Sune Darkner

Sune Darkner

Lektor

ORCID: 0000-0001-6114-7100

Udgivelsesår:
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  1. 2022
  2. Udgivet

    A Direct Geometry Processing Cartilage Generation Method Using Segmented Bone Models from Datasets with Poor Cartilage Visibility

    nsv780, nsv780, Nielsen, M. K., Tascon Vidarte, J. D., Darkner, Sune & Erleben, Kenny, 2022, Computational Biomechanics for Medicine: Towards Translation and Better Patient Outcomes. Springer, s. 155.169

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

  3. Udgivet

    Auto-segmentation of Hip Joints Using MultiPlanar UNet with Transfer Learning

    Xu, Peidi, nsv780, nsv780, Gholamalizadeh, T., Nielsen, Michael Bachmann, Erleben, Kenny & Darkner, Sune, 2022, Medical Image Learning with Limited and Noisy Data: First International Workshop, MILLanD 2022 Held in Conjunction with MICCAI 2022 Singapore, September 22, 2022 Proceedings. Zamzmi, G., Antani, S., Rajaraman, S., Xue, Z., Bagci, U. & Linguraru, M. G. (red.). Springer Science and Business Media Deutschland GmbH, s. 153-162 10 s. (Medical Image Learning with Limited and Noisy Data, Bind 13559).

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

  4. Udgivet

    Fast Vortex Particle Method for Fluid-Character Interaction

    Meldgaard, A., Darkner, Sune & Erleben, Kenny, 2022, I: OpenReview.net. 2022, 7 s.

    Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning

  5. Udgivet

    Reducing Annotation Need in Self-explanatory Models for Lung Nodule Diagnosis

    Lu, J., Yin, C., Krause, Oswin, Erleben, Kenny, Nielsen, Michael Bachmann & Darkner, Sune, 2022, Interpretability of Machine Intelligence in Medical Image Computing. Reyes, M., Abreu, PH. & Cardoso, J. (red.). Springer, s. 33-43 (Lecture Notes in Computer Science, Bind 13611).

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

  6. Udgivet

    Revisiting Transformer-based Models for Long Document Classification

    Dai, X., Chalkidis, Ilias, Darkner, Sune & Elliott, Desmond, 2022, Findings of the Association for Computational Linguistics: EMNLP 2022. Association for Computational Linguistics, s. 7212–7230

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

ID: 18038443