U-net transformer: Self and cross attention for medical image segmentation O Petit, N Thome, C Rambour, L Themyr, T Collins, L Soler Machine Learning in Medical Imaging: 12th International Workshop, MLMI 2021 …, 2021 | 318 | 2021 |
Full contextual attention for multi-resolution transformers in semantic segmentation L Themyr, C Rambour, N Thome, T Collins, A Hostettler Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 10 | 2023 |
International Workshop on Machine Learning in Medical Imaging O Petit, N Thome, C Rambour, L Themyr, T Collins, L Soler Springer, 2021 | 9 | 2021 |
Memory transformers for full context and high-resolution 3D Medical Segmentation L Themyr, C Rambour, N Thome, T Collins, A Hostettler International Workshop on Machine Learning in Medical Imaging, 121-130, 2022 | 5 | 2022 |
Contexte global avec des Transformers pour la segmentation d'images médicales 3D L Themyr HESAM Université, 2023 | | 2023 |
Global context with transformers in 3D medical image segmentation L Themyr Paris, HESAM, 2023 | | 2023 |
TRUSTED: The Paired 3D Transabdominal Ultrasound and CT Human Data for Kidney Segmentation and Registration Research W Ndzimbong, C Fourniol, L Themyr, N Thome, Y Keeza, B Sauer, ... arXiv preprint arXiv:2310.12646, 2023 | | 2023 |