51 citations
- Maastricht University Medical CentreNL7 papers
- Maastricht UniversityNL5 papers
- Centraal Bureau voor de StatistiekNL3 papers
- Tilburg UniversityNL2 papers
- Centre National de la Recherche ScientifiqueFR1 paper
- Chinese University of Hong KongHK1 paper
- Eindhoven University of TechnologyNL1 paper
- Erasmus MC Cancer InstituteNL1 paper
- European Theoretical Spectroscopy FacilityBE1 paper
- Fudan UniversityCN1 paper
- GlaxoSmithKline (China)CN1 paper
- Hong Kong University of Science and TechnologyHK1 paper
12 papers
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…
Light-sheet microscopy to assess cancer pathology: current views and future trends
Uma Pisarović, Taichi Ochi, Iryna Samarska +6
In recent years, light-sheet fluorescence microscopy (LSFM) has emerged as a powerful tool for visualizing and analyzing cancer tissue samples, including patient-derived specimens,…
Machine Learning-based beam delivery time model for Mevion 250i with Hyperscan technology
Giorgio Cartechini, Francesco Giuseppe Cordoni, Mirko Unipan +1
Purpose: Accurate prediction of beam delivery time (BDT) is essential for operational efficiency, 4D dose calculations, and advanced proton therapy techniques. Despite its importan…
Extreme Cardiac MRI Analysis under Respiratory Motion: Results of the CMRxMotion Challenge
Kang Wang, Chen Qin, Zhang Shi +46
Deep learning models have achieved state-of-the-art performance in automated Cardiac Magnetic Resonance (CMR) analysis. However, the efficacy of these models is highly dependent on…
Preictal Period Optimization for Deep Learning-Based Epileptic Seizure Prediction
Petros Koutsouvelis, Bartlomiej Chybowski, Alfredo Gonzalez-Sulser +2
Accurate prediction of epileptic seizures could prove critical for improving patient safety and quality of life in drug-resistant epilepsy. Although deep learning-based approaches…
Federated Bayesian Network Ensembles
Florian van Daalen, Lianne Ippel, Andre Dekker +1
Federated learning allows us to run machine learning algorithms on decentralized data when data sharing is not permitted due to privacy concerns. Ensemble-based learning works by t…