Tristan S. W. Stevens

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 7

Top Topics

Intravascular Ultrasound

Reinforcement Learning

Diffusion Models

Cross Sectional

Top Venues

IEEE Trans. Medical Imaging

Publications

Oisin Nolan, Tristan S. W. Stevens, Wessel L. van Nierop, Ruud J. G. van Sloun
Active Diffusion Subsampling. CoRR (2024)
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
ULTRA-SR Challenge: Assessment of Ultrasound Localization and TRacking Algorithms for Super-Resolution Imaging. IEEE Trans. Medical Imaging 43 (8) (2024)
Tristan S. W. Stevens, Jean-Luc Robert, Faik C. Meral Jason Yu, Jun Seob Shin, Ruud J. G. van Sloun
Removing Structured Noise with Diffusion Models. CoRR (2023)
Nishith Chennakeshava, Tristan S. W. Stevens, Frederik J. de Bruijn, Andrew Hancock, Martin Pekar, Yonina C. Eldar, Massimo Mischi, Ruud J. G. van Sloun
Deep Proximal Unfolding For Image Recovery from Under-Sampled Channel Data in Intravascular Ultrasound. ICASSP (2022)
Tristan S. W. Stevens, Nishith Chennakeshava, Frederik J. de Bruijn, Martin Pekar, Ruud J. G. van Sloun
Accelerated Intravascular Ultrasound Imaging using Deep Reinforcement Learning. CoRR (2022)
Tristan S. W. Stevens, Nishith Chennakeshava, Frederik J. de Bruijn, Martin Pekar, Ruud J. G. van Sloun
Accelerated Intravascular Ultrasound Imaging using Deep Reinforcement Learning. ICASSP (2022)
Tristan S. W. Stevens, R. Firat Tigrek, Eric S. Tammam, Ruud J. G. van Sloun
Automated Gain Control Through Deep Reinforcement Learning for Downstream Radar Object Detection. EUSIPCO (2021)