Folgen
Matthew Baugh
Titel
Zitiert von
Zitiert von
Jahr
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
Zero-shot anomaly detection with pre-trained segmentation models
M Baugh, J Batten, JP Müller, B Kainz
arXiv preprint arXiv:2306.09269, 2023
32023
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
22022
DISYRE: Diffusion-Inspired SYnthetic REstoration for Unsupervised Anomaly Detection
SN Marimont, M Baugh, V Siomos, C Tzelepis, B Kainz, G Tarroni
arXiv preprint arXiv:2311.15453, 2023
1*2023
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
12023
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
12023
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
12023
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
12023
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
12022
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
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–10