Stine Hansen

According to our database, Stine Hansen authored at least 13 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Tied Prototype Model for Few-Shot Medical Image Segmentation.

Hyeongji Kim, Stine Hansen, Michael Kampffmeyer

CoRR, June, 2025

Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction.

Solveig Thrun, Stine Hansen, Zijun Sun, Nele Blum, Suaiba Amina Salahuddin, Kristoffer Wickstrøm, Elisabeth Wetzer, Robert Jenssen, Maik Stille, Michael Kampffmeyer

CoRR, June, 2025

Natural Language Processing for Electronic Health Records in Scandinavian Languages: Norwegian, Swedish, and Danish.

Ashenafi Zebene Woldaregay, Jørgen Aarmo Lund, Phuong Dinh Ngo, Mariyam Tayefi, Per Joel Burman, Stine Hansen, Martin Hylleholt Sillesen, Hercules Dalianis, Robert Jenssen, Lindsetmo Rolf Ole, Karl Øyvind Mikalsen

CoRR, March, 2025

2023

ADNet++: A few-shot learning framework for multi-class medical image volume segmentation with uncertainty-guided feature refinement.

Stine Hansen, Srishti Gautam, Suaiba Amina Salahuddin, Michael Kampffmeyer, Robert Jenssen

Medical Image Anal., October, 2023

<i>This</i> looks <i>More</i> Like <i>that</i>: Enhancing Self-Explaining Models by Prototypical Relevance Propagation.

Srishti Gautam, Marina M.-C. Höhne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer

Pattern Recognit., April, 2023

Data-Centric Machine Learning for Geospatial Remote Sensing Data.

Ribana Roscher, Marc Rußwurm, Caroline Gevaert, Michael Kampffmeyer, Jefersson A. dos Santos, Maria Vakalopoulou, Ronny Hänsch, Stine Hansen, Keiller Nogueira, Jonathan Prexl, Devis Tuia

CoRR, 2023

Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion Segmentation.

Luca Tomasetti, Stine Hansen, Mahdieh Khanmohammadi, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz, Michael Kampffmeyer

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels.

Stine Hansen, Srishti Gautam, Robert Jenssen, Michael Kampffmeyer

Medical Image Anal., 2022

ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model.

Srishti Gautam, Ahcène Boubekki, Stine Hansen, Suaiba Amina Salahuddin, Robert Jenssen, Marina M.-C. Höhne, Michael Kampffmeyer

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Demonstrating the Risk of Imbalanced Datasets in Chest X-Ray Image-Based Diagnostics by Prototypical Relevance Propagation.

Srishti Gautam, Marina M.-C. Höhne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

A self-guided anomaly detection-inspired few-shot segmentation network.

Suaiba Amina Salahuddin, Stine Hansen, Srishti Gautam, Michael Kampffmeyer, Robert Jenssen

Proceedings of the Colour and Visual Computing Symposium 2022, 2022

2021

Unsupervised supervoxel-based lung tumor segmentation across patient scans in hybrid PET/MRI.

Stine Hansen, Samuel Kuttner, Michael Kampffmeyer, Tom-Vegard Markussen, Rune Sundset, Silje Kjærnes Øen, Live Eikenes, Robert Jenssen

Expert Syst. Appl., 2021

This looks more like that: Enhancing Self-Explaining Models by Prototypical Relevance Propagation.

Srishti Gautam, Marina M.-C. Höhne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer

CoRR, 2021