Multispectral photon-counting for medical imaging and beam characterization

Project Details

Short titleRADDESS-MPMIB
StatusActive
Effective start/end date01/01/201831/12/2021

Research Output

  • 3 Article
  • 1 Conference contribution

Multispectral photon-counting for medical imaging and beam characterization

Brücken, E., Bharthuar, S., Emzir, M., Golovleva, M., Gädda, A., Hostettler, R., Härkönen, J., Kirschenmann, S., Litichevskyi, V., Luukka, P., Martikainen, L., Naaranoja, T., Nincǎ, I., Ott, J., Petrow, H., Purisha, Z., Siiskonen, T., Särkkä, S., Tikkanen, J., Tuuva, T. & 1 others, Winkler, A., 18 Feb 2020, In : Journal of Instrumentation. 15, 2, 11 p., C02024.

Research output: Contribution to journalArticleScientificpeer-review

  • Gaussian process classification using posterior linearization

    Garcia-Fernandez, A. F., Tronarp, F. & Särkkä, S., 1 May 2019, In : IEEE Signal Processing Letters. 26, 5, p. 735-739 5 p., 8673324.

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
  • Hilbert-Space Reduced-Rank Methods for Deep Gaussian Processes

    Emzir, M. F., Lasanen, S., Purisha, Z. & Särkkä, S., 1 Oct 2019, Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2019. 8918874. (IEEE International Workshop on Machine Learning for Signal Processing).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review