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Exploring the Intrinsic Features of EEG Signals via Empirical Mode Decomposition for Depression Recognition

IEEE transactions on neural systems and rehabilitation engineering, 2023, Vol.31, p.356-365

2023

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Risk Prediction of Alzheimer's Disease Conversion in Mild Cognitive Impaired Population Based on Brain Age Estimation

IEEE transactions on neural systems and rehabilitation engineering, 2023, Vol.31, p.2468-2476

2023

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Estimating Functional Brain Networks by Low-Rank Representation With Local Constraint

IEEE transactions on neural systems and rehabilitation engineering, 2024, Vol.32, p.684-695

2024

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Exploring Brain Age Calculation Models Available for Alzheimer's Disease

北京理工大学学报（英文版）, 2023-04, Vol.32 (2), p.181-187

2023

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Conflict processing networks: A directional analysis of stimulus-response compatibilities using MEG

PloS one, 2021-02, Vol.16 (2), p.e0247408-e0247408

2021

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Predicting Brain Amyloid Using Multivariate Morphometry Statistics, Sparse Coding, and Correntropy: Validation in 1,101 Individuals From the ADNI and OASIS Databases

Frontiers in neuroscience, 2021-08, Vol.15, p.669595-669595

2021

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Federated Morphometry Feature Selection for Hippocampal Morphometry Associated Beta-Amyloid and Tau Pathology

Frontiers in neuroscience, 2021-11, Vol.15, p.762458-762458

2021

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Applying surface-based hippocampal morphometry to study APOE-E4 allele dose effects in cognitively unimpaired subjects

NeuroImage clinical, 2019-01, Vol.22, p.101744-101744, Article 101744

2019

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Psychological Field Versus Physiological Field: From Qualitative Analysis to Quantitative Modeling of the Mental Status

IEEE transactions on computational social systems, 2022-10, Vol.9 (5), p.1275-1281

2022

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Applying surface-based morphometry to study ventricular abnormalities of cognitively unimpaired subjects prior to clinically significant memory decline

NeuroImage clinical, 2020-01, Vol.27, p.102338-102338, Article 102338

2020

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Learning Representations from Heart Sound: A Comparative Study on Shallow and Deep Models

Cyborg and bionic systems, 2024, Vol.5, p.0075-0075

2024

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Every individual makes a difference: A trinity derived from linking individual brain morphometry, connectivity and mentalising ability

Human brain mapping, 2023-06, Vol.44 (8), p.3343-3358

2023

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A Multiview Brain Network Transformer Fusing Individualized Information for Autism Spectrum Disorder Diagnosis

IEEE journal of biomedical and health informatics, 2024-08, Vol.28 (8), p.4854-4865

2024

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An FFT-Based DC Offset Compensation and I/Q Imbalance Correction Algorithm for Bioradar Sensors

IEEE transactions on microwave theory and techniques, 2024-03, Vol.72 (3), p.1900-1910

2024

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Depression Recognition From EEG Signals Using an Adaptive Channel Fusion Method Via Improved Focal Loss

IEEE journal of biomedical and health informatics, 2023-07, Vol.27 (7), p.1-12

2023

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Deep Fusion of Multi-Template using Spatio-Temporal Weighted Multi-Hypergraph Convolutional Networks for Brain Disease Analysis

IEEE transactions on medical imaging, 2024-02, Vol.43 (2), p.1-1

2024

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Effective hyper-connectivity network construction and learning: Application to major depressive disorder identification

Computers in biology and medicine, 2024-03, Vol.171, p.108069-108069, Article 108069

2024

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Resting-state dynamic functional connectivity in major depressive disorder: A systematic review

Progress in neuro-psychopharmacology & biological psychiatry, 2024-12, Vol.135, p.111076, Article 111076

2024

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Design and Implementation of Electroacupuncture: A Study of Prefrontal EEG Characteristics Under taVNS

IEEE sensors journal, 2024-08, p.1-1

2024

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Classification of Alzheimer's disease based on hippocampal multivariate morphometry statistics

CNS neuroscience & therapeutics, 2023-09, Vol.29 (9), p.2457-2468

2023

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Clustering-Fusion Feature Selection Method in Identifying Major Depressive Disorder Based on Resting State EEG Signals

IEEE journal of biomedical and health informatics, 2023-07, Vol.27 (7), p.1-12

2023

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The Three-Lead EEG Sensor: Introducing an EEG-Assisted Depression Diagnosis System Based on Ant Lion Optimization

IEEE transactions on biomedical circuits and systems, 2023-12, Vol.17 (6), p.1305-1318

2023

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Fine‐grained features characterize hippocampal and amygdaloid change pattern in Parkinson's disease and discriminate cognitive‐deficit subtype

CNS neuroscience & therapeutics, 2024-01, Vol.30 (1), p.e14480-n/a

2024

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Effective brain network analysis with resting-state EEG data: a comparison between heroin abstinent and non-addicted subjects

Journal of neural engineering, 2017-08, Vol.14 (4), p.046002-046002

2017

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Fundamentals of Computational Psychophysiology: Theory and Methodology

IEEE transactions on computational social systems, 2022-04, Vol.9 (2), p.349-355

2022

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Exploring the Intrinsic Features of EEG Signals via Empirical Mode Decomposition for Depression Recognition

Risk Prediction of Alzheimer's Disease Conversion in Mild Cognitive Impaired Population Based on Brain Age Estimation

Estimating Functional Brain Networks by Low-Rank Representation With Local Constraint

Exploring Brain Age Calculation Models Available for Alzheimer's Disease

Conflict processing networks: A directional analysis of stimulus-response compatibilities using MEG

Predicting Brain Amyloid Using Multivariate Morphometry Statistics, Sparse Coding, and Correntropy: Validation in 1,101 Individuals From the ADNI and OASIS Databases

Federated Morphometry Feature Selection for Hippocampal Morphometry Associated Beta-Amyloid and Tau Pathology

Applying surface-based hippocampal morphometry to study APOE-E4 allele dose effects in cognitively unimpaired subjects

Psychological Field Versus Physiological Field: From Qualitative Analysis to Quantitative Modeling of the Mental Status

Applying surface-based morphometry to study ventricular abnormalities of cognitively unimpaired subjects prior to clinically significant memory decline

Learning Representations from Heart Sound: A Comparative Study on Shallow and Deep Models

Every individual makes a difference: A trinity derived from linking individual brain morphometry, connectivity and mentalising ability

A Multiview Brain Network Transformer Fusing Individualized Information for Autism Spectrum Disorder Diagnosis

An FFT-Based DC Offset Compensation and I/Q Imbalance Correction Algorithm for Bioradar Sensors

Depression Recognition From EEG Signals Using an Adaptive Channel Fusion Method Via Improved Focal Loss

Deep Fusion of Multi-Template using Spatio-Temporal Weighted Multi-Hypergraph Convolutional Networks for Brain Disease Analysis

Effective hyper-connectivity network construction and learning: Application to major depressive disorder identification

Resting-state dynamic functional connectivity in major depressive disorder: A systematic review

Design and Implementation of Electroacupuncture: A Study of Prefrontal EEG Characteristics Under taVNS

Classification of Alzheimer's disease based on hippocampal multivariate morphometry statistics

Clustering-Fusion Feature Selection Method in Identifying Major Depressive Disorder Based on Resting State EEG Signals

The Three-Lead EEG Sensor: Introducing an EEG-Assisted Depression Diagnosis System Based on Ant Lion Optimization

Fine‐grained features characterize hippocampal and amygdaloid change pattern in Parkinson's disease and discriminate cognitive‐deficit subtype

Effective brain network analysis with resting-state EEG data: a comparison between heroin abstinent and non-addicted subjects

Fundamentals of Computational Psychophysiology: Theory and Methodology

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