Dr. T. (Tanja) Alderliesten

I lead the AI-based innovations research group at the department of Radiation Oncology of the LUMC. The vision for my group is to truly co-develop new computer science innovations, together with both fundamental computer scientists / mathematicians / physicists and clinical end users, thereby maximizing the synergetic potential of these fields. My research group’s activities can be subdivided in three main pillars: (semi-)automated treatment planning, medical image analysis, and explainable AI for clinical decision support through predictive modeling.
Further, I am the Liaison Officer of the LUMC CAIRELab (Clinical Artificial Intelligence Implementation and Research Lab) and co-coordinator of the subtheme Image-Guided Cancer Diagnostics & Therapy of the LUMC theme for innovation Cancer.

My research focus is of translational nature, bridging mathematics and computer science, and medicine. Previous and ongoing research experience includes image-guided radiation treatment, medical image analysis, (semi-)automated treatment planning, and (explainable) artificial intelligence (AI) for clinical decision support.
I lead the AI-based Innovations research group at the department of Radiation Oncology of the LUMC, with which currently 15 PhD students are associated.
My vision is to innovate healthcare, particularly (radiation) oncology, from a multidisciplinary treatment perspective, by co-creating and using AI innovations to provide solutions and answers to clinical problems and questions, all the while supporting the entire process from the algorithmic cradle to clinical adulthood.
Various works received various types of awards, both from the technical domain and the clinical domain.
The (co-)acquired research grant funding over the last 5 years totals ±€8M.