| Predicting bearings degradation stages for predictive maintenance in the pharmaceutical industry D Juodelyte, V Cheplygina, T Graversen, P Bonnet Proceedings of the 28th acm sigkdd conference on knowledge discovery and …, 2022 | 8 | 2022 |
| Detecting Shortcuts in Medical Images—A Case Study in Chest X-rays AJ Sánchez, D Juodelyte, B Chamberlain, V Cheplygina | 6* | 2022 |
| Revisiting Hidden Representations in Transfer Learning for Medical Imaging D Juodelyte, A Jiménez-Sánchez, V Cheplygina Transactions on Machine Learning Research, 2023 | 2 | 2023 |
| Augmenting chest x-ray datasets with non-expert annotations C Damgaard, TN Eriksen, D Juodelyte, V Cheplygina, ... arXiv preprint arXiv:2309.02244, 2023 | 1 | 2023 |
| Source Matters: Source Dataset Impact on Model Robustness in Medical Imaging D Juodelyte, Y Lu, A Jiménez-Sánchez, S Bottazzi, E Ferrante, ... arXiv preprint arXiv:2403.04484, 2024 | | 2024 |
| Towards actionability for open medical imaging datasets: lessons from community-contributed platforms for data management and stewardship A Jiménez-Sánchez, NR Avlona, D Juodelyte, T Sourget, C Vang-Larsen, ... arXiv preprint arXiv:2402.06353, 2024 | | 2024 |
| [Citation needed] Data usage and citation practices in medical imaging conferences T Sourget, A Akkoç, S Winther, CL Galsgaard, A Jiménez-Sánchez, ... arXiv preprint arXiv:2402.03003, 2024 | | 2024 |
Veronika CheplyginaIT University CopenhagenVerified email at itu.dk
