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
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
Stine Hansen,
Srishti Gautam,
Robert Jenssen,
Michael Kampffmeyer
:
Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels
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
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
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
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
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