| A deep learning framework for spatiotemporal ultrasound localization microscopy L Milecki, J Porée, H Belgharbi, C Bourquin, R Damseh, ... IEEE Transactions on Medical Imaging 40 (5), 1428-1437, 2021 | 58 | 2021 |
| 3D unsupervised kidney graft segmentation based on deep learning and multi-sequence MRI L Milecki, S Bodard, JM Correas, MO Timsit, M Vakalopoulou 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1781-1785, 2021 | 14 | 2021 |
| An anatomically realistic simulation framework for 3D ultrasound localization microscopy H Belgharbi, J Porée, R Damseh, V Perrot, L Milecki, ... IEEE Open Journal of Ultrasonics, Ferroelectrics, and Frequency Control 3, 1-13, 2023 | 7* | 2023 |
| Contrastive masked transformers for forecasting renal transplant function L Milecki, V Kalogeiton, S Bodard, D Anglicheau, JM Correas, MO Timsit, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 5 | 2022 |
| MEDIMP: 3D Medical Images and clinical Prompts for renal transplant representation learning L Milecki, V Kalogeiton, S Bodard, D Anglicheau, JM Correas, MO Timsit, ... Medical Imaging with Deep Learning, 846-861, 2024 | 4* | 2024 |
| ADAPT: Multimodal Learning for Detecting Physiological Changes under Missing Modalities J Mordacq, L Milecki, M Vakalopoulou, S Oudot, V Kalogeiton Medical Imaging with Deep Learning, 2024 | | 2024 |
| Développement d’un modèle non supervisé d’intelligence artificielle pour l’analyse radiomique et la prédiction de la survie à 5 ans du transplant rénal L Milecki, S Bodard, D Anglicheau, J Correas, M Vakalopoulou Progrès en Urologie-FMC 33 (3), S24, 2023 | | 2023 |
| Constrative Learning for Kidney Transplant Analysis using MRI data and Deep Convolutional Networks L Milecki, V Kalogeiton, S Bodard, JM Correas, MO Timsit, ... Medical Imaging with Deep Learning 2022, 2022 | | 2022 |
