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Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects

Proceedings of the IEEE, 2015-09, Vol.103 (9), p.1449-1477

2015

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Robust Gaussian Mixture Modeling: A \mathcal-Divergence Based Approach

IEEE transactions on signal processing, 2024, Vol.72, p.3578-3594

2024

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Adaptive Signal Processing: Next Generation Solutions

1. Aufl., 2010

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Linked Component Analysis From Matrices to High-Order Tensors: Applications to Biomedical Data

Proceedings of the IEEE, 2016-02, Vol.104 (2), p.310-331

2016

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A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data

NeuroImage (Orlando, Fla.), 2009-03, Vol.45 (1), p.S163-S172

2009

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Spectral-Spatial Classification of Hyperspectral Images Using ICA and Edge-Preserving Filter via an Ensemble Strategy

IEEE transactions on geoscience and remote sensing, 2016-08, Vol.54 (8), p.4971-4982

2016

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Multimodal Data Fusion Using Source Separation: Two Effective Models Based on ICA and IVA and Their Properties

Proceedings of the IEEE, 2015-09, Vol.103 (9), p.1478-1493

2015

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Extraction of Time-Varying Spatiotemporal Networks Using Parameter-Tuned Constrained IVA

IEEE transactions on medical imaging, 2019-07, Vol.38 (7), p.1715-1725

2019

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Independent Component and Graph Theory Analyses Reveal Normalized Brain Networks on Resting‐State Functional MRI After Working Memory Training in People With HIV

Journal of magnetic resonance imaging, 2023-05, Vol.57 (5), p.1552-1564

2023

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Estimating the number of independent components for functional magnetic resonance imaging data

Human brain mapping, 2007-11, Vol.28 (11), p.1251-1266

2007

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Higher Dimensional Meta-State Analysis Reveals Reduced Resting fMRI Connectivity Dynamism in Schizophrenia Patients

PloS one, 2016-03, Vol.11 (3), p.e0149849-e0149849

2016

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Quantifying the Interaction and Contribution of Multiple Datasets in Fusion: Application to the Detection of Schizophrenia

IEEE transactions on medical imaging, 2017-07, Vol.36 (7), p.1385-1395

2017

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Double Nonstationarity: Blind Extraction of Independent Nonstationary Vector/Component from Nonstationary Mixtures-Performance Analysis

IEEE transactions on signal processing, 2024, Vol.72, p.3228-3241

2024

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Application of Graph Theory to Assess Static and Dynamic Brain Connectivity: Approaches for Building Brain Graphs

Proceedings of the IEEE, 2018-05, Vol.106 (5), p.886-906

2018

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A window‐less approach for capturing time‐varying connectivity in fMRI data reveals the presence of states with variable rates of change

Human brain mapping, 2018-04, Vol.39 (4), p.1626-1636

2018

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Graph-theoretical analysis identifies transient spatial states of resting-state dynamic functional network connectivity and reveals dysconnectivity in schizophrenia

Journal of neuroscience methods, 2021-02, Vol.350, p.109039-109039, Article 109039

2021

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A new blind source separation framework for signal analysis and artifact rejection in functional Near-Infrared Spectroscopy

NeuroImage (Orlando, Fla.), 2019-10, Vol.200, p.72-88

2019

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An Efficient Analytic Solution for Joint Blind Source Separation

IEEE transactions on signal processing, 2024, Vol.72, p.2436-2449

2024

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Feature-Based Fusion of Medical Imaging Data

IEEE journal of biomedical and health informatics, 2009-09, Vol.13 (5), p.711-720

2009

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Unbiased Recursive Least-Squares Estimation Utilizing Dichotomous Coordinate-Descent Iterations

IEEE transactions on signal processing, 2014-06, Vol.62 (11), p.2973-2983

2014

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Likelihood Estimators for Dependent Samples and Their Application to Order Detection

IEEE transactions on signal processing, 2014-08, Vol.62 (16), p.4237-4244

2014

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Robust GMM Parameter Estimation via the K-BM Algorithm

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, p.1-5

2023

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Multidataset Independent Subspace Analysis With Application to Multimodal Fusion

IEEE transactions on image processing, 2021-01, Vol.30, p.588-602

2021

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Multimodal fusion of multiple rest fMRI networks and MRI gray matter via parallel multilink joint ICA reveals highly significant function/structure coupling in Alzheimer's disease

Human brain mapping, 2023-10, Vol.44 (15), p.5167-5179

2023

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Identifying the Relationship Structure Among Multiple Datasets Using Independent Vector Analysis: Application to Multi-Task fMRI Data

IEEE access, 2024, Vol.12, p.109443-109456

2024

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Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects

Robust Gaussian Mixture Modeling: A \mathcal-Divergence Based Approach

Adaptive Signal Processing: Next Generation Solutions

Linked Component Analysis From Matrices to High-Order Tensors: Applications to Biomedical Data

A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data

Spectral-Spatial Classification of Hyperspectral Images Using ICA and Edge-Preserving Filter via an Ensemble Strategy

Multimodal Data Fusion Using Source Separation: Two Effective Models Based on ICA and IVA and Their Properties

Extraction of Time-Varying Spatiotemporal Networks Using Parameter-Tuned Constrained IVA

Independent Component and Graph Theory Analyses Reveal Normalized Brain Networks on Resting‐State Functional MRI After Working Memory Training in People With HIV

Estimating the number of independent components for functional magnetic resonance imaging data

Higher Dimensional Meta-State Analysis Reveals Reduced Resting fMRI Connectivity Dynamism in Schizophrenia Patients

Quantifying the Interaction and Contribution of Multiple Datasets in Fusion: Application to the Detection of Schizophrenia

Double Nonstationarity: Blind Extraction of Independent Nonstationary Vector/Component from Nonstationary Mixtures-Performance Analysis

Application of Graph Theory to Assess Static and Dynamic Brain Connectivity: Approaches for Building Brain Graphs

A window‐less approach for capturing time‐varying connectivity in fMRI data reveals the presence of states with variable rates of change

Graph-theoretical analysis identifies transient spatial states of resting-state dynamic functional network connectivity and reveals dysconnectivity in schizophrenia

A new blind source separation framework for signal analysis and artifact rejection in functional Near-Infrared Spectroscopy

An Efficient Analytic Solution for Joint Blind Source Separation

Feature-Based Fusion of Medical Imaging Data

Unbiased Recursive Least-Squares Estimation Utilizing Dichotomous Coordinate-Descent Iterations

Likelihood Estimators for Dependent Samples and Their Application to Order Detection

Robust GMM Parameter Estimation via the K-BM Algorithm

Multidataset Independent Subspace Analysis With Application to Multimodal Fusion

Multimodal fusion of multiple rest fMRI networks and MRI gray matter via parallel multilink joint ICA reveals highly significant function/structure coupling in Alzheimer's disease

Identifying the Relationship Structure Among Multiple Datasets Using Independent Vector Analysis: Application to Multi-Task fMRI Data

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