Lea Marie Pehrson

Lea Marie Pehrson

Guest researcher


Publication year:
  1. 2023
  2. Published

    Performance and Agreement When Annotating Chest X-ray Text Reports - A Preliminary Step in the Development of a Deep Learning-Based Prioritization and Detection System

    Li, D., Pehrson, Lea Marie, Bonnevie, R., Fraccaro, M., Thrane, J., Tøttrup, L., Lauridsen, C. A., Balaganeshan, Sedrah Butt, Jankovic, J., Andersen, T. T., Mayar, A., Hansen, Kristoffer Lindskov, Carlsen, Jonathan Frederik, Darkner, Sune & Nielsen, Michael Bachmann, 2023, In: Diagnostics. 13, 6, 24 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. 2022
  4. Published

    Inter- and Intra-Observer Agreement When Using a Diagnostic Labeling Scheme for Annotating Findings on Chest X-rays—An Early Step in the Development of a Deep Learning-Based Decision Support System

    Li, D., Pehrson, Lea Marie, Tøttrup, L., Fraccaro, M., Bonnevie, R., Thrane, J., Sørensen, P. J., Rykkje, A., Andersen, T. T., Steglich-Arnholm, H., Stærk, D. M. R., Borgwardt, L., Hansen, Kristoffer Lindskov, Darkner, Sune, Carlsen, Jonathan Frederik & Nielsen, Michael Bachmann, 2022, In: Diagnostics. 12, 12, 3112.

    Research output: Contribution to journalJournal articleResearchpeer-review

  5. 2021
  6. Published

    The added effect of artificial intelligence on physicians’ performance in detecting thoracic pathologies on CT and chest X-ray: A systematic review

    Li, D., Pehrson, Lea Marie, Lauridsen, C. A., Tøttrup, L., Fraccaro, M., Elliott, Desmond, Zajac, Hubert Dariusz, Darkner, Sune, Carlsen, Jonathan Frederik & Nielsen, Michael Bachmann, 2021, In: Diagnostics. 11, 12, 17 p., 2206.

    Research output: Contribution to journalReviewResearchpeer-review

ID: 284194243