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dr. ir. B.H.M. (Bas) van der Velden

Researcher/Postdoc

  • Image Sciences Institute

dr. ir. B.H.M. (Bas) van der Velden

Biography

Bas van der Velden (1986) is a postdoctoral researcher at the University Medical Center Utrecht. He received his PhD in Medical Imaging at Utrecht University and his MSc degree in Medical Engineering at the Eindhoven University of Technology. He has experience at research labs in the USA (UC Berkeley and Memorial Sloan Kettering Cancer Center).

Bas’s research focuses on breast cancer prognosis and personalized treatment using medical image analysis and machine learning.

Research Output (23)

Volumetric breast density estimation on MRI using explainable deep learning regression

van der Velden Bas H M, Janse Markus H A, Ragusi Max A A, Loo Claudette E, Gilhuijs Kenneth G A 22 okt 2020, In: Scientific Reports. 10 , p. 18095

Contralateral parenchymal enhancement on breast MRI before and during neoadjuvant endocrine therapy in relation to the preoperative endocrine prognostic index

Ragusi Max A A, Loo Claudette E, van der Velden Bas H M, Wesseling Jelle, Linn Sabine C, Beets-Tan Regina G, Elias Sjoerd G, Gilhuijs Kenneth G A 20 jul 2020, In: European Radiology.

Radiogenomic Analysis of Breast Cancer by Linking MRI Phenotypes with Tumor Gene Expression

Bismeijer Tycho, van der Velden Bas H M, Canisius Sander, Lips Esther H, Loo Claudette E, Viergever Max A, Wesseling Jelle, Gilhuijs Kenneth G A, Wessels Lodewyk F A 26 mei 2020, In: Radiology. 296 , p. 277-287 11 p.

Interpretable deep learning regression for breast density estimation on MRI

Van Der Velden Bas H.M., Ragusi Max A.A., Janse Markus H.A., Loo Claudette E., Gilhuijs Kenneth G.A. 1 jan 2020,

Harmonization of Quantitative Parenchymal Enhancement in T1 -Weighted Breast MRI

van der Velden Bas H M, van Rijssel Michael J, Lena Beatrice, Philippens Marielle E P, Loo Claudette E, Ragusi Max A A, Elias Sjoerd G, Sutton Elizabeth J, Morris Elizabeth A, Bartels Lambertus W, Gilhuijs Kenneth G A 1 jan 2020, In: Journal of Magnetic Resonance Imaging. 52 , p. 1374-1382 9 p.

Synchronous Breast Cancer:Phenotypic Similarities on MRI

Wang Hui, van der Velden Bas H M, Chan Hui Shan M, Loo Claudette E, Viergever Max A, Gilhuijs Kenneth G A 19 dec 2019, In: Journal of Magnetic Resonance Imaging. 51 , p. 1858-1867 10 p.

Are contralateral parenchymal enhancement on dynamic contrast-enhanced MRI and genomic ER-pathway activity in ER-positive/HER2-negative breast cancer related?

van der Velden Bas H M, Bismeijer Tycho, Canisius Sander, Loo Claudette E, Lips Esther H, Wesseling Jelle, Viergever Max A, Wessels Lodewyk F A, Gilhuijs Kenneth G A 16 okt 2019, In: European Journal of Radiology. 121

Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing

van der Velden BHM, de Vos Bob D., Loo Claudette E., Kuijf HJ, Isgum I, Gilhuijs KG 2019, 10950

Contralateral parenchymal enhancement on dynamic contrast-enhanced MRI reproduces as a biomarker of survival in ER-positive/HER2-negative breast cancer patients

van der Velden BHM, Sutton Elizabeth, Carbonaro Luca, Pijnappel Ruud, Morris Elizabeth, Gilhuijs Kenneth nov 2018, In: European Radiology. 28 , p. 4705-4716 12 p.

Perfusion in the contralateral breast on preoperative MRI may complement ER-pathway activity from the index tumor to stratify outcome of endocrine therapy for early-stage invasive breast cancer

Van der Velden B., Bismeijer T., Canisius S., Loo C., Lips E., Wesseling J., Viergever M., Wessels L., Gilhuijs K. apr 2018, In: European Journal of Cancer. 92 , p. S49-S50

All Research Output (23)