| Multi-centre, multi-vendor and multi-disease cardiac segmentation: the M&Ms challenge VM Campello, P Gkontra, C Izquierdo, C Martin-Isla, A Sojoudi, PM Full, ... IEEE Transactions on Medical Imaging 40 (12), 3543-3554, 2021 | 274 | 2021 |
| Learning disentangled representations in the imaging domain X Liu, P Sanchez, S Thermos, AQ O’Neil, SA Tsaftaris Medical Image Analysis 80, 102516, 2022 | 67 | 2022 |
| Semi-supervised meta-learning with disentanglement for domain-generalised medical image segmentation X Liu, S Thermos, A O’Neil, SA Tsaftaris Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 47 | 2021 |
| What is healthy? generative counterfactual diffusion for lesion localization P Sanchez, A Kascenas, X Liu, AQ O’Neil, SA Tsaftaris MICCAI Workshop on Deep Generative Models, 34-44, 2022 | 44 | 2022 |
| Diffusion Models for Causal Discovery via Topological Ordering P Sanchez, X Liu, AQ O'Neil, SA Tsaftaris arXiv preprint arXiv:2210.06201, 2022 | 25 | 2022 |
| Have you forgotten? A method to assess if machine learning models have forgotten data X Liu, SA Tsaftaris 23rd International Conference on Medical Image Computing and Computer …, 2020 | 23 | 2020 |
| Metrics for exposing the biases of content-style disentanglement X Liu, S Thermos, G Valvano, A Chartsias, A O’Neil, SA Tsaftaris The 32nd British Machine Vision Conference, 2021 | 21* | 2021 |
| Disentangled Representations for Domain-generalized Cardiac Segmentation X Liu, S Thermos, A Chartsias, A O'Neil, SA Tsaftaris 11th Workshop on Statistical Atlases and Computational Modelling of the Heart, 2020 | 19 | 2020 |
| Controllable cardiac synthesis via disentangled anatomy arithmetic S Thermos, X Liu, A O’Neil, SA Tsaftaris Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 12 | 2021 |
| vMFNet: Compositionality Meets Domain-Generalised Segmentation X Liu, S Thermos, P Sanchez, AQ O’Neil, SA Tsaftaris International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 9 | 2022 |
| Cardiac aging synthesis from cross-sectional data with conditional generative adversarial networks VM Campello, T Xia, X Liu, P Sanchez, C Martín-Isla, SE Petersen, ... Frontiers in Cardiovascular Medicine, 2693, 2022 | 8 | 2022 |
| Random decision dag: An entropy based compression approach for random forest X Liu, X Liu, Y Lai, F Yang, Y Zeng International Conference on Database Systems for Advanced Applications, 319-323, 2019 | 7 | 2019 |
| Why patient data cannot be easily forgotten? R Su, X Liu, SA Tsaftaris International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 4 | 2022 |
| HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information X Liu, S Thermos, P Sanchez, AQ O’Neil, SA Tsaftaris MICCAI Workshop on Medical Applications with Disentanglements, 15-21, 2022 | 3 | 2022 |
| Cerfgan: A compact, effective, robust, and fast model for unsupervised multi-domain image-to-image translation X Liu, S Zhang, H Liu, X Liu, C Deng, R Ji arXiv preprint arXiv:1805.10871, 2018 | 2 | 2018 |
| Compositionally equivariant representation learning X Liu, P Sanchez, S Thermos, AQ O’Neil, SA Tsaftaris IEEE Transactions on Medical Imaging, 2024 | 1 | 2024 |
| Compositional Representation Learning for Brain Tumour Segmentation X Liu, A Kascenas, H Watson, SA Tsaftaris, AQ O’Neil MICCAI Workshop on Domain Adaptation and Representation Transfer, 41-51, 2023 | 1 | 2023 |
| Group Distributionally Robust Knowledge Distillation K Vilouras, X Liu, P Sanchez, AQ O’Neil, SA Tsaftaris International Workshop on Machine Learning in Medical Imaging, 234-242, 2023 | 1 | 2023 |
| Less is More: Unified Model for Unsupervised Multi-Domain Image-to-Image Translation X Liu, S Zhang, H Liu, X Liu, R Ji CoRR, 2018 | 1 | 2018 |
| Representation learning for generalisation in medical image analysis X Liu The University of Edinburgh, 2023 | | 2023 |
Sotirios TsaftarisChair in Machine Learning and Computer Vision, The University of EdinburghVerified email at ed.ac.uk
