Search Results - "Nielsen, Søren F.V."

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  1. 1

    Predictive assessment of models for dynamic functional connectivity by Nielsen, Søren F.V., Schmidt, Mikkel N., Madsen, Kristoffer H., Mørup, Morten

    Published in NeuroImage (Orlando, Fla.) (01-05-2018)
    “…In neuroimaging, it has become evident that models of dynamic functional connectivity (dFC), which characterize how intrinsic brain organization changes over…”
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    Journal Article
  2. 2

    Whole-Brain Exploratory Analysis of Functional Task Response Following Erythropoietin Treatment in Mood Disorders: A Supervised Machine Learning Approach by Nielsen, Søren F V, Madsen, Kristoffer H, Vinberg, Maj, Kessing, Lars V, Siebner, Hartwig R, Miskowiak, Kamilla W

    Published in Frontiers in neuroscience (20-11-2019)
    “…A core symptom of mood disorders is cognitive impairment in attention, memory and executive functions. Erythropoietin (EPO) is a candidate treatment for…”
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    Journal Article
  3. 3

    Temporally intermittent communities in brain fMRI correlation networks by Aslak, Ulf, Nielsen, Søren F. V., Mørup, Morten, Lehmann, Sune

    Published in Applied network science (23-08-2019)
    “…It is widely agreed that the human brain is organized as a system of segregated modules that reside in separate regions and, through coordinated integration,…”
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    Journal Article
  4. 4

    Scalable group level probabilistic sparse factor analysis by Hinrich, Jesper L., Nielsen, Soren F. V., Riis, Nicolai A. B., Eriksen, Casper T., Frosig, Jacob, Kristensen, Marco D. F., Schmidt, Mikkel N., Madsen, Kristoffer H., Morup, Morten

    “…Many data-driven approaches exist to extract neural representations of functional magnetic resonance imaging (fMRI) data, but most of them lack a proper…”
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    Conference Proceeding
  5. 5

    VARIATIONAL BAYESIAN PARTIALLY OBSERVED NON-NEGATIVE TENSOR FACTORIZATION by Hinrich, Jesper L., Nielsen, Soren F. V., Madsen, Kristoffer H., Morup, Morten

    “…Non-negative matrix and tensor factorization (NMF/NTF) have become important tools for extracting part based representations in data. It is however unclear…”
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    Conference Proceeding
  6. 6

    Testing group differences in state transition structure of dynamic functional connectivity models by Nielsen, Soren F.V., Vidaurre, Diego, Madsen, Kristoffer H., Schmidt, Mikkel N., Morup, Morten

    “…Understanding the origins of intrinsic time-varying functional connectivity remains a challenge in the neuroimaging community. However, some associations…”
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    Conference Proceeding
  7. 7

    Modeling dynamic functional connectivity using a wishart mixture model by Nielsen, Søren F. V., Madsen, Kristoffer H., Schmidt, Mikkel N., Mørup, Morten

    “…Dynamic functional connectivity (dFC) has recently become a popular way of tracking the temporal evolution of the brains functional integration. However, there…”
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    Conference Proceeding