dr. W.B. Veldhuis

dr. W.B. Veldhuis

Assistant Professor - medical
  • Radiology




Wouter B. Veldhuis (PhD, MD) is Radiologist at the University Medical Center Utrecht in the Netherlands. He is the initiator of IMAGR, the vendor neutral AI infrastructure that brings deep-learning algorithms directly into the clinical workflow in the UMC Utrecht. He is Cofounder of QuantibU, a translational AI startup active in the field of medical imaging. 

He is also the initiator of, an interactive platform for radiology teaching applications, that have been recognized as finalist or winner "Best Radiology Mobile App" by over 9 times in the past years. He furthermore developed, a portal that gives patients direct access to their medical imaging data.


Dr. Veldhuis is the coordinating radiologist of the DENSE trial and designed the DENSE MRI protocol that has been running on top of the Dutch Breast Cancer Screening Program for the past 10 years. He holds a PhD in Magnetic Resonance Imaging and Spectroscopy Methods, and has authored over 180 publications ( Before coming to Utrecht he was an Oncologic Imaging Scholar at the Memorial Sloan-Kettering Cancer Centre in New York, funded by the MSKCC and the European Society for Radiology, and a postdoc at the Stanford University Richard M. Lucas MRI Center on a grant from the Dutch Cancer Society (KWF).

In 2015 he received the “Wiarda Award” from the Dutch Society of Radiology for the best Radiology Teacher.

Side Activities


- BROK certified
- Radiation Protection - Level 3M, Boerhaave Institute for Medical Education
- PhD Supervisor (co-promotor) of 8 PhD students
- Co-founder of Quantib-U

Research Output (147)

Assessing Quantitative Parenchymal Features at Baseline Dynamic Contrast-enhanced MRI and Cancer Occurrence in Women with Extremely Dense Breasts

Wang Hui, van der Velden Bas H.M., Verburg Erik, Bakker Marije F., Pijnappel Ruud M., Veldhuis Wouter B., van Gils Carla H., Gilhuijs Kenneth G.A. Aug 2023, In: Radiology. 308

Retrospective batch analysis to evaluate the diagnostic accuracy of a clinically deployed AI algorithm for the detection of acute pulmonary embolism on CTPA

Langius-Wiffen Eline, de Jong Pim A., Hoesein Firdaus A.Mohamed, Dekker Lisette, van den Hoven Andor F., Nijholt Ingrid M., Boomsma Martijn F., Veldhuis Wouter B. 6 Jun 2023, In: Insights into Imaging. 14

The association of radiologic body composition parameters with clinical outcomes in level-1 trauma patients

Sweet Arthur A.R., Kobes Tim, Houwert Roderick M., Groenwold Rolf H.H., Moeskops Pim, Leenen Luke P.H., de Jong Pim A., Veldhuis Wouter B., van Baal Mark C.P.M. 2023, In: European Journal of Trauma and Emergency Surgery. 49 , p. 1947-1958 12 p.

Cardiovascular parameters on computed tomography are independently associated with in-hospital complications and outcomes in level-1 trauma patients

Kobes Tim, Sweet Arthur A R, Klip IJsbrand T, Houwert Roderick M, Veldhuis Wouter B, Leenen Luke P H, de Jong Pim A, van Baal Mark C P M 27 Nov 2022, In: European Journal of Trauma and Emergency Surgery. 49 , p. 1295-1302 8 p.

Computed tomographic bone mineral density is independently associated with adverse in-hospital outcomes in Dutch level-1 trauma patients

Kobes Tim, Sweet Arthur A R, Verstegen Sophie B H, Houwert R Marijn, Veldhuis Wouter B, Leenen Luke P H, de Jong Pim A, van Baal Mark C P M 27 Nov 2022, In: European Journal of Trauma and Emergency Surgery. 49 , p. 1393-1400 8 p.

Validation of Combined Deep Learning Triaging and Computer-Aided Diagnosis in 2901 Breast MRI Examinations From the Second Screening Round of the Dense Tissue and Early Breast Neoplasm Screening Trial

Verburg Erik, van Gils Carla H, van der Velden Bas H M, Bakker Marije F, Pijnappel Ruud M, Veldhuis Wouter B, Gilhuijs Kenneth G A 17 Oct 2022, In: Investigative Radiology. 58 , p. 293-298 6 p.

Contrast-enhanced Mammography:Moving Ahead with Perfusion Imaging

Mann Ritse M., Veldhuis Wouter B. 1 Oct 2022, In: Radiology. 305 , p. 104-106 3 p.

Exposure–Response Analysis of Osimertinib in EGFR Mutation Positive Non-Small Cell Lung Cancer Patients in a Real-Life Setting

Boosman René J., Jebbink Merel, Veldhuis Wouter B., Groenland Stefanie L., van Veggel Bianca A.M.H., Moeskops Pim, de Langen Adrianus J., Beijnen Jos H., Smit Egbert F., Huitema Alwin D.R., Steeghs Neeltje Oct 2022, In: Pharmaceutical Research. 39 , p. 2507-2514 8 p.

Fluorescent Indocyanine Green versus Technetium-99m and Blue Dye for Bilateral SENTinel Lymph Node Detection in Stage I-IIA Cervical Cancer (FluoreSENT):protocol for a non-inferiority study

Baeten Ilse G T, Hoogendam Jacob P, Braat Arthur J A T, Veldhuis Wouter B, Jonges Geertruida N, Jürgenliemk-Schulz Ina M, Zweemer Ronald P, Gerestein Cornelis G 13 Sep 2022, In: BMJ Open. 12 , p. 1-8

Individualized Contrast Media Application Based on Body Weight and Contrast Enhancement in Computed Tomography of Livers without Steatosis

de Jong Daan J., van Cooten Véronique V., Veldhuis Wouter B., de Jong Pim A., Kok Madeleine Jul 2022, In: Diagnostics. 12

All research output

Thank you for your review!

Has this information helped you?

Please tell us why, so that we can improve our website.

Working at UMC Utrecht





Practical maakt gebruik van cookies

Deze website maakt gebruik van cookies Deze website toont video’s van o.a. YouTube. Dergelijke partijen plaatsen cookies (third party cookies). Als u deze cookies niet wilt kunt u dat hier aangeven. Wij plaatsen zelf ook cookies om onze site te verbeteren.

Lees meer over het cookiebeleid

Akkoord Nee, liever niet