Friday October 7, 2022 (Tentative program)

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

10:00-10:10  Opening Scientific Day - Nico van den Berg (UMCU)
10:10-10:15 Introduction
Matteo Maspero (UMCU)
10:15-10:30 Learned Invertible Reconstruction for CBCT
Nikita Moriakov (NKI)
10:30-10:45 Accelerated respiratory-resolved 4D-MRI with separable spatio-temporal neural networks
Maarten Terpstra (UMCU)
10:45-11:00 Reconstructing undersampled MRI data with deep learning
George Yiasemis (NKI)
11:00-11:15 DL for dose prediction for head and neck radiotherapy
Xiaojin Gu (AUMC)
11:15-11:25 Announcement of SynthRAD2023 data challenge
DLinRT image synthesis group
11:25-11:30 Introduction
Jonas Teuwen (NKI)
11:30-11:45 Interactive target segmentation for H&N cancer
Alessia de Biase (UMCG)
11:45-12:00 Improving error detection in deep learning based radiotherapy autocontouring using Bayesian uncertainty
Prerak Mody (LUMC)
12:00-12:15 Online autocontouring for MRI guided Radiotherapy of prostate cancer
Mark Savenije (UMCU)
12:15-12:30 Automatic segmentation of the cervical cancer on brachytherapy images
Roque Rodriguez Outeiral (NKI)
12:30-13:30  Lunch   
13:30-13:50  Prof. Dr. Guillaume Landry (Medical Center of the University of Munich): Deep learning in the RT workflow: from Unets to LSTMs   
13:50-13:55 Introduction
Marianna Sijtsema (UMCG)
13:55-14:10 Radiomics predicts DM of lung cancer received RT
Zhen Zhang (Maastro)
14:10-14:25 Using deep learning to improve Radiomics
Junhua Chen (Maastro)
14:25-14:40 Improving late-xerostomia prediction with 18F-FDG-PET radiomics in head and neck cancer patients
Yan Li (UMCG)
14:40-14:55 Deep learning-based radiomics for time-to-event outcome prediction in head and neck cancer patients
Baoqiang Ma (UMCG)
14:55-15:15  Coffee/tea break   
15:15-15:35 Industry session
15:15-15:25 Elekta: Partnering for a future of AI in RT
Elekta, Rui Lopes
15:25-15:35 The use of Artificial Intelligence in Ethos therapy
Varian, Sabine Bernard
15:35-15:40 Introduction
Charlotte Brouwer
15:40-15:50 From Dice=0.89 to the clinic
Rita Simoes (NKI)
15:50-16:00 Modelcards and datasheets for standardized introduction of AI tools
Peter van Ooijen (UMCG)
16:00-16:10 IT infrastructure and monitoring dashboard UMCU
Alexis Kotte (UMCU)
16:10-16:20 Leidraad software validation/ Leidraad AI
Wilco Schillemans (ErasmusMC)
16:20-16:30 Multicenter comparison of measures for quantitative evaluation of contouring in radiotherapy
Ellen Brunenberg (RUMC)
16:30-16:40 Clinical implementation AI @Maastro
Wouter van Elmpt (Maastro)
16:40-16:45 Closure - Charlotte Brouwer (UMCG)
16:45 Informal drinks