Program

08:30-09:00  Welcome coffee   
 
09:00-09:05  Opening remarks   
 
09:05-11:05 Lectures
09:05-10:05 Principles of Machine learning
Alessandro Sbrizzi
10:05-11:05 Introduction to deep learning
Jelmer Wolterink
 
11:05-11:30  Coffee/tea break   
 
11:30-12:40 Lectures
11:30-12:00 Hard -and software for deep learning
Mark Savenije
12:00-12:40 Deep learning for image synthesis
Matteo Maspero
 
12:40-13:25  Lunch   
 
13:25-15:10 Lectures
13:25-14:00 Deep learning for auto-contouring
Anna Dinkla
14:00-14:35 Deep learning for MRI-guided radiotherapy
Bjorn Stemkens
14:35-15:10 Deep learning in the radiotherapy treatment planning and delivery pipeline
Charis Kontaxis
 
15:10-15:30  Coffee/tea/refreshments   
 
15:30-16:45 Lectures
15:30-16:15 An outlook on the potential and challenges of use of Deep Learning in Radiotherapy
Nico van den Berg
16:15-16:45Demo
Mark Savenije
 
16:45  Q&A/discussion   
 
17:00  Drinks