Michael Bachmann Nielsen

Michael Bachmann Nielsen

Clinical Professor

Member of:

  • Radiology

ORCID: 0000-0002-9380-1688

Publication year:
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  1. Published

    The ultrasound use of simulators, current view, and perspectives: Requirements and technical aspects (WFUMB state of the art paper)

    Dietrich, C. F., Lucius, C., Nielsen, Michael Bachmann, Burmester, E., Westerway, S. C., Chu, C. Y., Condous, G., Cui, X. W., Dong, Y., Harrison, G., Koch, J., Kraus, B., Nolsøe, Christian, Nayahangan, L. J., Pedersen, M. R. V., Saftoiu, A., Savitsky, E. & Blaivas, M., 2023, In: Endoscopic Ultrasound. 12, 1, p. 38-49 12 p.

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

  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 journal › Review › Research › peer-review

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

  4. Published

    cRedAnno+: Annotation Exploitation In Self-Explanatory Lung Nodule Diagnosis

    Lu, J., Yin, C., Erleben, Kenny, Nielsen, Michael Bachmann & Darkner, Sune, 2023, 2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023. IEEE Computer Society Press, (Proceedings - International Symposium on Biomedical Imaging, Vol. 2023-April).

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

  5. Published

    The use of simulation in medical ultrasound: Current perspectives on applications and practical implementation (WFUMB state-of-the-art paper)

    Lucius, C., Nielsen, Michael Bachmann, Blaivas, M., Burmester, E., Westerway, S. C., Chu, C. Y., Condous, G., Cui, X., Dong, Y., Harrison, G., Koch, J., Kraus, B., Nolsøe, Christian, Nayahangan, L. J., Pedersen, M. R. V., Saftoiu, A., Savitsky, E. & Dietrich, C. F., 2023, In: Endoscopic Ultrasound. 12, 3, p. 311-318 8 p.

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

  6. Published

    Artificial Intelligence for Automated DWI/FLAIR Mismatch Assessment on Magnetic Resonance Imaging in Stroke: A Systematic Review

    Offersen, C. M., Sørensen, Jens Benn, Sheng, K., Carlsen, Jonathan Frederik, Langkilde, Annika Reynberg, Pai, A., Truelsen, Thomas Clement & Nielsen, Michael Bachmann, 2023, In: Diagnostics. 13, 12, 15 p., 2111.

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

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

  8. Published

    Super-Resolution Ultrasound Imaging of Renal Vascular Alterations in Zucker Diabetic Fatty Rats during the Development of Diabetic Kidney Disease

    Søgaard, S. B., Andersen, S. B., Taghavi, I., Schou, M., Christoffersen, Christina, Jacobsen, Jens Christian Brings, Kjer, H. M., Gundlach, C., McDermott, Amy, Jensen, J. A., Nielsen, Michael Bachmann & Sorensen, Charlotte Mehlin, 12 Oct 2023, In: Diagnostics. 13, 20, 3197.

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

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

ID: 916435