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Showing 1–2 of 2 results
Advanced filters: Author: Paroma Varma Clear advanced filters

  • The availability of labelled training data is one of the practical obstacles towards wide application of machine learning models in medicine. Here the authors develop a weakly supervised deep learning model for the classification of aortic malformations using unlabelled cardiac MRI sequences from the UK biobank.

    • Jason A. Fries
    • Paroma Varma
    • James R. Priest
    ResearchOpen Access
    Nature Communications
    Volume: 10, P: 1-10

  • A method for parameterizing electrophysiological neural power spectra into periodic and aperiodic components is introduced, addressing limitations of common approaches. The method is validated in simulation and demonstrated on real data applications.

    • Thomas Donoghue
    • Matar Haller
    • Bradley Voytek
    Research
    Nature Neuroscience
    Volume: 23, P: 1655-1665