Hessel Wijkstra

Personal profile

Quote

“Engineers need to truly become part of the medical world and understand the requirements and needs of clinicians to be able to deliver the improvements they are capable of.”

Research profile

Hessel Wijkstra is part-time Full Professor in the Signal Processing Systems group. He is also principal investigator in the department of Urology of the AMC in Amsterdam. His research focuses on medical imaging, especially contrast-enhanced ultrasound. His main interest is the clinical validation and implementation of advanced imaging technology as developed in the Signal Processing Systems group.

The focus of research is initially on prostate cancer - hard to visualize, usually only detected at a late stage and the second-highest cause of cancer deaths in men. Perfecting visualization techniques for prostate cancer would enable more effective screening, targeted biopsies and more timely and less radical treatments. The technology can be applied to other cancer types as well. Angiogenesis, the aberrant growth of new blood vessels that supplies growing tumors with the oxygen and nutrients to become malignant, is a factor in most cancers.

Wijkstra, an engineer among urologists and a urologist among engineers, believes engineers can help generate tremendous progress in medical care, improve diagnostics and treatment and help to realize more cost-effective care.

Academic background

Hessel Wijkstra holds an MSc and PhD in Electrical Engineering from Twente University. His interest in medical and clinical research led him to accept an appointment at the Urology department of the Radboud Medical Center in 1989. In 2004 he moved to the Urology department at the Academic Medical Center in Amsterdam in 2004. His intensive collaboration with Massimo Mischi at the Eindhoven University of Technology led to an appointment as part-time professor in the Signal Processing Systems group in 2010.

External positions

Principal Investigator, Academic Medical Centre Amsterdam

1 Oct 2003 → …

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Research Output

Artificial intelligence in multiparametric prostate cancer imaging with focus on deep-learning methods

Wildeboer, R. R., van Sloun, R. J. G., Wijkstra, H. & Mischi, M., Jun 2020, In : Computer Methods and Programs in Biomedicine. 189, 15 p., 105316.

Research output: Contribution to journal › Review article › Academic › peer-review

2 Citations (Scopus)

Automated multiparametric localization of prostate cancer based on B-mode, shear-wave elastography, and contrast-enhanced ultrasound radiomics

Wildeboer, R. R., Mannaerts, C. K., van Sloun, R. J. G., Budäus, L., Tilki, D., Wijkstra, H., Salomon, G. & Mischi, M., Feb 2020, In : European Radiology. 30, 2, p. 806-815 10 p.

Research output: Contribution to journal › Article › Academic › peer-review

Open Access

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1 Citation (Scopus)

23 Downloads (Pure)

Blind source separation for clutter and noise suppression in ultrasound imaging: review for different applications

Wildeboer, R. R., Sammali, F., van Sloun, R. J. G., Huang, Y., Chen, P., Bruce, M., Rabotti, C., Shulepov, S., Salomon, G., Schoot, B. C., Wijkstra, H. & Mischi, M., 20 Feb 2020, In : IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

Research output: Contribution to journal › Article › Academic › peer-review

Cancer detection rates of systematic and targeted prostate biopsies after biparametric MRI

Gayet, M. C. W., van der Aa, A. A. M. A., Beerlage, H. P., Schrier, B. P., Gielens, M., Heesakkers, R., Jager, G. J., Mulders, P. F. A. & Wijkstra, H., 3 Apr 2020, In : Prostate Cancer. 2020, p. 4626781 6 p., 4626781.

Research output: Contribution to journal › Article › Academic › peer-review

Open Access

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