Stine Hansen - RankMe

19 papers A* 1Journal 13Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Natural Language Processing for Electronic Health Records in Scandinavian Languages: Norwegian, Swedish, and Danish. CoRR 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
2025	—	`conf`	Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction. MICCAI (2) Solveig Thrun, Stine Hansen, Zijun Sun, Nele Blum, Suaiba Amina Salahuddin, Kristoffer Wickstrøm, Elisabeth Wetzer, Robert Jenssen, Maik Stille, Michael Kampffmeyer
2025	J	`jnl`	Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction. CoRR Solveig Thrun, Stine Hansen, Zijun Sun, Nele Blum, Suaiba Amina Salahuddin, Kristoffer Wickstrøm, Elisabeth Wetzer, Robert Jenssen, Maik Stille, Michael Kampffmeyer
2025	J	`jnl`	The Impact of Longitudinal Mammogram Alignment on Breast Cancer Risk Assessment. CoRR Solveig Thrun, Stine Hansen, Zijun Sun, Nele Blum, Suaiba Amina Salahuddin, Xin Wang, Kristoffer Wickstrøm, Elisabeth Wetzer, Robert Jenssen, Maik Stille, Michael Kampffmeyer
2025	—	`conf`	Tied Prototype Model for Few-Shot Medical Image Segmentation. MICCAI (3) Hyeongji Kim, Stine Hansen, Michael Kampffmeyer
2025	J	`jnl`	Tied Prototype Model for Few-Shot Medical Image Segmentation. CoRR Hyeongji Kim, Stine Hansen, Michael Kampffmeyer
2023	J	`jnl`	ADNet++: A few-shot learning framework for multi-class medical image volume segmentation with uncertainty-guided feature refinement. Medical Image Anal. Stine Hansen, Srishti Gautam, Suaiba Amina Salahuddin, Michael Kampffmeyer, Robert Jenssen
2023	J	`jnl`	Data-Centric Machine Learning for Geospatial Remote Sensing Data. CoRR Ribana Roscher, Marc Rußwurm, Caroline Gevaert, Michael Kampffmeyer, Jefersson A. dos Santos, Maria Vakalopoulou, Ronny Hänsch, Stine Hansen, Keiller Nogueira, Jonathan Prexl, Devis Tuia
2023	—	`conf`	Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion Segmentation. ISBI Luca Tomasetti, Stine Hansen, Mahdieh Khanmohammadi, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz, Michael Kampffmeyer
2023	J	`jnl`	Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion Segmentation. CoRR Luca Tomasetti, Stine Hansen, Mahdieh Khanmohammadi, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz, Michael Kampffmeyer
2022	—	`conf`	A self-guided anomaly detection-inspired few-shot segmentation network. CVCS Suaiba Amina Salahuddin, Stine Hansen, Srishti Gautam, Michael Kampffmeyer, Robert Jenssen
2022	J	`jnl`	Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With Supervoxels. CoRR Stine Hansen, Srishti Gautam, Robert Jenssen, Michael Kampffmeyer
2022	J	`jnl`	Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels. Medical Image Anal. Stine Hansen, Srishti Gautam, Robert Jenssen, Michael Kampffmeyer
2022	J	`jnl`	Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation. CoRR Srishti Gautam, Marina M.-C. Höhne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer
2022	—	`conf`	Demonstrating the Risk of Imbalanced Datasets in Chest X-Ray Image-Based Diagnostics by Prototypical Relevance Propagation. ISBI Srishti Gautam, Marina M.-C. Höhne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer
2022	A*	`conf`	ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model. NeurIPS Srishti Gautam, Ahcène Boubekki, Stine Hansen, Suaiba Amina Salahuddin, Robert Jenssen, Marina M.-C. Höhne, Michael Kampffmeyer
2022	J	`jnl`	ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model. CoRR Srishti Gautam, Ahcene Boubekki, Stine Hansen, Suaiba Amina Salahuddin, Robert Jenssen, Marina M.-C. Höhne, Michael Kampffmeyer
2021	J	`jnl`	This looks more like that: Enhancing Self-Explaining Models by Prototypical Relevance Propagation. CoRR Srishti Gautam, Marina M.-C. Höhne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer
2021	J	`jnl`	Unsupervised supervoxel-based lung tumor segmentation across patient scans in hybrid PET/MRI. Expert Syst. Appl. Stine Hansen, Samuel Kuttner, Michael Kampffmeyer, Tom-Vegard Markussen, Rune Sundset, Silje Kjærnes Øen, Live Eikenes, Robert Jenssen