| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 2774 | 2018 |
| NiftyNet: a deep-learning platform for medical imaging E Gibson, W Li, C Sudre, L Fidon, DI Shakir, G Wang, Z Eaton-Rosen, ... Computer methods and programs in biomedicine 158, 113-122, 2018 | 758 | 2018 |
| On the compactness, efficiency, and representation of 3D convolutional networks: brain parcellation as a pretext task W Li, G Wang, L Fidon, S Ourselin, MJ Cardoso, T Vercauteren IPMI 2017, 348-360, 2017 | 456 | 2017 |
| Generalised wasserstein dice score for imbalanced multi-class segmentation using holistic convolutional networks L Fidon, W Li, LC Garcia-Peraza-Herrera, J Ekanayake, N Kitchen, ... MICCAI Brainlesion Workshop 2017, 64-76, 2017 | 204 | 2017 |
| Scaling self-supervised learning for histopathology with masked image modeling A Filiot, R Ghermi, A Olivier, P Jacob, L Fidon, A Camara, A Mac Kain, ... MedRxiv, 2023.07. 21.23292757, 2023 | 194* | 2023 |
| Toolnet: holistically-nested real-time segmentation of robotic surgical tools LC Garcia-Peraza-Herrera, W Li, L Fidon, C Gruijthuijsen, A Devreker, ... 2017 IEEE/RSJ international conference on intelligent robots and systems …, 2017 | 190 | 2017 |
| System and computer-implemented method for segmenting an image G Wang, T Vercauteren, S Ourselin, W Li, L Fidon US Patent 11,379,985, 2022 | 115 | 2022 |
| Generalized wasserstein dice score, distributionally robust deep learning, and ranger for brain tumor segmentation: BraTS 2020 challenge L Fidon, S Ourselin, T Vercauteren International MICCAI Brainlesion Workshop, 200-214, 2020 | 90 | 2020 |
| Scalable multimodal convolutional networks for brain tumour segmentation L Fidon, W Li, LC Garcia-Peraza-Herrera, J Ekanayake, N Kitchen, ... MICCAI 2017, 285-293, 2017 | 73 | 2017 |
| Fetal brain tissue annotation and segmentation challenge results K Payette, HB Li, P De Dumast, R Licandro, H Ji, MMR Siddiquee, D Xu, ... Medical image analysis 88, 102833, 2023 | 67 | 2023 |
| Image compositing for segmentation of surgical tools without manual annotations LC Garcia-Peraza-Herrera, L Fidon, C D’Ettorre, D Stoyanov, ... IEEE transactions on medical imaging 40 (5), 1450-1460, 2021 | 58 | 2021 |
| Context Aware 3D CNNs for Brain Tumor Segmentation S Chandra, M Vakalopoulou, L Fidon, E Battistella, T Estienne, R Sun, ... MICCAI Brainlesion Workshop 2018, 299-310, 2018 | 53* | 2018 |
| Dosimetry-driven quality measure of brain pseudo Computed Tomography generated from deep learning for MRI-only radiotherapy treatment planning EA Andres*, L Fidon*, M Vakalopoulou, M Lerousseau, A Carré, R Sun, ... International Journal of Radiation Oncology Biology Physics, 2020 | 49 | 2020 |
| 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 | 48 | 2022 |
| Distributionally robust segmentation of abnormal fetal brain 3D MRI L Fidon, M Aertsen, N Mufti, T Deprest, D Emam, F Guffens, E Schwartz, ... Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and …, 2021 | 43* | 2021 |
| A Dempster-Shafer approach to trustworthy AI with application to fetal brain MRI segmentation L Fidon, M Aertsen, F Kofler, A Bink, AL David, T Deprest, D Emam, ... IEEE transactions on pattern analysis and machine intelligence 46 (5), 3784-3795, 2024 | 41 | 2024 |
| Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation L Fidon, M Aertsen, D Emam, N Mufti, F Guffens, T Deprest, P Demaerel, ... MICCAI 2021, 2021 | 41 | 2021 |
| MONAIfbs: MONAI-based fetal brain MRI deep learning segmentation M Ranzini, L Fidon, S Ourselin, M Modat, T Vercauteren IEEE International Symposium on Biomedical Imaging (ISBI) 2021, 2021 | 34 | 2021 |
| Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients S Tilborghs*, I Dirks*, L Fidon*, S Willems*, T Eelbode*, J Bertels*, B Ilsen, ... arXiv preprint arXiv:2007.15546, 2020 | 29 | 2020 |
| blob loss: Instance Imbalance Aware Loss Functions for Semantic Segmentation F Kofler, S Shit, I Ezhov, L Fidon, I Horvath, R Al-Maskari, HB Li, H Bhatia, ... International Conference on Information Processing in Medical Imaging, 755-767, 2023 | 28 | 2023 |
Tom VercauterenProfessor of Interventional Image Computing, King's College LondonVerified email at kcl.ac.uk
