Deep Generative Models

Task-Based Adaptive 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), Preprint

Patient-Adaptive Focused Transmit Beamforming using Cognitive Ultrasound

van Nierop, Wessel L., Nolan, Oisín, Stevens, Tristan S.W., et al. (2025), Preprint

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

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)

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. (2023), 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