20182020

Research output per year

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Personal profile

Education/Academic qualification

Doctor of Philosophy in Natural Sciences

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Research Output

  • 3 Article
  • 2 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

  • 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

  • Millimeter-wave imaging method based on frequency-diverse subarrays

    Leino, M. K., Ala-Laurinaho, J., Purisha, Z., Särkkä, S. & Viikari, V., 1 May 2019, GSMM 2019 - 12th Global Symposium on Millimeter Waves, Proceeding. IEEE, p. 84-86 3 p. 8797670

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

    Open Access
    File
  • 84 Downloads (Pure)

    Probabilistic approach to limited-data computed tomography reconstruction

    Purisha, Z., Jidling, C., Wahlstrom, N., Schön, T. B. & Särkkä, S., Oct 2019, In : Inverse Problems. 35, 10, 20 p., 105004.

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access

    Undersampled dynamic X-ray tomography with dimension reduction Kalman filter

    Hakkarainen, J., Purisha, Z., Solonen, A. & Siltanen, S., 2019, In : IEEE Transactions on Computational Imaging . 5, 3, p. 492-501 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  • Projects

    Probabilistic Deep Learning via Hierarchical Stochastic Partial Differential Equations

    Hostettler, R., Purisha, Z., Karvonen, T., Särkkä, S., Bahrami Rad, A., Emzir, M., Gao, R., Sarmavuori, J. & Raitoharju, M.

    01/01/201824/01/2020

    Project: Academy of Finland: Other research funding