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Stine Hansen
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Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels
S Hansen, S Gautam, R Jenssen, M Kampffmeyer
Medical Image Analysis 78, 102385, 2022
562022
This looks more like that: Enhancing self-explaining models by prototypical relevance propagation
S Gautam, MMC Höhne, S Hansen, R Jenssen, M Kampffmeyer
Pattern Recognition 136, 109172, 2023
352023
Protovae: A trustworthy self-explainable prototypical variational model
S Gautam, A Boubekki, S Hansen, S Salahuddin, R Jenssen, M Höhne, ...
Advances in Neural Information Processing Systems 35, 17940-17952, 2022
222022
Unsupervised supervoxel-based lung tumor segmentation across patient scans in hybrid PET/MRI
S Hansen, S Kuttner, M Kampffmeyer, TV Markussen, R Sundset, SK Øen, ...
Expert Systems with Applications 167, 114244, 2021
152021
Demonstrating the risk of imbalanced datasets in chest x-ray image-based diagnostics by prototypical relevance propagation
S Gautam, MMC Höhne, S Hansen, R Jenssen, M Kampffmeyer
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022
92022
ADNet++: A few-shot learning framework for multi-class medical image volume segmentation with uncertainty-guided feature refinement
S Hansen, S Gautam, SA Salahuddin, M Kampffmeyer, R Jenssen
Medical Image Analysis 89, 102870, 2023
62023
Data-Centric Machine Learning for Geospatial Remote Sensing Data
R Roscher, M Rußwurm, C Gevaert, M Kampffmeyer, JA Santos, ...
arXiv preprint arXiv:2312.05327, 2023
22023
Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion Segmentation
L Tomasetti, S Hansen, M Khanmohammadi, K Engan, LJ Høllesli, ...
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023
22023
Leveraging supervoxels for medical image volume segmentation with limited supervision
S Hansen
UiT Norges arktiske universitet, 2022
12022
A self-guided anomaly detection-inspired few-shot segmentation network
SA Salahuddin, S Hansen, S Gautam, M Kampffmeyer, R Jenssen
CEUR Workshop Proceedings, 2022
12022
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