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Tristan S. W. Stevens

3 accepted papers

2025

Sequential Posterior Sampling with Diffusion Models

ICASSP 2025accepted

Diffusion models have quickly risen in popularity for their ability to model complex distributions and perform effective posterior sampling. Unfortunately, the iterative nature of these generative models makes them computationally expensive and unsuitable for real-time sequential inverse problems su…

Cited by 0SourceScholar
2022

Accelerated Intravascular Ultrasound Imaging using Deep Reinforcement Learning

ICASSP 2022accepted

Intravascular ultrasound (IVUS) offers a unique perspective in the treatment of vascular diseases by creating a sequence of ultrasound-slices acquired from within the vessel. However, unlike conventional hand-held ultrasound, the thin catheter only provides room for a small number of physical channe…

Cited by 0SourceScholar
2022

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

ICASSP 2022accepted

Intravascular UltraSound (IVUS) is a key tool in guiding the treatment and diagnosis of various coronary heart diseases. However, due to its nature IVUS is a very challenging modality to interpret, and suffers from a severely restricted data transfer rate. This forces a trade-off between temporal an…

Cited by 0SourceScholar