Tristan Stevens
Hi!
I am a Ph.D. research student at BM/d (Biomedical Diagnostics Lab) at the faculty of Electrical Engineering at Eindhoven University of Technology and Philips Research. My expertise is centered at the intersection of signal processing and machine learning. I have been interested in applying these techniques to a variety of applications, including medical imaging and radar.
This website serves two purposes. Beside an overview of my work, I also try to post some interesting articles on things I learned or figured out that might be useful to anyone.
News
- We released zea, a toolbox for cognitive ultrasound imaging. Check it out here!
- New preprint: Patient-Adaptive Focused Transmit Beamforming using Cognitive Ultrasound
- New preprint: High Volume Rate 3D Ultrasound Reconstruction with Diffusion Models
Publications
12 Aug 2025
Patient-Adaptive Focused Transmit Beamforming using Cognitive Ultrasound
van Nierop, Wessel L., Nolan, Oisín, Stevens, Tristan S.W., et al. (2025), Preprint
21 Jul 2025
zea: A Toolbox for Cognitive Ultrasound Imaging
Stevens, Tristan S.W., et al. (2025), The Journal of Open Source Software (in review)
28 May 2025
High Volume Rate 3D Ultrasound Reconstruction with Diffusion Models
Stevens, Tristan S.W., et al. (2025), High Volume Rate 3D Ultrasound Reconstruction with Diffusion Models, Preprint
16 Apr 2025
Stevens, Tristan S.W., et al. (2025), Philosophical Transactions of the Royal Society A
9 Sep 2024
Sequential Posterior Sampling with Diffusion Models
Stevens, Tristan S.W., et al. (2025), IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
21 Jun 2024
Nolan, Oisín, Stevens, Tristan S.W., et al. (2025), Transactions on Machine Learning Research
21 Jul 2023
Dehazing Ultrasound using Diffusion Models
Stevens, Tristan S.W., et al. (2023), Dehazing Ultrasound using Diffusion Models, IEEE Transactions on Medical Imaging
10 Jan 2023
Removing Structured Noise with Diffusion Models
Stevens, Tristan S.W., et al. (2025), Transactions on Machine Learning Research
1 Dec 2022
A Hybrid Deep Learning Pipeline for Improved Ultrasound Localization Microscopy
Stevens, Tristan S.W., et al. (2022), International Ultrasonics Symposium (IUS)
23 May 2022
Accelerated Intravascular Ultrasound Imaging using Deep Reinforcement Learning
Stevens, Tristan S.W., et al. (2022), IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
23 May 2022
Chennakeshava, Nish, et al. (2022), IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
23 Aug 2021
Automated Gain Control Through Deep Reinforcement Learning for Downstream Radar Object Detection
Stevens, Tristan S.W., et al. (2021), IEEE 29th European Signal Processing Conference (EUSIPCO)
21 Oct 2019
Deep Learning for Radar Target Detection in Non-Homogeneous Clutter
Stevens, Tristan S.W., et al. (2019), Preprint