Profile photo Edwin Bennink

Edwin Bennink

Researcher/Postdoc

Strategic program(s):

Biography

Edwin Bennink works as a researcher and research software engineer for the Medical Physics Group and the Image Sciences Institute (UMC Utrecht - Dept. of Radiology).

He received the MSc degree (cum laude) in biomedical engineering from the Eindhoven University of Technology in 2007. In 2016, he received his PhD from the Utrecht University, with a research project on quantitative CT brain perfusion analysis. From 2007 to 2011 he worked as senior software developer for Scientific Volume Imaging BV.

Besides doing research in CT imaging in acute stroke and supporting various image-analysis related projects throughout the UMC Utrecht, Edwin is one of the lead developers of IMAGR, the image analytics infrastructure that brings deep-learning algorithms into the clinical workflow.

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Recent publications

Repeatability of AI-quantified incidental findings on lung cancer screening CT scans in the NELSON trial Stijn Bunk, Thijs Bruins Slot, Edwin Bennink, Grigory Sidorenkov, Nils van der Velden, Niels Schurink, Félix Lades, Markus Sebald, Marjolein A Heuvelmans, Hester A Gietema, Joachim G Aerts, Geertruida H de Bock, Cornelia Schaefer-Prokop, Pim A de Jong, Rozemarijn Vliegenthart, Firdaus A A Mohamed Hoesein,
European Radiology, 2026, vol. 36, p.7524-7534
CT-based body composition and its change through time in relation to outcomes in participants screened for lung cancer Stijn Bunk, Edwin Bennink, Grigory Sidorenkov, Marjolein A. Heuvelmans, Harry J.M. Groen, Hester A. Gietema, Mathias Prokop, Joachim G. Aerts, Colin Jacobs, Geertruida H. de Bock, Pim A. de Jong, Rozemarijn Vliegenthart, Firdaus Mohamed Hoesein,
EBioMedicine, 2026, vol. 127
Repeatability of automated body composition measurement on low dose chest CT in male subjects Stijn Bunk, Edwin Bennink, Grigory Sidorenkov, Hester Gietema, Harry Groen, Geertruida de Bock, Pim A de Jong, Rozemarijn Vliegenthart, Firdaus Mohamed Hoesein,
PLoS ONE, 2026, vol. 21
Generation and validation of a high-resolution fossil diatom record from Saliña Bartol, Bonaire, based on convolutional neural networks Romée van der Kuil, Kees Nooren, Madlene Nussbaum, Edwin Bennink, Francesca Sangiorgi, Timme Donders
Applied Computing and Geosciences, 2026, vol. 29
Robust filtering of thin-slice reconstructions improves lacunar stroke detection in CT perfusion imaging Joris Vromans, Edwin Bennink, Jan Willem Dankbaar, Birgitta K Velthuis, Hugo W A M de Jong
Medical physics, 2026, vol. 53
Evaluation of techniques for automated classification and artery quantification of the circle of Willis on TOF-MRA images Iris N. Vos, Ynte M. Ruigrok, Edwin Bennink, Mireille R.E. Velthuis, Barbara Paic, Maud E.H. Ophelders, Myrthe A.D. Buser, Bas H.M. van der Velden, Geng Chen, Matthieu Coupet, Félix Dumais, Adrian Galdran, Zhang Junyi, Wei Liu, Ting Ma, Madhu S. Nair, Mathieu Naudin, Preena K.P., Keerthi A.S. Pillai, Pengcheng Shi, Thierry Urruty, Dai Yakang, Kaiyuan Yang, Fabio Musio, Bjoern H. Menze, Birgitta K. Velthuis, Hugo J. Kuijf
Medical Image Analysis, 2025, vol. 105