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Personal profile
Quote
There is no absolute truth, only inference.
Research profile
Simon Penninga has studied Electrical Engineering and Applied Physics at Eindhoven University of Technology (TU/e) where he received the double master's degree in 2024. Since then, he joined TU/e as a doctoral candidate, working on deep learning for ultrasound imaging applications.
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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Research output
- 1 Conference contribution
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Deep Sylvester Posterior Inference for Adaptive Compressed Sensing in Ultrasound Imaging
Penninga, S. W., van Gorp, H. & van Sloun, R. J. G., 7 Mar 2025, ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing. Institute of Electrical and Electronics Engineers, 5 p. 10888253Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open Access
Thesis
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Cognitive Ultrasound Imaging
Penninga, S. W. (Author), van Sloun, R. J. G. (Supervisor 1) & van Pul, C. (Supervisor 2), Apr 2024Student thesis: Master
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