Cristin-person-ID: 980946
Person

Stine Hansen

  • Stilling:
    Gjest
    ved Institutt for fysikk og teknologi ved UiT Norges arktiske universitet

Resultater Resultater

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

Tomasetti, Luca; Hansen, Stine; Khanmohammadi, Mahdieh; Engan, Kjersti; Høllesli, Liv Jorunn; Kurz, Kathinka Dæhli; Kampffmeyer, Michael Christian. 2023, IEEE International Symposium on Biomedical Imaging. SUS, UIT, UISVitenskapelig artikkel

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

Hansen, Stine; Gautam, Srishti; Salahuddin, Suaiba Amina; Kampffmeyer, Michael Christian; Jenssen, Robert. 2023, Medical Image Analysis. UITVitenskapelig artikkel

Characterization of sequence variations in the D21S11 locus in Danes, Somalis and Greenlanders by second generation sequencing.

Rockenbauer, Eszter; Hansen, Stine; Andersen, Malene R.; Heerup, Emilie F.; Børsting, Claus; Fordyce, Sarah L.; Morling, Niels. 2013, Forensic Science International: Genetics Supplement Series. UIT, KUVitenskapelig artikkel

Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation.

Gautam, Srishti; Hohne, Marina Marie-Claire; Hansen, Stine; Jenssen, Robert; Kampffmeyer, Michael. 2022, Visual Intelligence Days. UITPoster

Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation.

Gautam, Srishti; Hohne, Marina Marie-Claire; Hansen, Stine; Jenssen, Robert; Kampffmeyer, Michael. 2022, NORA Annual Conference. UITPoster
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