Thursday 28 November

11:45-12:30  Lunch   
12:30-14:30 Lectures
12:30-13:30 Principles of machine learning
Alessandro Sbrizzi (UMCU)
13:30-14:30 Introduction to deep learning
Hugo Kuijf (ISI, UMCU)
14:30-15:00  Coffee/tea break   
15:00-17:00 Lectures
15:00-15:45 Deep learning methods for iterative reconstruction & optimization
Niek Huttinga (UMCU)
15:45-16:30 Interpretability/Uncertainty
Louis van Harten (UvA)
16:30-17:00 Hard -and software for deep learning
Mark Savenije (UMCU)

Friday 29 November
Radiotherapy applications

8:30-8:55  Morning coffee   
8:55-10:45 Lectures
8:55-9:00 Introduction of deep learning in Radiotherapy
Nico van den Berg (UMCU)
9:00-10:00 Image-to-image translation: Synthetic-CT generation and CBCT correction
Matteo Maspero (UMCU)
10:00-10:45 Deep learning-based auto contouring
Mark Savenije (UMCU)
10:45-11:15  Coffee/tea break   
11:15-12:45 Lectures
11:15-12:00 Deep learning-based image registration
Koen Eppenhof (Faculty of Bioengineering, TUE)
12:00-12:45 Deep learning in the radiotherapy treatment planning and delivery pipeline
Charis Kontaxis (UMCU)
12:45-13:30  Lunch   
13:30-15:00 Lectures
13:30-14:15 Deep learning for image reconstruction: MRI
Bjorn Stemkens (UMCU)
14:15-15:00 Deep learning based radiomics
Nico van den Berg (UMCU)
15:00-15:30  Coffee/tea/refreshments break   
15:30-17:00 Considerations for clinical implementation
15:30-16:00 A clinical computer scientist's perspective
Gijsbert Bol (UMCU)
16:00-16:30 A medical physicist's perspective
Anna Dinkla (Radiotherapy, A-UMC)
16:30-17:00 A medical doctor's perspective
Joost Verhoeff (UMCU)
17:00  Final remarks