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Personal profile

Quote

"I work in artificial intelligence from sensor to interpretation – achieving better, faster and widely-accessible medical diagnostics through sensing systems that efficiently learn how to optimally sense, process, and interpret real-world signals."

Research profile

Ruud van Sloun is an Assistant Professor in the Signal Processing Systems group of the Electrical Engineering department at Eindhoven University of Technology (TU/e). He works on advanced and intelligent sensing and signal processing algorithms, with a special focus on artificial intelligence in diagnostic ultrasound imaging.
He has a background in probabilistic signal processing for ultrasound-based cancer localization and exploiting signal structure and models to derive optimal estimators. After his PhD, this background has become intertwined with artificial intelligence (AI) and deep learning, to develop powerful signal processing solutions that efficiently leverage data and model-based signal structure. Applications span from AI-driven ultrasound beamforming and image formation to clutter suppression and super-resolution imaging.
Van Sloun has contributed to over 50 scientific publications and 4 patents. In 2019, he received a RUBICON grant on deep learning for next-gen ultrasound from The Netherlands Organization for Scientific Research (NWO).

 

Academic background

Ruud van Sloun studied Electrical Engineering at Eindhoven University of Technology (TU/e) where he received cum laude MSc and PhD degrees in 2014 and 2018, respectively. In January 2018, he joined TU/e as an Assistant Professor. Since then, he has been working on artificial intelligence and signal processing for diagnostic (imaging) applications, spending a significant amount of time at foreign research institutes. Van Sloun also acts as a consultant for Philips Research, where he works one day per week.

Affiliated with

Affiliated with

  • Philips Research

 

Partners in (semi-)industry

  • Philips Research
  • Onera

Fingerprint Dive into the research topics where Ruud J.G. van Sloun is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 3 Similar Profiles
Ultrasonics Engineering & Materials Science
Contrast Media Medicine & Life Sciences
Prostatic Neoplasms Medicine & Life Sciences
angiography Physics & Astronomy
Imaging techniques Engineering & Materials Science
Ultrasonography Medicine & Life Sciences
acoustics Physics & Astronomy
Direction of arrival Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2013 2019

2 Citations (Scopus)

Contrast-enhanced ultrasound tractography for 3D vascular imaging of the prostate

van Sloun, R. J. G., Demi, L., Schalk, S. G., Caresio, C., Mannaerts, C., Postema, A. W., Molinari, F., van der Linden, H. C., Huang, P., Wijkstra, H. & Mischi, M., 1 Dec 2018, In : Scientific Reports. 8, 1, 8 p., 14640

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Diffusion Tensor Imaging
Blood Vessels
Prostate
Neoplasms
Magnetic Resonance Imaging
16 Citations (Scopus)

Compressed sensing for ultrasound computed tomography

Sloun, van, R. J. G., Pandharipande, A., Mischi, M. & Demi, L., 2015, In : IEEE Transactions on Biomedical Engineering. 62, 2, p. 1660-1664

Research output: Contribution to journalArticleAcademicpeer-review

Compressed sensing
Tomography
Ultrasonics
Acoustic wave velocity
Iterative methods
9 Citations (Scopus)

Entropy of ultrasound-contrast-agent velocity fields for angiogenesis imaging in prostate cancer

van Sloun, R. J. G., Demi, L., Postema, A. W., de la Rosette, J. J. M. C. H., Wijkstra, H. & Mischi, M., 1 Mar 2017, In : IEEE Transactions on Medical Imaging. 36, 3, p. 826-837 12 p., 7745886

Research output: Contribution to journalArticleAcademicpeer-review

Entropy
Contrast Media
Prostatic Neoplasms
Ultrasonics
Imaging techniques
18 Citations (Scopus)

Ultrasound-contrast-agent dispersion and velocity imaging for prostate cancer localization

van Sloun, R. J. G., Demi, L., Postema, A., de la Rosette, J. J. M. C. H. J., Wijkstra, H. & Mischi, M., Jan 2017, In : Medical Image Analysis. 35, Januari 2017, p. 610-619

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
Contrast Media
Prostatic Neoplasms
Ultrasonics
Imaging techniques
Microbubbles
2 Citations (Scopus)

Viscoelasticity mapping by identification of local shear wave dynamics

van Sloun, R. J. G., Wildeboer, R. R., Wijkstra, H. & Mischi, M., 30 Oct 2017, In : IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control. 64, 11, p. 1666-1673 8 p.

Research output: Contribution to journalArticleAcademicpeer-review

Shear waves
viscoelasticity
Viscoelasticity
S waves
lesions

Courses

Extension Internship CS

1/09/18 → …

Course

Extension Internship ECO

1/09/18 → …

Course

Extension Internship EE

1/09/16 → …

Course

Extension Internship EES

1/09/18 → …

Course

Student theses

Adversarial deep learning in super resolution ultrasound

Author: Jeukendrup, K., 31 Jan 2019

Supervisor: van Sloun, R. (Supervisor 1)

Student thesis: Master