Faezeh Moshfeghifar

Faezeh Moshfeghifar

Postdoc


Publication year:
  1. 2022
  2. Published

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

    Moshfeghifar, Faezeh, Nielsen, M. K., Tascon Vidarte, J. D., Darkner, Sune & Erleben, Kenny, 1 Nov 2022.

    Research output: Contribution to conferencePaperResearchpeer-review

  3. Published

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

    Gholamalizadeh, T., Moshfeghifar, Faezeh, 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 journalJournal articleResearchpeer-review

  4. 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 - 1st International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 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. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13559 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  5. 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 - 1st International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 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. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13559 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  6. 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. Springer, p. 153-162 (Medical Image Learning with Limited and Noisy Data, Vol. 13559).

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

  7. Published

    LibHip: An open-access hip joint model repository suitable for finite element method simulation

    Moshfeghifar, Faezeh, 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 journalJournal articleResearchpeer-review

  8. 2021
  9. Published

    Velocity Skinning for Real-time Stylized Skeletal Animation

    Rohmer, D., Tarini, M., Kalyanasundaram, N., Moshfeghifar, Faezeh, Cani, M. P. & Zordan, V., May 2021, In: Computer Graphics Forum. 40, 2, p. 549-561 13 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  10. Published

    Contact modeling from images using cut finite element solvers

    Claus, S., Kerfriden, P., Moshfeghifar, Faezeh, Darkner, Sune, Erleben, Kenny & Wong, Christian, 2021, In: Advanced Modeling and Simulation in Engineering Sciences. 8, 1, p. 1-23 13.

    Research output: Contribution to journalJournal articleResearchpeer-review

ID: 202839014