| D’artagnan: Counterfactual video generation H Reynaud, A Vlontzos, M Dombrowski, C Gilligan Lee, A Beqiri, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 11 | 2022 |
| Feature-conditioned cascaded video diffusion models for precise echocardiogram synthesis H Reynaud, M Qiao, M Dombrowski, T Day, R Razavi, A Gomez, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 10 | 2023 |
| Foreground-Background Separation through Concept Distillation from Generative Image Foundation Models M Dombrowski, H Reynaud, M Baugh, B Kainz arXiv preprint arXiv:2212.14306, 2022 | 5* | 2022 |
| Confidence-Aware and Self-supervised Image Anomaly Localisation J P. Müller, M Baugh, J Tan, M Dombrowski, B Kainz International Workshop on Uncertainty for Safe Utilization of Machine …, 2023 | 1 | 2023 |
| Many tasks make light work: Learning to localise medical anomalies from multiple synthetic tasks M Baugh, J Tan, JP Müller, M Dombrowski, J Batten, B Kainz International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 1 | 2023 |
| Pay Attention: Accuracy Versus Interpretability Trade-off in Fine-tuned Diffusion Models M Dombrowski, H Reynaud, JP Müller, M Baugh, B Kainz arXiv preprint arXiv:2303.17908, 2023 | 1 | 2023 |
| Trade-Offs in Fine-Tuned Diffusion Models between Accuracy and Interpretability M Dombrowski, H Reynaud, JP Müller, M Baugh, B Kainz Proceedings of the AAAI Conference on Artificial Intelligence 38 (19), 21037 …, 2024 | | 2024 |
| Quantifying Anonymity in Score-Based Generators with Adversarial Fingerprinting M Dombrowski, B Kainz | | 2023 |
| Quantifying Sample Anonymity in Score-Based Generative Models with Adversarial Fingerprinting M Dombrowski, B Kainz arXiv preprint arXiv:2306.01363, 2023 | | 2023 |
