Search Results - "Nielsen, Søren F"

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

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

“…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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Probabilistic PARAFAC2 by Jørgensen, Philip J H, Nielsen, Søren F, Hinrich, Jesper L, Schmidt, Mikkel N, Madsen, Kristoffer H, Mørup, Morten

“…The Parallel Factor Analysis 2 (PARAFAC2) is a multimodal factor analysis model suitable for analyzing multi-way data when one of the modes has incomparable…”
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Predictive assessment of models for dynamic functional connectivity by Nielsen, Søren F.V., Schmidt, Mikkel N., Madsen, Kristoffer H., Mørup, Morten

“…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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Probabilistic PARAFAC2 by Jørgensen, Philip J. H, Nielsen, Søren F. V, Hinrich, Jesper L, Schmidt, Mikkel N, Madsen, Kristoffer H, Mørup, Morten

“…The PARAFAC2 is a multimodal factor analysis model suitable for analyzing multi-way data when one of the modes has incomparable observation units, for example…”
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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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Nonparametric Modeling of Dynamic Functional Connectivity in fMRI Data by Nielsen, Søren F. V, Madsen, Kristoffer H, Røge, Rasmus, Schmidt, Mikkel N, Mørup, Morten

“…Dynamic functional connectivity (FC) has in recent years become a topic of interest in the neuroimaging community. Several models and methods exist for both…”
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Scalable Group Level Probabilistic Sparse Factor Analysis by Hinrich, Jesper L, Nielsen, Søren F. V, Riis, Nicolai A. B, Eriksen, Casper T, Frøsig, Jacob, Kristensen, Marco D. F, Schmidt, Mikkel N, Madsen, Kristoffer H, Mørup, 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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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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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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