Michael Bachmann Nielsen

Michael Bachmann Nielsen

Clinical Professor

Member of:

  • Radiology

ORCID: 0000-0002-9380-1688

Publication year:
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  1. Published

    Auto-segmentation of Hip Joints Using MultiPlanar UNet with Transfer Learning

    Xu, Peidi, nsv780, nsv780, Gholamalizadeh, T., Nielsen, Michael Bachmann, Erleben, Kenny & Darkner, Sune, 2022, Medical Image Learning with Limited and Noisy Data: First International Workshop, MILLanD 2022 Held in Conjunction with MICCAI 2022 Singapore, September 22, 2022 Proceedings. Zamzmi, G., Antani, S., Rajaraman, S., Xue, Z., Bagci, U. & Linguraru, M. G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 153-162 10 p. (Medical Image Learning with Limited and Noisy Data, Vol. 13559).

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

  2. Published

    Microbubble tracking with a forward-backward strategy

    Taghavi, I., Andersen, S. B., Schou, M., Nielsen, Michael Bachmann, Sorensen, Charlotte Mehlin, Stuart, M. B. & Jensen, J. A., 2022, In: Progress in Biomedical Optics and Imaging - Proceedings of SPIE. 12038, 6 p., 120380C.

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

  3. 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 journal › Journal article › Research › peer-review

  4. Published

    Super-Resolution Ultrasound Imaging Provides Quantification of the Renal Cortical and Medullary Vasculature in Obese Zucker Rats: A Pilot Study

    Søgaard, S. B., Andersen, S. B., Taghavi, I., Hoyos, C. A. V., Christoffersen, Christina, Hansen, Kristoffer Lindskov, Jensen, J. A., Nielsen, Michael Bachmann & Sorensen, Charlotte Mehlin, Jul 2022, In: Diagnostics. 12, 7, 1626.

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

  5. Published

    Automated Identification of Multiple Findings on Brain MRI for Improving Scan Acquisition and Interpretation Workflows: A Systematic Review

    Sheng, K., Offersen, C. M., Middleton, Jon Anthony, Carlsen, Jonathan Frederik, Truelsen, Thomas Clement, Pai, A., Johansen, Jacob & Nielsen, Michael Bachmann, Aug 2022, In: Diagnostics. 12, 8, 19 p., 1878.

    Research output: Contribution to journal › Review › Research › peer-review

  6. Published

    Ensuring competence in ultrasound-guided procedures—a validity study of a newly developed assessment tool

    Rasmussen, N. K., Carlsen, Jonathan Frederik, Olsen, B. H., Stærk, D., Lambine, T. L., Henriksen, B., Rasmussen, M., Jørgensen, M., Albrecht-Beste, Elisabeth, Konge, Lars, Nielsen, Michael Bachmann & Nayahangan, L. J., 2022, In: European Radiology. 32, 7, p. 4954-4966 13 p.

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

  7. 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 journal › Journal article › Research › peer-review

  8. Published

    LibHip: An open-access hip joint model repository suitable for finite element method simulation

    nsv780, nsv780, Gholamalizadeh, T., Ferguson, Z., Schneider, T., Nielsen, Michael Bachmann, Panozzo, D., Darkner, Sune & Erleben, Kenny, 2022, In: Computer Methods and Programs in Biomedicine. 226, 14 p., 107140.

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

  9. 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 proceeding › Article in proceedings › Research › peer-review

  10. 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 journal › Journal article › Research › peer-review

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ID: 916435