| Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations CH Sudre, W Li, T Vercauteren, S Ourselin, MJ Cardoso Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017 | 564 | 2017 |
| 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 | 379 | 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 | 319 | 2018 |
| Interactive medical image segmentation using deep learning with image-specific fine-tuning G Wang, W Li, MA Zuluaga, R Pratt, PA Patel, M Aertsen, T Doel, ... IEEE Transactions on Medical Imaging, 2018 | 264 | 2018 |
| Automatic brain tumor segmentation using cascaded anisotropic convolutional neural networks G Wang, W Li, S Ourselin, T Vercauteren International MICCAI Brainlesion Workshop, 178-190, 2017 | 253 | 2017 |
| 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 International Conference on Information Processing in Medical Imaging, 348-360, 2017 | 169 | 2017 |
| Weakly-supervised convolutional neural networks for multimodal image registration Y Hu, M Modat, E Gibson, W Li, N Ghavami, E Bonmati, G Wang, ... Medical image analysis 49, 1-13, 2018 | 124 | 2018 |
| DeepIGeoS: a deep interactive geodesic framework for medical image segmentation G Wang, MA Zuluaga, W Li, R Pratt, PA Patel, M Aertsen, T Doel, ... IEEE transactions on pattern analysis and machine intelligence 41 (7), 1559-1572, 2018 | 110 | 2018 |
| Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks G Wang, W Li, M Aertsen, J Deprest, S Ourselin, T Vercauteren Neurocomputing 338, 34-45, 2019 | 84 | 2019 |
| 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, ... International MICCAI Brainlesion Workshop, 64-76, 2017 | 81 | 2017 |
| An automated pattern recognition system for classifying indirect immunofluorescence images of HEp-2 cells and specimens S Manivannan, W Li, S Akbar, R Wang, J Zhang, SJ McKenna Pattern Recognition 51, 12-26, 2016 | 69 | 2016 |
| 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 | 65 | 2017 |
| Real-Time Segmentation of Non-rigid Surgical Tools Based on Deep Learning and Tracking LC García-Peraza-Herrera, W Li, C Gruijthuijsen, A Devreker, G Attilakos, ... International Workshop on Computer-Assisted and Robotic Endoscopy, 84-95, 2016 | 63 | 2016 |
| HEp-2 cell classification using multi-resolution local patterns and ensemble SVMs S Manivannan, W Li, S Akbar, R Wang, J Zhang, SJ McKenna 2014 1st Workshop on Pattern Recognition Techniques for Indirect …, 2014 | 48 | 2014 |
| Gland segmentation in colon histology images using hand-crafted features and convolutional neural networks W Li, S Manivannan, S Akbar, J Zhang, E Trucco, SJ McKenna ISBI, 2016 | 46 | 2016 |
| Automatic brain tumor segmentation using convolutional neural networks with test-time augmentation G Wang, W Li, S Ourselin, T Vercauteren International MICCAI Brainlesion Workshop, 61-72, 2018 | 42 | 2018 |
| Scalable multimodal convolutional networks for brain tumour segmentation L Fidon, W Li, LC Garcia-Peraza-Herrera, J Ekanayake, N Kitchen, ... International Conference on Medical Image Computing and Computer-Assisted …, 2017 | 39 | 2017 |
| Privacy-preserving Federated Brain Tumour Segmentation W Li, F Milletarì, D Xu, N Rieke, J Hancox, W Zhu, M Baust, Y Cheng, ... International Workshop on Machine Learning in Medical Imaging, 133-141, 2019 | 35 | 2019 |
| Automatic Brain Tumor Segmentation Based on Cascaded Convolutional Neural Networks with Uncertainty Estimation G Wang, W Li, T Vercauteren, S Ourselin Frontiers in Computational Neuroscience 13, 56, 2019 | 34 | 2019 |
| Structure Prediction for Gland Segmentation With Hand-Crafted and Deep Convolutional Features S Manivannan, W Li, J Zhang, E Trucco, SJ McKenna IEEE transactions on medical imaging 37 (1), 210-221, 2018 | 27 | 2018 |
Sebastien OurselinProfessor of Healthcare Engineering, King's College LondonVerified email at kcl.ac.uk
