Bilde av Kuttner, Samuel
Photo: UiT
Bilde av Kuttner, Samuel
Department of Physics and Technology samuel.kuttner@uit.no +4777623210 Tromsø FPARK B 211

Samuel Kuttner


Adjunct Associate Professor / Machine Learning


  • Samuel Kuttner, Kristoffer Knutsen Wickstrøm, Mark Lubberink, Andreas Tolf, Joachim Burman, Rune Sundset et al.:
    Cerebral blood flow measurements with 15O-water PET using a non-invasive machine-learning-derived arterial input function
    Journal of Cerebral Blood Flow and Metabolism 08. February 2021 ARKIV / DOI
  • Seyed Esmaeil Dorraji, Ana Oteiza, Samuel Kuttner, Armas Maria Montserrat Martin, Premasany Kanapathippillai, Sara Garbarino et al.:
    Positron emission tomography and single photon emission computed tomography imaging of tertiary lymphoid structures during the development of lupus nephritis
    International Journal of Immunopathology and Pharmacology 2021 ARKIV / DOI
  • 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
    Expert Systems With Applications 29. November 2020 ARKIV / DOI
  • Samuel Kuttner, Kristoffer Knutsen Wickstrøm, Gustav Kalda, Seyed Esmaeil Dorraji, Montserrat Martin-Armas, Ana Oteiza et al.:
    Machine learning derived input-function in a dynamic 18F-FDG PET study of mice
    Biomedical Engineering & Physics Express 2020 ARKIV / DOI
  • Samuel Kuttner, Martin Lyngby Lassen, Silje Kjærnes Øen, Rune Sundset, Thomas Beyer, Live Eikenes :
    Quantitative PET/MR imaging of lung cancer in the presence of artifacts in the MR-based attenuation correction maps
    Acta Radiologica 2019 ARKIV / DOI
  • Richard Fjellaksel, Ana Oteiza, Montserrat Martin-Armas, Patrick Riss, Ole Kristian Hjelstuen, Samuel Kuttner et al.:
    First in vivo evaluation of a potential SPECT brain radiotracer for the gonadotropin releasing hormone receptor
    BMC Research Notes 2018 ARKIV / DOI
  • Pirjo Åström, Krista Juurikka, Elin Synnøve Hadler-Olsen, Gunbjørg Svineng, Nilva K. Cervigne, Ricardo D. Coletta et al.:
    The interplay of matrix metalloproteinase-8, transforming growth factor-β1 and vascular endothelial growth factor-C cooperatively contributes to the aggressiveness of oral tongue squamous cell carcinoma
    British Journal of Cancer 2017 ARKIV / DOI
  • Arnoldus S Blix, Samuel Kuttner, Edvard Berger Messelt :
    Ascending aorta of hooded seals with particular emphasis on its vasa vasorum
    American Journal of Physiology. Regulatory Integrative and Comparative Physiology 2016 DOI
  • Samuel Kuttner, Robert Bujila, Mika Kortesniemi, Henrik Andersson, Love Kull, Bjørn Helge Østerås et al.:
    A proposed protocol for acceptance and constancy control of computed tomography systems: A Nordic Association for Clinical Physics (NACP) work group report
    Acta Radiologica 2013 DOI
  • Samuel Kuttner, Luigi Tommaso Luppino, Kristoffer Wickstrøm, Nils Thomas Doherty Midtbø, Seyed Esmaeil Dorraji, Ana Oteiza et al.:
    Deep learning derived input function in dynamic 18F-FDG PET imaging of mice
    2022
  • Samuel Kuttner, Martin Lyngby Lassen, Silje Kjærnes Øen, Rune Sundset, Thomas Beyer, Live Eikenes :
    The impact of artefacts in MR-based attenuation correction maps on PET/MR images of lung cancer
    2018
  • Aurora Rosvoll Grøndahl, Samuel Kuttner, Mattijs Elschot, Tone Frost Bathen, Rune Sundset, Ingerid Skjei Knudtsen et al.:
    Maskinlæring og medisinske bilder for bedre diagnostikk og persontilpasset kreftbehandling
    HMT - Helsetjenesten Medisinsk Teknikk : helse, medisin, teknikk 2018
  • Angel Moldes-Anaya, Lorenzo Ragazzi, Samuel Kuttner, Daniel Vincenz, Jürgen Goldschmidt, Vegard Brun et al.:
    Targetting mnemonic pathways of stress by cerebral perfusion using 99mTc-HMPAO SPECT/CT
    2017
  • Angel Moldes-Anaya, Samuel Kuttner, Daniel Vincenz, Jürgen Goldschmidt, Vegard Brun, Kirsten Brun Kjelstrup :
    Targeting mnemonic pathways of stress by cerebral perfusion using 99mTc-HMPAO SPECT/CT
    2015

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    Research interests

    Positron emission tomography (PET), Machine Learning, Deep Learning, Medical Physics, Medical Imaging, Image Analysis



    FPARK B 211

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