Projects per year
Personal profile
Quote
"I aim at achieving better, faster, and more widely accessible 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 Associate 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 imaging exploiting signal structure and models to derive optimal estimators. He develops powerful signal processing and statistical inference solutions that efficiently leverage data / deep learning and model-based signal structure, predominantly applied to imaging problems. Applications span from ultrasound imaging and MRI to automotive radar.
Van Sloun received an ERC starting grant, an NWO VIDI grant, an NWO RUBICON grant, and a Google Faculty Research award. He also received the 2022 TU/e Young Researcher award.
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 and in industrial labs.
Affiliated with
Affiliated with
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
- 3 Finished
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Spectralligence AI211009: Spectral Analysis in life sciences and materials sciences through Artificial Intelligence
van Sloun, R. J. G. (Project Manager), Amirrajab, S. (Project member) & Merkofer, J. (Project member)
1/11/21 → 30/10/24
Project: Third tier
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Faculty Award RvS:Principled deep learning for robust next-gen medical ultrasound imaging
van Sloun, R. J. G. (Project Manager), van der Hagen, D. (Project communication officer), Gonzalez Carabarin, L. (Project member) & Amirrajab, S. (Project member)
11/03/20 → 30/06/23
Project: Research direct
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OP-SLEEP: Ontwikkeling Patiëntvriendelijk SLaap EEG Patch
Bergmans, J. W. M. (Project Manager), van Sloun, R. J. G. (Project member), Huijben, I. (Project member), Huijben, I. (Project member), van Gilst, M. M. (Project communication officer), Hermans, L. W. A. (Project member), van der Hagen, D. (Project communication officer) & Kunkels, Y. (Project member)
1/07/19 → 30/04/23
Project: Research direct
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Deep learning in ultrasound imaging
van Sloun, R. J. G. (Corresponding author), 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
210 Citations (Scopus)7 Downloads (Pure) -
Super-resolution Ultrasound Localization Microscopy through Deep Learning
van Sloun, R. J. G. (Corresponding author), 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 AccessFile106 Citations (Scopus)749 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 AccessFile128 Citations (Scopus)284 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 AccessFile326 Downloads (Pure) -
Learning sub-sampling and signal recovery with applications in ultrasound imaging
Huijben, I. A. M. (Corresponding author), 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
40 Citations (Scopus)17 Downloads (Pure)
Datasets
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Experimental acoustic characterisation of an endoskeletal antibubble contrast agent: first results
Panfilova, A. (Contributor), Chen, P. (Contributor), van Sloun, R. J. G. (Contributor), Wijkstra, H. (Contributor), Postema, M. (Contributor), Poortinga, A. T. (Contributor) & Mischi, M. (Contributor), Zenodo, 17 Sept 2021
DOI: 10.5281/zenodo.5514221, https://zenodo.org/record/5514221
Dataset
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The generalized finite amplitude insert substitution method for estimation of the ultrasound parameter of nonlinearity
Panfilova, A. (Speaker), Chen, X. (Speaker), van Sloun, R. J. G. (Speaker), Wijkstra, H. (Speaker), Sapozhnikov, O. (Speaker) & Mischi, M. (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
Panfilova, A. (Speaker), Shelton, S. E. (Speaker), Caresio, C. (Speaker), van Sloun, R. J. G. (Speaker), Molinari, F. (Speaker), Wijkstra, H. (Speaker), Dayton, P. A. (Speaker) & Mischi, M. (Speaker)
18 Jan 2018Activity: Talk or presentation types › Plenary talk › Scientific
Courses
Press/Media
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Researchers from Eindhoven University of Technology Report on Findings in Machine Learning (A Review of the Gumbel-max Trick and Its Extensions for Discrete Stochasticity In Machine Learning)
Huijben, I. & van Sloun, R. J. G.
1/03/23
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
Grisoni, F., van Sloun, R. J. G. & Schoukens, M.
23/11/22
1 item of Media coverage
Press/Media: Expert Comment
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Embarking on a new adventure with a huge European grant
Grisoni, F., van Sloun, R. J. G. & Schoukens, M.
22/11/22
3 items of Media coverage
Press/Media: Expert Comment
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Deep Learning for Real-time, Automatic, and Scanner-adapted Prostate (Zone) Segmentation of ...
Wijkstra, H., Mischi, M. & van Sloun, R. J. G.
13/05/19
1 item of Media coverage
Press/Media: Expert Comment
Research areas
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Cardiology
van Sloun, R. J. G. (Researcher), Harpe, P. J. A. (Researcher), Bax, N. A. M. (Content manager), van der Hagen, D. (Content manager) & Sanders, R. (Content manager)
Impact: Research Topic/Theme (at group level)