dr. ir. H.E. (Edwin) Bennink

dr. ir. H.E. (Edwin) Bennink

Assistant Professor
dr. ir. H.E. (Edwin) Bennink
  • Image Sciences Institute

Research Programs




Edwin Bennink works as a researcher and scientific 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 Output (47)

The relationship of fat and muscle measurements with emphysema and bronchial wall thickening in smokers

Bunk Stijn, Ipema Jetty, Sidorenkov Grigory, Bennink E, Vliegenthart Rozemarijn, de Jong Pim, Pompe Esther, Charbonnier Jean-Paul, Luijk B., Aerts Joachim, Groen Harry, Mohamed Hoesein Firdaus 4 Mar 2024, In: ERJ Open Research. 10 12 p.

Spatial CT perfusion data helpful in automatically locating vessel occlusions for acute ischemic stroke patients

Peerlings D, de Jong Hugo, Bennink E, Dankbaar Jan Willem, Velthuis Birgitta, Emmer Bart J, Majoie C.B., Marquering H. A., 29 Mar 2023, In: Frontiers in Neurology. 14

Neural network-derived perfusion maps:A model-free approach to computed tomography perfusion in patients with acute ischemic stroke

Gava Umberto A., D’Agata Federico, Tartaglione Enzo, Renzulli Riccardo , Grangetto Marco , Bertolino Francesca , Santonocito Ambra , Bennink E, Vaudano Giacomo , Boghi Andrea , Bergui Mauro 9 Mar 2023, In: Frontiers in Neuroinformatics. 17 11 p.

Detection of Cardioembolic Sources With Nongated Cardiac Computed Tomography Angiography in Acute Stroke:Results From the ENCLOSE Study

Kauw Frans, Velthuis Birgitta K, Takx Richard A P, Guglielmo Marco, Cramer Maarten J, van Ommen Fasco, Bos Anneloes, Bennink Edwin, Marquering Henk A., Kappelle L Jaap, de Jong Hugo W A M, Dankbaar Jan W 13 Feb 2023, In: Stroke. 54 , p. 821-830 10 p.

Standardizing the estimation of ischemic regions can harmonize CT perfusion stroke imaging

Peerlings Daan, Bennink Edwin, Dankbaar Jan W, Velthuis Birgitta K, Emmer Bart J, Hoving Jan W, Majoie Charles B L M, Marquering Henk A, van Voorst Henk, de Jong Hugo W A M, , 2023, In: European Radiology. 34 , p. 797-807 11 p.

Motion correction in retinal optical coherence tomography imaging using deep learning registration

Ntatsis Konstantinos , Sánchez Brea Luisa, Andrade De Jesus Danilo, Barbosa-Breda João, van Walsum Theo, Bennink E, Klein Stefan 22 Apr 2022,

Cerebrospinal fluid volume improves prediction of malignant edema after endovascular treatment of stroke

Kauw Frans, Bernsen Marie Louise, Dankbaar Jan Willem, de Jong Hugo, Kappelle Jaap, Velthuis Birgitta K, Van der Worp H B, van der Lugt Aad, Roos Y B, Yo Lonneke, van Walderveen Marianne Aa, Hofmeijer Jeannette, Bennink Edwin 4 Apr 2022, In: International Journal of Stroke. 18 , p. 187-192 6 p.

Probability maps classify ischemic stroke regions more accurately than CT perfusion summary maps

Peerlings Daan, van Ommen Fasco, Bennink Edwin, Dankbaar Jan Willem, Velthuis Birgitta, Emmer Bart J, Hoving Jan W., Majoie Charles B.L.M., Marquering Henk A., de Jong Hugo W.A.M. 31 Mar 2022, In: European Radiology. 32 , p. 6367-6375 9 p.

Non-contrast dual-energy CT virtual ischemia maps accurately estimate ischemic core size in large-vessel occlusive stroke

Wolman Dylan N., van Ommen Fasco, Tong Elizabeth, Kauw Frans, Dankbaar Jan Willem, Bennink E, de Jong Hugo, Molvin Lior, Wintermark Max, Heit Jeremy J Dec 2021, In: Scientific Reports. 11

All research output

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