| Early structural connectivity within the sensorimotor network: Deviations related to prematurity and association to neurodevelopmental outcome S Neumane, A Gondova, Y Leprince, L Hertz-Pannier, T Arichi, J Dubois Frontiers in Neuroscience 16, 932386, 2022 | 4 | 2022 |
| Towards fully automated segmentation of rat cardiac MRI by leveraging deep learning frameworks D Fernández-Llaneza, A Gondová, H Vince, A Patra, M Zurek, P Konings, ... Scientific Reports 12 (1), 9193, 2022 | 3 | 2022 |
| Self-supervised learning for preterm-specific variability of cortical folding in the superior temporal sulcus region J Laval CEA-Commissariat à l'énergie atomique et aux énergies alternatives, 2024 | 1 | 2024 |
| Predicting neurodevelopmental outcomes from neonatal cortical microstructure: A conceptual replication study A Gondová, S Neumane, Y Leprince, JF Mangin, T Arichi, J Dubois Neuroimage: Reports 3 (2), 100170, 2023 | 1 | 2023 |
| Self-supervised contrastive learning unveils cortical folding pattern linked to prematurity J Laval, A Gaudin, V Frouin, J Dubois, A Gondova, JF Mangin, J Chavas, ... arXiv preprint arXiv:2405.08397, 2024 | | 2024 |
| Proceedings of the OHBM Brainhack 2022 S Moia, HT Wang, AS Heinsfeld, D Jarecka, YF Yang, S Heunis, ... | | 2024 |
| Early structural connectivity within the sensorimotor network: Deviations related to prematurity and association to neurodevelopmental outcome S Neumane, A Gondová, Y Leprince, L Hertz-Pannier, ... Frontiers in Neuroscience, 2022 | | 2022 |
| Convolutional neural networks for automated CMR image segmentation in rats with myocardial infarcts A Gondova, M Zurek, J Karlsson, L Hultin, T Noeske, E Watson bioRxiv, 2020.12. 01.405969, 2020 | | 2020 |
