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dr. W.B. Veldhuis

dr. W.B. Veldhuis

Assistant Professor - medical
  • Radiology

Biography

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.

Side Activities

Miscellaneous

- 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 (126)

Bringing AI to the clinic: blueprint for a vendor-neutral AI deployment infrastructure

Leiner Tim, Bennink E, Mol Christian, Kuijf Hugo, Veldhuis WB dec 2021, In: Insights Into Imaging [E]. 12 , p. 11

Is Nederland klaar voor gepersonaliseerde borstkankerscreening? Versnelde MRI en contrast-versterkte mammografie bij screening van dense borsten

Raat H. P.J., Lobbes Marc B.I., Veldhuis Wouter B. 4 aug 2021, In: Nederlands Tijdschrift voor Geneeskunde. 165 7 p.

Robot-assisted laparoscopic debulking surgery for recurrent adult granulosa cell tumors

Groeneweg Jolijn W, Roze Joline F, Veldhuis Wouter B, Ruurda Jelle P, Gerestein Cornelis G, Zweemer Ronald P aug 2021, In: Gynecologic oncology reports. 37 4 p.

Toward Computer-Assisted Triaging of Magnetic Resonance Imaging-Guided Biopsy in Preoperative Breast Cancer Patients

Wang Hui, van der Velden Bas H M, Ragusi Max A A, Veldhuis Wouter B, Viergever Max A, Verburg Erik, Gilhuijs Kenneth G A 1 jul 2021, In: Investigative Radiology. 56 , p. 442-449 8 p.

Supplemental Breast MRI for Women with Extremely Dense Breasts:Results of the Second Screening Round of the DENSE Trial

Veenhuizen Stefanie G A, de Lange Stéphanie V, Bakker Marije F, Pijnappel Ruud M, Mann Ritse M, Monninkhof Evelyn M, Emaus Marleen J, de Koekkoek-Doll Petra K, Bisschops Robertus H C, Lobbes Marc B I, de Jong Mathijn D F, Duvivier Katya M, Veltman Jeroen, Karssemeijer Nico, de Koning Harry J, van Diest Paul J, Mali Willem P T M, van den Bosch Maurice A A J, van Gils Carla H, Veldhuis Wouter B, 16 mrt 2021, In: Radiology. 299 , p. 278-286 9 p.

Towards personalised contrast injection:Artificial-intelligence-derived body composition and liver enhancement in computed tomography

de Jong Daan J., Veldhuis Wouter B., Wessels Frank J., de Vos Bob, Moeskops Pim, Kok Madeleine mrt 2021, In: Journal of Personalized Medicine. 11 , p. 1-13 13 p.

Automatic Prediction of Recurrence of Major Cardiovascular Events:A Text Mining Study Using Chest X-Ray Reports

Bagheri Ayoub, Groenhof T Katrien J, Asselbergs Folkert W, Haitjema Saskia, Bots Michiel L, Veldhuis Wouter B, de Jong Pim A, Oberski Daniel L 2021, In: Journal of healthcare engineering. 2021 11 p.

Indocyanine green versus technetium-99m with blue dye for sentinel lymph node detection in early-stage cervical cancer:A systematic review and meta-analysis

Baeten Ilse G.T., Hoogendam Jacob P., Jeremiasse Bernadette, Braat Arthur J.A.T., Veldhuis Wouter B., Jonges Geertruida N., Jürgenliemk-Schulz Ina M., van Gils Carla H., Zweemer Ronald P., Gerestein Cornelis G. 2021, In: Cancer Reports.

Deep learning for automatic calcium scoring in CT:Validation using multiple cardiac CT and chest CT protocols

van Velzen Sanne G.M., Lessmann Nikolas, Velthuis Birgitta K., Bank Ingrid E.M., van den Bongard Desiree H.J.G., Leiner Tim, de Jong Pim A., Veldhuis Wouter B., Correa Adolfo, Terry James G., Carr John Jeffrey, Viergever Max A., Verkooijen Helena M., Išgum Ivana apr 2020, In: Radiology. 295 , p. 66-79 14 p.

Meerwaarde van MRI-screening bij zeer dicht borstweefsel in het bevolkingsonderzoek borstkanker

de Lange Stéphanie V., Bakker Marije F., Pijnappel Ruud M., Mann Ritse M., Peeters Petra H.M., Monninkhof Evelyn M., Emaus Marleen J., Loo Claudette E., Bisschops Robertus H.C., Lobbes Marc B.I., de Jong Mathijn D.F., Duvivier Katya M., Veltman Jeroen, Karssemeijer Nico, de Koning Harry J., van Diest Paul J., Mali Willem P.T.M., van den Bosch Maurice A.A.J., Veldhuis Wouter B., van Gils Carla H. apr 2020, In: Nederlands Tijdschrift voor Geneeskunde. 164 10 p.

All research output

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