Dag Johansen
Professor
Andreas Kjæreng Winther,
Sigurd Pedersen,
Dag Johansen,
Svein Arne Pettersen
:
The influence of age on the match-to-match variability of physical performance in women's football
Frontiers in Physiology 2023 DOI
Dag Johansen,
Susann Dahl Pettersen
:
Quantifying athlete wellness: Investigating the predictive potential of subjective wellness reports through a player monitoring system
Siarhei Kulakou,
Nourhan Ragab,
Cise Midoglu,
Matthias Boeker,
Dag Johansen,
Michael Riegler
m.fl.:
Exploration of Different Time Series Models for Soccer Athlete Performance Prediction †
Andreas Kjæreng Winther,
Ivan Andre Matias Do Vale Baptista,
Sigurd Pedersen,
Morten Brendsgaard Randers Thomsen,
Peter Krustrup,
Dag Johansen
m.fl.:
Position specific physical performance and running intensity fluctuations in elite women's football
Enrico Tedeschi,
Tor-Arne Schmidt Nordmo,
Dag Johansen,
Håvard D. Johansen
:
On Optimizing Transaction Fees in Bitcoin using AI: Investigation on Miners Inclusion Pattern
Aakash Sharma,
Thomas Bye Nilsen,
Sivert Johansen,
Dag Johansen,
Håvard D. Johansen
:
Designing a Service for Compliant Sharing of Sensitive Research Data
Andreas Husa,
Cise Midoglu,
Malek Hammou,
Steven Hicks,
Dag Johansen,
Tomas Kupka
m.fl.:
Automatic thumbnail selection for soccer videos using machine learning
Joakim Aalstad Alslie,
Aril Bernhard Ovesen,
Tor-Arne Schmidt Nordmo,
Håvard D. Johansen,
Pål Halvorsen,
Michael Riegler
m.fl.:
Áika: A Distributed Edge System for AI Inference
Tor-Arne Schmidt Nordmo,
Aril Bernhard Ovesen,
Bjørn Aslak Juliussen,
Steven Hicks,
Vajira L B Thambawita,
Håvard D. Johansen
m.fl.:
Njord: a fishing trawler dataset
Tor-Arne Schmidt Nordmo,
Ove Kvalsvik,
Svein Ove Kvalsund,
Birte Hansen,
Pål Halvorsen,
Steven Hicks
m.fl.:
FishAI: Sustainable Commercial Fishing Challenge
Tor-Arne Schmidt Nordmo,
Martine Espeseth,
Bjørn Aslak Juliussen,
Michael Alexander Riegler,
Dag Johansen
:
Detection of Commercial Fishing-related Slipping Events using Multimodal Data
IEEE (Institute of Electrical and Electronics Engineers) 2022 DOI
Ivan Andre Matias Do Vale Baptista,
Andreas Kjæreng Winther,
Dag Johansen,
Morten Bredsgaard Randers Thomsen,
Sigurd Pedersen,
Svein Arne Pettersen
:
The variability of physical match demands in elite women's football
Nikhil Kumar Tomar,
Debesh Jha,
Michael Riegler,
Håvard D. Johansen,
Dag Johansen,
Jens Rittscher
m.fl.:
FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation
Lars Brenna,
Isak Sunde Singh,
Håvard D. Johansen,
Dag Johansen
:
TFHE-rs: A library for safe and secure remote computing using fully homomorphic encryption and trusted execution environments
Debesh Jha,
Ashish Rauniyar,
Håvard D. Johansen,
Dag Johansen,
Michael Alexander Riegler,
Pål Halvorsen
m.fl.:
Video Analytics in Elite Soccer: A Distributed Computing Perspective
Joakim Valand,
Haris Kadragic,
Steven Hicks,
Vajira L B Thambawita,
Cise Midoglu,
Tomas Kupka
m.fl.:
AI-Based Video Clipping of Soccer Events
Machine Learning and Knowledge Extraction 2021 DOI
Olav Andre Nergård Rongved,
Markus Stige,
Steven Hicks,
Vajira L B Thambawita,
Cise Midoglu,
Evi Zouganeli
m.fl.:
Automated Event Detection and Classification in Soccer: The Potential of Using Multiple Modalities
Machine Learning and Knowledge Extraction 2021 DOI
Vajira L B Thambawita,
Steven Hicks,
Jonas L Isaksen,
Mette H. Stensen,
Trine B. Haugen,
Jørgen K Kanters
m.fl.:
DeepSynthBody: the beginning of the end for data deficiency in medicine
IEEE conference proceedings 2021 DOI
Andreas Kjæreng Winther,
Ivan Andre Matias Do Vale Baptista,
Sigurd Pedersen,
Morten Brendsgaard Randers Thomsen,
Dag Johansen,
Peter Krustrup
m.fl.:
Position specific physical performance and running intensity fluctuations in elite women’s football
Sigurd Pedersen,
Boye Welde,
Edvard Hamnvik Sagelv,
Kim Arne Heitmann,
Morten Bredsgaard Randers Thomsen,
Dag Johansen
m.fl.:
Associations between maximal strength, sprint, and jump height and match physical performance in high‐level female football players
Tor-Arne Schmidt Nordmo,
Aril Bernhard Ovesen,
Håvard D. Johansen,
Michael Alexander Riegler,
Pål Halvorsen,
Dag Johansen
:
Dutkat: A Multimedia System for Catching Illegal Catchers in a Privacy-Preserving Manner
ACM Digital Library 2021 DOI
Aril Bernhard Ovesen,
Tor-Arne Schmidt Nordmo,
Håvard D. Johansen,
Michael Alexander Riegler,
Pål Halvorsen,
Dag Johansen
:
File system support for privacy-preserving analysis and forensics in low-bandwidth edge environments
Debesh Jha,
Sharib Ali,
Nikhil Kumar Tomar,
Håvard D. Johansen,
Dag Johansen,
Jens Rittscher
m.fl.:
Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning
Olav Andre Nergård Rongved,
Steven Hicks,
Vajira L B Thambawita,
Håkon Kvale Stensland,
Evi Zouganeli,
Dag Johansen
m.fl.:
Using 3D Convolutional Neural Networks for Real-time Detection of Soccer Events
Debesh Jha,
Pia Smedsrud,
Dag Johansen,
Thomas de Lange,
Håvard D. Johansen,
Pål Halvorsen
m.fl.:
A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation
Aakash Sharma,
Thomas Bye Nilsen,
Katja Pauline Czerwinska,
Daria Onitiu,
Lars Brenna,
Dag Johansen
m.fl.:
Up-to-the-Minute Privacy Policies via Gossips in Participatory Epidemiological Studies
Debesh Jha,
Sharib Ali,
Steven Hicks,
Vajira L B Thambawita,
Hanna Borgli,
Pia Smedsrud
m.fl.:
A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging
Pia Smedsrud,
Vajira L B Thambawita,
Steven Hicks,
Henrik Gjestang,
Oda Olsen Nedrejord,
Espen Næss
m.fl.:
Kvasir-Capsule, a video capsule endoscopy dataset
Joakim Valand,
Haris Kadragic,
Steven Hicks,
Vajira L B Thambawita,
Cise Midoglu,
Tomas Kupka
m.fl.:
Automated Clipping of Soccer Events using Machine Learning
IEEE (Institute of Electrical and Electronics Engineers) 2021 DOI
Debesh Jha,
Anis Yazidi,
Michael Alexander Riegler,
Dag Johansen,
Håvard D. Johansen,
Pål Halvorsen
:
LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification
Springer Nature 2021 DOI
Debesh Jha,
Sharib Ali,
Krister Emanuelsen,
Steven Hicks,
Vajira L B Thambawita,
Enrique Garcia-Ceja
m.fl.:
Kvasir-Instrument: Diagnostic and Therapeutic Tool Segmentation Dataset in Gastrointestinal Endoscopy
Springer 2021 DOI
Debesh Jha,
Sharib Ali,
Nikhil Kumar Tomar,
Michael Alexander Riegler,
Dag Johansen,
Håvard D. Johansen
m.fl.:
Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy
IEEE (Institute of Electrical and Electronics Engineers) 2021 DOI
Nikhil Kumar Tomar,
Debesh Jha,
Sharib Ali,
Håvard D. Johansen,
Dag Johansen,
Michael Riegler
m.fl.:
DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation
Springer Nature 2021 DOI
Abhishek Srivastava,
Sukalpa Chanda,
Debesh Jha,
Michael Riegler,
Pål Halvorsen,
Dag Johansen
m.fl.:
PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation
IEEE (Institute of Electrical and Electronics Engineers) 2021 DOI
Aakash Sharma,
Katja P Czerwinska,
Dag Johansen,
Håvard Dagenborg
:
Capturing Nutrition Data for Sports: Challenges and Ethical Issues
2023 ARKIV
Michael Alexander Riegler,
Vajira Thambawita,
Thu Nguyen,
Steven Alexander Hicks,
Svein Arne Pettersen,
Dag Johansen
m.fl.:
ScopeSense: An 8.5-month sport, nutrition, and lifestyle lifelogging dataset
OSF Preprints 2023 DOI
Dag Johansen,
Bjørn Aslak Juliussen,
Tor-Arne Schmidt Nordmo,
Aril Bernhard Ovesen,
Pål Halvorsen,
Håvard D. Johansen
m.fl.:
Sustainable commercial fishing: Digital inspectors to the rescue
Arctic Frontiers : Abstracts 2022
Michael Alexander Riegler,
Dag Johansen,
Bjørn Aslak Juliussen,
Tor-Arne Schmidt Nordmo,
Aril Bernhard Ovesen,
Pål Halvorsen
m.fl.:
Njord: An out-in-the-wild real world fish vessel catch analysis dataset
Arctic Frontiers : Abstracts 2022
Håvard D. Johansen,
Dag Johansen,
Bjørn Aslak Juliussen,
Tor-Arne Schmidt Nordmo,
Aril Bernhard Ovesen,
Pål Halvorsen
m.fl.:
Sustainable commercial fishing: Digital inspectors to the rescue
2022
Håvard D. Johansen,
Dag Johansen,
Areeg Samir Ahmed Elgazazz,
Thomas Bye Nilsen,
Aakash Sharma
:
Datainnsamling med personvern og datasikkerhet
2022
Michael Alexander Riegler,
Dag Johansen,
Bjørn Aslak Juliussen,
Tor-Arne Schmidt Nordmo,
Aril Bernhard Ovesen,
Pål Halvorsen
m.fl.:
Njord: An out-in-the-wild real world fish vessel catch analysis dataset
2022
Tor-Arne Schmidt Nordmo,
Aril Bernhard Ovesen,
Bjørn Aslak Juliussen,
Steven A. Hicks,
Vajira Thambawita,
Håvard D. Johansen
m.fl.:
Njord: A Fishing Trawler Dataset
2022
Tor-Arne Schmidt Nordmo,
Aril Bernhard Ovesen,
Bjørn Aslak Juliussen,
Steven A. Hicks,
Vajira Thambawita,
Håvard D. Johansen
m.fl.:
Njord: A Fishing Trawler Dataset
2022
Tor-Arne Schmidt Nordmo,
Ove Kvalsvik,
Svein Ove Kvalsund,
Birte Hansen,
Pål Halvorsen,
Steven Hicks
m.fl.:
FishAI: Sustainable Commercial Fishing Challenge
Nordic Machine Intelligence (NMI) 2022 DOI
Dag Johansen,
Håvard D. Johansen,
Michael Riegler
:
Muligheter og skranker for bruk av teknologi og kunstig intelligens ved forebygging av fiskerikriminalitet
2022
Nikhil Kumar Tomar,
Debesh Jha,
Sharib Ali,
Håvard D. Johansen,
Dag Johansen,
Michael Riegler
m.fl.:
DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation
2021
Debesh Jha,
Sharib Ali,
Nikhil Kumar Tomar,
Håvard D. Johansen,
Dag Johansen,
Michael Riegler
m.fl.:
Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy
2021 FULLTEKST
Abhishek Srivastava,
Sukalpa Chanda,
Debesh Jha,
Michael Riegler,
Pål Halvorsen,
Dag Johansen
m.fl.:
PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation
2021
Aakash Sharma,
Thomas Bye Nilsen,
Lars Brenna,
Dag Johansen,
Håvard D. Johansen
:
Accountable Human Subject Research Data Processing using Lohpi
2021 ARKIV
Joakim Valand,
Haris Kadragic,
Steven Hicks,
Vajira L B Thambawita,
Cise Midoglu,
Tomas Kupka
m.fl.:
Automated Clipping of Soccer Events using Machine Learning
2021
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Forskningsinteresser
Johansen leder det tverrfaglige Corpore Sano senteret som driver grunnforskning i spenningsfeltet mellom grunnleggende informatikk, idrettsvitenskap, medisin, helseteknologi og ernæringsvitenskap. Han er spesielt interessert i grunnleggende programvareløsninger som muliggjør sikker og feilfri databehandling i heterogene distribuerte systemer som inkluderer fra lette "Internet of Things" enheter og mobiltelefoner, til bakenforliggende stor-skala skyløsninger.
