Personal profile
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.
Research interests
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re|perfuse - CT Brain Perfusion Analysis
- SPECTACULAR - Spectral CT augmented by AI for Stroke
- ENCLOSE - Early detection of thromboembolic sources and small volume stroke with spectral CT
- AIRSPACE - Advanced Imaging for Risk Stratification of Stroke Patients using CT Examinations
- IMAGR - Bringing deep-learning algorithms into the clinical workflow
- ADAM - Aneurysm Detection And segMenation Challenge 2020
- MRBrainS18 - Grand Challenge on MR Brain Segmentation at MICCAI 2018
- CROWN - Circle of Willis Intracranial Artery Classification and Quantification Challenge 2023
- Programming for Medical Imaging
Collaborations and top research areas from the last five years
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CT-based body composition and its change through time in relation to outcomes in participants screened for lung cancer
Bunk, S., Bennink, E., Sidorenkov, G., Heuvelmans, M. A., Groen, H. J. M., Gietema, H. A., Prokop, M., Aerts, J. G., Jacobs, C., de Bock, G. H., de Jong, P. A., Vliegenthart, R., Mohamed Hoesein, F. & NELSON-POP consortium, May 2026, In: EBioMedicine. 127, 106276.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile -
Generation and validation of a high-resolution fossil diatom record from Saliña Bartol, Bonaire, based on convolutional neural networks
van der Kuil, R., Nooren, K., Nussbaum, M., Bennink, E., Sangiorgi, F. & Donders, T., Feb 2026, In: Applied Computing and Geosciences. 29, 100326.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile -
Patients with Ocular Ischaemic Events Have Greater Cerebral White Matter Hyperintensity Volume than Asymptomatic Patients Undergoing Carotid Revascularisation
Donners, S. J. A., Willemsen, S. I., Bennink, E., Saicic, S., Knappich, C., Hendrikse, J., Hazenberg, C. E. V. B., Toorop, R. J. & de Borst, G. J., Mar 2026, In: European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery. 71, 3, p. 367-373 7 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Downloads (Pure) -
Repeatability of automated body composition measurement on low dose chest CT in male subjects
Bunk, S., Bennink, E., Sidorenkov, G., Gietema, H., Groen, H., de Bock, G., de Jong, P. A., Vliegenthart, R., Mohamed Hoesein, F. & NELSON-POP consortium, 17 Apr 2026, In: PLoS ONE. 21, 4, e0332004.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile -
Robust filtering of thin-slice reconstructions improves lacunar stroke detection in CT perfusion imaging
Vromans, J., Bennink, E., Dankbaar, J. W., Velthuis, B. K. & de Jong, H. W. A. M., Jan 2026, In: Medical physics. 53, 1, e70271.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Downloads (Pure)
Activities
- 1 Participation in workshop, seminar, course
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Grand Challenge on MR Brain Segmentation 2018
Kuijf, H. (Organiser) & Bennink, E. (Organiser)
16 Sept 2018Activity: Participating in or organising an event › Participation in workshop, seminar, course › Academic