CARA Lab's segmentation algorithm OCT-AID published in European Heart Journal - Digital Health
The first results of our deep learning based multiclass OCT segmentation have been published!
News
Jan-Quinten Mol successfully defends PhD thesis
On March 14, Jan-Quinten Mol successfully defended his PhD thesis titled "Identifying novel risk factors for recurrent myocardial infarction."
Systematic review published in European Heart Journal - Digital Health
Ruben van der Waerden published his first first author paper: a comprehensive review on AI solutions for the analysis of intracoronary OCT
Interview with CARA Lab in "De Cardioloog"
Prof. Dr. Niels van Royen and Dr. Jos Thannhauser gave an interview in "De Cardioloog" journal. Read it by following this link!
ICAI Day explores AI's impact on Healthcare
Colin Jacobs, Henkjan Huisman, Jos Thannhauser, and Luc Evers organized the ICAI Day on AI and Healthcare in Nijmegen.
Join our research team! Exciting PhD opportunities at AmsterdamUMC and Radboudumc
We are looking for two motivated PhD Candidates to join the CARA lab!
DIAG Day marks successful kick-off of CARA Lab
On May 31, the Diagnostic Image Analysis Group (DIAG) organized a successful DIAG Day, celebrating the launch of the CARA Lab. The event featured a mini symposium on OCT analysis and a stimulating artifact detection challenge.
Rick Volleberg wins award for Best Personalised Vascular Care project at EuroPCR
At the EuroPCR conference (14-17 May, 2023), Rick Volleberg has won the award for Best Personalised Vascular Care project with his abstract entitled "Sex-related differences in FFR-negative non-culprit lesions after myocardial infarction".
Four new AI labs start with a total of 16 million euros from NWO and companies
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.