nsv780 nsv780

nsv780 nsv780

Postdoc, Gæsteforsker

Medlem af:

    ORCID: 0000-0002-4240-6805

    Udgivelsesår:
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    1 - 4 ud af 4Pr. side: 10
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    1. 2022
    2. Udgivet

      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, I: Computer Methods and Programs in Biomedicine. 224, 17 s., 107009.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    3. Udgivet

      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, s. 155.169

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    4. Udgivet

      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. (red.). Springer Science and Business Media Deutschland GmbH, s. 153-162 10 s. (Medical Image Learning with Limited and Noisy Data, Bind 13559).

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    5. Udgivet

      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, I: Computer Methods and Programs in Biomedicine. 226, 14 s., 107140.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    ID: 202839014