| 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 | 315 | 2021 |
| Handling missing annotations for semantic segmentation with deep convnets O Petit, N Thome, A Charnoz, A Hostettler, L Soler Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018 | 38 | 2018 |
| Iterative confidence relabeling with deep ConvNets for organ segmentation with partial labels O Petit, N Thome, L Soler Computerized Medical Imaging and Graphics 91, 101938, 2021 | 16 | 2021 |
| International Workshop on Machine Learning in Medical Imaging O Petit, N Thome, C Rambour, L Themyr, T Collins, L Soler Springer, 2021 | 9 | 2021 |
| U-net transformer: Self and cross attention for medical image segmentation. arXiv 2021 O Petit, N Thome, C Rambour, L Soler arXiv preprint arXiv:2103.06104, 0 | 7 | |
| 3D spatial priors for semi-supervised organ segmentation with deep convolutional neural networks O Petit, N Thome, L Soler International Journal of Computer Assisted Radiology and Surgery 17, 129-139, 2022 | 2 | 2022 |
| Biasing deep convnets for semantic segmentation of medical images with a prior-driven prediction function O Petit, N Thome, L Soler | 2 | 2019 |
| Semantic segmentation of 3D medical images with deep learning O Petit HESAM Université, 2021 | | 2021 |
