Open-H-RF: A Large-Scale Ultrasound Raw Channel Dataset Initiative

Stevens, Tristan S.W. et al. (2026), Preprint

Heavy-Tailed Denoising Diffusion for High Frame Rate Ultrasound Coherent Plane-Wave Compounding

Afrakhteh, Sajjad et al. (2026), IEEE 34th European Signal Processing Conference (EUSIPCO)

zea: A Toolbox for Cognitive Ultrasound Imaging

Stevens, Tristan S.W. et al. (2026), The Journal of Open Source Software

Patient-Adaptive Echocardiography using Cognitive Ultrasound

van Nierop, Wessel L. et al. (2026), IEEE Transactions on Medical Imaging

Ultrasound Imaging in the Era of Deep Generative Modeling

Stevens, Tristan S.W. (2026), Eindhoven University of Technology

Task-Based Adaptive Transmit Beamforming for Efficient Ultrasound Quantification

Nolan, Oisín et al. (2026), IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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)

Semantic Diffusion Posterior Sampling for Cardiac Ultrasound Dehazing

Stevens, Tristan S.W. et al. (2025), MICCAI DehazingEcho Challenge

High Volume Rate 3D Ultrasound Reconstruction with Diffusion Models

Stevens, Tristan S.W. et al. (2026), High Volume Rate 3D Ultrasound Reconstruction with Diffusion Models, IEEE Transactions on Medical Imaging

Deep Generative Models for Bayesian Inference on High-Rate Sensor Data: Applications in Automotive Radar and Medical Imaging

Stevens, Tristan S.W. et al. (2025), Philosophical Transactions of the Royal Society A

Sequential Posterior Sampling with Diffusion Models

Stevens, Tristan S.W. et al. (2025), IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

ULTRA-SR Challenge: Assessment of Ultrasound Localization and TRacking Algorithms for Super-Resolution Imaging

Lerendegui, Marcelo et al. (2024), IEEE Transactions on Medical Imaging

Active Diffusion Subsampling

Nolan, Oisín, Stevens, Tristan S.W. et al. (2025), Transactions on Machine Learning Research

Dehazing Ultrasound using Diffusion Models

Stevens, Tristan S.W. et al. (2024), Dehazing Ultrasound using Diffusion Models, IEEE Transactions on Medical Imaging

Removing Structured Noise with Diffusion Models

Stevens, Tristan S.W. et al. (2025), Transactions on Machine Learning Research

A Hybrid Deep Learning Pipeline for Improved Ultrasound Localization Microscopy

Stevens, Tristan S.W. et al. (2022), International Ultrasonics Symposium (IUS)

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)

Deep Proximal Unfolding For Image Recovery from Under-Sampled Channel Data in Intravascular Ultrasound

Chennakeshava, Nish et al. (2022), IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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)

Deep Learning for Radar Target Detection in Non-Homogeneous Clutter

Stevens, Tristan S.W. et al. (2019), Preprint