As many as four completely new AI labs will start within Radboud university medical center with a total funding of 16 million euros from NWO and companies. The labs will develop AI for accurate risk assessment of a narrowed coronary artery, better detection and treatment of prostate cancer, measurements at home of symptoms of Parkinson's disease and automation in the analysis of scans for lung cancer.
Kiran was awarded for his publication on utilizing deep learning algorithms for estimating lung cancer risk from CT images.
Findings from the PI-CAI challenge presented at RSNA 2022 and featured on RSIP Computer Vision News.
On November 2, Radboudumc AI for health organized a symposium on the impact of AI on healthcare.
On October 18th at 15:00h, the winners of the STOIC2021 COVID-19 AI challenge will be announced and they will present their solutions.
Alessa Hering obtained her PhD thesis on deep learning for image registration.
Applications for The fourth edition of the AI for Health course, starting on the 3rd of February 2023 are now open. Please apply before the 1st of December to join the course. The AI for Health program aims to advance AI innovations in healthcare, by providing an AI course for …
Joep Bogaerts' presentation on the international Delphi study won the second prize at the European Congress of Pathology.
Bart Liefers will defend his thesis containing work on deep learning algorithms for automated analysis of retinal images.
Grzegorz Chlebus will defend his thesis containing work on segmentation of liver, liver tumors and prostate in CT and MRI on August 23, 2022.