Tuesday March 18, 2025 (Tentative program)

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

9:00-9:30  Coffee   
 
9:30-9:35  Opening Scientific Day - Nico van den Berg (UMC Utrecht)
 
9:35-10:50
9:35-9:40 Introduction
Matteo Maspero (UMC Utrecht)
9:40-9:52 Uncertainty estimation in female pelvic synthetic CT generated from iterative reconstructed CBCT
Yvonne de Hond, Catharina Ziekenhuis Eindhoven
9:52-10:04 A Plug-and-Play Method for Guided Multi-contrast MRI Reconstruction based on Content/Style Modeling
Chinmay Rao, Leiden UMC
10:04-10:16 The effect of dataset size and dataset curation in dose prediction for instantaneous treatment planning
Joep van Genderingen, Erasmus MC, Rotterdam
10:16-10:28 Angle dependent dose transformer algorithm for fast proton therapy dose calculations
Mikolaj Stryja, TU Delft
10:28-10:40 Rapid clinical decision making via biplanar projections and deep learning
Musti Kadhim, Lund University - Skåne University Hospital
10:40-10:45 Introduction SynthRAD2025 data challenge
Maarten Terpstra, UMC Utrecht or Adrian Thummerer, LMU Munich
 
10:45-11:10  Coffee   
 
11:10-13:32
11:10-11:15 Introduction
Joren Brunekreef, NKI Amsterdam
11:15-11:27 Cross-institutional validation of prostate tumor auto-segmentation using multiparametric MRI
Ruben Bosschaert, NKI Amsterdam
11:27-11:39 Automated contouring in MR-guided adaptive radiotherapy for rectum cancer
Iris Kolenbrander, TU Eindhoven
11:39-11:51 Interactive Contour Refinement for head and neck auto-contours
Prerak Mody, Leiden UMC
11:51-12:03 Interpreting convolutional neural network explainability for head-and-neck cancer radiotherapy organ-at-risk segmentation
Victor Strijbis, University Bern
12:03-12:15 Deep learning approaches for automated segmentation of focal cortical dysplasia (FCD) lesions
Petros Koutsouvelis, Maastricht University
12:15-12:27 A deep reinforcement learning approach for adaptive fractionation: Dynamic fraction size optimization for enhancing OAR sparing
Martin Weigand, NKI Amsterdam
12:27-12:32 Introducing the TrackRAD2025 Grand Challenge
Matteo Maspero, UMC Utrecht
 
12:32-13:30  Lunch   
 
13:30-14:50
13:30-13:35 Introduction
Marianna Sijtsema (UMC Groningen)
13:35-13:50 Digital Twin-Driven Framework for Lung Nodule Analysis: Identification, Segmentation, and Radiomics
Farshad Jafarpour, University Magna Graecia, Italy
13:50-14:05 Deep learning-based prediction of radiation pneumonitis in advanced-staged lung cancer
Robert van der Wal, UMC Groningen
14:05-14:20 Deep Learning based Xerostomia Prediction
Viktor Rogowski, Lund University - Skåne University Hospital
14:20-14:35 Deep learning NTCP models for head and neck cancer toxicities
Suzanne de Vette, UMC Groningen
14:35-14:50 Title follows
Maastricht
 
14:50-15:10  Coffee/tea break   
 
15:10-16:15
15:10-15:15 Introduction
Charlotte Brouwer (UMCG)
15:15-15:25 Clinical implementation of an auto-segmentation model for male pelvis MR
Bas Schipaanboord, NKI Amsterdam
15:25-15:35 Methods for Effective Postmarket Monitoring of AI-Enabled Medical Devices
Frida Hauler, Freelancer
15:35-15:45 Monitoring auto-segmentation usage in the clinic
Rita Simões, NKI Amsterdam
15:45-15:55 Proof of Concept of a cluster of VMs in the cloud using Azure
Sietske Bergsma, Isala, Zwolle
15:55-16:05 Challenges in clinical implementation of prognostic models in the hospital information system
Simone Tummers, MAASTRO
16:05-16:15 A DL-enhanced auto-contouring workflow for daily-adaptive prostate radiotherapy: Clinical implementation and first experiences
Cornel Zachiu, UMC Utrecht
 
16:15 Closure Charlotte Brouwer, UMC Groningen
 
 Informal drinks