World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
12597
World Ranking
5273
National Ranking
11

Overview

Pål Halvorsen is affiliated with OsloMet - Oslo Metropolitan University in Norway. Their research is situated at the intersection of computer science and medicine, with a particular emphasis on applications of artificial intelligence and imaging techniques in medical contexts.

The scientist's primary fields of study include:

  • Computer Science
  • Medicine

Within these fields, their work extensively covers the following subfields:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Oncology
  • Pulmonary and Respiratory Medicine

Halvorsen's research topics are reflective of their interdisciplinary orientation and include:

  • Colorectal Cancer Screening and Detection
  • Radiomics and Machine Learning in Medical Imaging
  • AI in cancer detection
  • Video Analysis and Summarization
  • Anomaly Detection Techniques and Applications
  • Human Pose and Action Recognition
  • Image Retrieval and Classification Techniques

Their recent publications illustrate focused attention on medical imaging datasets, evaluation metrics, and automated detection techniques using deep learning. Examples of these recent papers are:

  • "On evaluation metrics for medical applications of artificial intelligence," 2022, Scientific Reports
  • "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
  • "A Comprehensive Study on Colorectal Polyp Segmentation With ResUNet++, Conditional Random Field and Test-Time Augmentation," 2021, IEEE Journal of Biomedical and Health Informatics
  • "Kvasir-Capsule, a video capsule endoscopy dataset," 2021, Scientific Data

Frequent collaborators within their body of work include:

  • Michael A. Riegler
  • Steven A. Hicks
  • Vajira Thambawita
  • Debesh Jha
  • Dag Johansen

The scientist's work has been regularly published in distinct venues known for research in scientific data sharing and biomedical imaging, such as:

  • arXiv (Cornell University)
  • IEEE Access
  • Scientific Reports
  • Scientific Data
  • Zenodo (CERN European Organization for Nuclear Research)

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

  • Commute path bandwidth traces from 3G networks: analysis and applications

    Haakon Riiser;Paul Vigmostad;Carsten Griwodz;Pål Halvorsen

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

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

  • 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

  • MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation.

    Abhishek Srivastava;Debesh Jha;Sukalpa Chanda;Umapada Pal

  • Kvasir-Capsule, a video capsule endoscopy dataset.

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

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

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

  • Video streaming using a location-based bandwidth-lookup service for bitrate planning

    Haakon Riiser;Tore Endestad;Paul Vigmostad;Carsten Griwodz

  • Tiling in Interactive Panoramic Video: Approaches and Evaluation

    Vamsidhar Reddy Gaddam;Michael Riegler;Ragnhild Eg;Carsten Griwodz

  • Flicker effects in adaptive video streaming to handheld devices

    Pengpeng Ni;Ragnhild Eg;Alexander Eichhorn;Carsten Griwodz

  • Soccer video and player position dataset

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

  • Impact of Image Resolution on Deep Learning Performance in Endoscopy Image Classification: An Experimental Study Using a Large Dataset of Endoscopic Images

    Vajira Thambawita;Inga Strümke;Steven A. Hicks;Pål Halvorsen

  • Cache-Centric Video Recommendation: An Approach to Improve the Efficiency of YouTube Caches

    Dilip Kumar Krishnappa;Michael Zink;Carsten Griwodz;Pål Halvorsen

  • DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation

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

  • SinGAN-Seg: Synthetic Training Data Generation for Medical Image Segmentation

    Vajira Thambawita;Pegah Salehi;Sajad Amouei Sheshkal;Steven Alexander Hicks

  • ChaLearn Joint Contest on Multimedia Challenges Beyond Visual Analysis: An overview

    Hugo Jair Escalante;Victor Ponce-Lopez;Jun Wan;Michael A. Riegler

  • Improving the performance of quality-adaptive video streaming over multiple heterogeneous access networks

    Kristian Evensen;Dominik Kaspar;Carsten Griwodz;Pål Halvorsen

  • On evaluation metrics for medical applications of artificial intelligence

    Steven A. Hicks;Inga Strümke;Vajira Thambawita;Malek Hammou

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

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

Frequent Co-Authors

Michael Riegler
Michael Riegler OsloMet – Oslo Metropolitan University
Carsten Griwodz
Carsten Griwodz University of Oslo
Dag Johansen
Dag Johansen University of Tromsø - The Arctic University of Norway
Cathal Gurrin
Cathal Gurrin Dublin City University
Concetto Spampinato
Concetto Spampinato University of Catania
Niels Grarup
Niels Grarup University of Copenhagen
Martin Potthast
Martin Potthast Leipzig University
Martha Larson
Martha Larson Radboud University
Jens Rittscher
Jens Rittscher University of Oxford
Ole Bernt Fasmer
Ole Bernt Fasmer University of Bergen

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