| Attention u-net: Learning where to look for the pancreas O Oktay, J Schlemper, LL Folgoc, M Lee, M Heinrich, K Misawa, K Mori, ... arXiv preprint arXiv:1804.03999, 2018 | 7540 | 2018 |
| Attention u-net: Learning where to look for the pancreas. arXiv O Oktay, J Schlemper, LL Folgoc, M Lee, M Heinrich, K Misawa, K Mori, ... arXiv preprint arXiv:1804.03999 10, 2018 | 486 | 2018 |
| Evaluating reinforcement learning agents for anatomical landmark detection A Alansary, O Oktay, Y Li, L Le Folgoc, B Hou, G Vaillant, K Kamnitsas, ... Medical image analysis 53, 156-164, 2019 | 202 | 2019 |
| Stochastic segmentation networks: Modelling spatially correlated aleatoric uncertainty M Monteiro, L Le Folgoc, D Coelho de Castro, N Pawlowski, B Marques, ... Advances in Neural Information Processing Systems 33, 12756-12767, 2020 | 141 | 2020 |
| Semi-supervised learning via compact latent space clustering K Kamnitsas, D Castro, L Le Folgoc, I Walker, R Tanno, D Rueckert, ... International Conference on Machine Learning, 2459-2468, 2018 | 109 | 2018 |
| Automatic view planning with multi-scale deep reinforcement learning agents A Alansary, LL Folgoc, G Vaillant, O Oktay, Y Li, W Bai, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 69 | 2018 |
| Explainable anatomical shape analysis through deep hierarchical generative models C Biffi, JJ Cerrolaza, G Tarroni, W Bai, A De Marvao, O Oktay, C Ledig, ... IEEE transactions on medical imaging 39 (6), 2088-2099, 2020 | 64 | 2020 |
| Is MC Dropout Bayesian? LL Folgoc, V Baltatzis, S Desai, A Devaraj, S Ellis, OEM Manzanera, ... arXiv preprint arXiv:2110.04286, 2021 | 54 | 2021 |
| Quantifying registration uncertainty with sparse bayesian modelling L Le Folgoc, H Delingette, A Criminisi, N Ayache IEEE transactions on medical imaging 36 (2), 607-617, 2016 | 45 | 2016 |
| Autosegmentation of prostate anatomy for radiation treatment planning using deep decision forests of radiomic features MW Macomber, M Phillips, I Tarapov, R Jena, A Nori, D Carter, ... Physics in Medicine & Biology 63 (23), 235002, 2018 | 33 | 2018 |
| Lifted auto-context forests for brain tumour segmentation L Le Folgoc, AV Nori, S Ancha, A Criminisi Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2016 | 29 | 2016 |
| Sparse Bayesian registration of medical images for self-tuning of parameters and spatially adaptive parametrization of displacements L Le Folgoc, H Delingette, A Criminisi, N Ayache Medical image analysis 36, 79-97, 2017 | 24 | 2017 |
| Deep learning for cardiac motion estimation: supervised vs. unsupervised training H Qiu, C Qin, L Le Folgoc, B Hou, J Schlemper, D Rueckert Statistical Atlases and Computational Models of the Heart. Multi-Sequence …, 2020 | 20 | 2020 |
| Attention u-net: Learning where to look for the pancreas. CoRR abs/1804.03999 (2018) O Oktay, J Schlemper, LL Folgoc, MCH Lee, MP Heinrich, K Misawa, ... arXiv preprint arXiv:1804.03999 760, 1804 | 19 | 1804 |
| Geometric deep learning for post-menstrual age prediction based on the neonatal white matter cortical surface V Vosylius, A Wang, C Waters, A Zakharov, F Ward, L Le Folgoc, J Cupitt, ... Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and …, 2020 | 17 | 2020 |
| Segmentation of brain tumors via cascades of lifted decision forests LL Folgoc, AV Nori, J Alvarez-Valle, R Lowe, A Criminisi proceedings MICCAI-BRATS workshop, 26-30, 2016 | 16 | 2016 |
| A Variational Bayesian Method for Similarity Learning in Non-Rigid Image Registration D Grzech, MF Azampour, B Glocker, J Schnabel, N Navab, B Kainz, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 11 | 2022 |
| Sparse bayesian registration L Le Folgoc, H Delingette, A Criminisi, N Ayache Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014 | 11 | 2014 |
| Sensor data processor with update ability AV Nori, A Criminisi, S Ancha, L Le Folgoc US Patent App. 15/628,564, 2018 | 8 | 2018 |
| Confidence-based training for clinical data uncertainty in image-based prediction of cardiac ablation targets R Cabrera-Lozoya, J Margeta, L Le Folgoc, Y Komatsu, B Berte, J Relan, ... International MICCAI Workshop on Medical Computer Vision, 148-159, 2014 | 8 | 2014 |
Ben GlockerImperial College LondonCorreu electrònic verificat a imperial.ac.uk
