Search Results - "Nielsen, Søren F V"
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1
Temporally intermittent communities in brain fMRI correlation networks
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 -
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Whole-Brain Exploratory Analysis of Functional Task Response Following Erythropoietin Treatment in Mood Disorders: A Supervised Machine Learning Approach
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 -
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Predictive assessment of models for dynamic functional connectivity
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 -
4
Probabilistic PARAFAC2
Published 21-06-2018“…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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Journal Article -
5
Modeling dynamic functional connectivity using a wishart mixture model
Published in 2017 International Workshop on Pattern Recognition in Neuroimaging (PRNI) (01-06-2017)“…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 -
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Nonparametric Modeling of Dynamic Functional Connectivity in fMRI Data
Published 04-01-2016“…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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Journal Article -
7
Scalable Group Level Probabilistic Sparse Factor Analysis
Published 14-12-2016“…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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Journal Article -
8
Scalable group level probabilistic sparse factor analysis
Published in 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (01-03-2017)“…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 -
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VARIATIONAL BAYESIAN PARTIALLY OBSERVED NON-NEGATIVE TENSOR FACTORIZATION
Published in 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP) (01-09-2018)“…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