Kenny Erleben

Kenny Erleben

Professor

Member of:


    1. 2024
    2. Published

      A systematic comparison between FEBio and PolyFEM for biomechanical systems

      Martin, L., Jain, P., Ferguson, Z., Gholamalizadeh, T., Moshfeghifar, Faezeh, Erleben, Kenny, Panozzo, D., Abramowitch, S. & Schneider, T., 2024, In: Computer Methods and Programs in Biomedicine. 244, 14 p., 107938.

      Research output: Contribution to journalJournal articlepeer-review

    3. 2023
    4. Published

      A hybrid approach to full-scale reconstruction of renal arterial network

      Xu, Peidi, von Holstein-Rathlou, Niels-Henrik, Søgaard, S. B., Gundlach, C., Sorensen, Charlotte Mehlin, Erleben, Kenny, Sosnovtseva, Olga & Darkner, Sune, 9 May 2023, In: Scientific Reports. 13, 1, 15 p., 7569.

      Research output: Contribution to journalJournal articlepeer-review

    5. Published

      Collision-constrained deformable image registration framework for discontinuity management

      Alscher, Thomas Michael, Erleben, Kenny & Darkner, Sune, 2023, In: PLoS ONE. 18, 8, 15 p., e0290243.

      Research output: Contribution to journalJournal articlepeer-review

    6. Published
    7. Published

      Deep-learning-based segmentation of individual tooth and bone with periodontal ligament interface details for simulation purposes

      Xu, Peidi, Gholamalizadeh, T., Moshfeghifar, Faezeh, Darkner, Sune & Erleben, Kenny, 2023, In: IEEE Access. 11, p. 102460-102470

      Research output: Contribution to journalJournal articlepeer-review

    8. Published

      Differentiable Depth for Real2Sim Calibration of Soft Body Simulations

      Arnavaz, Kasra, Nielsen, M. K., Kry, P. G., Macklin, M. & Erleben, Kenny, 2023, In: Computer Graphics Forum. 42, 1, p. 277-289 13 p.

      Research output: Contribution to journalJournal articlepeer-review

    9. Published

      Extremely Weakly-Supervised Blood Vessel Segmentation with Physiologically Based Synthesis and Domain Adaptation

      Xu, Peidi, Lee, B., Sosnovtseva, Olga, Sorensen, Charlotte Mehlin, Erleben, Kenny & Darkner, Sune, 2023, Medical Image Learning with Limited and Noisy Data - 2nd International Workshop, MILLanD 2023, Held in Conjunction with MICCAI 2023, Proceedings. Xue, Z., Antani, S., Zamzmi, G., Yang, F., Rajaraman, S., Liang, Z., Huang, S. X. & Linguraru, M. G. (eds.). Springer, p. 191-201 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14307 LNCS).

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

    10. Published

      Pseudo-Label Guided Image Synthesis for Semi-Supervised COVID-19 Pneumonia Infection Segmentation

      Lyu, F., Ye, M., Carlsen, J. F., Erleben, Kenny, Darkner, Sune & Yuen, P. C., 2023, In: IEEE Transactions on Medical Imaging. 42, 3, p. 797-809

      Research output: Contribution to journalJournal articlepeer-review

    11. Published
    12. Published

      cRedAnno+: Annotation Exploitation In Self-Explanatory Lung Nodule Diagnosis

      Lu, J., Yin, C., Erleben, Kenny, Nielsen, Michael Bachmann & Darkner, Sune, 2023, 2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023. IEEE Computer Society Press, (Proceedings - International Symposium on Biomedical Imaging, Vol. 2023-April).

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

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