| Active label cleaning for improved dataset quality under resource constraints M Bernhardt, DC Castro, R Tanno, A Schwaighofer, KC Tezcan, ... Nature communications 13 (1), 1161, 2022 | 84 | 2022 |
| Algorithmic encoding of protected characteristics in chest X-ray disease detection models B Glocker, C Jones, M Bernhardt, S Winzeck EBioMedicine 89, 2023 | 68* | 2023 |
| Potential sources of dataset bias complicate investigation of underdiagnosis by machine learning algorithms M Bernhardt, C Jones, B Glocker Nature Medicine 28 (6), 1157-1158, 2022 | 56* | 2022 |
| Risk of Bias in Chest Radiography Deep Learning Foundation Models B Glocker, C Jones, M Roschewitz, S Winzeck Radiology: Artificial Intelligence, e230060, 2023 | 43* | 2023 |
| Training Variational Networks With Multidomain Simulations: Speed-of-Sound Image Reconstruction M Bernhardt, V Vishnevskiy, R Rau, O Goksel IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 67 …, 2020 | 31 | 2020 |
| Automatic correction of performance drift under acquisition shift in medical image classification M Roschewitz, G Khara, J Yearsley, N Sharma, JJ James, É Ambrózay, ... Nature Communications 14 (1), 6608, 2023 | 14 | 2023 |
| The Role of Subgroup Separability in Group-Fair Medical Image Classification C Jones, M Roschewitz, B Glocker International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 9 | 2023 |
| Failure detection in medical image classification: A reality check and benchmarking testbed M Bernhardt, FDS Ribeiro, B Glocker Transactions on Machine Learning Research, 2022 | 6 | 2022 |
| Robust semi-supervised segmentation with timestep ensembling diffusion models M Rosnati, M Roschewitz, B Glocker Machine Learning for Health (ML4H), 512-527, 2023 | 4 | 2023 |
| Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs S Bannur, O Oktay, M Bernhardt, A Schwaighofer, R Jena, B Nushi, ... arXiv preprint arXiv:2107.06618, 2021 | 3 | 2021 |
| Counterfactual contrastive learning: robust representations via causal image synthesis M Roschewitz, F de Sousa Ribeiro, T Xia, G Khara, B Glocker MICCAI Workshop on Data Engineering in Medical Imaging, 22-32, 2024 | 1 | 2024 |
| Mitigating attribute amplification in counterfactual image generation T Xia, M Roschewitz, F De Sousa Ribeiro, C Jones, B Glocker International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 1 | 2024 |
| Distance Matters For Improving Performance Estimation Under Covariate Shift M Roschewitz, B Glocker 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW …, 2023 | 1 | 2023 |
| Automatic dataset shift identification to support root cause analysis of AI performance drift M Roschewitz, R Mehta, C Jones, B Glocker arXiv preprint arXiv:2411.07940, 2024 | | 2024 |
| Rethinking Fair Representation Learning for Performance-Sensitive Tasks C Jones, FS Ribeiro, M Roschewitz, DC Castro, B Glocker arXiv preprint arXiv:2410.04120, 2024 | | 2024 |
| Radio-opaque artefacts in digital mammography: automatic detection and analysis of downstream effects A Schueppert, B Glocker, M Roschewitz arXiv preprint arXiv:2410.03809, 2024 | | 2024 |
| Robust image representations with counterfactual contrastive learning M Roschewitz, FDS Ribeiro, T Xia, G Khara, B Glocker arXiv preprint arXiv:2409.10365, 2024 | | 2024 |
| Generating reports from scanned images O Oktay, JA Valle, M Bernhardt, DC DE CASTRO, S Bannur, ... US Patent App. 17/484,882, 2023 | | 2023 |
