Removing structured noise with diffusion models TSW Stevens, H van Gorp, FC Meral, J Shin, J Yu, JL Robert, ... arXiv preprint arXiv:2302.05290, 2023 | 9 | 2023 |
Dehazing ultrasound using diffusion models TSW Stevens, FC Meral, J Yu, IZ Apostolakis, JL Robert, RJG Van Sloun IEEE Transactions on Medical Imaging, 2024 | 8 | 2024 |
Accelerated intravascular ultrasound imaging using deep reinforcement learning TSW Stevens, N Chennakeshava, FJ de Bruijn, M Pekař, RJG van Sloun ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 3 | 2022 |
Automated gain control through deep reinforcement learning for downstream radar object detection TSW Stevens, RF Tigrek, ES Tammam, RJG van Sloun 2021 29th European Signal Processing Conference (EUSIPCO), 1780-1784, 2021 | 3 | 2021 |
Deep Proximal Unfolding For Image Recovery from Under-Sampled Channel Data in Intravascular Ultrasound N Chennakeshava, TSW Stevens, FJ de Bruijn, A Hancock, M Pekař, ... ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 2 | 2022 |
A Hybrid Deep Learning Pipeline for Improved Ultrasound Localization Microscopy TSW Stevens, EB Herbst, B Luijten, BW Ossenkoppele, TJ Voskuil, ... 2022 IEEE International Ultrasonics Symposium (IUS), 2022 | 1 | 2022 |
Active Diffusion Subsampling O Nolan, TSW Stevens, WL van Nierop, RJG van Sloun arXiv preprint arXiv:2406.14388, 2024 | | 2024 |
ULTRA-SR Challenge: Assessment of Ultrasound Localization and TRacking Algorithms for Super-Resolution Imaging M Lerendegui, K Riemer, G Papageorgiou, B Wang, L Arthur, ... IEEE transactions on medical imaging, 2024 | | 2024 |