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A Multi-Domain Connectome Convolutional Neural Network for Identifying Schizophrenia From EEG Connectivity Patterns

IEEE journal of biomedical and health informatics, 2020-05, Vol.24 (5), p.1333-1343

2020

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Statistical models for brain signals with properties that evolve across trials

NeuroImage (Orlando, Fla.), 2018-10, Vol.180 (Pt B), p.609-618

2018

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Detecting Dynamic Community Structure in Functional Brain Networks Across Individuals: A Multilayer Approach

IEEE transactions on medical imaging, 2021-02, Vol.40 (2), p.468-480

2021

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Estimating Dynamic Connectivity States in fMRI Using Regime-Switching Factor Models

IEEE transactions on medical imaging, 2018-04, Vol.37 (4), p.1011-1023

2018

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Modeling Effective Connectivity in High-Dimensional Cortical Source Signals

IEEE journal of selected topics in signal processing, 2016-10, Vol.10 (7), p.1315-1325

2016

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A Unified Estimation Framework for State-Related Changes in Effective Brain Connectivity

IEEE transactions on biomedical engineering, 2017-04, Vol.64 (4), p.844-858

2017

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A Markov-Switching Model Approach to Heart Sound Segmentation and Classification

IEEE journal of biomedical and health informatics, 2020-03, Vol.24 (3), p.705-716

2020

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Separating Stimulus-Induced and Background Components of Dynamic Functional Connectivity in Naturalistic fMRI

IEEE transactions on medical imaging, 2022-06, Vol.41 (6), p.1431-1442

2022

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Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification

IEEE journal of biomedical and health informatics, 2024-03, Vol.28 (3), p.1644-1655

2024

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Estimating Effective Connectivity from fMRI Data Using Factor-based Subspace Autoregressive Models

IEEE signal processing letters, 2015-06, Vol.22 (6), p.757-761

2015

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Markov-switching state-space models with applications to neuroimaging

Computational statistics & data analysis, 2022-10, Vol.174, p.107525, Article 107525

2022

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A Unified Framework for Static and Dynamic Functional Connectivity Augmentation for Multi-Domain Brain Disorder Classification

2023 IEEE International Conference on Image Processing (ICIP), 2023, p.635-639

2023

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Graph Autoencoder-Based Embedded Learning in Dynamic Brain Networks for Autism Spectrum Disorder Identification

2022 IEEE International Conference on Image Processing (ICIP), 2022, p.2891-2895

2022

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Robust Facial Expression Recognition for MuCI: A Comprehensive Neuromuscular Signal Analysis

IEEE transactions on affective computing, 2018-01, Vol.9 (1), p.102-115

2018

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ASF-YOLO: A novel YOLO model with attentional scale sequence fusion for cell instance segmentation

Image and vision computing, 2024-07, Vol.147, p.105057, Article 105057

2024

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Multi-Scale Factor Analysis of High-Dimensional Functional Connectivity in Brain Networks

IEEE transactions on network science and engineering, 2020-01, Vol.7 (1), p.449-465

2020

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Artifact Removal from Single-Trial ERPs using Non-Gaussian Stochastic Volatility Models and Particle Filter

IEEE signal processing letters, 2014-08, Vol.21 (8), p.923-927

2014

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Short-segment Heart Sound Classification Using an Ensemble of Deep Convolutional Neural Networks

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, p.1318-1322

2019

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Clinical interpretations of the effectiveness of changes in body position during aerobic fitness after neurologic injury

Journal of integrative neuroscience, 2020-09, Vol.19 (3), p.479-487

2020

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Spectral Estimation of Nonstationary EEG Using Particle Filtering With Application to Event-Related Desynchronization (ERD)

IEEE transactions on biomedical engineering, 2011-02, Vol.58 (2), p.321-331

2011

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Estimation of stochastic volatility with long memory for index prices of FTSE Bursa Malaysia KLCI

AIP Conference Proceedings, 2015, Vol.1643 (1), p.79

2015

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Statistical model for dynamically-changing correlation matrices with application to brain connectivity

Journal of neuroscience methods, 2020-02, Vol.331, p.108480-108480, Article 108480

2020

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Acoustic cardiac signals analysis: a Kalman filter-based approach

International journal of nanomedicine, 2012-01, Vol.7, p.2873-2881

2012

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Is First-Order Vector Autoregressive Model Optimal for fMRI Data?

Neural computation, 2015-09, Vol.27 (9), p.1857-1871

2015

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fMRI hemodynamic response function estimation in autoregressive noise by avoiding the drift

Digital signal processing, 2017-07, Vol.66, p.29-41

2017

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A Multi-Domain Connectome Convolutional Neural Network for Identifying Schizophrenia From EEG Connectivity Patterns

Statistical models for brain signals with properties that evolve across trials

Detecting Dynamic Community Structure in Functional Brain Networks Across Individuals: A Multilayer Approach

Estimating Dynamic Connectivity States in fMRI Using Regime-Switching Factor Models

Modeling Effective Connectivity in High-Dimensional Cortical Source Signals

A Unified Estimation Framework for State-Related Changes in Effective Brain Connectivity

A Markov-Switching Model Approach to Heart Sound Segmentation and Classification

Separating Stimulus-Induced and Background Components of Dynamic Functional Connectivity in Naturalistic fMRI

Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification

Estimating Effective Connectivity from fMRI Data Using Factor-based Subspace Autoregressive Models

Markov-switching state-space models with applications to neuroimaging

A Unified Framework for Static and Dynamic Functional Connectivity Augmentation for Multi-Domain Brain Disorder Classification

Graph Autoencoder-Based Embedded Learning in Dynamic Brain Networks for Autism Spectrum Disorder Identification

Robust Facial Expression Recognition for MuCI: A Comprehensive Neuromuscular Signal Analysis

ASF-YOLO: A novel YOLO model with attentional scale sequence fusion for cell instance segmentation

Multi-Scale Factor Analysis of High-Dimensional Functional Connectivity in Brain Networks

Artifact Removal from Single-Trial ERPs using Non-Gaussian Stochastic Volatility Models and Particle Filter

Short-segment Heart Sound Classification Using an Ensemble of Deep Convolutional Neural Networks

Clinical interpretations of the effectiveness of changes in body position during aerobic fitness after neurologic injury

Spectral Estimation of Nonstationary EEG Using Particle Filtering With Application to Event-Related Desynchronization (ERD)

Estimation of stochastic volatility with long memory for index prices of FTSE Bursa Malaysia KLCI

Statistical model for dynamically-changing correlation matrices with application to brain connectivity

Acoustic cardiac signals analysis: a Kalman filter-based approach

Is First-Order Vector Autoregressive Model Optimal for fMRI Data?

fMRI hemodynamic response function estimation in autoregressive noise by avoiding the drift

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