| Nisf: Neural implicit segmentation functions N Stolt-Ansó, J McGinnis, J Pan, K Hammernik, D Rueckert International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 20 | 2023 |
| Single-subject multi-contrast MRI super-resolution via implicit neural representations J McGinnis, S Shit, HB Li, V Sideri-Lampretsa, R Graf, M Dannecker, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 12 | 2023 |
| Sampled policy gradient for learning to play the game agar. io AO Wiehe, NS Ansó, MM Drugan, MA Wiering arXiv preprint arXiv:1809.05763, 2018 | 12 | 2018 |
| Global k-space interpolation for dynamic mri reconstruction using masked image modeling J Pan, S Shit, Ö Turgut, W Huang, HB Li, N Stolt-Ansó, T Küstner, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 11 | 2023 |
| Greenspan H et al N Stolt-Ansó, J McGinnis, J Pan, K Hammernik, D Rueckert NISF: neural implicit segmentation functions MICCAI 2023, 734-744, 2023 | 5 | 2023 |
| Deep reinforcement learning for pellet eating in agar. IO N Ansó, A Wiehe, M Drugan, M Wiering The 11th International Conference on Agents and Artificial Intelligence, 123-133, 2019 | 5 | 2019 |
| Direct Cardiac Segmentation from Undersampled K-space Using Transformers Y Zhang, N Stolt-Ansó, J Pan, W Huang, K Hammernik, D Rueckert arXiv preprint arXiv:2406.00192, 2024 | 2 | 2024 |
| Multi-contrast MRI Super-resolution via Implicit Neural Representations. J McGinnis, S Shit, HB Li, V Sideri-Lampretsa, R Graf, M Dannecker, ... arXiv preprint, 2023 | 2 | 2023 |
| Synthetic vascular structure generation for unsupervised pre-training in CTA segmentation tasks NS Ansó arXiv preprint arXiv:2001.00666, 2020 | 2 | 2020 |
| Image registration is a geometric deep learning task V Sideri-Lampretsa, N Stolt-Ansó, M Menten, H Qiu, J McGinnis, ... arXiv preprint arXiv:2412.13294, 2024 | | 2024 |
| Intensity-based 3D motion correction for cardiac MR images N Stolt-Ansó, V Sideri-Lampretsa, M Dannecker, D Rueckert arXiv preprint arXiv:2404.00767, 2024 | | 2024 |
| Synthetic vascular structure generation for unsupervised pre-training in CTA segmentation tasks N Stolt Ansó arXiv e-prints, arXiv: 2001.00666, 2020 | | 2020 |
| Investigation on the generalization of the Sampled Policy Gradient algorithm NS Ansó arXiv preprint arXiv:1910.03728, 2019 | | 2019 |
| Investigating state representations in deep reinforcement learning for pellet eating in Agar. io N Stolt Ansó | | 2018 |
| Reconstruction-free segmentation from undersampled k-space using transformers Y Zhang, N Stolt-Ansó, J Pan, W Huang, K Hammernik, D Rueckert | | |
Daniel RueckertTechnical University of Munich and Imperial College LondonVerified email at tum.de