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