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dr. W.B. Veldhuis

Assistant Professor - medical
  1. Contact
  2. Research Programs
  3. Biography
  4. Side Activities
  5. Research Output
E. wveldhui@umcutrecht.nl
  • Radiology

Research Programs

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 (119)

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

Leiner Tim, Bennink E, Mol Christian, Kuijf Hugo, Veldhuis WB 2 feb 2021, In: Insights Into Imaging [E]. 12 , p. 11

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.

Tumor Response After Neoadjuvant Magnetic Resonance Guided Single Ablative Dose Partial Breast Irradiation

Vasmel Jeanine E, Charaghvandi Ramona K, Houweling Antonetta C, Philippens Marielle EP, van Asselen Bram, Vreuls Celien PH, van Diest Paul J, van Leeuwen Am Gijs, van Gorp Joost, Witkamp Arjen J, Koelemij Ron, Doeksen Annemiek, Sier Maartje F, van Dalen Thijs, van der Wall Elsken, van Dam Iris, Veldhuis Wouter B, Kirby Anna M, Verkooijen Helena M, van den Bongard HJG Desiree 15 mrt 2020, In: International Journal of Radiation Oncology Biology Physics. 106 , p. 821-829 9 p.

Computer-Aided Diagnosis in Multiparametric Magnetic Resonance Imaging Screening of Women With Extremely Dense Breasts to Reduce False-Positive Diagnoses

Verburg Erik, van Gils Carla H, Bakker Marije F, Viergever Max A, Pijnappel Ruud M, Veldhuis Wouter B, Gilhuijs Kenneth G A 6 mrt 2020, In: Investigative Radiology. 55 , p. 438-444 7 p.

The Predictive Value of Low Muscle Mass as Measured on CT Scans for Postoperative Complications and Mortality in Gastric Cancer Patients:A Systematic Review and Meta-Analysis

Borggreve Alicia S, den Boer Robin B, van Boxel Gijs I, de Jong Pim A, Veldhuis Wouter B, Steenhagen Elles, van Hillegersberg Richard, Ruurda Jelle P 11 jan 2020, In: Journal of Clinical medicine. 9 15 p.

Prognostic value of radiological recurrence patterns in ovarian cancer

Roze Joline F, Veldhuis Wouter B, Hoogendam Jacob P, Verheijen René H M, Scholten Rob J P M, Zweemer Ronald P 1 jan 2020, In: Gynecologic Oncology. 157 , p. 606-612 7 p.

Deep Group-Wise Variational Diffeomorphic Image Registration

van der Ouderaa Tycho F.A., Išgum Ivana, Veldhuis Wouter B., de Vos Bob D. 2020, p. 155-164 10 p.

Supplemental MRI Screening for Women with Extremely Dense Breast Tissue

Bakker Marije F, de Lange Stéphanie V, 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 Matthijn 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, 28 nov 2019, In: The New England journal of medicine. 381 , p. 2091-2102 12 p.

Liver segmentation and metastases detection in MR images using convolutional neural networks

Jansen Mariëlle J A, Kuijf Hugo J, Niekel Maarten, Veldhuis Wouter B, Wessels Frank J, Viergever Max A, Pluim Josien P W 15 okt 2019, In: Journal of Medical Imaging. 6

All research output