member of: