nsv780 nsv780

nsv780 nsv780

Postdoc, Guest Researcher

Member of:

    ORCID: 0000-0002-4240-6805

    Publication year:
    All
    1 - 4 out of 4Page size: 10
    1. 2022
    2. Published

      Open-Full-Jaw: An open-access dataset and pipeline for finite element models of human jaw

      Gholamalizadeh, T., nsv780, nsv780, Ferguson, Z., Schneider, T., Panozzo, D., Darkner, Sune, Makaremi, M., Chan, F., Lempel Søndergaard, P. & Erleben, Kenny, 1 Sep 2022, In: Computer Methods and Programs in Biomedicine. 224, 17 p., 107009.

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

    3. Published

      A Direct Geometry Processing Cartilage Generation Method Using Segmented Bone Models from Datasets with Poor Cartilage Visibility

      nsv780, nsv780, Nielsen, M. K., Tascon Vidarte, J. D., Darkner, Sune & Erleben, Kenny, 2022, Computational Biomechanics for Medicine: Towards Translation and Better Patient Outcomes. Springer, p. 155.169

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

    4. 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

    5. 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

    ID: 202839014