Kenny Erleben

Kenny Erleben

Professor

ORCID: 0000-0001-6808-4747

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  1. 2023
  2. Udgivet

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

    Xu, Peidi, Gholamalizadeh, T., nsv780, nsv780, Darkner, Sune & Erleben, Kenny, 2023, I: IEEE Access. 11, s. 102460-102470

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  3. Udgivet

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

    Xu, Peidi, Lee, B., Sosnovtseva, Olga, Sørensen, 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. (red.). Springer, s. 191-201 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 14307 LNCS).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  4. 2024
  5. Udgivet

    Differentiable Rendering as a Way to Program Cable-Driven Soft Robots

    Arnavaz, Kasra & Erleben, Kenny, 2024, arXiv.org, 10 s.

    Publikation: Working paper › Preprint › Forskning

  6. Udgivet

    A systematic comparison between FEBio and PolyFEM for biomechanical systems

    Martin, L., Jain, P., Ferguson, Z., Gholamalizadeh, T., nsv780, nsv780, Erleben, Kenny, Panozzo, D., Abramowitch, S. & Schneider, T., 2024, I: Computer Methods and Programs in Biomedicine. 244, 14 s., 107938.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

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