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Quantitative assessment of cerebral connectivity deficiency and cognitive impairment in children with prenatal alcohol exposure

Chaos (Woodbury, N.Y.), 2019-04, Vol.29 (4), p.041101

2019

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Improving network inference: The impact of false positive and false negative conclusions about the presence or absence of links

Journal of neuroscience methods, 2018-09, Vol.307, p.31-36

2018

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Impaired dynamic cerebral autoregulation in patients with cerebral amyloid angiopathy

Brain research, 2019-08, Vol.1717, p.60-65

2019

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Detection of time-, frequency- and direction-resolved communication within brain networks

Scientific reports, 2018-01, Vol.8 (1), p.1825-15, Article 1825

2018

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Assessing the strength of directed influences among neural signals: An approach to noisy data

Journal of neuroscience methods, 2015-01, Vol.239, p.47-64

2015

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A numerically efficient implementation of the expectation maximization algorithm for state space models

Applied mathematics and computation, 2014-08, Vol.241, p.222-232

2014

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Inference of Granger causal time-dependent influences in noisy multivariate time series

Journal of neuroscience methods, 2012-01, Vol.203 (1), p.173-185

2012

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Granger causal time-dependent source connectivity in the somatosensory network

Scientific reports, 2015-05, Vol.5 (1), p.10399-10399, Article 10399

2015

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Preeclampsia postpartum: Impairment of cerebral autoregulation and reversible cerebral hyperperfusion

Pregnancy hypertension, 2019-07, Vol.17, p.121-126

2019

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Block-bootstrapping for noisy data

Journal of neuroscience methods, 2013-10, Vol.219 (2), p.285-291

2013

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Grading of Dynamic Cerebral Autoregulation Without Blood Pressure Recordings: A Simple Doppler-Based Method

Ultrasound in medicine & biology, 2012-09, Vol.38 (9), p.1546-1551

2012

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Overarching framework for data-based modelling

Europhysics letters, 2014-02, Vol.105 (3), p.30004-p1-30004-p6

2014

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Corrigendum to “Preeclampsia postpartum: Impairment of cerebral autoregulation and reversible cerebral hyperperfusion” [Pregnancy Hypertens. 17 (2019) 121–126]

Pregnancy hypertension, 2020-01, Vol.19, p.246-246

2020

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No long-term impairment of cerebral autoregulation after preeclampsia

Pregnancy hypertension, 2018-07, Vol.13, p.171-173

2018

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On the estimation of the direction of information flow in networks of dynamical systems

Journal of neuroscience methods, 2011-03, Vol.196 (1), p.182-189

2011

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Time-variant estimation of directed influences during Parkinsonian tremor

Journal of physiology, Paris, 2009-11, Vol.103 (6), p.348-352

2009

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Optimized spectral estimation for nonlinear synchronizing systems

Physical review. E, Statistical, nonlinear, and soft matter physics, 2014-03, Vol.89 (3), p.032912-032912, Article 032912

2014

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Estimating causal dependencies in networks of nonlinear stochastic dynamical systems

Physical review. E, Statistical, nonlinear, and soft matter physics, 2009-11, Vol.80 (5 Pt 1), p.051128-051128, Article 051128

2009

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Multivariate analysis of dynamical processes with applications to the neurosciences

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011, Vol.2011, p.5931-5934

2011

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Quantitative assessment of cerebral connectivity deficiency and cognitive impairment in children with prenatal alcohol exposure

Improving network inference: The impact of false positive and false negative conclusions about the presence or absence of links

Impaired dynamic cerebral autoregulation in patients with cerebral amyloid angiopathy

Detection of time-, frequency- and direction-resolved communication within brain networks

Assessing the strength of directed influences among neural signals: An approach to noisy data

A numerically efficient implementation of the expectation maximization algorithm for state space models

Inference of Granger causal time-dependent influences in noisy multivariate time series

Granger causal time-dependent source connectivity in the somatosensory network

Preeclampsia postpartum: Impairment of cerebral autoregulation and reversible cerebral hyperperfusion

Block-bootstrapping for noisy data

Grading of Dynamic Cerebral Autoregulation Without Blood Pressure Recordings: A Simple Doppler-Based Method

Overarching framework for data-based modelling

Corrigendum to “Preeclampsia postpartum: Impairment of cerebral autoregulation and reversible cerebral hyperperfusion” [Pregnancy Hypertens. 17 (2019) 121–126]

No long-term impairment of cerebral autoregulation after preeclampsia

On the estimation of the direction of information flow in networks of dynamical systems

Time-variant estimation of directed influences during Parkinsonian tremor

Optimized spectral estimation for nonlinear synchronizing systems

Estimating causal dependencies in networks of nonlinear stochastic dynamical systems

Multivariate analysis of dynamical processes with applications to the neurosciences

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