Bas van der Velden

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.

Publications

• 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. Mar 2022 in Advances in Radiation Oncology 7 (2), p. 1-11
• 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 Jan 2022 in Radiology 302 (1), p. 29-36
• 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
• Leveraging Clinical Characteristics for Improved Deep Learning-Based Kidney Tumor Segmentation on CT
  Lund, Christina B., van der Velden, Bas sep 2021 in Leveraging Clinical Characteristics for Improved Deep Learning-Based Kidney Tumor Segmentation on CT: Leveraging Clinical Characteristics for Improved Deep Learning-Based Kidney Tumor Segmentation on CT p. 1-9 (; vol. )
• 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 Jul 2021 in Investigative Radiology 56 (7), p. 442-449
• 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. Jul 2021 in The British journal of radiology 94 (1123), p. 1-10
• 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 Dec 2021 in The Breast 60 p. 230-237
• 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 in MixLacune: Segmentation of lacunes of presumed vascular origin: "Where is VALDO?" challenge, MICCAI 2021 p. (; vol. )
• MixMicrobleed: Multi-stage detection and segmentation of cerebral microbleeds
  Girones Sanguesa, Marta, Kutnar, Denis, van der Velden, Bas, Kuijf, Hugo 2021 in MixMicrobleed: Multi-stage detection and segmentation of cerebral microbleeds: "Where is VALDO?" challenge, MICCAI 2021 p. (; vol. )
• 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 Aug 2020 in Radiology 296 (2), p. 277-287
• 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 Jun 2020 in Journal of Magnetic Resonance Imaging 51 (6), p. 1858-1867
• 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 Dec 2020 in European Radiology 30 (12), p. 6740-6748
• 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 Nov 2020 in Journal of Magnetic Resonance Imaging 52 ( 5), p. 1374-1382
• 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 Oct 2020 in Scientific Reports 10 (1),
• 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. jan 2020 in Interpretable deep learning regression for breast density estimation on MRI: Medical Imaging 2020 p. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11314)
• Mutual information for unsupervised deep learning image registration
  de Vos, Bob D., van der Velden, Bas H.M., Sander, Jörg, Gilhuijs, Kenneth G.A., Staring, Marius, Išgum, Ivana 2020 in Mutual information for unsupervised deep learning image registration: Medical Imaging 2020 p. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11313)
• 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 Dec 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 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