S. Benson

The Netherlands Cancer Institute — Netherlands

Physics and Astronomy · Physical Sciences

93h-index35.8kcitations788works10.52yr avg
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Research Topics

Particle physics theoretical and experimental studies(720), Quantum Chromodynamics and Particle Interactions(636), High-Energy Particle Collisions Research(476), Neutrino Physics Research(79), Dark Matter and Cosmic Phenomena(48)

Publications755 total

High Proper Motion Object Discoveries from the Backyard Worlds: Cool Neighbors Citizen Science Project
Research Notes of the AAS·2025Open Access
Search for resonances decaying to photon pairs with masses between 4.9 and 19.4 GeV
ArXiv.org·2025Open Access
Semi-Supervised Learning in Prostate MRI Tumor Segmentation Approaches Fully-Supervised Performance on External Validation
2025Open Access
Author Correction: An automated deep learning pipeline for EMVI classification and response prediction of rectal cancer using baseline MRI: a multi-centre study
npj Precision Oncology·2025· 1 citedOpen Access
Generalizability, robustness, and correction bias of segmentations of thoracic organs at risk in CT images
European Radiology·2024· 1 citedOpen Access
Improving Rectal Tumor Segmentation with Anomaly Fusion Derived from Anatomical Inpainting: A Multicenter Study
2024Open Access
Cardiovascular care with digital twin technology in the era of generative artificial intelligence
European Heart Journal·2024· 82 citedOpen Access
Diagnostic performance of ADC and ADCratio in MRI-based prostate cancer assessment: A systematic review and meta-analysis
European Radiology·2024· 7 cited
Multi-sequence MRI radiomics of colorectal liver metastases: Which features are reproducible across readers?
European Journal of Radiology·2024· 7 citedOpen Access
Editorial: In vivo and in situ imaging for characterization of colorectal cancer
Frontiers in Gastroenterology·2024Open Access
An automated deep learning pipeline for EMVI classification and response prediction of rectal cancer using baseline MRI: a multi-centre study
npj Precision Oncology·2024· 17 citedOpen Access
Independent validation of CT radiomics models in colorectal liver metastases: predicting local tumour progression after ablation
European Radiology·2023· 7 citedOpen Access
A Deep Learning Framework with Explainability for the Prediction of Lateral Locoregional Recurrences in Rectal Cancer Patients with Suspicious Lateral Lymph Nodes
Diagnostics·2023· 5 citedOpen Access
CIRSE Position Paper on Artificial Intelligence in Interventional Radiology
CardioVascular and Interventional Radiology·2023· 12 citedOpen Access
Performance of the LHCb RICH detectors during LHC Run 2
Journal of Instrumentation·2022· 12 citedOpen Access
CNN-based tumor progression prediction after thermal ablation with CT imaging
Medical Imaging 2022: Computer-Aided Diagnosis·2022
Imaging of colorectal nodal disease
Elsevier eBooks·2022
Breast imaging and deep learning: past, present, and future
Advances in magnetic resonance technology and applications·2022· 1 cited
List of contributors
Elsevier eBooks·2022
The use of deep learning on endoscopic images to assess the response of rectal cancer after chemoradiation
Surgical Endoscopy·2021· 15 citedOpen Access
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Frequent Co-authors

J. Albrecht(47), M. Alexander(47), P. Álvarez Cartelle(47), A. A. Alves(47), M. Artuso(47), W. Baldini(47), I. Belyaev(47), S. Bifani(46), F. Blanc(46), S. Blusk(46), V. Bocci(46), A. Bondar(46), T. J. V. Bowcock(46), F. Archilli(45), N. Bondar(45), C. Bozzi(45), R. J. Barlow(44), R. Aaij(41), L. Anderlini(39), K. Belous(38)