Michael Bachmann Nielsen

Michael Bachmann Nielsen

Clinical Professor

Member of:

  • Radiology

ORCID: 0000-0002-9380-1688

Publication year:
All
11 - 15 out of 15Page size: 10
  1. 2018
  2. Published

    Assessment Of The Correlation Between Dynamic Contrast Enhanced Computed Tomography And Histological And Vascular Biomarkers In Patients Resected For Colorectal Liver Metastases

    Lauridsen, C., Axelsen, T., Hansen, M. L., Fallentin, E., Nielsen, Michael Bachmann, Eefsen, R. L., Illemann, M., Engelholm, Lars Henning, Vainer, B., Hoyer-hansen, G., Lund, I. K., Willemoe, G. L., Rolff, H. C., Mogensen, M. B. & Osterlind, K., 2018, In: Imaging in Medicine. 10, 6, p. 147-154

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

  3. Published

    Determining procedures for simulation-based training in radiology: a nationwide needs assessment

    Nayahangan, L. J., Nielsen, K. R., Albrecht-Beste, Elisabeth, Nielsen, Michael Bachmann, Paltved, C., Lindorff-Larsen, K. G., Nielsen, B. U. & Konge, Lars, 2018, In: European Radiology. 28, p. 2319–2327

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

  4. Published

    Noninvasive Estimation of Pressure Changes Using 2-D Vector Velocity Ultrasound: An Experimental Study with In Vivo Examples

    Olesen, J. B., Villagomez-Hoyos, C. A., Moller, N. D., tds797, tds797, Hansen, Kristoffer Lindskov, Nielsen, Michael Bachmann, Bech, B., Lönn, Lars, Traberg, M. S. & Jensen, J. A., 2018, In: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 65, 5, p. 709-719 11 p.

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

  5. Published

    Machine learning and deep learning applied in ultrasound

    Pehrson, L. M., Lauridsen, C. & Nielsen, Michael Bachmann, 2018, In: Ultraschall in der Medizin. 39, 4, p. 379-381

    Research output: Contribution to journal › Editorial › Research

  6. Published

    Development of a reliable simulation-based test for diagnostic abdominal ultrasound with a pass/fail standard usable for mastery learning

    Østergaard, M. L., Nielsen, K. R., Albrecht-Beste, Elisabeth, Konge, Lars & Nielsen, Michael Bachmann, Jan 2018, In: European Radiology. 28, 1, p. 51-57

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

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ID: 916435