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 2020 33, 15750-15762, 2020 | 93 | 2020 |
Learning to Downsample for Segmentation of Ultra-High Resolution Images C Jin, R Tanno, T Mertzanidou, E Panagiotaki, DC Alexander ICLR 2022, 2022 | 33 | 2022 |
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 | 21 | 2020 |
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 | 12 | 2023 |
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 |
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 | 8 | 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 ICML 2024, 2024 | 6 | 2024 |
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 | 4 | 2022 |
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 |
Tackling Structural Hallucination in Image Translation with Local Diffusion S Kim*, C Jin*, T Diethe, M Figini, HFJ Tregidgo, A Mullokandov, P Teare, ... ECCV 2024, 2024 | 1 | 2024 |
Expectation maximization pseudo labels M Xu, Y Zhou, C Jin, M de Groot, DC Alexander, NP Oxtoby, Y Hu, ... MIA (Medical Image Analysis) 2024, 103125, 2024 | 1 | 2024 |
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 TMI (Transactions on Medical Imaging) 2023, 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 |
Homopolymer switches mediate adaptive mutability in mismatch repair-deficient colorectal cancer H Kayhanian, W Cross, SEM van der Horst, P Barmpoutis, E Lakatos, ... Nature Genetics, 1-14, 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 |
An Image is Worth Multiple Words: Discovering Object Level Concepts using Multi-Concept Prompt Learning C Jin, R Tanno, A Saseendran, T Diethe, PA Teare Forty-first International Conference on Machine Learning, 0 | | |