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个人简介
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).
研究兴趣
论文共 187 篇作者统计合作学者相似作者
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IEEE Transactions on Medical Imagingpp.1-1, (2024)
Rodrigo Pommot Berto,Hanna Bugler, Gabriel Dias,Mateus Oliveira,Lucas Ueda,Sergio Dertkigil,Paula D. P. Costa,Leticia Rittner,Julian P. Merkofer,Dennis M. J. van de Sande,Sina Amirrajab,Gerhard S. Drenthen,Mitko Veta,Jacobus F. A. Jansen,Marcel Breeuwer,Ruud J. G. van Sloun,Abdul Qayyum,Cristobal Rodero,Steven Niederer,Roberto Souza,Ashley D. Harris
Magnetic Resonance Materials in Physics, Biology and Medicineno. 3 (2024): 1-15
IEEE TRANSACTIONS ON SIGNAL PROCESSING (2024): 352-367
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Controlno. 99 (2024): 1-1
IEEE International Conference on Acoustics, Speech, and Signal Processingpp.5635-5639, (2024)
CoRR (2024)
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Marcelo Lerendegui,Kai Riemer,Georgios Papageorgiou,Bingxue Wang,Lachlan Arthur,Arthur Chavignon,Tao Zhang,Olivier Couture, Pingtong Huang,Md Ashikuzzaman,Stefanie Dencks,Chris Dunsby,Brandon Helfield,Jorgen Arendt Jensen,Thomas Lisson,Matthew R Lowerison,Hassan Rivaz,Anthony E Samir,Georg Schmitz,Scott Schoen,Ruud van Sloun,Pengfei Song,Tristan Stevens,Jipeng Yan,Vassilis Sboros,Meng-Xing Tang
IEEE transactions on medical imagingpp.1-1, (2024)
Fons Schipper,Angela Grassi,Marco Ross,Andreas Cerny,Peter Anderer,Lieke Hermans,Fokke van Meulen, Mickey Leentjens, Emily Schoustra, Pien Bosschieter,Ruud J G van Sloun,Sebastiaan Overeem,Pedro Fonseca
Sensors (Basel, Switzerland)no. 17 (2024)
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作者统计
#Papers: 186
#Citation: 2493
H-Index: 24
G-Index: 47
Sociability: 6
Diversity: 3
Activity: 104
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