| 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 | 3 | 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 |
| 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 |
| Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis G Shkëmbi, JP Müller, Z Li, K Breininger, P Schüffler, B Kainz MICCAI Workshop on Data Engineering in Medical Imaging, 11-20, 2023 | 1 | 2023 |
| 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 |
| Resource-efficient Medical Image Analysis with Self-adapting Forward-Forward Networks JP Müller, B Kainz arXiv preprint arXiv:2406.14038, 2024 | | 2024 |
| Automatic Segmentation of Lymphatic Perfusion in Patients with Congenital Single Ventricle Defects M Stegmaier, JP Müller, C Schröder, T Day, M Cuomo, O Dewald, ... BVM Workshop, 255-260, 2024 | | 2024 |
| Stochastic Vision Transformers with Wasserstein Distance-Aware Attention F Xaverius Erick, M Rezaei, JP Müller, B Kainz arXiv e-prints, arXiv: 2311.18645, 2023 | | 2023 |
| Simplifying Medical Ultrasound: 4th International Workshop, ASMUS 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings B Kainz, A Noble, J Schnabel, B Khanal, JP Müller, T Day Springer Nature, 2023 | | 2023 |
| Learnable Slice-to-volume Reconstruction for Motion Compensation in Fetal Magnetic Resonance Imaging C Jehn, JP Müller, B Kainz BVM Workshop, 25-31, 2023 | | 2023 |
| 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 | | |
| Uncertainty-Aware Vision Transformers for Medical Image Analysis FX Erick, M Rezaei, JP Müller, B Kainz 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
