Data Science and Machine Learning in Radiotherapy

This summer school is a hybrid event and is subdivided into an online phase and a hybrid phase (attendance phase or live online phase). Participants can decide to follow the course online and on site or 100% virtually. The online phase with pre-recorded lectures introduces the basics in machine learning, The live online and attendance phases will then expose how machine learning may interfere radiotherapy workflows in detail.

Course leader

Kristina Giske, PhD & Niklas Wahl, PhD

Target group

National and international PhD/MD, MSc or BSc students as well as young scientists and clinical trainees with a background in Physics, Medical Physics, Medical Engineering, Radiation Therapy or Radiology or similar.