| Modality cycles with masked conditional diffusion for unsupervised anomaly segmentation in mri Z Liang, H Anthony, F Wagner, K Kamnitsas International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 9 | 2023 |
| Learning for retinal image quality assessment with label regularization T Guo, Z Liang, Y Gu, K Liu, X Xu, J Yang, Q Yu Computer Methods and Programs in Biomedicine 228, 107238, 2023 | 6 | 2023 |
| Deep multi-task framework for optic disc and fovea detection T Guo, Z Liang, Y Gu, J Yang, Q Yu Journal of Electronic Imaging 30 (4), 043002-043002, 2021 | 5 | 2021 |
| : Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI Z Liang, X Guo, JA Noble, K Kamnitsas International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 3 | 2024 |
| Hardmix: A regularization method to mitigate the large shift in few-shot domain adaptation Z Liang, Y Gu, J Yang 2021 IEEE International Conference on Image Processing (ICIP), 454-458, 2021 | 3 | 2021 |
| Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities F Wagner, W Xu, P Saha, Z Liang, D Whitehouse, D Menon, V Newcombe, ... arXiv preprint arXiv:2406.11636, 2024 | 2 | 2024 |
| Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentation W Xu, M Moffat, T Seale, Z Liang, F Wagner, D Whitehouse, D Menon, ... arXiv preprint arXiv:2405.18511, 2024 | 1 | 2024 |
| Continuous Online Adaptation Driven by User Interaction for Medical Image Segmentation W Xu, Z Liang, H Anthony, Y Ibrahim, F Cohen, G Yang, D Whitehouse, ... arXiv preprint arXiv:2503.06717, 2025 | | 2025 |
| Homography Estimation Network Based on Dense Correspondence X Yang, L Kong, Z Liang, J Yang International Conference on Neural Information Processing, 632-639, 2021 | | 2021 |
Konstantinos KamnitsasAssociate Professor of Biomedical Imaging @ University of Oxford在 eng.ox.ac.uk 的電子郵件地址已通過驗證
