Projects per year
Personal profile
Quote
"I aim at achieving better, faster, and more widely accessible (medical) imaging through the design of intelligent systems that efficiently learn how to optimally and autonomously 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 sensing and signal processing algorithms, with a special focus on deep learning methods for image formation and reconstruction problems. 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 machine and deep learning, to develop powerful signal processing solutions that efficiently leverage both data and model-based signal structure. Applications span from ultrasound beamforming and image formation to clutter suppression and super-resolution imaging.
Van Sloun has contributed to over 40 journal 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), and in 2021 the Google Faculty Research award on model-based deep learning for imaging.
Academic background
Ruud van Sloun studied Electrical Engineering at Eindhoven University of Technology (TU/e) where he received the MSc and PhD degrees (both cum laude) in 2014 and 2018, respectively. In January 2018, he joined TU/e as an Assistant Professor. Since then, he has been working on deep learning and signal processing for diagnostic (imaging) applications, spending a significant amount of time at foreign research institutes. Van Sloun also acts as a kickstart-AI fellow 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):
Network
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., Gonzalez Carabarin, L. & Amirrajab, S.
11/03/20 → 30/06/23
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. & Kunkels, Y.
1/07/19 → 30/04/23
Project: Research direct
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Deep learning in ultrasound imaging
van Sloun, R. J. G., Cohen, R. & Eldar, Y. C., Jan 2020, In: Proceedings of the IEEE. 108, 1, p. 11-29 19 p., 8808885.Research output: Contribution to journal › Article › Academic › peer-review
122 Citations (Scopus)4 Downloads (Pure) -
Super-resolution Ultrasound Localization Microscopy through Deep Learning
van Sloun, R. J. G., Solomon, O., Bruce, M., Khaing, Z. Z., Wijkstra, H., Eldar, Y. C. & Mischi, M., Mar 2021, In: IEEE Transactions on Medical Imaging. 40, 3, p. 829-839 11 p., 9257449.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile37 Citations (Scopus)217 Downloads (Pure) -
Adaptive ultrasound beamforming using deep learning
Luijten, B., Cohen, R., de Bruijn, F. J., Schmeitz, H. A. W., Mischi, M., Eldar, Y. C. & Sloun, R. J. G. V., Dec 2020, In: IEEE Transactions on Medical Imaging. 39, 12, p. 3967-3978 12 p., 9138451.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile64 Citations (Scopus)119 Downloads (Pure) -
Deep probabilistic subsampling for task-adaptive compressed sensing
Huijben, I., Veeling, B. S. & van Sloun, R. J. G., 2020. 17 p.Research output: Contribution to conference › Paper › Academic
Open AccessFile65 Downloads (Pure) -
Learning sub-sampling and signal recovery with applications in ultrasound imaging
Huijben, I. A. M., Veeling, B. S., Janse, K., Mischi, M. & Sloun, R. J. G. V., 1 Dec 2020, In: IEEE Transactions on Medical Imaging. 39, 12, p. 3955-3966 12 p., 9138467.Research output: Contribution to journal › Article › Academic › peer-review
21 Citations (Scopus)17 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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Young research talents off to foreign top institutes thanks to Rubicon
Ruud J.G. van Sloun & Tommaso Ristori
15/04/19
1 item of Media coverage
Press/Media: Expert Comment
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Eindhoven University of Technology Reports Findings in Electronics (Ultrasound Signal Processing: From Models to Deep Learning)
Massimo Mischi, Ruud J.G. van Sloun & Nishith Chennakeshava
31/01/23
1 item of Media coverage
Press/Media: Expert Comment
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Eindhoven University of Technology: Embarking On A New Adventure With A Huge European Grant
Ruud J.G. van Sloun, Maarten Schoukens & Francesca Grisoni
23/11/22
1 item of Media coverage
Press/Media: Expert Comment
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Embarking on new adventure with ERC grant
Ruud J.G. van Sloun, Maarten Schoukens & Francesca Grisoni
22/11/22
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
3/06/21
1 item of Media coverage
Press/Media: Expert Comment
Impacts
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Cardiology
Ruud J.G. van Sloun (Researcher), Pieter J.A. Harpe (Researcher), Noortje A.M. Bax (Content manager), Daniëlle van der Hagen (Content manager) & Rianne Sanders (Content manager)
Impact: Research Topic/Theme (at group level)