Silas Nyboe Ørting

Silas Nyboe Ørting

Postdoc


  1. 2023
  2. Published

    Artificial intelligence enabled ECG screening for left ventricular systolic dysfunction: a systematic review

    Bjerkén, L. V., Rønborg, S. N., Jensen, M. T., Ørting, Silas Nyboe & Nielsen, Olav Wendelboe, 2023, In: Heart Failure Reviews. 28, 2, p. 419-430

    Research output: Contribution to journalReviewResearchpeer-review

  3. E-pub ahead of print

    Morphology on Categorical Distributions

    Ørting, Silas Nyboe, Stephensen, Hans Jacob Teglbjærg & Sporring, Jon, 2023, (E-pub ahead of print) In: Journal of Mathematical Imaging and Vision. 13 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. 2021
  5. Published

    Locally orderless tensor networks for classifying two- and three-dimensional medical images

    Selvan, Raghav, Ørting, Silas Nyboe & Dam, Erik Bjørnager, 2021, In: The Journal of Machine Learning for Biomedical Imaging. 5, SI, p. 1-21

    Research output: Contribution to journalConference articleResearchpeer-review

  6. 2020
  7. Published

    Morphology on categorical distributions

    Ørting, Silas Nyboe, Stephensen, Hans Jacob Teglbjærg & Sporring, Jon, 14 Dec 2020, arXiv.org.

    Research output: Book/ReportReportResearch

  8. Published

    A small note on variation in segmentation annotations

    Ørting, Silas Nyboe, 3 Dec 2020, In: arXiv. 6 p.

    Research output: Contribution to journalJournal articleResearch

  9. Published

    A Survey of Crowdsourcing in Medical Image Analysis

    Ørting, Silas Nyboe, Doyle, A., van Hilten, Arno, Hirth, M., Inel, O., Madan, C. R., Mavridis, P., Spiers, H. & Cheplygina, V., 2020, In: Human Computation. 7, 26 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  10. Published

    Classification of Volumetric Images Using Multi-Instance Learning and Extreme Value Theorem

    Tennakoon, R., Bortsova, G., Ørting, Silas Nyboe, Gostar, A. K., Wille, M. M. W., Saghir, Zaigham, Hoseinnezhad, R., de Bruijne, Marleen & Bab-Hadiashar, A., 2020, In: IEEE Transactions on Medical Imaging. 39, 4, p. 854-865

    Research output: Contribution to journalJournal articleResearchpeer-review

  11. Published

    Learning to quantify emphysema extent: What labels do we need?

    Ørting, Silas Nyboe, Petersen, Jens, Thomsen, L. H., Winkler Wille, M. M. & de Bruijne, Marleen, 2020, In: IEEE Journal of Biomedical and Health Informatics. 24, 4, p. 1149 -1159

    Research output: Contribution to journalJournal articleResearchpeer-review

  12. Published

    Multi-layered tensor networks for image classification

    Selvan, Raghav, Ørting, Silas Nyboe & Dam, Erik Bjørnager, 2020. 6 p.

    Research output: Contribution to conferencePaperResearch

  13. 2019
  14. Published

    A Cross-Center Smoothness Prior for Variational Bayesian Brain Tissue Segmentation

    Kouw, W. M., Ørting, Silas Nyboe, Petersen, Jens, Steenstrup Pedersen, Kim & de Bruijne, Marleen, 1 Jan 2019, Information Processing in Medical Imaging : 26th International Conference, IPMI 2019, Proceedings. Bao, S., Chung, A. C. S., Gee, J. C. & Yushkevich, P. A. (eds.). Springer, p. 360-371 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11492 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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