• Richard Petersens Plads, 321, 218

    2800 Kgs. Lyngby

    Denmark

20172021

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  • Bayesian Active Learning for Maximal Information Gain on Model Parameters

    Arnavaz, K., Feragen, A., Krause, O. & Loog, M., 2021, Proceedings of 2020 25th International Conference on Pattern Recognition. IEEE, p. 10524-10531 (2020 25th International Conference on Pattern Recognition (icpr)).

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

    Open Access
    File
    13 Downloads (Pure)
  • Conceptual Parallels Between Stochastic Geometry and Diffusion-Weighted MRI

    Dela Haije, T. & Feragen, A., 2021, Anisotropy Across Fields and Scales. Özarslan, E., Schultz, T., Zhang, E. & Fuster, A. (eds.). Springer, p. 193-202 (Mathematics and Visualization).

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

    Open Access
    File
    12 Downloads (Pure)
  • Is Segmentation Uncertainty Useful?

    Czolbe, S., Arnavaz, K., Krause, O. & Feragen, A., 2021, Information Processing in Medical Imaging. Springer, p. 715-726 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12729).

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

  • Q-space trajectory imaging with positivity constraints (QTI+)

    Herberthson, M., Boito, D., Haije, T. D., Feragen, A., Westin, C. F. & Özarslan, E., Sep 2021, In: NeuroImage. 238, 20 p., 118198.

    Research output: Contribution to journalJournal articleResearchpeer-review

    Open Access
    File
    9 Downloads (Pure)
  • Algoritmer kopierer lægers fordomme om race og køn

    Ganz, M., Holm, S. H. & Feragen, A., 2020, In: Politiken. 04.06.2020, p. S. 9 (sektion 2)

    Research output: Contribution to journalContribution to newspaper - Comment/debateCommunication