Sune Darkner

Sune Darkner

Associate Professor

ORCID: 0000-0001-6114-7100

Publication year:
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11 - 20 out of 93Page 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, Mirjana, 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

    Reconstructing Binary Signals from Local Histograms

    Sporring, Jon & Darkner, Sune, 21 Mar 2022, In: Entropy. 24, 3, p. 1-11 433.

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

  5. 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

  6. Published

    An algebra for local histograms

    Sporring, Jon & Darkner, Sune, 2022, In: Frontiers in Computer Science. 4, p. 1-9 939563.

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

  7. 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

  8. 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

  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

    Information-Theoretic Registration with Explicit Reorientation of Diffusion-Weighted Images

    Jensen, H. G., Lauze, Francois Bernard & Darkner, Sune, 2022, In: Journal of Mathematical Imaging and Vision. 64, p. 1-16

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

  11. Published

    Inter- and Intra-Observer Agreement When Using a Diagnostic Labeling Scheme for Annotating Findings on Chest X-rays—An Early Step in the Development of a Deep Learning-Based Decision Support System

    Li, D., Pehrson, Lea Marie, Tøttrup, L., Fraccaro, M., Bonnevie, R., Thrane, J., Sørensen, P. J., Rykkje, A., Andersen, T. T., Steglich-Arnholm, H., Stærk, D. M. R., Borgwardt, L., Hansen, Kristoffer Lindskov, Darkner, Sune, Carlsen, Jonathan Frederik & Nielsen, Michael Bachmann, 2022, In: Diagnostics. 12, 12, 3112.

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

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ID: 18038443