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Tristan S. W. Stevens
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2020 – today
- 2024
- [j1]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): 2970-2987 (2024) - [i3]Oisin Nolan, Tristan S. W. Stevens, Wessel L. van Nierop, Ruud J. G. van Sloun:
Active Diffusion Subsampling. CoRR abs/2406.14388 (2024) - 2023
- [i2]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 abs/2302.05290 (2023) - 2022
- [c3]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: 1216-1220 - [c2]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: 1221-1225 - [i1]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 abs/2201.09522 (2022) - 2021
- [c1]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: 1780-1784
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last updated on 2024-09-09 01:14 CEST by the dblp team
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