Kenny Erleben

Kenny Erleben

Professor

Medlem af:

    ORCID: 0000-0001-6808-4747

    Udgivelsesår:
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    1 - 9 ud af 9Pr. side: 50
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    1. 2023
    2. Udgivet

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

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

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    3. Udgivet

      Collision-constrained deformable image registration framework for discontinuity management

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

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    4. Udgivet

      Deep Learning-Assisted Localisation of Nanoparticles in synthetically generated two-photon microscopy images

      Netterstrøm, R., Kutuzov, Nikolay, Darkner, Sune, Pallesen, M. J., Lauritzen, Martin, Erleben, Kenny & Lauze, Francois Bernard, 2023, arXiv.org, 1 s.

      Publikation: Working paper › Preprint › Forskning

    5. 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

    6. Udgivet

      Differentiable Depth for Real2Sim Calibration of Soft Body Simulations

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

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    7. 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

    8. Udgivet

      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, I: IEEE Transactions on Medical Imaging. 42, 3, s. 797-809

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    9. Udgivet

      SE(3) Group Convolutional Neural Networks and a Study on Group Convolutions and Equivariance for DWI Segmentation

      Liu, Renfei, Lauze, Francois Bernard, Bekkers, E. J., Erleben, Kenny & Darkner, Sune, 2023, Research Square, 32 s.

      Publikation: Working paper › Preprint › Forskning

    10. Udgivet

      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, Bind 2023-April).

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

    ID: 6466