| Disentangling Human Error from the Ground Truth in Segmentation of Medical Images L Zhang, R Tanno, MC Xu, C Jin, J Jacob, O Ciccarelli, F Barkhof, ... NeurIPS (Advances in Neural Information Processing Systems), 2020 | 91 | 2020 |
| A Foundation Model for Generalizable Disease Detection from Retinal Images Y Zhou, MA Chia, SK Wagner, MS Ayhan, DJ Williamson, RR Struyven, ... Nature, 2023 | 80 | 2023 |
| AutoMorph: Automated Retinal Vascular Morphology Quantification via a Deep Learning Pipeline Y Zhou, S Wagner, M Chia, A Zhao, MC Xu, R Struyven, D Alexander, ... Journal of Translational Vision Science & Technology, 2022 | 27 | 2022 |
| Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation MC Xu, Y Zhou, C Jin, SB Blumberg, F Wilson, M De Groot, DC Alexander, ... MIDL Oral (International Conference on Medical Imaging with Deep Learning), 2021 | 12 | 2021 |
| 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, 2023 | 10 | 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 Best Paper Finalist (International Conference on Medical Image …, 2022 | 9 | 2022 |
| Learning to Address Intra-Segment Misclassification in Retinal Imaging Y Zhou, MC Xu, Y Hu, HX Lin, J Jacob, P Keane, D Alexander MICCAI (International Conference on Medical Image Computing and Computer …, 2021 | 8 | 2021 |
| Learning to Pay Attention to Mistakes MC Xu, NP Oxtoby, DC Alexander, J Jacob BMVC (British Machine Vision Conference), 2020 | 5 | 2020 |
| Foveation for Segmentation of Mega-Pixel Histology Images C Jin, R Tanno, MC Xu, T Mertzanidou, DC Alexander MICCAI (International Conference on Medical Image Computing and Computer …, 2020 | 5 | 2020 |
| Bio-inspired attentive segmentation of retinal OCT imaging G Lazaridis, M Xu, SS Afgeh, G Montesano, D Garway-Heath OMIA workshop at MICCAI, 1-10, 2020 | 4 | 2020 |
| Expectation Maximization Pseudo Labels M Xu, Y Zhou, C Jin, M de Groot, DC Alexander, NP Oxtoby, Y Hu, ... Medical Image Analysis, 103125, 2024 | 2* | 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 IEEE Transactions on Medical Imaging, 2023 | 2* | 2023 |
| Airway Measurement by Refinement of Synthetic Images Improves Mortality Prediction in Idiopathic Pulmonary Fibrosis A Pakzad, MC Xu, WK Cheung, M Vermant, T Goos, LJ De Sadeleer, ... DGM4MICCAI (Workshop on Deep Generative Models for Medical Image Computing …, 2022 | 1 | 2022 |
| CF-Loss: Clinically-Relevant Feature Optimised Loss Function for Retinal Multi-Class Vessel Segmentation and Vascular Feature Measurement Y Zhou, MC Xu, Y Hu, SB Blumberg, A Zhao, SK Wagner, PA Keane, ... Medical Image Analysis, 103098, 2024 | | 2024 |
| Deep Learning with Limited Labels for Medical Imaging MC Xu UCL (University College London), 2023 | | 2023 |
Daniel C. AlexanderProfessor of Imaging Science, Centre for Medical Image Computing, Department of Computer ScienceDirección de correo verificada de cs.ucl.ac.uk
