Kasra Arnavaz

Kasra Arnavaz

Postdoc

ORCID: 0000-0001-9228-9064

Publication year:
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1 - 5 out of 5Page size: 10
  1. 2023
  2. Accepted/In press

    Differentiable Depth for Real2Sim Calibration of Soft Body Simulations

    Arnavaz, Kasra, Nielsen, M. K., Kry, P. G., Macklin, M. & Erleben, Kenny, 2023, (Accepted/In press) In: Computer Graphics Forum. 13 p.

    Research output: Contribution to journal › Journal article › peer-review

  3. 2022
  4. Published

    Quantifying Topology In Pancreatic Tubular Networks From Live Imaging 3D Microscopy

    Arnavaz, Kasra, Krause, Oswin, Zepf, K., Bærentzen, J. A., Miskovic Krivokapic, Jelena, Heilmann, Silja, Nyeng, P. & Feragen, A., 2022, In: The Journal of Machine Learning for Biomedical Imaging. 2022, p. 1-24 015.

    Research output: Contribution to journal › Journal article › peer-review

  5. 2021
  6. Published

    Is Segmentation Uncertainty Useful?

    Czolbe, Steffen, Arnavaz, Kasra, Krause, Oswin & Feragen, A., 2021, Information Processing in Medical Imaging - 27th International Conference, IPMI 2021, Proceedings. Feragen, A., Sommer, S., Schnabel, J. & Nielsen, M. (eds.). Springer, p. 715-726 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12729 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  7. Published

    Segmentation of the Tubular Network in the Pancreas

    Arnavaz, Kasra, 2021, Department of Computer Science, Faculty of Science, University of Copenhagen. 107 p.

    Research output: Book/Report › Ph.D. thesis › Research

  8. 2020
  9. Published

    Bayesian active learning for maximal information gain on model parameters

    Arnavaz, Kasra, Feragen, A., Krause, Oswin & Loog, M., 2020, Proceedings of ICPR 2020 - 25th International Conference on Pattern Recognition. IEEE, p. 10524-10531 8 p. 9411962

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

ID: 203737881