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Bio
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).
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).
Research Interests
Papers共 183 篇Author StatisticsCo-AuthorSimilar Experts
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Journal of sleep researchno. 3 (2024): e14096-e14096
arXiv (Cornell University)no. 99 (2024): 1-1
Magnetic Resonance Materials in Physics, Biology and Medicineno. 3 (2024): 1-15
IEEE International Conference on Acoustics, Speech, and Signal Processingpp.5635-5639, (2024)
CoRR (2024)
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IEEE TRANSACTIONS ON SIGNAL PROCESSING (2024): 352-367
arxiv(2024)
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IEEE Transactions on Signal Processingno. 99 (2024): 1-16
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Author Statistics
#Papers: 183
#Citation: 2485
H-Index: 23
G-Index: 47
Sociability: 6
Diversity: 3
Activity: 90
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