Tristan S. W. Stevens

According to our database, Tristan S. W. Stevens authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Dehazing Ultrasound Using Diffusion Models.

Tristan S. W. Stevens, Faik C. Meral, Jason Yu, Iason Zacharias Apostolakis, Jean-Luc Robert, Ruud J. G. van Sloun

IEEE Trans. Medical Imaging, October, 2024

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

Marcelo Lerendegui, Kai Riemer, Georgios Papageorgiou, Bingxue Wang, Lachlan Arthur, Arthur Chavignon, Tao Zhang, Olivier Couture, Pingtong Huang, Md Ashikuzzaman, Stefanie Dencks, Christopher Dunsby, Brandon Helfield, Jørgen Arendt Jensen, Thomas Lisson, Matthew R. Lowerison, Hassan Rivaz, Anthony E. Samir, Georg Schmitz, Scott J. Schoen, Ruud van Sloun, Pengfei Song, Tristan S. W. Stevens, Jipeng Yan, Vassilis Sboros, Meng-Xing Tang

IEEE Trans. Medical Imaging, August, 2024

Sequential Posterior Sampling with Diffusion Models.

Tristan S. W. Stevens, Oisín Nolan, Jean-Luc Robert, Ruud J. G. van Sloun

CoRR, 2024

Active Diffusion Subsampling.

Oisín Nolan, Tristan S. W. Stevens, Wessel L. van Nierop, Ruud J. G. van Sloun

CoRR, 2024

2023

Removing Structured Noise with Diffusion Models.

Tristan S. W. Stevens, Jean-Luc Robert, Faik C. Meral, Jason Yu, Jun Seob Shin, Ruud J. G. van Sloun

CoRR, 2023

2022

Accelerated Intravascular Ultrasound Imaging using Deep Reinforcement Learning.

Tristan S. W. Stevens, Nishith Chennakeshava, Frederik J. de Bruijn, Martin Pekar, Ruud J. G. van Sloun

Proceedings of the IEEE International Conference on Acoustics, 2022

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

Nishith Chennakeshava, Tristan S. W. Stevens, Frederik J. de Bruijn, Andrew Hancock, Martin Pekar, Yonina C. Eldar, Massimo Mischi, Ruud J. G. van Sloun

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Automated Gain Control Through Deep Reinforcement Learning for Downstream Radar Object Detection.

Tristan S. W. Stevens, R. Firat Tigrek, Eric S. Tammam, Ruud J. G. van Sloun

Proceedings of the 29th European Signal Processing Conference, 2021