Dré Peeters successfully defends PhD thesis
Dré Peeters successfully defended his PhD thesis on how AI can support radiologists in reliably estimating the probability of lung cancer.
Dré Peeters successfully defended his PhD thesis on how AI can support radiologists in reliably estimating the probability of lung cancer.
COMPAYL++ at MICCAI 2026: a record number of submissions and a full day of computational pathology.
Landmark, international study of 21,252 patients (46 cities, 22 countries) with suspected prostate cancer demonstrates the potential of AI for prostate cancer detection on MRI, while revealing critical challenges for safe clinical implementation.
Anoeska Schipper successfully defended her PhD thesis on ML and LLMs for appendicitis risk estimation and hemoglobinopathy screening.
Daan Geijs successfully defended his PhD thesis on automating skin cancer assessment.
Alessa Hering advances to Talent Track phase 2 within the Radboudumc Scientific Career Path.
After a long and hot summer, it is time for the DIAG newsletter again!
A new diagnostically calibrated deep learning framework linking prostate MRI image quality scores to diagnostic performance is now published!
Sander Moonemans and Sebastiaan Ram received the Best Spotlight Award at MIDL 2026 for their presentation on Democratising Pathology Co-Pilots.