no code implementations • 30 Jul 2021 • Hongxu Yang, Caifeng Shan, R. Arthur Bouwman, Lukas R. C. Dekker, Alexander F. Kolen, Peter H. N. de With
These results are better than the state-of-the-art SSL methods and the inference time is comparable to the supervised approaches.
no code implementations • 19 Oct 2020 • Hongxu Yang, Caifeng Shan, Alexander F. Kolen, Peter H. N. de With
Accurate and efficient catheter segmentation in 3D ultrasound (US) is essential for cardiac intervention.
no code implementations • 9 Jul 2020 • Hongxu Yang, Caifeng Shan, Alexander F. Kolen, Peter H. N. de With
Medical instrument detection is essential for computer-assisted interventions since it would facilitate the surgeons to find the instrument efficiently with a better interpretation, which leads to a better outcome.
no code implementations • 25 Jun 2020 • Hongxu Yang, Caifeng Shan, Alexander F. Kolen, Peter H. N. de With
To train the Dual-UNet with limited labeled images and leverage information of unlabeled images, we propose a novel semi-supervised scheme, which exploits unlabeled images based on hybrid constraints from predictions.
no code implementations • 14 Feb 2019 • Hongxu Yang, Caifeng Shan, Alexander F. Kolen, Peter H. N. de With
Fast and accurate catheter detection in cardiac catheterization using harmless 3D ultrasound (US) can improve the efficiency and outcome of the intervention.