Tristan Stevens
Hi!
I am a postdoctoral researcher at Eindhoven University of Technology (TU/e). I research the use of generative models for signal processing applications, ranging from medical imaging to semiconductor manufacturing and automotive radar. My research interests are centered around fundamental probabilistic machine learning techniques and the possibility of integrating them with classical signal processing methods. I am the co-creater of the zea Python package for cognitive ultrasound imaging. Currently, I am also a member of the EURASIP Academy. Besides my research, I love to play guitar, trumpet, chess, code, and climb rock.
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
- Obtained my PhD with honors! Check out the thesis here and an article here (EN) or here (NL).
- Two papers accepted at ICASSP 2026! Nuclear Diffusion Models and Task-Based Adaptive Beamforming
- High Volume Rate 3D Ultrasound Reconstruction with Diffusion Models was accepted for publication at IEEE TMI!
- We released zea, a toolbox for cognitive ultrasound imaging. Check it out here!
Publications
26 Jan 2026
Ultrasound Imaging in the Era of Deep Generative Modeling
Stevens, Tristan S.W. (2026), Eindhoven University of Technology
16 Jan 2026
Task-Based Adaptive Beamforming for Efficient Ultrasound Quantification
Nolan, Oisín, et al. (2026), IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
12 Sep 2025
Nuclear Diffusion Models for Low-Rank Background Suppression in Videos
Stevens, Tristan S.W., et al. (2026), IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
24 Aug 2025
Semantic Diffusion Posterior Sampling for Cardiac Ultrasound Dehazing
Stevens, Tristan S.W., et al. (2025), Preprint
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, IEEE Transactions on Medical Imaging
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