| Ultrasound video transformers for cardiac ejection fraction estimation H Reynaud, A Vlontzos, B Hou, A Beqiri, P Leeson, B Kainz Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 43 | 2021 |
| QU-BraTS: MICCAI BraTS 2020 challenge on quantifying uncertainty in brain tumor segmentation-analysis of ranking scores and benchmarking results R Mehta, A Filos, U Baid, C Sako, R McKinley, M Rebsamen, K Dätwyler, ... The journal of machine learning for biomedical imaging 2022, 2022 | 34 | 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 | 11 | 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 | 11 | 2022 |
| GenerateCT: text-guided 3D chest CT generation IE Hamamci, S Er, E Simsar, A Tezcan, AG Simsek, F Almas, SN Esirgun, ... arXiv preprint arXiv:2305.16037, 2023 | 6 | 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 | 5* | 2023 |
| Self-training for brain tumour segmentation with uncertainty estimation and biophysics-guided survival prediction C Dai, S Wang, H Raynaud, Y Mo, E Angelini, Y Guo, W Bai Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2021 | 5 | 2021 |
| Cross Modality 3D Navigation Using Reinforcement Learning and Neural Style Transfer C Magnetti, H Reynaud, B Kainz arXiv preprint arXiv:2111.03485, 2021 | 2 | 2021 |
| 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 |
| Is more data all you need? a causal exploration A Vlontzos, H Reynaud, B Kainz arXiv preprint arXiv:2206.02409, 2022 | 1 | 2022 |
| 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 |
| Ultra-Resolution Cascaded Diffusion Model for Gigapixel Image Synthesis in Histopathology S Cechnicka, H Reynaud, J Ball, N Simmonds, C Horsfield, A Smith, ... arXiv preprint arXiv:2312.01152, 2023 | | 2023 |
| Exploring the Hyperparameter Space of Image Diffusion Models for Echocardiogram Generation H Reynaud, B Kainz arXiv preprint arXiv:2311.01567, 2023 | | 2023 |
| Realistic Data Enrichment for Robust Image Segmentation in Histopathology S Cechnicka, J Ball, H Reynaud, C Arthurs, C Roufosse, B Kainz MICCAI Workshop on Domain Adaptation and Representation Transfer, 63-72, 2023 | | 2023 |
Bernhard KainzImperial College London, FAU Erlangen-NürnbergVerifierad e-postadress på imperial.ac.uk
