基本信息
浏览量:20
职业迁徙
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 182 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
arXiv (Cornell University)no. 99 (2024): 1-1
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,
Magnetic Resonance Materials in Physics, Biology and Medicinepp.1-15, (2024)
IEEE TRANSACTIONS ON SIGNAL PROCESSING (2024): 352-367
Raoul Melaet, Ivar R de Vries, René D Kok,S Guid Oei,Iris A M Huijben,Ruud J G van Sloun, Judith O E H van Laar,Rik Vullings
European journal of obstetrics, gynecology, and reproductive biology (2024): 75-85
IEEE Trans. Veh. Technol.no. 2 (2024): 2771-2785
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn