No picture, placeholder image
No picture, placeholder image
Department of Physics and Technology s.hansen@uit.no You can find me here

Stine Hansen


Researcher / Machine Learning


  • Luca Tomasetti, Stine Hansen, Mahdieh Khanmohammadi, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz et al.:
    Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion Segmentation
    IEEE International Symposium on Biomedical Imaging 2023 ARKIV / DOI
  • Stine Hansen, Srishti Gautam, Suaiba Amina Salahuddin, Michael Christian Kampffmeyer, Robert Jenssen :
    ADNet++: A few-shot learning framework for multi-class medical image volume segmentation with uncertainty-guided feature refinement
    Medical Image Analysis 2023 ARKIV / DOI
  • Stine Hansen, Srishti Gautam, Robert Jenssen, Michael Kampffmeyer :
    Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels
    Medical Image Analysis 2022 ARKIV / DOI
  • Srishti Gautam, Marina Marie-Claire Hohne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer :
    Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation
    IEEE International Symposium on Biomedical Imaging 2022 DOI
  • Suaiba Amina Salahuddin, Stine Hansen, Srishti Gautam, Michael Kampffmeyer, Robert Jenssen :
    A self-guided anomaly detection-inspired few-shot segmentation network
    CEUR Workshop Proceedings 2022 ARKIV
  • Srishti Gautam, Marina Marie-Claire Hohne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer :
    This looks more like that: Enhancing Self-Explaining Models by Prototypical Relevance Propagation
    Pattern Recognition 2022 ARKIV / DOI
  • Srishti Gautam, Ahcene Boubekki, Stine Hansen, Suaiba Amina Salahuddin, Robert Jenssen, Marina Marie-Claire Hohne et al.:
    ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model
    Advances in Neural Information Processing Systems 2022 ARKIV / DOI
  • Stine Hansen, Samuel Kuttner, Michael Kampffmeyer, Tom-Vegard Markussen, Rune Sundset, Silje Kjærnes Øen et al.:
    Unsupervised supervoxel-based lung tumor segmentation across patient scans in hybrid PET/MRI
    Expert Systems With Applications 29. November 2020 ARKIV / DOI
  • Eszter Rockenbauer, Stine Hansen, Malene R. Andersen, Emilie F. Heerup, Claus Børsting, Sarah L. Fordyce et al.:
    Characterization of sequence variations in the D21S11 locus in Danes, Somalis and Greenlanders by second generation sequencing
    Forensic Science International: Genetics Supplement Series 2013 DOI
  • Srishti Gautam, Marina Marie-Claire Hohne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer :
    Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation
    2022
  • Srishti Gautam, Marina Marie-Claire Hohne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer :
    Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation
    2022
  • Srishti Gautam, Marina Marie-Claire Hohne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer :
    Artifact Detection with Prototypical Relevance Propagation
    2022
  • Stine Hansen, Srishti Gautam, Robert Jenssen, Michael Kampffmeyer :
    Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision
    2021

  • The 50 latest publications is shown on this page. See all publications in Cristin here →