Bilde av Møllersen, Kajsa
Bilde av Møllersen, Kajsa
Department of Computer Science kajsa.mollersen@uit.no Tromsø You can find me here

Kajsa Møllersen


Job description

Se engelsk versjon.


  • Nikita, Anders, Masoud, Lill-Tove Rasmussen, Stig Manfred, Kajsa et al.:
    Fast TILs—A pipeline for efficient TILs estimation in non-small cell lung cancer
    Journal of Pathology Informatics 01. abril 2025 DOI
  • Masoud, Anders, Mehrdad, Nikita, Lars Ailo Aslaksen, Lill-Tove Rasmussen et al.:
    Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide images
    Journal of Pathology Informatics 2024 DOI / ARKIV
  • Masoud, Lars Ailo Aslaksen, Nikita, Lill-Tove Rasmussen, Kajsa :
    Publicly available datasets of breast histopathology H&E whole-slide images: A scoping review
    Journal of Pathology Informatics 2024 DOI / ARKIV
  • Tonje Kristin, Torbjørn Inge, Karsten, Kajsa, Roger B., Margrethe :
    Effect of Codend Design and Postponed Bleeding on Hemoglobin in Cod Fillets Caught by Bottom Trawl in the Barents Sea Demersal Fishery
    Journal of Aquatic Food Product Technology 2022 DOI / ARKIV
  • Nikita, Morten, Edvard, Kajsa, Lill-Tove Rasmussen, Ruth et al.:
    A Pragmatic Machine Learning Approach to Quantify Tumor-Infiltrating Lymphocytes in Whole Slide Images
    Cancers 2022 DOI / ARKIV
  • Thomas Haugland, Steffen Aagaard, Kajsa, Fred :
    Instance Segmentation of Microscopic Foraminifera
    Applied Sciences 2021 DOI / ARKIV
  • Erica, Magne, Therese Haugdahl, Kajsa :
    Integrative, multi-omics, analysis of blood samples improves model predictions: applications to cancer
    BMC Bioinformatics 2021 DOI / ARKIV
  • Ingvild Hersoug, Marzia, Ilaria, Kajsa, Emanuelle Pessa, Erik Eik et al.:
    Changes in maternal risk factors and their association with changes in cesarean sections in Norway between 1999 and 2016: A descriptive population-based registry study
    PLoS Medicine 2021 DOI / ARKIV
  • Kajsa, Jon Yngve, Fred :
    A probabilistic bag-to-class approach to multiple-instance learning
    Data 26. junio 2020 DOI / ARKIV
  • Einar, Kajsa :
    Woes of The Practicing Omics Researchers
    2020
  • Bjørn, Kajsa, Margareta, Ian, Rune, Finn Egil :
    Surgeon’s experience and clinical outcome after retropubic tension‐free vaginal tape—A case series
    Acta Obstetricia et Gynecologica Scandinavica 2020 DOI / ARKIV
  • Mike, Kajsa, Lars Ailo :
    Reproduction study using public data of: Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs
    PLOS ONE 2019 DOI / ARKIV
  • Thomas Haugland, Kajsa, Samuel, Himar, Aday, Gustavo et al.:
    Recent advances in hyperspectral imaging for melanoma detection
    Wiley Interdisciplinary Reviews: Computational Statistics 2019 DOI / ARKIV
  • Kajsa, Maciel, Thomas Roger Griesbeck, Herbert M., Fred :
    Comparison of computer systems and ranking criteria for automatic melanoma detection in dermoscopic images
    PLOS ONE 2017 DOI / ARKIV
  • Kajsa, Subhra, Fred :
    On Data-Independent Properties for Density-Based Dissimilarity Measures in Hybrid Clustering
    Applied Mathematics 2016 DOI / ARKIV
  • Kajsa, Jon Yngve, Fred :
    Divergence-based colour features for melanoma detection
    2015 DOI
  • Kajsa, Herbert M., Maciel, Thomas Roger Griesbeck, Kristian, Fred :
    Computer-aided decision support for melanoma detection applied on melanocytic and non-melanocytic skin lesions: a comparison of two systems based on automatic analysis of dermoscopic images
    BioMed Research International 2015 DOI / ARKIV
  • Kajsa, Maciel, Kristian, Thomas Roger Griesbeck, Stein Olav, Fred :
    Improved Skin Lesion Diagnostics for General Practice by Computer-Aided Diagnostics
    2015 DOI
  • Maciel, Thomas Roger Griesbeck, Kevin Otto, Marc, Kristian, Herbert M. et al.:
    Performance of a dermoscopy-based computer vision system for the diagnosis of pigmented skin lesions compared with visual evaluation by experienced dermatologists
    Artificial Intelligence in Medicine 2014 DOI / FULLTEKST
  • Stein Olav, Thomas Roger Griesbeck, Kevin Otto, Maciel, Marc, Kajsa et al.:
    A computer aided diagnostic system for malignant melanomas
    2010
  • Kajsa, Herbert M., Thomas Roger Griesbeck, Fred :
    Unsupervised segmentation for digital dermoscopic images
    Skin Research and Technology 2010 DOI
  • Masoud, Kajsa :
    Machine Learning for the Analysis of Breast Cancer Histopathology Images
    UiT Norges arktiske universitet 03. octubre 2025
  • Børge, Linda Gurvin, Hilja Lisa, Kajsa, Thomas :
    Studenters personvern: En diskusjon om etisk bruk av studentdata i forskning.
    2025
  • Kajsa, Lars Ailo, Masoud :
    Cancer detection for white urban Americans
    2023 ARKIV
  • Mehrdad, Masoud, Elio, Biagio, Joao, Alessio et al.:
    Artificial intelligence algorithm developed to predict immune checkpoint inhibitors efficacy in non–small-cell lung cancer
    2023
  • Kajsa :
    The blind leading the blind? Filling the knowledge gap by student peer assessment
    2023 ARKIV
  • Kajsa :
    Facilitating the spread of cancer (data) 
    2022
  • Kajsa :
    The 99% accuracy club
    2022
  • Kajsa :
    The 99% accuracy club
    2021 ARKIV
  • Kajsa :
    Numbers, tables and statistics
    2021 ARKIV
  • Kajsa :
    Pizza made healthy – an epidemiological cookbook
    2021 ARKIV
  • Thomas Haugland, Kajsa, Samuel, Himar, Gustavo, Fred :
    Detecting skin cancer using hyperspectral images
    Advanced Science News 2020
  • Kajsa :
    Statistikkens estetikk
    2019
  • Kajsa :
    Alle disse tallene, alle disse tabellene
    Tilfeldig gang 2019
  • Kajsa :
    Har du genet som gir brystkreft? Uten statistikkforskning får du aldri svar.
    2019
  • Vibeke, Kajsa :
    Nytt dataprogram for å oppdage føflekkreft
    Forskning.no 2016 FULLTEKST
  • Audun, Kajsa :
    Do something meaningful
    2012

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