Morten Grønnesby



  • 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
  • Bjørn, Nina, Morten, maria wulff, Hedinn, Fredrik Høisæther et al.:
    Teaching Electronics and Programming in Norwegian Schools Using the air:bit Sensor Kit
    2019 DOI
  • Bjørn, Nina, maria wulff, Joachim Sveia, Morten, Hedinn et al.:
    Low-Cost Programmable Air Quality Sensor Kits in Science Education
    2018 DOI / ARKIV
  • Morten, Juan Carlos Aviles, Einar, Hasse, Lars Ailo :
    Machine Learning Based Crackle Detection
    2017
  • Johan, Juan Carlos Aviles, Morten, Hasse, Lars Ailo :
    Detection of Wheezes and Breathing Phases Using Deep Convolutional Neural Networks
    2017
  • Bjørn, Nina, Morten, maria wulff, Hedinn, Fredrik Høisæther et al.:
    Teaching Electronics and Programming in Norwegian Schools Using the Air: Bit Sensor Kit
    2019
  • Bjørn, Nina, maria wulff, Joachim Sveia, Morten, Hedinn et al.:
    Low-Cost Programmable Air Quality Sensor Kits in Science Education
    2018
  • Morten :
    Lung Sounds
    2016

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