| Deep learning approaches for data augmentation in medical imaging: a review A Kebaili, J Lapuyade-Lahorgue, S Ruan Journal of imaging 9 (4), 81, 2023 | 165 | 2023 |
| End-to-end autoencoding architecture for the simultaneous generation of medical images and corresponding segmentation masks A Kebaili, J Lapuyade-Lahorgue, P Vera, S Ruan International Conference on Medical Imaging and Computer-Aided Diagnosis, 32-40, 2023 | 4 | 2023 |
| Discriminative Hamiltonian variational autoencoder for accurate tumor segmentation in data-scarce regimes A Kebaili, J Lapuyade-Lahorgue, P Vera, S Ruan Neurocomputing 606, 128360, 2024 | 1 | 2024 |
| 3d mri synthesis with slice-based latent diffusion models: Improving tumor segmentation tasks in data-scarce regimes A Kebaili, J Lapuyade-Lahorgue, P Vera, S Ruan 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2024 | 1 | 2024 |
| AMM-Diff: Adaptive Multi-Modality Diffusion Network for Missing Modality Imputation A Kebaili, J Lapuyade-Lahorgue, P Vera, S Ruan arXiv preprint arXiv:2501.12840, 2025 | | 2025 |
| Synthèse d’images basée sur le VAE Hamiltonien pour l’amélioration de la segmentation de tumeurs AKJLL Pierre, VS Ruan | | |
Su RuanLITIS, Université de Rouen, France