Tine Alkjær

Tine Alkjær

Associate Professor

Member of:


    1. 2023
    2. Published

      Prediction of Knee Joint Compartmental Loading Maxima Utilizing Simple Subject Characteristics and Neural Networks

      Lavikainen, J., Stenroth, Lauri, Alkjær, Tine, Karjalainen, P. A., Korhonen, R. K. & Mononen, M. E., 19 Jun 2023, In: Annals of Biomedical Engineering. 51, p. 2479–2489

      Research output: Contribution to journalJournal articleResearchpeer-review

    3. Published

      Evaluation of hop performance in children with anterior cruciate ligament reconstruction using healthy reference data: A cross-sectional study

      Alkjær, Tine, Zebis, Mette Kreutzfeldt, Herzog, R. B., Lundgaard-Nielsen, M., Skovgaard, Lene Theil, Krogsgaard, Michael R. & Warming, S., 2023, In: The Knee. 42, p. 19-27 9 p.

      Research output: Contribution to journalJournal articleResearchpeer-review

    4. Published

      Non-invasive methods to assess muscle function in dogs: A scoping review

      Dahl, Kathrine Højte, Zebis, Mette Kreutzfeldt, Vitger, Anne Désiré, Miles, James Edward & Alkjær, Tine, 2023, In: Frontiers in Veterinary Science. 10, p. 1-10 1116854.

      Research output: Contribution to journalReviewResearchpeer-review

    5. Published

      Sensitivity of the simulated knee joint mechanics to the selected human and bovine fibril-reinforced poroelastic material properties

      Jahangir, S., Esrafilian, A., Ebrahimi, M., Stenroth, Lauri, Alkjær, Tine, Henriksen, Marius, Englund, M., Mononen, M. E., Korhonen, R. K. & Tanska, P., 2023, In: Journal of Biomechanics. 160, 10 p., 111800.

      Research output: Contribution to journalJournal articleResearchpeer-review

    ID: 11415