Sune Darkner

Sune Darkner

Professor

ORCID: 0000-0001-6114-7100

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  1. 2024
  2. Udgivet

    Locally orderless networks

    Sporring, Jon, Xu, Peidi, Lu, J., Lauze, Francois Bernard & Darkner, Sune, 19 jun. 2024, arxiv.org, 12 s.

    Publikation: Working paper › Preprint › Forskning

  3. Udgivet

    An Automatic DWI/FLAIR Mismatch Assessment of Stroke Patients

    Johansen, Jacob, Offersen, C. M., Carlsen, Jonathan Frederik, Ingala, S., Hansen, Adam Espe, Nielsen, Michael Bachmann, Darkner, Sune & Pai, A., 2024, I: Diagnostics. 14, 1, 12 s., 69.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  4. 2023
  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. Udgivet

    Performance and Agreement When Annotating Chest X-ray Text Reports - A Preliminary Step in the Development of a Deep Learning-Based Prioritization and Detection System

    Li, D., Pehrson, Lea Marie, Bonnevie, R., Fraccaro, M., Thrane, J., Tøttrup, L., Lauridsen, C. A., Balaganeshan, Sedrah Butt, Jankovic, J., Andersen, T. T., Mayar, A., Hansen, Kristoffer Lindskov, Carlsen, Jonathan Frederik, Darkner, Sune & Nielsen, Michael Bachmann, 2023, I: Diagnostics. 13, 6, 24 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  11. 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

  12. 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

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ID: 18038443