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Research Output

Deep learning for prediction of cardiac indices from photoplethysmographic waveform: A virtual database approach

Huttunen, J. M. J., Kärkkäinen, L., Honkala, M. & Lindholm, H., Dec 2019, In : INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING. 17 p., e33303.

Research output: Contribution to journalArticleScientificpeer-review

  • Estimation of groundwater storage from seismic data using deep learning

    Lähivaara, T., Malehmir, A., Pasanen, A., Kärkkäinen, L., Huttunen, J. M. J. & Hesthaven, J. S., 2019, In : Geophysical Prospecting. 67, 8, p. 2115-2126 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  • 1 Citation (Scopus)

    Pulse transit time estimation of aortic pulse wave velocity and blood pressure using machine learning and simulated training data

    Huttunen, J. M. J., Kärkkäinen, L. & Lindholm, H., 1 Aug 2019, In : PLoS computational biology. 15, 8, p. e1007259

    Research output: Contribution to journalArticleScientificpeer-review

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  • 2 Citations (Scopus)
    91 Downloads (Pure)

    Press / Media

    Computer science versus COVID-19

    Leo Kärkkäinen

    23/03/2020

    1 item of Media coverage

    Press/Media: Media appearance

    Aalto University: AI is revolutionising health technology

    Leo Kärkkäinen

    28/02/2019

    1 item of Media coverage

    Press/Media: Media appearance