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
- Active Diffusion Subsampling new preprint on arXiv!
- Dehazing Ultrasound using Diffusion Models was accepted to IEEE Transactions on Medical Imaging (TMI)!
Publications
21 Jun 2024
Nolan, OisÃn, Stevens, Tristan S.W., et al. (2024), Preprint
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. (2022), Preprint
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)