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Wouter B. Veldhuis

Quanta Technology (United States)(US)

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190

Papers

6.6K

Citations

44

h-index

100

i10-index

Wouter B. Veldhuis is an academic researcher from Quanta Technology (United States). The author has contributed to research in topics: MRI in cancer diagnosis & Radiomics and Machine Learning in Medical Imaging & Advanced MRI Techniques and Applications. The author has an h-index of 44, co-authored 162 publications.

ORCID: 0000-0002-9798-6843

Research Topics

MRI in cancer diagnosis Radiomics and Machine Learning in Medical Imaging Advanced MRI Techniques and Applications Digital Radiography and Breast Imaging Breast Cancer Treatment Studies

Papers by this author

works

Supplemental MRI Screening for Women with Extremely Dense Breast Tissue

2019 · New England Journal of Medicine · 655 citations

https://doi.org/10.1056/nejmoa1903986

Marije F. Bakker Stéphanie V. de Lange Ruud M. Pijnappel Ritse M. Mann

Deep Learning for Automatic Calcium Scoring in CT: Validation Using Multiple Cardiac CT and Chest CT Protocols

2020 · Radiology · 226 citations

https://doi.org/10.1148/radiol.2020191621

Sanne G. M. van Velzen Nikolas Leßmann Birgitta K. Velthuis Ingrid E.M. Bank

The effect of volumetric breast density on the risk of screen-detected and interval breast cancers: a cohort study

2017 · Breast Cancer Research · 81 citations

https://doi.org/10.1186/s13058-017-0859-9

Johanna O. P. Wanders Katharina Holland Nico Karssemeijer Petra H.M. Peeters

MR liver imaging with Gd-EOB-DTPA: a delay time of 10 minutes is sufficient for lesion characterisation

2012 · European Radiology · 59 citations

https://doi.org/10.1007/s00330-012-2486-2

Charlotte S. van Kessel Wouter B. Veldhuis Maurice A. A. J. van den Bosch Maarten S. van Leeuwen

Computer-aided detection (CAD) for breast MRI: evaluation of efficacy at 3.0 T

2009 · European Radiology · 54 citations

https://doi.org/10.1007/s00330-009-1573-5

Carla Meeuwis Stephanie M.W.Y. van de Ven Gerard Stapper Arancha M. Fernandez Gallardo

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

2021 · Insights into Imaging · 54 citations

https://doi.org/10.1186/s13244-020-00931-1

Tim Leiner Edwin Bennink Christian P. Mol Hugo J. Kuijf

Research topics

topics

MRI in cancer diagnosis

Radiomics and Machine Learning in Medical Imaging

Advanced MRI Techniques and Applications

Digital Radiography and Breast Imaging

Breast Cancer Treatment Studies

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