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

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

Assistant Professor
dr. ir. B.H.M. (Bas) van der Velden
  • 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 (37)

HOW TO ACCURATELY MEASURE VOLUMES IN WILMS TUMORS ON MRI

Buser Myrthe, Van Der Steeg Alida, Wijnen Marc, Fitski Matthijs, Van Den Nieuwenhof Heleen, Van Den Heuvel-Eibrink Marry, Littooij Annemieke, Van Der Velden Bas Nov 2022, In: Pediatric Blood & Cancer. 69

Validation of Combined Deep Learning Triaging and Computer-Aided Diagnosis in 2901 Breast MRI Examinations From the Second Screening Round of the Dense Tissue and Early Breast Neoplasm Screening 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 17 Oct 2022, In: Investigative Radiology. 58 , p. 293-298 6 p.

Explainable artificial intelligence (XAI) in deep learning-based medical image analysis

van der Velden Bas H M, Kuijf Hugo J, Gilhuijs Kenneth G A, Viergever Max A Jul 2022, In: Medical Image Analysis. 79 , p. 1-21

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. 8 Apr 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.

Leveraging Clinical Characteristics for Improved Deep Learning-Based Kidney Tumor Segmentation on CT

Lund Christina B., van der Velden Bas 27 Sep 2021, p. 1-9 9 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.

All research output

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