Bilde av Johansen, Dag
Bilde av Johansen, Dag
Institutt for informatikk dag.johansen@uit.no +4777644047 94525062 Tromsø REALF A 251

Dag Johansen


Professor


  • Aakash Sharma, Thomas Bye Nilsen, Sivert Johansen, Dag Johansen, Håvard D. Johansen :
    Designing a Service for Compliant Sharing of Sensitive Research Data
    Lecture Notes in Computer Science (LNCS) 2022 ARKIV / DOI
  • Enrico Tedeschi, Tor-Arne Schmidt Nordmo, Dag Johansen, Håvard D. Johansen :
    On Optimizing Transaction Fees in Bitcoin using AI: Investigation on Miners Inclusion Pattern
    ACM Transactions on Internet Technology 2022 ARKIV / DOI
  • Enrico Tedeschi, Tor-Arne Schmidt Nordmo, Dag Johansen, Håvard D. Johansen :
    On Optimizing Transaction Fees in Bitcoin using AI: Investigation on Miners Inclusion Pattern
    ACM Transactions on Internet Technology 2022 ARKIV / 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
    Science and medicine in football 2022 ARKIV / DOI
  • Debesh Jha, Michael Riegler, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Pål Halvorsen m.fl.:
    FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation
    IEEE Transactions on Neural Networks and Learning Systems 2022 DOI
  • 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
    Scandinavian Journal of Medicine & Science in Sports 2022 DOI
  • Sigurd Pedersen, Boye Welde, Edvard Hamnvik Sagelv, Kim Arne Heitmann, Morten Bredsgaard Randers, Dag Johansen m.fl.:
    Associations between maximal strength, sprint, and jump height and match physical performance in high-level female football players
    Scandinavian Journal of Medicine & Science in Sports 2022 DOI
  • 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
    Array 2022 DOI
  • 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
    Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop 2022 ARKIV / DOI
  • 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
    Big Data and Cognitive Computing 2022 ARKIV / DOI
  • 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
    ACM Publications 2022 DOI
  • Tor-Arne Schmidt Nordmo, Ove Kvalsvik, Svein Ove Kvalsund, Birte Hansen, Pål Halvorsen, Steven Hicks m.fl.:
    Fish AI: Sustainable Commercial Fishing
    Nordic Machine Intelligence (NMI) 2022 ARKIV / 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
    Scandinavian Journal of Medicine & Science in Sports 2021 ARKIV / 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
  • 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
  • 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
    Scandinavian Journal of Medicine & Science in Sports 2021 ARKIV / DOI
  • 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
    Information 2021 ARKIV / DOI
  • 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
    IEEE Access 2021 ARKIV / DOI
  • 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
    International Journal of Semantic Computing (IJSC) 2021 ARKIV / DOI
  • 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
    IEEE journal of biomedical and health informatics 2021 ARKIV / DOI
  • 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
    Frontiers in Big Data 13. mai 2021 ARKIV / DOI
  • 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
    Medical Image Analysis 2021 ARKIV / DOI
  • Pia Smedsrud, Vajira L B Thambawita, Steven Hicks, Henrik Gjestang, Oda Olsen Nedrejord, Espen Næss m.fl.:
    Kvasir-Capsule, a video capsule endoscopy dataset
    Scientific Data 2021 ARKIV / DOI
  • 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
  • Abhishek Srivastava, Debesh Jha, Sukalpa Chanda, Umapada Pal, Håvard D. Johansen, Dag Johansen m.fl.:
    MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation
    IEEE journal of biomedical and health informatics 2021 ARKIV / DOI
  • Sigurd Pedersen, Dag Johansen, Andrea Casolo, Morten Brendsgaard Randers Thomsen, Svein Arne Pettersen, Edvard Hamnvik Sagelv m.fl.:
    Maximal Strength, Sprint, and Jump Performance in High-Level Female Football Players Are Maintained With a Customized Training Program During the COVID-19 Lockdown
    Frontiers in Physiology 26. februar 2021 ARKIV / DOI
  • Debesh Jha, Steven Hicks, Krister Emanuelsen, Håvard D. Johansen, Dag Johansen, Thomas de Lange m.fl.:
    Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation
    2020
  • Vajira Lasantha Bandara Thambawita, Steven Hicks, Hanna Borglia, Håkon Kvale Stensland, Debesh Jha, Martin Kristoffer Svensen m.fl.:
    PMData: a sports logging dataset
    Association for Computing Machinery (ACM) 2020 ARKIV / DOI
  • Håvard D. Johansen, Dag Johansen, Tomas Kupka, Michael Riegler, Pål Halvorsen :
    Scalable Infrastructure for Efficient Real-Time Sports Analytics
    Association for Computing Machinery (ACM) 2020 DOI
  • 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
  • Dag Johansen, Håvard D. Johansen, Michael Riegler :
    Muligheter og skranker for bruk av teknologi og kunstig intelligens ved forebygging av fiskerikriminalitet
    2022
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Håvard D. Johansen, Dag Johansen, Tomas Kupka, Michael Riegler, Pål Halvorsen :
    Scalable Infrastructure for Efficient Real-Time Sports Analytics
    2020

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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.



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