Koen Vijverberg is a master's student in Data Science from the Radboud University, doing his research internship at the Diagnostic Image Analysis Group. Within the DIAG group his research focuses on candidate selection of pulmonary nodules, supervised by Colin Jacobs. In this research he will mostly work with deep-learning approaches such as R-CNN's and FCN's. Koen Vijverberg has a BSc. in Computer Science from the Radboud University, and earlier researched cerebral white-matter hyperintensity detection during his bachelor's thesis at DIAG.