| Deep learning in digital pathology image analysis: a survey S Deng, X Zhang, W Yan, EIC Chang, Y Fan, M Lai, Y Xu Frontiers of medicine 14, 470-487, 2020 | 117 | 2020 |
| Unsupervised end-to-end learning for deformable medical image registration S Shan, W Yan, X Guo, EI Chang, Y Fan, Y Xu arXiv preprint arXiv:1711.08608, 2017 | 72 | 2017 |
| Deformable torso phantoms of Chinese adults for personalized anatomy modelling H Wang, X Sun, T Wu, C Li, Z Chen, M Liao, M Li, W Yan, H Huang, ... Journal of anatomy 233 (1), 121-134, 2018 | 15 | 2018 |
| Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration Y Li, Y Fu, IJMB Gayo, Q Yang, Z Min, SU Saeed, W Yan, Y Wang, ... Medical Image Analysis 90, 102935, 2023 | 12 | 2023 |
| Few-shot image segmentation for cross-institution male pelvic organs using registration-assisted prototypical learning Y Li, Y Fu, Q Yang, Z Min, W Yan, H Huisman, D Barratt, VA Prisacariu, ... 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022 | 10 | 2022 |
| The impact of using voxel-level segmentation metrics on evaluating multifocal prostate cancer localisation W Yan, Q Yang, T Syer, Z Min, S Punwani, M Emberton, D Barratt, B Chiu, ... International Workshop on Applications of Medical AI, 128-138, 2022 | 6 | 2022 |
| Bi-parametric prostate MR image synthesis using pathology and sequence-conditioned stable diffusion SU Saeed, T Syer, W Yan, Q Yang, M Emberton, S Punwani, MJ Clarkson, ... Medical Imaging with Deep Learning, 814-828, 2024 | 5 | 2024 |
| Image quality assessment by overlapping task-specific and task-agnostic measures: application to prostate multiparametric MR images for cancer segmentation SU Saeed, W Yan, Y Fu, F Giganti, Q Yang, Z Baum, M Rusu, RE Fan, ... arXiv preprint arXiv:2202.09798, 2022 | 5 | 2022 |
| Controlling false Positive/Negative rates for deep-Learning-Based prostate cancer detection on multiparametric MR images Z Min, FJ Bianco, Q Yang, R Rodell, W Yan, D Barratt, Y Hu Medical Image Understanding and Analysis: 25th Annual Conference, MIUA 2021 …, 2021 | 4 | 2021 |
| Prostate cancer segmentation from MRI by a multistream fusion encoder M Jiang, B Yuan, W Kou, W Yan, H Marshall, Q Yang, T Syer, S Punwani, ... Medical Physics 50 (9), 5489-5504, 2023 | 2 | 2023 |
| Cross-Modality Image Registration Using a Training-Time Privileged Third Modality Q Yang, D Atkinson, Y Fu, T Syer, W Yan, S Punwani, MJ Clarkson, ... IEEE Transactions on Medical Imaging 41 (11), 3421-3431, 2022 | 2 | 2022 |
| Combiner and HyperCombiner networks: Rules to combine multimodality MR images for prostate cancer localisation W Yan, B Chiu, Z Shen, Q Yang, T Syer, Z Min, S Punwani, M Emberton, ... Medical Image Analysis 91, 103030, 2024 | 1 | 2024 |
| Segmentation versus detection: Development and evaluation of deep learning models for prostate imaging reporting and data system lesions localisation on Bi‐parametric prostate … Z Min, FJ Bianco, Q Yang, W Yan, Z Shen, D Cohen, R Rodell, DC Barratt, ... CAAI Transactions on Intelligence Technology, 2024 | | 2024 |
| Weakly supervised localisation of prostate cancer using reinforcement learning for bi-parametric MR images M Pocius, W Yan, DC Barratt, M Emberton, MJ Clarkson, Y Hu, SU Saeed arXiv preprint arXiv:2402.13778, 2024 | | 2024 |
| Semi-weakly-supervised neural network training for medical image registration Y Li, Y Fu, IJMB Gayo, Q Yang, Z Min, SU Saeed, W Yan, Y Wang, ... arXiv preprint arXiv:2402.10728, 2024 | | 2024 |
