Profile photo Wouter Veldhuis

Wouter Veldhuis

Associate Professor

Strategic program(s):

Biography

Biosketch

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 doRadiology.com, an interactive platform for radiology teaching applications, that have been recognized as finalist or winner "Best Radiology Mobile App" by AuntMinnie.com over 9 times in the past years. He furthermore developed myBody-myData.nl, 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 (bit.ly/PubWV). 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.

Recent publications

Automated rating of background parenchymal enhancement in MRI of extremely dense breasts without compromising the association with breast cancer in the DENSE trial Hui Wang, Bas H.M.van der Velden, Erik Verburg, Marije F. Bakker, Ruud M. Pijnappel, Wouter B. Veldhuis, Carla H. van Gils, Kenneth G.A. Gilhuijs
European Journal of Radiology, 2024, vol. 175
Re-attendance in supplemental breast MRI screening rounds of the DENSE trial for women with extremely dense breasts Stefanie G A Veenhuizen, Sophie E L van Grinsven, Isabelle L Laseur, Marije F Bakker, Evelyn M Monninkhof, Stéphanie V de Lange, Ruud M Pijnappel, Ritse M Mann, Marc B I Lobbes, Katya M Duvivier, Mathijn D F de Jong, Claudette E Loo, Nico Karssemeijer, Paul J van Diest, Wouter B Veldhuis, Carla H van Gils,
European Radiology, 2024, vol. 34, p.6334-6347
External validation of the RSNA 2020 pulmonary embolism detection challenge winning deep learning algorithm Eline Langius-Wiffen, Derk J. Slotman, Jorik Groeneveld, Jochen AC van Osch, Ingrid M. Nijholt, Erwin de Boer, Jacqueline Nijboer-Oosterveld, Wouter B. Veldhuis, Pim A. de Jong, Martijn F. Boomsma
European Journal of Radiology, 2024, vol. 173
Use of automated assessment for determining associations of low muscle mass and muscle loss with overall survival in patients with colorectal cancer – A validation study Karel C. Smit, Jeroen W.G. Derksen, Sophie A. Kurk, Pim Moeskops, Miriam Koopman, Wouter B. Veldhuis, Anne M. May
Clinical Nutrition ESPEN, 2024, vol. 63, p.572-584
Impact of body composition and physical strength changes during chemoradiotherapy on complications and survival after oesophagectomy R. B. den Boer, I. L. Defize, W. Veldhuis, E. Steenhagen, A. Kerst, R. van Hillegersberg, P. A. de Jong, J. P. Ruurda
European Journal of Surgical Oncology, 2023, vol. 49
Added value of an artificial intelligence algorithm in reducing the number of missed incidental acute pulmonary embolism in routine portal venous phase chest CT Eline Langius-Wiffen, Pim A de Jong, Firdaus A Mohamed Hoesein, Lisette Dekker, Andor F van den Hoven, Ingrid M Nijholt, Martijn F Boomsma, Wouter B Veldhuis
European Radiology, 2023, vol. 34, p.367-373