| Disentangling human error from ground truth in segmentation of medical images L Zhang, R Tanno, MC Xu, C Jin, J Jacob, O Cicarrelli, F Barkhof, ... NeurIPS (Advances in Neural Information Processing Systems) 33, 15750-15762, 2020 | 90 | 2020 |
| Learning to Downsample for Segmentation of Ultra-High Resolution Images C Jin, R Tanno, T Mertzanidou, E Panagiotaki, DC Alexander ICLR (International Conference on Learning Representations), 2021 | 32 | 2021 |
| Learning to segment when experts disagree L Zhang, R Tanno, K Bronik, C Jin, P Nachev, F Barkhof, O Ciccarelli, ... MICCAI (International Conference on Medical Image Computing and Computer …, 2020 | 20 | 2020 |
| Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation MC Xu, YK Zhou, C Jin, SB Blumberg, FJ Wilson, M deGroot, ... MIDL (International Conference on Medical Imaging with Deep Learning), 2022 | 11 | 2022 |
| Learning from multiple annotators for medical image segmentation L Zhang, R Tanno, M Xu, Y Huang, K Bronik, C Jin, J Jacob, Y Zheng, ... Pattern Recognition 138, 109400, 2023 | 9 | 2023 |
| Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-supervised Segmentation MC Xu, Y Zhou, C Jin, M de Groot, DC Alexander, NP Oxtoby, Y Hu, ... MICCAI (International Conference on Medical Image Computing and Computer …, 2022 | 9 | 2022 |
| Foveation for segmentation of mega-pixel histology images C Jin, R Tanno, M Xu, T Mertzanidou, DC Alexander MICCAI (International Conference on Medical Image Computing and Computer …, 2020 | 8* | 2020 |
| An image is worth multiple words: Learning object level concepts using multi-concept prompt learning C Jin, R Tanno, A Saseendran, T Diethe, P Teare arXiv preprint arXiv:2310.12274, 2023 | 3 | 2023 |
| Expectation maximization pseudo labelling for segmentation with limited annotations MC Xu, Y Zhou, C Jin, M de Groot, DC Alexander, NP Oxtoby, Y Hu, ... arXiv preprint arXiv:2305.01747, 2023 | 2 | 2023 |
| Mutation Rate Evolution Drives Immune Escape in Mismatch Repair-Deficient Cancer H Kayhanian, P Barmpoutis, E Lakatos, W Cross, G Caravagna, L Zapata, ... bioRxiv, 2022.03. 06.482973, 2022 | 2 | 2022 |
| MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations with Limited Labels MC Xu, Y Zhou, C Jin, M De Groot, DC Alexander, NP Oxtoby, J Jacob IEEE transactions on medical imaging, 2023 | 1 | 2023 |
| MisMatch: Learning to change predictive confidences with attention for consistency-based, semi-supervised medical image segmentation MC Xu, YK Zhou, C Jin, SB Blumberg, FJ Wilson, M De Groot, NP Oxtoby, ... arXiv preprint arXiv:2110.12179, 2021 | 1 | 2021 |
| Tackling Structural Hallucination in Image Translation with Local Diffusion S Kim, C Jin, T Diethe, M Figini, HFJ Tregidgo, A Mullokandov, P Teare, ... arXiv preprint arXiv:2404.05980, 2024 | | 2024 |
| Expectation maximization pseudo labels M Xu, Y Zhou, C Jin, M de Groot, DC Alexander, NP Oxtoby, Y Hu, ... Medical Image Analysis, 103125, 2024 | | 2024 |
| Histo-MRI Study: Mapping mpMRI to Whole Mount Prostatectomy. Update on a Study in Progress M Mathew, S Singh, T Mertzanidou, S Suman, J Clemente, M Brizmohun, ... JOURNAL OF PATHOLOGY 261 (SUPPL 1), S53-S53, 2023 | | 2023 |
| Leaning to Segment from Multiple Annotators L Zhang, R Tanno, M Xu, Y Huang, K Bronik, C Jin, J Jacob, Y Zheng, ... Pattern Recognition, 2023 | | 2023 |
| Preprint: Mutation Rate Evolution Drives Immune Escape In Mismatch Repair-Deficient Cancer H Kayhanian, P Barmpoutis, E Lakatos, W Cross, G Caravagna, L Zapata, ... biorxiv. org, 2022 | | 2022 |
Daniel C. AlexanderProfessor of Imaging Science, Centre for Medical Image Computing, Department of Computer ScienceVerified email at cs.ucl.ac.uk
