Michael Bachmann Nielsen

Michael Bachmann Nielsen

Clinical Professor

Member of:

  • Radiology


  1. 2022
  2. Published

    Pressure Difference Estimation in Non-stenotic Carotid Bifurcation Phantoms Using Vector Flow Imaging

    Nguyen, T. Q., Traberg, M. S., Olesen, J. B., Moshavegh, R., Møller-Sørensen, P. H., Lönn, Lars, Jensen, J. A., Nielsen, Michael Bachmann & Hansen, Kristoffer Lindskov, 2022, In: Ultrasound in Medicine and Biology. 48, 2, p. 346-357

    Research output: Contribution to journalJournal articlepeer-review

  3. Published

    Reducing Annotation Need in Self-explanatory Models for Lung Nodule Diagnosis

    Lu, J., Yin, C., Krause, Oswin, Erleben, Kenny, Nielsen, Michael Bachmann & Darkner, Sune, 2022, Interpretability of Machine Intelligence in Medical Image Computing. Reyes, M., Abreu, PH. & Cardoso, J. (eds.). Springer, p. 33-43 (Lecture Notes in Computer Science, Vol. 13611).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  4. Published

    Ultrasound super-resolution imaging with a hierarchical Kalman tracker

    Taghavi, I., Andersen, S. B., Hoyos, C. A. V., Schou, M., Gran, F., Hansen, Kristoffer Lindskov, Nielsen, Michael Bachmann, Sorensen, Charlotte Mehlin, Stuart, M. B. & Jensen, J. A., 2022, In: Ultrasonics. 122, 106695.

    Research output: Contribution to journalJournal articlepeer-review

  5. 2021
  6. Published

    Simulation-based training in ultrasound - where are we now?

    Nayahangan, L. J., Dietrich, C. F. & Nielsen, Michael Bachmann, 1 Jun 2021, In: Ultraschall in der Medizin. 42, 3, p. 240-244 5 p.

    Research output: Contribution to journalEditorialpeer-review

  7. Published

    Consensus on technical procedures in radiology to include in simulation-based training for residents: a European-wide needs assessment

    Nayahangan, L. J., Albrecht-Beste, Elisabeth, Konge, Lars, Brkljačić, B., Catalano, C., Ertl-Wagner, B., Riklund, K. & Nielsen, Michael Bachmann, Jan 2021, In: European Radiology. 31, 1, p. 171-180 10 p.

    Research output: Contribution to journalJournal articlepeer-review

  8. Published

    In vivo Motion Correction in Super Resolution Imaging of Rat Kidneys

    Taghavi, I., Andersen, S. B., Hoyos, C. A. V., Nielsen, Michael Bachmann, Sorensen, Charlotte Mehlin & Jensen, J. A., 2021, In: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 68, 10, p. 3082 - 3093

    Research output: Contribution to journalJournal articlepeer-review

  9. Published

    Automatic Classification of Arterial and Venous Flow in Super-resolution Ultrasound Images of Rat Kidneys

    Taghavi, I., Andersen, S. B., Sogaard, S. B., Nielsen, Michael Bachmann, Sorensen, Charlotte Mehlin, Stuart, M. B. & Jensen, J. A., 2021, 2021 IEEE International Ultrasonics Symposium (IUS). IEEE, 3 p. (IEEE International Ultrasonics Symposium, IUS).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  10. Published

    Common carotid artery volume flow: A comparison study between ultrasound vector flow imaging and phase contrast magnetic resonance imaging

    Brandt, A. H., Olesen, J. B., Moshavegh, R., Jensen, J. A., Nielsen, Michael Bachmann & Hansen, Kristoffer Lindskov, 2021, In: Neurology International. 13, 3, p. 269-278 10 p.

    Research output: Contribution to journalJournal articlepeer-review

  11. Published
  12. Published

    Evaluation of 2D super-resolution ultrasound imaging of the rat renal vasculature using ex vivo micro-computed tomography

    Andersen, S. B., Taghavi, I., Kjer, H. M., Søgaard, S. B., Gundlach, C., Dahl, V. A., Nielsen, Michael Bachmann, Dahl, A. B., Jensen, J. A. & Sorensen, Charlotte Mehlin, 2021, In: Scientific Reports. 11, 13 p., 24335.

    Research output: Contribution to journalJournal articlepeer-review

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