| Disyre: Diffusion-inspired synthetic restoration for unsupervised anomaly detection SN Marimont, M Baugh, V Siomos, C Tzelepis, B Kainz, G Tarroni 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2024 | 5* | 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 | 5 | 2023 |
| Zero-shot anomaly detection with pre-trained segmentation models M Baugh, J Batten, JP Müller, B Kainz arXiv preprint arXiv:2306.09269, 2023 | 4 | 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 | 4* | 2023 |
| nnOOD: A framework for benchmarking self-supervised anomaly localisation methods M Baugh, J Tan, A Vlontzos, JP Müller, B Kainz International Workshop on Uncertainty for Safe Utilization of Machine …, 2022 | 3 | 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 | 2 | 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 | 2 | 2023 |
| MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI W Zhang, B Basaran, Q Meng, M Baugh, J Stelter, P Lung, U Patel, W Bai, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 2 | 2023 |
| Adnexal mass segmentation with ultrasound data synthesis C Lebbos, J Barcroft, J Tan, J Müller, M Baugh, A Vlontzos, S Saso, ... International Workshop on Advances in Simplifying Medical Ultrasound, 106-116, 2022 | 2 | 2022 |
| Pay attention: accuracy versus interpretability trade-off in fine-tuned diffusion models M Dombrowski, H Reynaud, JP Muller, M Baugh, B Kainz CoRR, 2023 | 1 | 2023 |
| JVID: Joint Video-Image Diffusion for Visual-Quality and Temporal-Consistency in Video Generation H Reynaud, M Baugh, M Dombrowski, S Cechnicka, Q Meng, B Kainz arXiv preprint arXiv:2409.14149, 2024 | | 2024 |
| Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis L Li, H Wang, M Baugh, Q Ma, W Zhang, C Ouyang, D Rueckert, B Kainz arXiv preprint arXiv:2409.09796, 2024 | | 2024 |
| URCDM: Ultra-Resolution Image Synthesis in Histopathology S Cechnicka, J Ball, M Baugh, H Reynaud, N Simmonds, A Smith, ... arXiv preprint arXiv:2407.13277, 2024 | | 2024 |
| Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection SN Marimont, V Siomos, M Baugh, C Tzelepis, B Kainz, G Tarroni arXiv preprint arXiv:2407.06635, 2024 | | 2024 |
| Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection S Naval Marimont, V Siomos, M Baugh, C Tzelepis, B Kainz, G Tarroni arXiv e-prints, arXiv: 2407.06635, 2024 | | 2024 |
| Image-conditioned Diffusion Models for Medical Anomaly Detection M Baugh, H Reynaud, SN Marimont, S Cechnicka, JP Müller, G Tarroni, ... Uncertainty for Safe Utilization of Machine Learning in Medical Imaging-6th …, 0 | | |
Bernhard KainzImperial College London, FAU Erlangen-NürnbergBestätigte E-Mail-Adresse bei imperial.ac.uk
