Lars Leijten is a PhD Candidate at the Medical Imaging department of Radboudumc, where he works in the Diagnostic Image Analysis Group (DIAG). Lars is focused on developing AI solutions for Intervention Oncology as part of the IMAGIO project. Specifically, he is working on developing an automatic malignancy risk estimation tool for lung nodules using CT and FDG-PET/CT imaging. His research is supervised by a team consisting of Colin Jacobs, Roel Verhoeven, Erik Aarntzen, and Erik van der Heijden.
Lars holds a Bachelor's and Master's degree in Biomedical Sciences from Radboud University, where he completed projects in Medical Deep Learning and Health Technology Assessment. His work involved simulating scoliosis CT data and conducting a prospective cost-effectiveness analysis of Minimally Invasive Cervical Esophagectomy.
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