activity
20202025
most citedSynthRAD2023 Grand Challenge dataset: generating synthetic CT for radiotherapy

116 citations · 145 across the 5 of their papers we have counts for

collaborators

6 papers

stat.ME2025

Treatment effect estimation by comparing observed and predicted outcomes: conditions for valid inference and practical illustration

Lotta M. Meijerink, Artuur M. Leeuwenberg, Jungyeon Choi +6

Prediction models developed before the introduction of a new treatment may be used to estimate treatment effects of newly introduced treatments. One approach, known as model-based…

physics.med-ph2023★ 116 cited

SynthRAD2023 Grand Challenge dataset: generating synthetic CT for radiotherapy

Adrian Thummerer, Erik van der Bijl, Arthur Jr Galapon +6

Purpose: Medical imaging has become increasingly important in diagnosing and treating oncological patients, particularly in radiotherapy. Recent advances in synthetic computed tomo…

eess.IV2022★ 28 cited

Slice-by-slice deep learning aided oropharyngeal cancer segmentation with adaptive thresholding for spatial uncertainty on FDG PET and CT images

Alessia De Biase, Nanna Maria Sijtsema, Lisanne van Dijk +2

Tumor segmentation is a fundamental step for radiotherapy treatment planning. To define an accurate segmentation of the primary tumor (GTVp) of oropharyngeal cancer patients (OPC),…

cs.DB2021

A Knowledge graph representation of baseline characteristics for the Dutch proton therapy research registry

Matthijs Sloep, Petros Kalendralis, Ananya Choudhury +8

Cancer registries collect multisource data and provide valuable information that can lead to unique research opportunities. In the Netherlands, a registry and model-based approach…

stat.ME2021★ 1 cited

Comparing methods addressing multi-collinearity when developing prediction models

Artuur M. Leeuwenberg, Maarten van Smeden, Johannes A. Langendijk +5

Clinical prediction models are developed widely across medical disciplines. When predictors in such models are highly collinear, unexpected or spurious predictor-outcome associatio…

physics.med-ph2020

Mapping the Future of Particle Radiobiology in Europe: The INSPIRE Project

N. T. Henthorn, O. Sokol, M. Durante +27

Particle therapy is a growing cancer treatment modality worldwide. However, there still remains a number of unanswered questions considering differences in the biological response…