| 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 | 20 | 2022 |
| Detecting Shortcuts in Medical Images—A Case Study in Chest X-rays AJ Sánchez, D Juodelyte, B Chamberlain, V Cheplygina | 15* | 2022 |
| Revisiting Hidden Representations in Transfer Learning for Medical Imaging D Juodelyte, A Jiménez-Sánchez, V Cheplygina Transactions on Machine Learning Research, 2023 | 14 | 2023 |
| Source matters: Source dataset impact on model robustness in medical imaging D Juodelyte, Y Lu, A Jiménez-Sánchez, S Bottazzi, E Ferrante, ... International Workshop on Applications of Medical AI, 105-115, 2024 | 6 | 2024 |
| Copycats: the many lives of a publicly available medical imaging dataset AJ Sánchez, NR Avlona, D Juodelyte, T Sourget, C Vang-Larsen, ... Advances in Neural Information Processing Systems 38 (NeurIPS 2024 …, 2024 | 4* | 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 | 3 | 2024 |
| Augmenting chest x-ray datasets with non-expert annotations C Damgaard, TN Eriksen, D Juodelyte, V Cheplygina, ... arXiv preprint arXiv:2309.02244, 2023 | 2 | 2023 |
| Exploring connections of spectral analysis and transfer learning in medical imaging Y Lu, D Juodelyte, JD Victor, V Cheplygina arXiv preprint arXiv:2407.11379, 2024 | 1 | 2024 |
| In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review A Jiménez-Sánchez, NR Avlona, S de Boer, VM Campello, A Feragen, ... arXiv preprint arXiv:2501.10727, 2025 | | 2025 |
| On dataset transferability in medical image classification D Juodelyte, E Ferrante, Y Lu, P Singh, J Vanschoren, V Cheplygina arXiv preprint arXiv:2412.20172, 2024 | | 2024 |
| imaging conferences T Sourget, A Akkoç, S Winther, CL Galsgaard, A Jiménez-Sánchez, ... | | 2024 |
| Source Matters: Source Dataset Impact on Model Robustness in Medical Imaging D Juodelyte, Y Lu, A Jiménez-Sánchez, S Bottazzi, E Ferrante, ... Applications of Medical Artificial Intelligence: Third International …, 0 | | |
Veronika CheplyginaIT University Copenhagenبريد إلكتروني تم التحقق منه على itu.dk