| 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 | 29 | 2022 |
| 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 | 18* | 2022 |
| 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 | 17 | 2020 |
| Algorithmic encoding of protected characteristics in chest X-ray disease detection models B Glocker, C Jones, M Bernhardt, S Winzeck EBioMedicine 89, 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 | 4 | 2022 |
| Risk of Bias in Chest X-ray Foundation Models B Glocker, C Jones, M Bernhardt, S Winzeck arXiv preprint arXiv:2209.02965, 2022 | 4 | 2022 |
| 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 | 1 | 2021 |
| The Role of Subgroup Separability in Group-Fair Medical Image Classification C Jones, M Roschewitz, B Glocker arXiv preprint arXiv:2307.02791, 2023 | | 2023 |
| Generating reports from scanned images O Oktay, JA Valle, M Bernhardt, DC DE CASTRO, S Bannur, ... US Patent App. 17/484,882, 2023 | | 2023 |
