Thursday 25 January 2024 (Tentative program)

Location: Auditorium, Q-building, Department of Radiotherapy, UMC Utrecht

 

 9:20-9:30  Opening remarks - Nico van den Berg (UMCU)
 
9:30-11:00 Lectures
9:30-10:15 Principles of machine learning
Alessandro Sbrizzi (UMCU)
10:15-11:00 Introduction to deep learning
Mitko Veta (TUE)
 
 11:00-11:20  Break   
 
11:20-12:20 Lectures
11:20-11:50 Deep learning methods for image reconstruction
Samuele Papa (NKI)
11:50-12:20 Deep learning for image registration/contour propagation
Maarten Terpstra (UMCU)
 
 12:20-13:30  Lunch   
 
13:30-15:45 Lectures
13:30-14:15 Deep learning for image synthesis in radiotherapy
Matteo Maspero (UMCU)
14:15-14:45 Deep learning for auto-contouring
Mark Savenije (UMCU)
15:15-15:45 Large language models in radiology
Tom van Sonsbeek (UvA)
 
 15:45-16:00  Break   
 
16:00-17:00 Lectures
16:00-16:30 Explainable AI
Bas van der Velden (WUR)
16:30-17:00 Regulatory issues & Implementation of deep learning applications in clinics
Gijsbert Bol (UMCU)
 
 17:00  Drinks