Kenny Erleben

Kenny Erleben

Professor

ORCID: 0000-0001-6808-4747

Publication year:
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1 - 10 out of 11Page 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

    Accuracy and consistency of intensity-based deformable image registration in 4DCT for tumor motion estimation in liver radiotherapy planning

    Tascon-Vidarte, J. D., Stick, L. B., Josipovic, M., Risum, S., Jomier, J., Erleben, Kenny, Vogelius, Ivan R. & Darkner, Sune, Jul 2022, In: PLoS ONE. 17, 7 July, p. 1-15 e0271064.

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

  4. 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

  5. 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

  6. Published

    Bundle geodesic convolutional neural network for diffusion-weighted imaging segmentation

    Liu, Renfei, Lauze, Francois Bernard, Erleben, Kenny, Berg, Rune W. & Darkner, Sune, 2022, In: Journal of Medical Imaging. 9, 6, 14 p., 064002.

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

  7. Published

    Contact and friction simulation for computer graphics

    Andrews, S., Erleben, Kenny & Ferguson, Z., 2022, Association for Computing Machinery, Inc. 172 p.

    Research output: Book/Report › Book › Research

  8. Published

    Fast Vortex Particle Method for Fluid-Character Interaction

    Meldgaard, A., Darkner, Sune & Erleben, Kenny, 2022, Proceedings of Graphics Interface 2022: Montréal, Quebec, 16 - 19 May 2022. ACM Press, p. 84-91

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

  9. Published

    Fast Vortex Particle Method for Fluid-Character Interaction

    Meldgaard, A., Darkner, Sune & Erleben, Kenny, 2022, In: OpenReview.net. 2022, 7 p.

    Research output: Contribution to journal › Conference article › Research

  10. Published

    Group Convolutional Neural Networks for DWI Segmentation

    Liu, Renfei, Lauze, Francois Bernard, Bekkers, E. J. & Erleben, Kenny, 2022, In: Proceedings of Machine Learning Research. 2022, 1, p. 1-11

    Research output: Contribution to journal › Conference article › Research

  11. 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

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ID: 6466