Kenny Erleben

Kenny Erleben

Professor

ORCID: 0000-0001-6808-4747

Udgivelsesår:
Alle
1 - 9 ud af 9Pr. side: 10
Sortering: Udgivelsesdato
  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