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Søk etter prosjekter, resultater og personer
Søk etter prosjekter, resultater og personer
Cristin-person-ID:
980946
Person
Stine Hansen
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, UIS
Vitenskapelig 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. UIT
Vitenskapelig 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, KU
Vitenskapelig 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. UIT
Poster
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. UIT
Poster
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