Bas van der Velden

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

• 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 feb 2019 in Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing: SPIE Medical Imaging p. (; vol. )
• 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 (Supplement 3), p. S49-S50
• 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 (11), p. 4705-4716
• Eligibility of patients for minimally invasive breast cancer therapy based on MRI analysis of tumor proximity to skin and pectoral muscle
  Merckel, LG, Verburg, Erik, van der Velden, Bas H M, Loo, Claudette E., van den Bosch, Maurice A A J, Gilhuijs, Kenneth G A 2018 in The Breast Journal 24 (4), p. 501-508
• Eigentumors for prediction of treatment failure in patients with early-stage breast cancer using dynamic contrast-enhanced MRI: a feasibility study
  Chan, HM, van der Velden, Bas H M, Loo, Claudette E., Gilhuijs, Kenneth G A 2017 in Physics in Medicine and Biology 62 (16), p. 6467-6485
• Complementary value of contralateral parenchymal enhancement on DCE-MRI to prognostic models and molecular assays in high-risk ER+HER2- breast cancer
  van der Velden, Bas H M, Elias, Sjoerd G, Bismeijer, Tycho, Loo, Claudette E., Viergever, Max A, Wessels, Lodewyk F A, Gilhuijs, Kenneth G A 2017 in Clinical Cancer Research 23 (21), p. 6505-6515
• Prediction Model For Extensive Ductal Carcinoma In Situ Around Early-Stage Invasive Breast Cancer
  Knuttel, Floortje M., van der Velden, Bas H M, Loo, Claudette E, Elias, Sjoerd G, Wesseling, Jelle, van den Bosch, Maurice A A J, Gilhuijs, Kenneth G A Jul 2016 in Investigative Radiology 51 (7), p. 462-468
• Determining the bias and variance of a deterministic finger-tracking algorithm
  Morash, Valerie S., van der Velden, Bas H M Jun 2016 in Behavior Research Methods 48 (2), p. 772-782
• Prediction model for extensive ductal carcinoma in situ around early-stage invasive breast cancer
  Knuttel, F., van der Velden, B., Loo, C., Elias, S., Wesseling, J., Van den Bosch, M., Gilhuijs, K. Apr 2016 in European Journal of Cancer 57 p. S86-S87
• Parenchymal enhancement of the contralateral breast in DCE-MRI and outcome of patients with early breast cancer: complementary value of the 70-gene signature
  Van der Velden, B. H. M., Loo, C. E., Gilhuijs, K. G. A. Apr 2016 in European Journal of Cancer 57 p. S17-S17
• Prediction of the 70-gene signature in early breast cancer patients using computer-derived DCE-MRI features of the tumor and intramammary blood vessels
  Van der Velden, B. H. M., Schmitz, A. M. T., Chan, H. M., Loo, C. E., Gilhuijs, K. G. A. Apr 2016 in European Journal of Cancer 57 p. S17-S17
• Association between computer-derived features of the ipsilateral breast on DCE-MRI and the 70-gene signature in patients with invasive breast cancer
  van der Velden, B. H. M., Schmitz, A. M. T. H., Loo, C. E., Gilhuijs, K. G. A. Feb 2016 in Cancer Research 76 (S4), p. P4-02-07
• Deep learning for multi-task medical image segmentation in multiple modalities
  Moeskops, Pim, Wolterink, Jelmer M., van der Velden, Bas H M, Gilhuijs, Kenneth G A, Leiner, Tim, Viergever, Max A., Išgum, Ivana 2016 in Deep learning for multi-task medical image segmentation in multiple modalities: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings p. 478-486 (Lecture Notes in Computer Science; vol. 9901 )
• Association between Parenchymal Enhancement of the Contralateral Breast in Dynamic Contrast-enhanced MR Imaging and Outcome of Patients with Unilateral Invasive Breast Cancer
  van der Velden, Bas, Dmitriev, Ivan, Loo, C.E., Pijnappel, Ruud, Gilhuijs, Kenneth Sep 2015 in Radiology 276 (3), p. 675-685
• Evaluation of image-based bias field correction at 7T
  van Rijssel, Mike, Pluim, JPW, van der Velden, Bas, van der Velden, Tijl, Krikken, E, Wijnen, Jannie, Gilhuijs, Kenneth, Klomp, DWJ oct 2015 at Evaluation of image-based bias field correction at 7T