Bilde av Møllersen, Kajsa
Bilde av Møllersen, Kajsa
Institutt for samfunnsmedisin kajsa.mollersen@uit.no +4797783940 Tromsø

Kajsa Møllersen


Førsteamanuensis, biostatistikk


  • Tonje Kristin Jensen, Torbjørn Inge Tobiassen, Karsten Heia, Kajsa Møllersen, Roger B. Larsen, Margrethe Esaiassen :
    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 ARKIV / DOI
  • Nikita Shvetsov, Morten Grønnesby, Edvard Pedersen, Kajsa Møllersen, Lill-Tove Rasmussen Busund, Ruth Schwienbacher m.fl.:
    A Pragmatic Machine Learning Approach to Quantify Tumor-Infiltrating Lymphocytes in Whole Slide Images
    Cancers 2022 ARKIV / DOI
  • Thomas Haugland Johansen, Steffen Aagaard Sørensen, Kajsa Møllersen, Fred Godtliebsen :
    Instance Segmentation of Microscopic Foraminifera
    Applied Sciences 2021 ARKIV / DOI
  • Erica Ponzi, Magne Thoresen, Therese Haugdahl Nøst, Kajsa Møllersen :
    Integrative, multi-omics, analysis of blood samples improves model predictions: applications to cancer
    BMC Bioinformatics 2021 ARKIV / DOI
  • Ingvild Hersoug Nedberg, Marzia Lazzerini, Ilaria Mariani, Kajsa Møllersen, Emanuelle Pessa Valente, Erik Eik Anda m.fl.:
    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 ARKIV / DOI
  • Einar Holsbø, Kajsa Møllersen :
    Woes of The Practicing Omics Researchers
    Universitetsforlaget 2020
  • Kajsa Møllersen, Jon Yngve Hardeberg, Fred Godtliebsen :
    A probabilistic bag-to-class approach to multiple-instance learning
    Data 26. juni 2020 ARKIV / DOI
  • Bjørn Holdø, Kajsa Møllersen, Margareta Verelst, Ian Milsom, Rune Svenningsen, Finn Egil Skjeldestad :
    Surgeon’s experience and clinical outcome after retropubic tension‐free vaginal tape—A case series
    Acta Obstetricia et Gynecologica Scandinavica 2020 ARKIV / DOI
  • Mike Voets, Kajsa Møllersen, Lars Ailo Bongo :
    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 ARKIV / DOI
  • Thomas Haugland Johansen, Kajsa Møllersen, Samuel Ortega, Himar Fabelo, Aday Garcia, Gustavo Callico m.fl.:
    Recent advances in hyperspectral imaging for melanoma detection
    Wiley Interdisciplinary Reviews: Computational Statistics 2019 ARKIV / DOI
  • Kajsa Møllersen, Maciel Zortea, Thomas Roger Griesbeck Schopf, Herbert M. Kirchesch, Fred Godtliebsen :
    Comparison of computer systems and ranking criteria for automatic melanoma detection in dermoscopic images
    PLOS ONE 2017 ARKIV / DOI
  • Kajsa Møllersen, Subhra Dhar, Fred Godtliebsen :
    On Data-Independent Properties for Density-Based Dissimilarity Measures in Hybrid Clustering
    Applied Mathematics 2016 ARKIV / DOI
  • Kajsa Møllersen, Maciel Zortea, Kristian Hindberg, Thomas Roger Griesbeck Schopf, Stein Olav Skrøvseth, Fred Godtliebsen :
    Improved Skin Lesion Diagnostics for General Practice by Computer-Aided Diagnostics
    CRC Press 2015 DOI
  • Kajsa Møllersen, Herbert M. Kirchesch, Maciel Zortea, Thomas Roger Griesbeck Schopf, Kristian Hindberg, Fred Godtliebsen :
    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 ARKIV / DOI
  • Kajsa Møllersen, Jon Yngve Hardeberg, Fred Godtliebsen :
    Divergence-based colour features for melanoma detection
    IEEE conference proceedings 2015 DOI
  • Maciel Zortea, Thomas Roger Griesbeck Schopf, Kevin Otto Thon, Marc Geilhufe, Kristian Hindberg, Herbert M. Kirchesch m.fl.:
    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 FULLTEKST / DOI
  • Stein Olav Skrøvseth, Thomas Roger Griesbeck Schopf, Kevin Otto Thon, Maciel Zortea, Marc Geilhufe, Kajsa Møllersen m.fl.:
    A computer aided diagnostic system for malignant melanomas
    IEEE conference proceedings 2010 SAMMENDRAG
  • Kajsa Møllersen, Herbert M. Kirchesch, Thomas Roger Griesbeck Schopf, Fred Godtliebsen :
    Unsupervised segmentation for digital dermoscopic images
    Skin research and technology 2010 DOI
  • Kajsa Møllersen :
    Numbers, tables and statistics
    2021
  • Kajsa Møllersen :
    Pizza made healthy – an epidemiological cookbook
    2021
  • Kajsa Møllersen :
    The 99% accuracy club
    2021
  • Thomas Haugland Johansen, Kajsa Møllersen, Samuel Ortega, Himar Fabelo, Gustavo Callico, Fred Godtliebsen :
    Detecting skin cancer using hyperspectral images
    Advanced Science News 2020
  • Kajsa Møllersen :
    Statistikkens estetikk
    2019
  • Kajsa Møllersen :
    Har du genet som gir brystkreft? Uten statistikkforskning får du aldri svar.
    www.forskning.no 2019
  • Kajsa Møllersen :
    Alle disse tallene, alle disse tabellene
    Tilfeldig gang 2019
  • Vibeke Os, Kajsa Møllersen :
    Nytt dataprogram for å oppdage føflekkreft
    Forskning.no 2016 FULLTEKST
  • Audun Hetland, Kajsa Møllersen :
    Do something meaningful
    2012

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    Forskningsinteresser

    Anvendt statistikk; Billedanalyse; Clustering; Divergence functions; Feature selection; Føflekkreft; Brystkreft; Genuttrykk


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