| 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 | 49 | 2023 |
| 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 | 43 | 2022 |
| Echonet-synthetic: Privacy-preserving video generation for safe medical data sharing H Reynaud, Q Meng, M Dombrowski, A Ghosh, T Day, A Gomez, ... International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 28 | 2024 |
| Image Generation Diversity Issues and How to Tame Them M Dombrowski, W Zhang, S Cechnicka, H Reynaud, B Kainz Proceedings of the Computer Vision and Pattern Recognition Conference, 3029-3039, 2025 | 17 | 2025 |
| 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 | 16 | 2024 |
| 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 | 15 | 2023 |
| Foreground-background separation through concept distillation from generative image foundation models M Dombrowski, H Reynaud, M Baugh, B Kainz Proceedings of the IEEE/CVF International Conference on Computer Vision, 988-998, 2023 | 15 | 2023 |
| Bias assessment and data drift detection in medical image analysis: A survey M Dombrowski, A Prenner, B Kainz arXiv preprint arXiv:2409.17800, 2024 | 6 | 2024 |
| 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 | 6 | 2023 |
| Enabling PSO-secure synthetic data sharing using diversity-aware diffusion models M Dombrowski, B Kainz International Conference on Medical Image Computing and Computer-Assisted …, 2025 | 3 | 2025 |
| Quantifying sample anonymity in score-based generative models with adversarial fingerprinting M Dombrowski, B Kainz arXiv preprint arXiv:2306.01363, 2023 | 3 | 2023 |
| Can Diffusion Models Generalize? Privacy and Fairness Trade-offs for Medical Data Sharing. M Dombrowski, B Kainz Medical Imaging with Deep Learning, 2025 | 2 | 2025 |
| Quantifying Anonymity in Score-Based Generators with Adversarial Fingerprinting M Dombrowski, B Kainz | 2 | 2024 |
| Generate to Ground: Multimodal Text Conditioning Boosts Phrase Grounding in Medical Vision-Language Models F Nützel, M Dombrowski, B Kainz Medical Imaging with Deep Learning, 2025 | 1 | 2025 |
| Uncovering Hidden Subspaces in Video Diffusion Models Using Re-Identification M Dombrowski, H Reynaud, B Kainz arXiv preprint arXiv:2411.04956, 2024 | 1 | 2024 |
| Data-Centric Benchmarking of Neural Network Architectures for the Univariate Time Series Forecasting Task P Schlieper, M Dombrowski, A Nguyen, D Zanca, B Eskofier Forecasting 6 (3), 718, 2024 | 1 | 2024 |
| Pay attention: accuracy versus interpretability trade-off in fine-tuned diffusion models M Dombrowski, H Reynaud, JP Muller, M Baugh, B Kainz arXiv Preprint, 2023 | 1 | 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 | 1* | 2022 |
| Recurrent Inertial Graph-Based Estimator (RING): A Single Pluripotent Inertial Motion Tracking Solution S Bachhuber, I Weygers, D Lehmann, M Dombrowski, T Seel Transactions on Machine Learning Research, 0 | 1 | |
| LCMem: A Universal Model for Robust Image Memorization Detection M Dombrowski, F Nützel, B Kainz arXiv preprint arXiv:2512.14421, 2025 | | 2025 |
Bernhard KainzFAU Erlangen-Nürnberg, Imperial College LondonVerified email at imperial.ac.uk
