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Informatihka instituhtta morten.gronnesby@uit.no +4777645681 Tromsø REALF A 218D

Grønnesby, Morten



  • Nikita Shvetsov, Morten Grønnesby, Edvard Pedersen, Kajsa Møllersen, Lill-Tove Rasmussen Busund, Ruth Schwienbacher et al.:
    A Pragmatic Machine Learning Approach to Quantify Tumor-Infiltrating Lymphocytes in Whole Slide Images
    Cancers 2022 DOI
  • Bjørn Fjukstad, Nina Angelvik, Morten Grønnesby, maria wulff Hauglann, Hedinn Gunhildrud, Fredrik Høisæther Rasch et al.:
    Teaching Electronics and Programming in Norwegian Schools Using the air:bit Sensor Kit
    Association for Computing Machinery (ACM) 2019 DOI
  • Bjørn Fjukstad, Nina Angelvik, maria wulff Hauglann, Joachim Sveia Knutsen, Morten Grønnesby, Hedinn Gunhildrud et al.:
    Low-Cost Programmable Air Quality Sensor Kits in Science Education
    ACM Publications 2018 DOI
  • Johan Ravn, Juan Carlos Aviles Solis, Morten Grønnesby, Hasse Melbye, Lars Ailo Bongo :
    Detection of Wheezes and Breathing Phases Using Deep Convolutional Neural Networks
    2017
  • Morten Grønnesby, Juan Carlos Aviles Solis, Einar Holsbø, Hasse Melbye, Lars Ailo Bongo :
    Machine Learning Based Crackle Detection
    2017
  • Bjørn Fjukstad, Nina Angelvik, Morten Grønnesby, maria wulff Hauglann, Hedinn Gunhildrud, Fredrik Høisæther Rasch et al.:
    Teaching Electronics and Programming in Norwegian Schools Using the Air: Bit Sensor Kit
    2019
  • Bjørn Fjukstad, Nina Angelvik, maria wulff Hauglann, Joachim Sveia Knutsen, Morten Grønnesby, Hedinn Gunhildrud et al.:
    Low-Cost Programmable Air Quality Sensor Kits in Science Education
    2018
  • Morten Grønnesby :
    Lung Sounds
    2016

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    REALF A 218D

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