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Computer Science

D-Index
33
Citations
5923
World Ranking
12512
National Ranking
43

Overview

Dag Johansen is affiliated with the University of Tromsø - The Arctic University of Norway. Their research spans the interdisciplinary fields of computer science and medicine, with a significant focus on artificial intelligence and its applications in biomedical contexts. Their publication record includes work in core areas such as colorectal cancer screening, sports performance and training, radiomics, and medical imaging.

Their recent contributions include a variety of studies published in notable scientific venues. Among these are:

  • HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy (2020, Scientific Data)
  • Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning (2021, IEEE Access)
  • Kvasir-Capsule, a video capsule endoscopy dataset (2021, Scientific Data)
  • FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation (2022, IEEE Transactions on Neural Networks and Learning Systems)
  • An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning Applied to Gastrointestinal Tract Abnormality Classification (2020, ACM Transactions on Computing for Healthcare)

Dag Johansen frequently collaborates with other researchers, with common co-authors including:

  • Pål Halvorsen
  • Michael A. Riegler
  • Håvard D. Johansen
  • Debesh Jha
  • Steven A. Hicks

Their research is regularly published in several well-known venues. The most frequent among these are:

  • arXiv (Cornell University)
  • IEEE Access
  • Scientific Data
  • PLoS ONE
  • Machine Learning and Knowledge Extraction

Dag Johansen's work is concentrated in the broader domains of Computer Science and Medicine, with specific expertise in subfields including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Orthopedics and Sports Medicine
  • Oncology
  • Radiology, Nuclear Medicine and Imaging

The primary topics addressed in their work cover areas such as:

  • Colorectal Cancer Screening and Detection
  • Sports Performance and Training
  • Radiomics and Machine Learning in Medical Imaging
  • Sports injuries and prevention
  • AI in cancer detection
  • Video Analysis and Summarization
  • Human Pose and Action Recognition

Best Publications

  • ResUNet++: An Advanced Architecture for Medical Image Segmentation

    Debesh Jha;Pia H. Smedsrud;Michael A. Riegler;Dag Johansen

  • Kvasir-SEG: A Segmented Polyp Dataset

    Debesh Jha;Pia H. Smedsrud;Michael A. Riegler;Pål Halvorsen

  • DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation

    Debesh Jha;Michael A. Riegler;Dag Johansen;Pal Halvorsen

  • KVASIR: A Multi-Class Image Dataset for Computer Aided Gastrointestinal Disease Detection

    Konstantin Pogorelov;Kristin Ranheim Randel;Carsten Griwodz;Sigrun Losada Eskeland

  • HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy.

    Hanna Borgli;Vajira Thambawita;Pia H Smedsrud;Steven Hicks

  • Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning

    Debesh Jha;Sharib Ali;Nikhil Kumar Tomar;Havard D. Johansen

  • Operating system support for mobile agents

    D. Johansen;R. van Renesse;F.B. Schneider

  • A Comprehensive Study on Colorectal Polyp Segmentation With ResUNet++, Conditional Random Field and Test-Time Augmentation

    Debesh Jha;Pia H. Smedsrud;Dag Johansen;Thomas de Lange

  • Kvasir-Capsule, a video capsule endoscopy dataset.

    Pia H Smedsrud;Vajira Thambawita;Steven A Hicks;Henrik Gjestang

  • An Introduction to the TACOMA Distributed System

    Dag Johansen;Robbert van Renesse;Fred B. Schneider

  • FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation.

    Nikhil Kumar Tomar;Debesh Jha;Michael A. Riegler;Håvard D. Johansen

  • Mobile Agent Applicability

    Dag Johansen

  • An introduction to the TACOMA distributed system. Version 1.0

    Robbert van Renesse;Dag Johansen;Fred B. Schneider

  • NAP: practical fault-tolerance for itinerant computations

    D. Johansen;K. Marzullo;F.B. Schneider;K. Jacobsen

  • Soccer video and player position dataset

    Svein Arne Pettersen;Dag Johansen;Håvard Johansen;Vegard Berg-Johansen

  • DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation

    Nikhil Kumar Tomar;Debesh Jha;Sharib Ali;Håvard D. Johansen

  • Distributed event stream processing with non-deterministic finite automata

    Lars Brenna;Johannes Gehrke;Mingsheng Hong;Dag Johansen

  • ResUNet++: An Advanced Architecture for Medical Image Segmentation

    Debesh Jha;Pia H. Smedsrud;Michael A. Riegler;Dag Johansen

  • Bagadus: an integrated system for arena sports analytics: a soccer case study

    Pål Halvorsen;Simen Sægrov;Asgeir Mortensen;David K. C. Kristensen

  • A TACOMA retrospective

    Dag Johansen;Kåre J. Lauvset;Robbert van Renesse;Fred B. Schneider

  • Nerthus: A Bowel Preparation Quality Video Dataset

    Konstantin Pogorelov;Kristin Ranheim Randel;Thomas de Lange;Sigrun Losada Eskeland

  • Efficient disease detection in gastrointestinal videos --- global features versus neural networks

    Konstantin Pogorelov;Michael Riegler;Sigrun Losada Eskeland;Thomas Lange

  • Kvasir-Instrument: Diagnostic and Therapeutic Tool Segmentation Dataset in Gastrointestinal Endoscopy.

    Debesh Jha;Sharib Ali;Krister Emanuelsen;Steven Alexander Hicks

  • Bagadus: An integrated real-time system for soccer analytics

    Håkon Kvale Stensland;Vamsidhar Reddy Gaddam;Marius Tennøe;Espen Helgedagsrud

  • DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation

    Debesh Jha;Michael A. Riegler;Dag Johansen;Pål Halvorsen

  • Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy

    Debesh Jha;Sharib Ali;Krister Emanuelsen;Steven A. Hicks

Frequent Co-Authors

Pål Halvorsen
Pål Halvorsen OsloMet – Oslo Metropolitan University
Michael Riegler
Michael Riegler OsloMet – Oslo Metropolitan University
Carsten Griwodz
Carsten Griwodz University of Oslo
Robbert van Renesse
Robbert van Renesse Cornell University
Cathal Gurrin
Cathal Gurrin Dublin City University
Fred B. Schneider
Fred B. Schneider Cornell University
Keith Marzullo
Keith Marzullo University of Maryland, College Park
Concetto Spampinato
Concetto Spampinato University of Catania
Umapada Pal
Umapada Pal Indian Statistical Institute
Jens Rittscher
Jens Rittscher University of Oxford

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