| Hetero-modal variational encoder-decoder for joint modality completion and segmentation R Dorent, S Joutard, M Modat, S Ourselin, T Vercauteren Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 144 | 2019 |
| An artificial intelligence framework for automatic segmentation and volumetry of vestibular schwannomas from contrast-enhanced T1-weighted and high-resolution T2-weighted MRI J Shapey, G Wang, R Dorent, A Dimitriadis, W Li, I Paddick, N Kitchen, ... Journal of neurosurgery 134 (1), 171-179, 2019 | 112 | 2019 |
| Segmentation of vestibular schwannoma from MRI, an open annotated dataset and baseline algorithm J Shapey, A Kujawa, R Dorent, G Wang, A Dimitriadis, D Grishchuk, ... Scientific Data 8 (1), 1-6, 2021 | 98 | 2021 |
| CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation R Dorent, A Kujawa, M Ivory, S Bakas, N Rieke, S Joutard, B Glocker, ... Medical Image Analysis 83, 102628, 2023 | 93 | 2023 |
| Automatic segmentation of vestibular schwannoma from T2-weighted MRI by deep spatial attention with hardness-weighted loss G Wang, J Shapey, W Li, R Dorent, A Dimitriadis, S Bisdas, I Paddick, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 75 | 2019 |
| Manual segmentation versus semi-automated segmentation for quantifying vestibular schwannoma volume on MRI H McGrath, P Li, R Dorent, R Bradford, S Saeed, S Bisdas, S Ourselin, ... International journal of computer assisted radiology and surgery 15, 1445-1455, 2020 | 50 | 2020 |
| Scribble-based domain adaptation via co-segmentation R Dorent, S Joutard, J Shapey, S Bisdas, N Kitchen, R Bradford, S Saeed, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 45 | 2020 |
| Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets R Dorent, T Booth, W Li, CH Sudre, S Kafiabadi, J Cardoso, S Ourselin, ... Medical image analysis 67, 101862, 2021 | 35 | 2021 |
| Biomedical image analysis competitions: The state of current participation practice M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ... arXiv preprint arXiv:2212.08568, 2022 | 33 | 2022 |
| Inter extreme points geodesics for end-to-end weakly supervised image segmentation R Dorent, S Joutard, J Shapey, A Kujawa, M Modat, S Ourselin, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 33 | 2021 |
| Why is the winner the best? M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, S Ali, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 27 | 2023 |
| MedShapeNet – a large-scale dataset of 3D medical shapes for computer vision J Li, Z Zhou, J Yang, A Pepe, C Gsaxner, G Luijten, C Qu, T Zhang, ... Biomedical Engineering/Biomedizinische Technik, 2024 | 26 | 2024 |
| A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections F Pérez-García, R Dorent, M Rizzi, F Cardinale, V Frazzini, V Navarro, ... International Journal of Computer Assisted Radiology and Surgery 16, 1653-1661, 2021 | 20 | 2021 |
| ReMIND: The Brain Resection Multimodal Imaging Database P Juvekar, R Dorent, F Kögl, E Torio, C Barr, L Rigolo, C Galvin, N Jowkar, ... Scientific Data 11 (1), 494, 2024 | 17 | 2024 |
| Artificial intelligence opportunities for vestibular schwannoma management using image segmentation and clinical decision tools J Shapey, A Kujawa, R Dorent, SR Saeed, N Kitchen, R Obholzer, ... World neurosurgery 149, 269-270, 2021 | 14 | 2021 |
| Fastgeodis: Fast generalised geodesic distance transform M Asad, R Dorent, T Vercauteren arXiv preprint arXiv:2208.00001, 2022 | 13 | 2022 |
| Permutohedral attention module for efficient non-local neural networks S Joutard, R Dorent, A Isaac, S Ourselin, T Vercauteren, M Modat Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 12 | 2019 |
| Boundary distance loss for intra-/extra-meatal segmentation of vestibular schwannoma N Wijethilake, A Kujawa, R Dorent, M Asad, A Oviedova, T Vercauteren, ... International Workshop on Machine Learning in Clinical Neuroimaging, 73-82, 2022 | 11 | 2022 |
| Automated Koos classification of vestibular schwannoma A Kujawa, R Dorent, S Connor, A Oviedova, M Okasha, D Grishchuk, ... Frontiers in radiology 2, 837191, 2022 | 11 | 2022 |
| SegMatch: A semi-supervised learning method for surgical instrument segmentation M Wei, C Budd, LC Garcia-Peraza-Herrera, R Dorent, M Shi, ... arXiv preprint arXiv:2308.05232, 2023 | 10 | 2023 |
Tom VercauterenProfessor of Interventional Image Computing, King's College LondonVerified email at kcl.ac.uk