Erik Bjørnager Dam

Erik Bjørnager Dam

Professor

Member of:

    ORCID: 0000-0002-8888-2524

    Publication year:
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    21 - 30 out of 60Page size: 10
    1. 2015
    2. Published

      Automatic segmentation of high-and low-field knee MRIs using knee image quantification with data from the osteoarthritis initiative

      Dam, Erik Bjørnager, Lillholm, Martin, Marques, J. & Nielsen, Mads, 2015, In: SPIE Journal of Medical Imaging. 2, 2, 13 p., 024001.

      Research output: Contribution to journal › Journal article › Research › peer-review

    3. 2016
    4. Published

      Deformation-based atrophy computation by surface propagation and its application to Alzheimer’s disease

      Pai, A. S. U., Sporring, Jon, Darkner, Sune, Dam, Erik Bjørnager, Lillholm, Martin, Jørgensen, D., Oh, J., Chen, G., Suhy, J., Sørensen, L. & Nielsen, Mads, 2016, In: SPIE Journal of Medical Imaging. 3, 1, 11 p., 014005.

      Research output: Contribution to journal › Journal article › Research › peer-review

    5. 2017
    6. Published

      Characterization of errors in deep learning-based brain MRI segmentation

      Pai, A. S. U., Teng, Y., Blair, J. P. M., Kallenberg, M. G. J., Dam, Erik Bjørnager, Sommer, Stefan Horst, Igel, Christian & Nielsen, Mads, 2017, Deep learning for medical image analysis. Zhou, S. K., Greenspan, H. & Shen, D. (eds.). Academic Press, p. 223–242 20 p.

      Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

    7. Published

      Simple Methods for Scanner Drift Normalization Validated for Automatic Segmentation of Knee Magnetic Resonance Imaging: with data from the Osteoarthritis Initiative

      Dam, Erik Bjørnager, 2017, In: arXiv. 15 p.

      Research output: Contribution to journal › Journal article › Research

    8. Prediction of medial tibiofemoral compartment joint space loss progression using volumetric cartilage measurements: data from the FNIH OA biomarkers consortium

      Hafezi-Nejad, N., Guermazi, A., Roemer, F. W., Hunter, D., Dam, Erik Bjørnager, Zikria, B., Kwoh, C. K. & Demehri, S., Feb 2017, In: European Radiology. 27, 2, p. 464-473 10 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    9. 2018
    10. Published

      Cartilage cavity: an MRI marker of cartilage lesions in knee OA with Data from CCBR, OAI, and PROOF

      Dam, Erik Bjørnager, Runhaar, J., Bierma-Zienstra, S. & Karsdal, M., 2018, In: Magnetic Resonance in Medicine. 80, 3, p. 1219-1232

      Research output: Contribution to journal › Journal article › Research › peer-review

    11. Published

      Knee Segmentation by Multiplanar Deep Learning Network – with data from OAI

      Perslev, Mathias, Pai, A. S. U., Igel, Christian & Dam, Erik Bjørnager, 2018. 1 p.

      Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

    12. Published

      Gender Differences in Knee Joint Congruity Quantified from MRI: A Validation Study with Data from Center for Clinical and Basic Research and Osteoarthritis Initiative

      Tummala, S., Schiphof, D., Byrjalsen, I. & Dam, Erik Bjørnager, Jan 2018, In: Cartilage. 9, 1, p. 38-45 8 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    13. 2019
    14. Published

      A multispectral camera system for automated minirhizotron image analysis

      Svane, Simon Fiil, Dam, Erik Bjørnager, Carstensen, J. M. & Thorup-Kristensen, Kristian, 2019, In: Plant and Soil. 441, 1-2, p. 657-672

      Research output: Contribution to journal › Journal article › Research › peer-review

    15. Published

      Muscle fibre morphology and microarchitecture in cerebral palsy patients obtained by 3D synchrotron X-ray computed tomography

      Borg, L., Sporring, Jon, Dam, Erik Bjørnager, Dahl, V. A., Dyrby, T. B., Feidenhans'l, Robert Krarup, Dahl, A. B. & Pingel, Jessica, 2019, In: Computers in Biology and Medicine. 107, p. 265-269 5 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

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