Estimated generalized least squares electromagnetic source analysis based on a parametric noise covariance model [EEG/MEG]. - Lourens J. Waldorp; Hilde M. Huizenga; Conor V. Dolan; Peter C. M. Molenaar (IEEE Trans. Biomed. Eng., 2001)

Spatiotemporal EEG/MEG source analysis based on a parametric noise covariance model. - Hilde M. Huizenga; Jan C. de Munck; Lourens J. Waldorp; Raoul P. P. P. Grasman (IEEE Trans. Biomed. Eng., 2002)

Model selection in electromagnetic source analysis with an application to VEFs. - Lourens J. Waldorp; Hilde M. Huizenga; Raoul P. P. P. Grasman; Koen B. E. Böcker; Jan C. de Munck; Peter C. M. Molenaar (IEEE Trans. Biomed. Eng., 2002)

Estimating stationary dipoles from MEG/EEG data contaminated with spatially and temporally correlated background noise. - Jan C. de Munck; Hilde M. Huizenga; Lourens J. Waldorp; Rob M. Heethaar (IEEE Trans. Signal Process., 2002)

Frequency domain simultaneous source and source coherence estimation with an application to MEG. - Raoul P. P. P. Grasman; Hilde M. Huizenga; Lourens J. Waldorp; Koen B. E. Böcker; Peter C. M. Molenaar (IEEE Trans. Biomed. Eng., 2004)

Stochastic maximum likelihood mean and cross-spectrum structure modelling in neuro-magnetic source estimation. - Raoul P. P. P. Grasman; Hilde M. Huizenga; Lourens J. Waldorp; Peter C. M. Molenaar; Koen B. E. Böcker (Digit. Signal Process., 2005)

Model selection in spatio-temporal electromagnetic source analysis. - Lourens J. Waldorp; Hilde M. Huizenga; Arye Nehorai; Raoul P. P. P. Grasman; Peter C. M. Molenaar (IEEE Trans. Biomed. Eng., 2005)

The Wald test and Cramér-Rao bound for misspecified models in electromagnetic source analysis. - Lourens J. Waldorp; Hilde M. Huizenga; Raoul P. P. P. Grasman (IEEE Trans. Signal Process., 2005)

Robust and Unbiased Variance of GLM Coefficients for Misspecified Autocorrelation and Hemodynamic Response Models in fMRI. - Lourens J. Waldorp (Int. J. Biomed. Imaging, 2009)

Effective connectivity of fMRI data using ancestral graph theory: Dealing with missing regions. - Lourens J. Waldorp; Ingrid Christoffels; Vincent van de Ven (NeuroImage, 2011)

Functional connectivity analysis of fMRI data using parameterized regions-of-interest. - Wouter D. Weeda; Lourens J. Waldorp; Raoul P. P. P. Grasman; Simon van Gaal; Hilde M. Huizenga (NeuroImage, 2011)

Matching Structural, Effective, and Functional Connectivity: A Comparison Between Structural Equation Modeling and Ancestral Graphs. - Laura F. Bringmann; H. Steven Scholte; Lourens J. Waldorp (Brain Connect., 2013)

Fast and accurate modelling of longitudinal and repeated measures neuroimaging data. - Bryan Guillaume; Xue Hua; Paul M. Thompson; Lourens J. Waldorp; Thomas E. Nichols (NeuroImage, 2014)

Computing Assortative Mixing by Degree with the s-Metric in Networks Using Linear Programming. - Lourens J. Waldorp; Verena D. Schmittmann (J. Appl. Math., 2015)

Visual Information Shapes the Dynamics of Corticobasal Ganglia Pathways during Response Selection and Inhibition. - Sara Jahfari; Lourens J. Waldorp; K. Richard Ridderinkhof; H. Steven Scholte (J. Cogn. Neurosci., 2015)

A focused information criterion for graphical models. - Eugen Pircalabelu; Gerda Claeskens; Lourens J. Waldorp (Stat. Comput., 2015)

Network Structure Explains the Impact of Attitudes on Voting Decisions. - Jonas Dalege; Denny Borsboom; Frenk van Harreveld; Lourens J. Waldorp; Han L. J. van der Maas (CoRR, 2017)

Are individual differences quantitative or qualitative? An integrated behavioral and fMRI MIMIC approach. - Jacqueline N. Zadelaar; Wouter D. Weeda; Lourens J. Waldorp; Anna C. K. van Duijvenvoorde; Neeltje E. Blankenstein; Hilde M. Huizenga (NeuroImage, 2019)

The polarization within and across individuals: the hierarchical Ising opinion model. - Han L. J. van der Maas; Jonas Dalege; Lourens J. Waldorp (J. Complex Networks, 2020)

Hippocampus plays a role in speech feedback processing. - Vincent van de Ven; Lourens J. Waldorp; Ingrid Christoffels (NeuroImage, 2020)

Using Explainable Boosting Machine to Compare Idiographic and Nomothetic Approaches for Ecological Momentary Assessment Data. - Mandani Ntekouli; Gerasimos Spanakis; Lourens J. Waldorp; Anne Roefs (IDA, 2022)

Clustering individuals based on multivariate EMA time-series data. - Mandani Ntekouli; Gerasimos Spanakis; Lourens J. Waldorp; Anne Roefs (CoRR, 2022)

Model-based Clustering of Individuals' Ecological Momentary Assessment Time-series Data for Improving Forecasting Performance. - Mandani Ntekouli; Gerasimos Spanakis; Lourens J. Waldorp; Anne Roefs (CoRR, 2023)

Exploiting Individual Graph Structures to Enhance Ecological Momentary Assessment (EMA) Forecasting. - Mandani Ntekouli; Gerasimos Spanakis; Lourens J. Waldorp; Anne Roefs (ICDEW, 2024)

Explaining Clustering of Ecological Momentary Assessment Data Through Temporal and Feature Attention. - Mandani Ntekouli; Gerasimos Spanakis; Lourens J. Waldorp; Anne Roefs (xAI (2), 2024)