Paul J. Laurienti
Orcid: 0000-0001-8871-9658Affiliations:
- Wake Forest University, School of Medicine, Winston-Salem, NC, USA
According to our database1,
Paul J. Laurienti
authored at least 54 papers
between 2000 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Machine Learning on Dynamic Functional Connectivity: Promise, Pitfalls, and Interpretations.
CoRR, 2024
Representing Functional Connectivity with Structural Detour: A New Perspective to Decipher Structure-Function Coupling Mechanism.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2023
Brain Connect., March, 2023
Proceedings of the Information Processing in Medical Imaging, 2023
2022
Learning Brain Dynamics of Evolving Manifold Functional MRI Data Using Geometric-Attention Neural Network.
IEEE Trans. Medical Imaging, 2022
Group-Wise Hub Identification by Learning Common Graph Embeddings on Grassmannian Manifold.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Altered default mode network associated with pesticide exposure in Latinx children from rural farmworker families.
NeuroImage, 2022
Neuro-RDM: An Explainable Neural Network Landscape of Reaction-Diffusion Model for Cognitive Task Recognition.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Learning Common Harmonic Waves on Stiefel Manifold - A New Mathematical Approach for Brain Network Analyses.
IEEE Trans. Medical Imaging, 2021
Learning dynamic graph embeddings for accurate detection of cognitive state changes in functional brain networks.
NeuroImage, 2021
Medical Image Anal., 2021
Embedding Functional Brain Networks in Low Dimensional Spaces Using Manifold Learning Techniques.
Frontiers Neuroinformatics, 2021
Detecting Brain State Changes by Geometric Deep Learning of Functional Dynamics on Riemannian Manifold.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Sliding window correlation analysis: Modulating window shape for dynamic brain connectivity in resting state.
NeuroImage, 2019
Dynamic Functional Magnetic Resonance Imaging Connectivity Tensor Decomposition: A New Approach to Analyze and Interpret Dynamic Brain Connectivity.
Brain Connect., 2019
Constructing Multi-scale Connectome Atlas by Learning Graph Laplacian of Common Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
Dynamic fMRI networks predict success in a behavioral weight loss program among older adults.
NeuroImage, 2018
Proceedings of the Medical Imaging 2018: Image Processing, 2018
GRAND: Unbiased Connectome Atlas of Brain Network by Groupwise Graph Shrinkage and Network Diffusion.
Proceedings of the Connectomics in NeuroImaging - Second International Workshop, 2018
2016
Disentangling Brain Graphs: A Note on the Conflation of Network and Connectivity Analyses.
Brain Connect., 2016
2015
NeuroImage, 2015
2014
Brain Connect., 2014
Age-Related Differences in Advantageous Decision Making Are Associated with Distinct Differences in Functional Community Structure.
Brain Connect., 2014
2013
The Human Functional Brain Network Demonstrates Structural and Dynamical Resilience to Targeted Attack.
PLoS Comput. Biol., 2013
Frontiers Comput. Neurosci., 2013
2012
IEEE Trans. Medical Imaging, 2012
Erratum to "An exponential random graph modeling approach to creating group-based representative whole-brain connectivity networks" [NeuroImage 60/2 (2012) 1117-1126].
NeuroImage, 2012
An exponential random graph modeling approach to creating group-based representative whole-brain connectivity networks.
NeuroImage, 2012
2011
The Brain as a Complex System: Using Network Science as a Tool for Understanding the Brain.
Brain Connect., 2011
2010
Comparison of characteristics between region-and voxel-based network analyses in resting-state fMRI data.
NeuroImage, 2010
Applying capacity analyses to psychophysical evaluation of multisensory interactions.
Inf. Fusion, 2010
2009
Neuroinformatics, 2009
2008
The impact of temporal regularization on estimates of the BOLD hemodynamic response function: A comparative analysis.
NeuroImage, 2008
Resurrecting Brinley Plots for a Novel Use: Meta-Analyses of Functional Brain Imaging Data in Older Adults.
Int. J. Biomed. Imaging, 2008
2007
Power and sample size calculation for neuroimaging studies by non-central random field theory.
NeuroImage, 2007
Biological parametric mapping: A statistical toolbox for multimodality brain image analysis.
NeuroImage, 2007
2006
Estimation of false discovery rates for wavelet-denoised statistical parametric maps.
NeuroImage, 2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
2004
NeuroImage, 2004
2003
An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets.
NeuroImage, 2003
The single-epoch fMRI design: validation of a simplified paradigm for the collection of subjective ratings.
NeuroImage, 2003
2002
2000
Proceedings of the 2000 IEEE International Conference on Multimedia and Expo, 2000