Michael Bachmann Nielsen

Michael Bachmann Nielsen

Clinical Professor

Member of:

  • Radiology

ORCID: 0000-0002-9380-1688

Publication year:
All
1 - 3 out of 3Page size: 10
  1. 2022
  2. 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

  3. Published

    Fast Super Resolution Ultrasound Imaging using the Erythrocytes

    Jensen, J. A., Schou, M., Andersen, S. B., Sogaard, S. B., Sorensen, Charlotte Mehlin, Nielsen, Michael Bachmann, Gundlach, C., Kjer, H. M., Dahl, A. B., Stuart, M. B. & Tomov, B. G., 2022, Medical Imaging 2022: Ultrasonic Imaging and Tomography. Bottenus, N. & Ruiter, N. V. (eds.). SPIE, p. 1-7 120380E. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Vol. 12038).

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

  4. 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

ID: 916435