Projects per year
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
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
Projects
- 2 Active
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Faculty Award RvS:Principled deep learning for robust next-gen medical ultrasound imaging
van Sloun, R. J. G. & van der Hagen, D.
11/03/20 → 30/04/22
Project: Research direct
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OP-SLEEP: Ontwikkeling Patiëntvriendelijk SLaap EEG Patch
Bergmans, J. W. M., van Sloun, R. J. G., Huijben, I., Huijben, I., van Gilst, M. M., Hermans, L. W. A. & van der Hagen, D.
1/07/19 → 30/06/22
Project: Research direct
Research output
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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 journal › Article › Academic › peer-review
Open AccessFile7 Citations (Scopus)59 Downloads (Pure) -
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. 1660-1664Research output: Contribution to journal › Article › Academic › peer-review
26 Citations (Scopus)6 Downloads (Pure) -
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 journal › Article › Academic › peer-review
16 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 10 p.Research output: Contribution to journal › Article › Academic › peer-review
Open Access33 Citations (Scopus)1 Downloads (Pure) -
Viscoelasticity mapping by identification of local shear wave dynamics
van Sloun, R. J. G., Wildeboer, R. R., Wijkstra, H. & Mischi, M., Nov 2017, In: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 64, 11, p. 1666-1673 8 p., 8015181.Research output: Contribution to journal › Article › Academic › peer-review
15 Citations (Scopus)3 Downloads (Pure)
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The generalized finite amplitude insert substitution method for estimation of the ultrasound parameter of nonlinearity
Anastasiia Panfilova (Speaker), Xufei Chen (Speaker), Ruud J.G. van Sloun (Speaker), Hessel Wijkstra (Speaker), Oleg Sapozhnikov (Speaker) & Massimo Mischi (Speaker)
8 Dec 2020Activity: Talk or presentation types › Contributed talk › Scientific
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On what dynamic contrast-enhanced ultrasound tells us about the underlying vascular architecture
Anastasiia Panfilova (Speaker), Sarah E. Shelton (Speaker), Cristina Caresio (Speaker), Ruud J.G. van Sloun (Speaker), Filippo Molinari (Speaker), Hessel Wijkstra (Speaker), Paul A. Dayton (Speaker) & Massimo Mischi (Speaker)
18 Jan 2018Activity: Talk or presentation types › Plenary talk › Scientific
Courses
Press/Media
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Intelligent Lung Ultrasound Provides Crucial Support for COVID-19 Testing Within Minutes
3/06/21
1 item of Media coverage
Press/Media: Expert Comment
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-Eindhoven University of Technology: Intelligent lung ultrasound provides crucial support for COVID-19 testing within minutes
14/05/20
2 items of Media coverage
Press/Media: Expert Comment
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Intelligent lung ultrasound provides crucial support for COVID-19 testing within minutes
13/05/20 → 14/05/20
3 items of Media coverage
Press/Media: Expert Comment
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AI enhanced lung ultrasound for COVID-19 testing
13/05/20
1 item of Media coverage
Press/Media: Expert Comment