Michael Bachmann Nielsen

Michael Bachmann Nielsen

Clinical Professor

Member of:

  • Radiology


  1. 2023
  2. Published

    Diagnostic Considerations of Intermetatarsal Bursitis: A Systematic Review

    Larsen, S. B., Søgaard, S. B., Nielsen, Michael Bachmann & Torp-Pedersen, S. T., 2023, In: Diagnostics. 13, 2, 11 p., 211.

    Research output: Contribution to journalReviewResearchpeer-review

  3. Published

    Evaluation of the HD-GLIO Deep Learning Algorithm for Brain Tumour Segmentation on Postoperative MRI

    Sørensen, P. J., Carlsen, Jonathan Frederik, Larsen, V. A., Andersen, Flemming Littrup, Ladefoged, C. N., Nielsen, Michael Bachmann, Poulsen, H. S. & Hansen, Adam Espe, 2023, In: Diagnostics. 13, 3, 12 p., 363.

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. Published

    Performance and Agreement When Annotating Chest X-ray Text Reports - A Preliminary Step in the Development of a Deep Learning-Based Prioritization and Detection System

    Li, D., Pehrson, Lea Marie, Bonnevie, R., Fraccaro, M., Thrane, J., Tøttrup, L., Lauridsen, C. A., Balaganeshan, Sedrah Butt, Jankovic, J., Andersen, T. T., Mayar, A., Hansen, Kristoffer Lindskov, Carlsen, Jonathan Frederik, Darkner, Sune & Nielsen, Michael Bachmann, 2023, In: Diagnostics. 13, 6, 24 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  5. Published

    Timing of Early Postoperative MRI following Primary Glioblastoma Surgery — A Retrospective Study of Contrast Enhancements in 311 Patients

    Rykkje, A. M., Larsen, V. A., Skjøth, Jane, Nielsen, Michael Bachmann, Carlsen, Jonathan Frederik & Hansen, Adam Espe, 2023, In: Diagnostics. 13, 4, 9 p., 795.

    Research output: Contribution to journalJournal articleResearchpeer-review

  6. 2022
  7. 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 journalReviewResearchpeer-review

  8. 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, Anne Sofie Bech, 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 journalJournal articleResearchpeer-review

  9. Published

    Super-Resolution Ultrasound Imaging Can Quantify Alterations in Microbubble Velocities in the Renal Vasculature of Rats

    Andersen, S. B., Taghavi, I., Søgaard, S. B., Hoyos, C. A. V., Nielsen, Michael Bachmann, Jensen, J. A. & Sorensen, Charlotte Mehlin, May 2022, In: Diagnostics. 12, 5, p. 1-15 1111.

    Research output: Contribution to journalJournal articleResearchpeer-review

  10. Published

    Anatomic and Functional Imaging using Row-Column Arrays

    Jensen, J. A., Schou, M., Jorgensen, L. T., Tomov, B. G., Stuart, M. B., Traberg, M. S., Taghavi, I., Oygaard, S. H., Ommen, M. L., Steenberg, K., Thomsen, E. V., Panduro, Nathalie Sarup, Nielsen, Michael Bachmann & Sorensen, Charlotte Mehlin, 2022, In: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 69, 10, p. 2722 - 2738

    Research output: Contribution to journalJournal articleResearchpeer-review

  11. Published

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

    Xu, Peidi, Moshfeghifar, Faezeh, 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 proceedingArticle in proceedingsResearchpeer-review

  12. Published

    Causes and Risk Factors of Pediatric Spontaneous Intracranial Hemorrhage — A Systematic Review

    Ciochon, U. M., Bindslev, J. B. B., Høi-Hansen, Christina Engel, Truelsen, Thomas Clement, Larsen, V. A., Nielsen, Michael Bachmann & Hansen, Adam Espe, 2022, In: Diagnostics. 12, 6, 12 p., 1459.

    Research output: Contribution to journalReviewResearchpeer-review

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