Faezeh Moshfeghifar
Postdoc
Image Analysis, Computational Modelling and Geometry
Universitetsparken 1, 2100 København Ø
- 2022
- 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 conference › Paper › Research › peer-review
- 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 journal › Journal article › Research › peer-review
- 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 proceeding › Article in proceedings › Research › peer-review
- 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 proceeding › Article in proceedings › Research › peer-review
- 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 proceeding › Book chapter › Research › peer-review
- 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 journal › Journal article › Research › peer-review
- 2021
- 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 journal › Journal article › Research › peer-review
- 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 journal › Journal article › Research › peer-review
ID: 202839014
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Contact modeling from images using cut finite element solvers
Research output: Contribution to journal › Journal article › Research › peer-review
Published