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mr. ing. B.C. (Bas) van der Delsing

mr. ing. B.C. (Bas) van der Delsing

Assistant Professor
mr. ing. B.C. (Bas) van der Delsing
  • Image Sciences Institute

Research Programs

Strategic Program Cancer

Biography

Biography

dr.ir. Bas van der Velden is a senior postdoctoral researcher interested in predicting outcome of cancer patients using advanced image analysis, with a focus on eXplainable Artificial Intelligence (XAI).

He has a PhD in Medical Imaging from the Image Sciences Institute (University Medical Center Utrecht) and a MSc degree in Medical Engineering from the Eindhoven University of Technology. He has research experience abroad at Memorial Sloan Kettering Cancer Center and UC Berkeley.

Research Output (33)

Dynamic Contrast-enhanced and Diffusion-weighted Magnetic Resonance Imaging for Response Evaluation After Single-Dose Ablative Neoadjuvant Partial Breast Irradiation

Vasmel Jeanine E., Groot Koerkamp Maureen L., Mandija Stefano, Veldhuis Wouter B., Moman Maaike R., Froeling Martijn, van der Velden Bas H.M., Charaghvandi Ramona K., Vreuls Celien P.H., van Diest Paul J., van Leeuwen A. M.Gijs, van Gorp Joost, Philippens Marielle E.P., van Asselen Bram, Lagendijk Jan J.W., Verkooijen Helena M., van den Bongard H. J.G.Desirée, Houweling Antonetta C. 1 Mar 2022, In: Advances in Radiation Oncology. 7 , p. 1-11

Population-based estimates of overtreatment with adjuvant systemic therapy in early breast cancer patients with data from the Netherlands and the USA

Ragusi M.A.A., van der Velden B.H.M., van Maaren M.C., van der Wall E., van Gils C. H., Pijnappel R. M., Gilhuijs K.G.A., Elias S.G. 2022, In: Breast Cancer Research and Treatment. 193 , p. 161-173 13 p.

Multi-modal Volumetric Concept Activation to Explain Detection and Classification of Metastatic Prostate Cancer on PSMA-PET/CT

Kraaijveld R. C.J., Philippens M. E.P., Eppinga W. S.C., Jürgenliemk-Schulz I. M., Gilhuijs K. G.A., Kroon P. S., van der Velden B. H.M. 2022, p. 82-92 11 p.

Contralateral parenchymal enhancement on MRI is associated with tumor proteasome pathway gene expression and overall survival of early ER+/HER2-breast cancer patients

Ragusi Max A A, Bismeijer Tycho, van der Velden Bas H M, Loo Claudette E, Canisius Sander, Wesseling Jelle, Wessels Lodewyk F A, Elias Sjoerd G, Gilhuijs Kenneth G A 2 Nov 2021, In: The Breast. 60 , p. 230-237 8 p.

Deep Learning for Automated Triaging of 4581 Breast MRI Examinations from the DENSE Trial

Verburg Erik, van Gils Carla H, van der Velden Bas H M, Bakker Marije F, Pijnappel Ruud M, Veldhuis Wouter B, Gilhuijs Kenneth G A 5 Oct 2021, In: Radiology. 302 , p. 29-36 8 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.

Prognostic value of breast MRI characteristics before and during neoadjuvant endocrine therapy in patients with ER+/HER2- breast cancer

Ragusi Max Aa, Winter-Warnars Gonneke Ao, Wesseling Jelle, Linn Sabine C., Beets-Tan Regina G., van der Velden Bas Hm, Elias Sjoerd G., Gilhuijs Kenneth Ga, Loo Claudette E. 1 Jul 2021, In: The British journal of radiology. 94 , p. 1-10 10 p.

MixLacune: Segmentation of lacunes of presumed vascular origin

Kutnar Denis, van der Velden Bas, Girones Sanguesa Marta, Geerlings Mirjam I, Biesbroek Matthijs, Kuijf Hugo 2021, 10 p.

MixMicrobleed: Multi-stage detection and segmentation of cerebral microbleeds

Girones Sanguesa Marta, Kutnar Denis, van der Velden Bas, Kuijf Hugo 2021, 8 p.

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 Oct 2020, In: Scientific Reports. 10

All research output

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