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
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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