Dr. Bas H. M. van der Velden Profile

Dr. Bas H. M. van der Velden

Postdoctoral Researcher at Univ Medical Ctr Utrecht

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Area of Expertise:

Medical Imaging , Breast Cancer , Machine Learning , Deep Learning , Decision-support Systems

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Profile Summary

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.

Publications (5)

Proceedings Article | 29 March 2024 Presentation + Paper

Unsupervised deep learning for the matching of vascular anatomy in multiple digital subtraction angiograms

R. C. Kraaijveld, B. H. van der Velden, R. Goldman

Proceedings Volume 12929, 129290N (2024) https://doi.org/10.1117/12.3004394

KEYWORDS: Source localization, Arteries, Education and training, Anatomy, Blood vessels, Deep learning, Angiography, Diagnostics, Visualization, Image visualization

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Proceedings Article | 3 April 2023 Poster + Paper

Evaluation of multiparametric MRI for deep learning-based segmentation of Wilms tumor

Myrthe A. Buser, Marc H. W. Wijnen, Alida F. van der Steeg, Bas H. van der Velden

Proceedings Volume 12467, 1246712 (2023) https://doi.org/10.1117/12.2653552

KEYWORDS: Diffusion weighted imaging, Image segmentation, Tumors, Magnetic resonance imaging, Medical imaging, Education and training, Kidney, Deep learning, Biological imaging, Surgery

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Proceedings Article | 16 March 2020 Presentation + Paper

Interpretable deep learning regression for breast density estimation on MRI

Bas H. M. van der Velden, Max A. Ragusi, Markus H. Janse, Claudette Loo, Kenneth G. Gilhuijs

Proceedings Volume 11314, 1131412 (2020) https://doi.org/10.1117/12.2549003

KEYWORDS: Breast, Magnetic resonance imaging, Image segmentation, Convolutional neural networks, Breast cancer, Cancer, Medical imaging

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Proceedings Article | 10 March 2020 Presentation + Paper

Mutual information for unsupervised deep learning image registration

Bob de Vos, Bas H. M. van der Velden, Jörg Sander, Kenneth G. A. Gilhuijs, Marius Staring, Ivana Išgum

Proceedings Volume 11313, 113130R (2020) https://doi.org/10.1117/12.2549729

KEYWORDS: Image registration, Magnetic resonance imaging, Breast, Medical imaging, Image enhancement, Infrared imaging, Image restoration, Image contrast enhancement, Cardiovascular magnetic resonance imaging, Quantitative analysis

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Proceedings Article | 13 March 2019 Presentation + Paper

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

Bas H. van der Velden, Bob de Vos, Claudette Loo, Hugo Kuijf, Ivana Išgum, Kenneth G. Gilhuijs

Proceedings Volume 10950, 109500D (2019) https://doi.org/10.1117/12.2508358

KEYWORDS: Tumors, Magnetic resonance imaging, Breast cancer, Breast, Image segmentation, Neural networks, Blood vessels, Cancer, Surgery, Medical imaging

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