Alexandra Koulouri
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View article: Enhanced Localization and Orientation Estimations in Focal EEG Source Imaging Using SVD-Based Coordinate Transform
Enhanced Localization and Orientation Estimations in Focal EEG Source Imaging Using SVD-Based Coordinate Transform Open
View article: Bayesian model parameter learning in linear inverse problems: application in EEG focal source imaging
Bayesian model parameter learning in linear inverse problems: application in EEG focal source imaging Open
Inverse problems are often described as limited-data problems in which the signal of interest cannot be observed directly. Therefore, a physics-based forward model that relates the signal with the observations is typically needed. Unfortun…
View article: Simulation Study for Numerical Effects of Polarized vs. Non-Polarized Signal Propagation in Radar Tomography of Asteroids
Simulation Study for Numerical Effects of Polarized vs. Non-Polarized Signal Propagation in Radar Tomography of Asteroids Open
Several landmark space missions have focused on characterizing small bodies and advancing planetary defense, including NASA’s DART and ESA’s Rosetta and Hera missions [4]. The DART mission successfully demonstrated kinetic impact as a viab…
View article: Bayesian Model Parameter Learning in Linear Inverse Problems with Application in EEG Focal Source Imaging
Bayesian Model Parameter Learning in Linear Inverse Problems with Application in EEG Focal Source Imaging Open
Inverse problems can be described as limited-data problems in which the signal of interest cannot be observed directly. A physics-based forward model that relates the signal with the observations is typically needed. Unfortunately, unknown…
View article: The Effect of Prior Parameters on Standardized Kalman Filter-Based Eeg Source Localization
The Effect of Prior Parameters on Standardized Kalman Filter-Based Eeg Source Localization Open
View article: Standardized Kalman filtering for dynamical source localization of concurrent subcortical and cortical brain activity
Standardized Kalman filtering for dynamical source localization of concurrent subcortical and cortical brain activity Open
SKF could help study time-evolving brain activities and localize landmarks with a deep contributor or when there is no prior knowledge of evolution.
View article: Multimodal electrical impedance tomography and electroencephalography imaging: Does higher skull conductivity resolution in EIT imaging improve accuracy of EEG source localization?
Multimodal electrical impedance tomography and electroencephalography imaging: Does higher skull conductivity resolution in EIT imaging improve accuracy of EEG source localization? Open
Objective Unknown conductivities of the head tissues, particularly the skull, is a major factor of uncertainty in electroencephalography (EEG) source imaging. Here, we develop a personalized skull conductivity framework aiming to improve t…
View article: Guanylate-binding protein 1 acts as a pro-viral factor for the life cycle of hepatitis C virus
Guanylate-binding protein 1 acts as a pro-viral factor for the life cycle of hepatitis C virus Open
Viral infections trigger the expression of interferons (IFNs) and interferon stimulated genes (ISGs), which are crucial to modulate an antiviral response. The human guanylate binding protein 1 (GBP1) is an ISG and exhibits antiviral activi…
View article: Methodology for the characterisation of the impact of TEC fluctuations and scintillation on ground positioning quality over South America and North Europe, with implications for forecasts
Methodology for the characterisation of the impact of TEC fluctuations and scintillation on ground positioning quality over South America and North Europe, with implications for forecasts Open
A variety of economic sectors rely upon the use of Global Navigation Satellite Systems (GNSS) in areas such as autonomous navigation, timing, land management, oil exploration, precision agriculture, civil aviation. Spatial and temporal gra…
View article: Standardized hierarchical adaptive Lp regression for noise robust focal epilepsy source reconstructions
Standardized hierarchical adaptive Lp regression for noise robust focal epilepsy source reconstructions Open
The proposed standardized methodology, especially when employing the L1-norm, could serve as a valuable assessment tool in surgical decision-making.
View article: Standardized Kalman Filtering for Time Serial Source Localization of Simultaneous Subcortical and Cortical Brain Activity
Standardized Kalman Filtering for Time Serial Source Localization of Simultaneous Subcortical and Cortical Brain Activity Open
In this article, we present a new Bayesian filtering method for non-invasive electroencephalography (EEG) that is capable of reconstructing spatiotemporal brain activity, including both cortical and weakly detectable deep components. Our a…
View article: Standardized Kalman Filtering for Time Serial Source Localization of Simultaneous Subcortical and Cortical Brain Activity
Standardized Kalman Filtering for Time Serial Source Localization of Simultaneous Subcortical and Cortical Brain Activity Open
In this article, we present a new Bayesian filtering method for non-invasive electroencephalography (EEG) that is capable of reconstructing spatiotemporal brain activity, including both cortical and weakly detectable deep components. Our a…
View article: Conditionally Exponential Prior in Focal Near- and Far-Field EEG Source Localization via Randomized Multiresolution Scanning (RAMUS)
Conditionally Exponential Prior in Focal Near- and Far-Field EEG Source Localization via Randomized Multiresolution Scanning (RAMUS) Open
In this paper, we focus on the inverse problem of reconstructing distributional brain activity with cortical and weakly detectable deep components in non-invasive Electroencephalography. We consider a recently introduced hybrid reconstruct…
View article: Real-Time Ionospheric Imaging of S₄ Scintillation From Limited Data With Parallel Kalman Filters and Smoothness
Real-Time Ionospheric Imaging of S₄ Scintillation From Limited Data With Parallel Kalman Filters and Smoothness Open
In this paper, we propose a Bayesian framework to create two dimensional ionospheric images of high spatio-temporal resolution to monitor ionospheric irregularities as measured by the S4 index. Here, we recast the standard Bayesian recursi…
View article: Reconstructing subcortical and cortical somatosensory activity via the RAMUS inverse source analysis technique using median nerve SEP data
Reconstructing subcortical and cortical somatosensory activity via the RAMUS inverse source analysis technique using median nerve SEP data Open
View article: Conditionally Exponential Prior in Focal Near- and Far-Field EEG Source Localization via Randomized Multiresolution Scanning (RAMUS)
Conditionally Exponential Prior in Focal Near- and Far-Field EEG Source Localization via Randomized Multiresolution Scanning (RAMUS) Open
In this paper, we focus on the inverse problem of reconstructing distributional brain activity with cortical and weakly detectable deep components in non-invasive Electroencephalography. In particular, we aim to generalize the previously e…
View article: Real-time Ionospheric Imaging of S4 Scintillation from Limited Data with\n Parallel Kalman Filters and Smoothness
Real-time Ionospheric Imaging of S4 Scintillation from Limited Data with\n Parallel Kalman Filters and Smoothness Open
In this paper, we propose a Bayesian framework to create two dimensional\nionospheric images of high spatio-temporal resolution to monitor ionospheric\nirregularities as measured by the S4 index. Here, we recast the standard\nBayesian recu…
View article: Electrical Impedance Tomography with Box Constraint for Skull Conductivity Estimation
Electrical Impedance Tomography with Box Constraint for Skull Conductivity Estimation Open
View article: Adaptive Superresolution in Deconvolution of Sparse Peaks
Adaptive Superresolution in Deconvolution of Sparse Peaks Open
The aim of this paper is to investigate superresolution in deconvolution driven by sparsity priors. The observed signal is a convolution of an original signal with a continuous kernel.With the prior knowledge that the original signal can b…
View article: Correction to: Methodology to estimate ionospheric scintillation risk maps and their contribution to position dilution of precision on the ground
Correction to: Methodology to estimate ionospheric scintillation risk maps and their contribution to position dilution of precision on the ground Open
Correction to: Journal of Geodesy (2020) 94:22
View article: Randomized Multiresolution Scanning in Focal and Fast E/MEG Sensing of Brain Activity with a Variable Depth
Randomized Multiresolution Scanning in Focal and Fast E/MEG Sensing of Brain Activity with a Variable Depth Open
We focus on electro-/magnetoencephalography imaging of the neural activity and, in particular, finding a robust estimate for the primary current distribution via the hierarchical Bayesian model (HBM). Our aim is to develop a reasonably fas…
View article: Simultaneous Skull Conductivity and Focal Source Imaging from EEG Recordings with the help of Bayesian Uncertainty Modelling
Simultaneous Skull Conductivity and Focal Source Imaging from EEG Recordings with the help of Bayesian Uncertainty Modelling Open
The electroencephalography (EEG) source imaging problem is very sensitive to the electrical modelling of the skull of the patient under examination. Unfortunately, the currently available EEG devices and their embedded software do not take…
View article: Electrical Impedance Tomography with Box Constraint for Skull\n Conductivity Estimation
Electrical Impedance Tomography with Box Constraint for Skull\n Conductivity Estimation Open
Unknown electric conductivities of human tissues is a common issue in medical\nengineering. Electrical impedance tomography (EIT) is an imaging modality that\ncan be used to determine these conductivities in vivo from boundary\nmeasurement…
View article: Position Dilution of Precision: a Bayesian point of view
Position Dilution of Precision: a Bayesian point of view Open
The expected position error in many cases is far from feasible to be estimated experimentally using real satellite measurements which makes the model-based position dilution of precision (PDOP) crucial in positioning and navigation applica…
View article: Bayesian Modelling of Skull Conductivity Uncertainties in EEG Source Imaging
Bayesian Modelling of Skull Conductivity Uncertainties in EEG Source Imaging Open
View article: Prior Variances and Depth Un-Biased Estimators in EEG Focal Source Imaging
Prior Variances and Depth Un-Biased Estimators in EEG Focal Source Imaging Open
View article: Overcoming the ill-posedness through discretization in vector tomography: Reconstruction of irrotational vector fields
Overcoming the ill-posedness through discretization in vector tomography: Reconstruction of irrotational vector fields Open
Vector tomography methods intend to reconstruct and visualize vector fields in restricted domains by measuring line integrals of projections of these vector fields. Here, we deal with the reconstruction of irrotational vector functions fro…
View article: Prior Variances and Depth Un-Biased Estimators in EEG Focal Source Imaging
Prior Variances and Depth Un-Biased Estimators in EEG Focal Source Imaging Open
In electroencephalography (EEG) source imaging, the inverse source estimates are depth biased in such a way that their maxima are often close to the sensors. This depth bias can be quantified by inspecting the statistics (mean and co-varia…
View article: Vector tomography for reconstructing electric fields with non-zero divergence in bounded domains
Vector tomography for reconstructing electric fields with non-zero divergence in bounded domains Open
View article: Compensation of domain modelling errors in the inverse source problem of the Poisson equation: Application in electroencephalographic imaging
Compensation of domain modelling errors in the inverse source problem of the Poisson equation: Application in electroencephalographic imaging Open