| 10:10-11:25 |  |
| 10:10-10:15 | Introduction Matteo Maspero (UMCU) |
| 10:15-10:30 | |
| 10:30-10:45 | Loss functions & image quality metrics Maarten Terpstra (UMCU) |
| 10:45-11:00 | Neural Fields for Computed Tomography Samuele Papa (NKI) |
| 11:00-11:15 | Conditional neural fields with shift modulation for multi-sequence MRI translation Yunjie Chen (LUMC) |
| 11:15-11:25 | Report outcome of SynthRAD2023 data challenge DLinRT image synthesis expert group: Evi Huijben (TUe) |
| 11:25-12:30 |  |
| 11:25-11:30 | Introduction Jonas Teuwen (NKI) |
| 11:30-11:45 | Large-scale dosimetric evaluation of deep learning organ contours in head-and-neck radiotherapy by leveraging existing plans Prerak Mody (LUMC) |
| 11:45-12:00 | Cardiac substructure auto-contouring Luuk van der Pol (UMCU) |
| 12:00-12:15 | Leveraging Network Uncertainty to Predict Likely Edits in Rectal Cancer Target Autosegmentations Federica Maruccio (NKI) |
| 12:15-12:30 | Evaluation of auto-contouring for online adaptive treatment of bladder cancer patients Sana Azzarouali (Amsterdam UMC) |
| 13:50-14:55 |  |
| 13:50-13:55 | Introduction Marianna Sijtsema (UMCG) |
| 13:55-14:10 | Predicting late taste loss with deep learning NTCP model using 3D dose, CT and OAR segmentations Hendrike Neh (UMCG) |
| 14:10-14:25 | DL predicted tumor probability maps to improve DL PET/CT-based outcome prediction models for OPC patients Baoqiang Ma (UMCG) |
| 14:25-14:40 | Radiomics feature selection approach in federated learning Umesh Sherkhane (MAASTRO) |
| 15:10-16:30 |  |
| 15:10-15:15 | Introduction Charlotte Brouwer (UMCG) |
| 15:15-15:30 | AI implementation strategy Rachelle Swart (Maastro) |
| 15:30-15:45 | QA of AI – Outcome of the ESTRO Physics Workshop 2023 Tomas Janssen (NKI-AVL) |
| 15:45-16:00 | Auto-RTP challenge results 2023 Mark Gooding (InPictura) |
| 16:00-16:15 | EU AI act & MDR Erik Gelderblom (Radboud UMC) |
| 16:15-16:30 | Panel discussion Erik Gelderblom (Radboud UMC), Alexis Kotte (UMCU) and Peter Vonck (UMCG) |