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The Brain Alteration of Seafarer Revealed by Activated Functional Connectivity Mode in fMRI Data Analysis

Frontiers in human neuroscience, 2021-04, Vol.15, p.656638-656638

2021

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A schizophrenia study based on multi-frequency dynamic functional connectivity analysis of fMRI

Frontiers in human neuroscience, 2023-05, Vol.17, p.1164685-1164685

2023

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Underwater Target Detection Based on Improved YOLOv7

Journal of marine science and engineering, 2023-03, Vol.11 (3), p.677

2023

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Brain Functional Plasticity Driven by Career Experience: A Resting-State fMRI Study of the Seafarer

Frontiers in psychology, 2017-10, Vol.8, p.1786-1786

2017

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Occupational Neuroplasticity in the Human Brain: A Critical Review and Meta-Analysis of Neuroimaging Studies

Frontiers in human neuroscience, 2020-07, Vol.14, p.215-215

2020

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Editorial: Data-driven clinical biosignatures and treatment for neurodegenerative diseases, volume II

Frontiers in neuroscience, 2024, Vol.18, p.1396702-1396702

2024

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Occupation-modulated language networks and its lateralization: A resting-state fMRI study of seafarers

Frontiers in human neuroscience, 2023-03, Vol.17, p.1095413-1095413

2023

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Functional Covariance Connectivity of Gray and White Matter in Olfactory-Related Brain Regions in Parkinson's Disease

Frontiers in neuroscience, 2022-03, Vol.16, p.853061-853061

2022

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Editorial: Data-driven clinical biosignatures and treatment for neurodegenerative diseases

Frontiers in neuroscience, 2023-03, Vol.17, p.1171788-1171788

2023

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The Patent Foramen Ovale and Migraine: Associated Mechanisms and Perspectives from MRI Evidence

Brain sciences, 2022-07, Vol.12 (7), p.941

2022

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The neural correlates of apathy in the context of aging and brain disorders: a meta-analysis of neuroimaging studies

Frontiers in aging neuroscience, 2023-06, Vol.15, p.1181558-1181558

2023

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CSC-Unet: A Novel Convolutional Sparse Coding Strategy based Neural Network for Semantic Segmentation

IEEE access, 2024-01, Vol.12, p.1-1

2024

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Outcomes and risk factors of perforating and non-perforating middle cerebral artery infarctions after intravenous thrombolysis

Journal of thrombosis and thrombolysis, 2022-04, Vol.53 (3), p.722-730

2022

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RSI-Net: Two-Stream Deep Neural Network for Remote Sensing Images-Based Semantic Segmentation

IEEE access, 2022, Vol.10, p.34858-34871

2022

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Dynamical Complexity Fingerprints of Occupation-Dependent Brain Functional Networks in Professional Seafarers

Frontiers in neuroscience, 2022-03, Vol.16, p.830808-830808

2022

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Olfactory functional covariance connectivity in Parkinson's disease: Evidence from a Chinese population

Frontiers in aging neuroscience, 2023-01, Vol.14, p.1071520-1071520

2023

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A Novel Spectrum Contrast Mapping Method for Functional Magnetic Resonance Imaging Data Analysis

Frontiers in human neuroscience, 2021-09, Vol.15, p.739668-739668

2021

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A Novel Feature-Map Based ICA Model for Identifying the Individual, Intra/Inter-Group Brain Networks across Multiple fMRI Datasets

Frontiers in neuroscience, 2017-09, Vol.11, p.510-510

2017

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Multi-Granularity Whole-Brain Segmentation Based Functional Network Analysis Using Resting-State fMRI

Frontiers in neuroscience, 2018-12, Vol.12, p.942-942

2018

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Application and Evolution for Neural Network and Signal Processing in Large-Scale Systems

Complexity (New York, N.Y.), 2021, Vol.2021, p.1-7

2021

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A Novel Sparse Dictionary Learning Separation (SDLS) Model With Adaptive Dictionary Mutual Incoherence Constraint for fMRI Data Analysis

IEEE transactions on biomedical engineering, 2016-11, Vol.63 (11), p.2376-2389

2016

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A New Constrained Spatiotemporal ICA Method Based on Multi-Objective Optimization for fMRI Data Analysis

IEEE transactions on neural systems and rehabilitation engineering, 2018-09, Vol.26 (9), p.1690-1699

2018

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Earlier second language acquisition is associated with greater neural pattern dissimilarity between the first and second languages

Brain and language, 2020-04, Vol.203, p.104740-104740, Article 104740

2020

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SCGICAR: Spatial concatenation based group ICA with reference for fMRI data analysis

Computer methods and programs in biomedicine, 2017-09, Vol.148, p.137-151

2017

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SACICA: A sparse approximation coefficient-based ICA model for functional magnetic resonance imaging data analysis

Journal of neuroscience methods, 2013-05, Vol.216 (1), p.49-61

2013

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The Brain Alteration of Seafarer Revealed by Activated Functional Connectivity Mode in fMRI Data Analysis

A schizophrenia study based on multi-frequency dynamic functional connectivity analysis of fMRI

Underwater Target Detection Based on Improved YOLOv7

Brain Functional Plasticity Driven by Career Experience: A Resting-State fMRI Study of the Seafarer

Occupational Neuroplasticity in the Human Brain: A Critical Review and Meta-Analysis of Neuroimaging Studies

Editorial: Data-driven clinical biosignatures and treatment for neurodegenerative diseases, volume II

Occupation-modulated language networks and its lateralization: A resting-state fMRI study of seafarers

Functional Covariance Connectivity of Gray and White Matter in Olfactory-Related Brain Regions in Parkinson's Disease

Editorial: Data-driven clinical biosignatures and treatment for neurodegenerative diseases

The Patent Foramen Ovale and Migraine: Associated Mechanisms and Perspectives from MRI Evidence

The neural correlates of apathy in the context of aging and brain disorders: a meta-analysis of neuroimaging studies

CSC-Unet: A Novel Convolutional Sparse Coding Strategy based Neural Network for Semantic Segmentation

Outcomes and risk factors of perforating and non-perforating middle cerebral artery infarctions after intravenous thrombolysis

RSI-Net: Two-Stream Deep Neural Network for Remote Sensing Images-Based Semantic Segmentation

Dynamical Complexity Fingerprints of Occupation-Dependent Brain Functional Networks in Professional Seafarers

Olfactory functional covariance connectivity in Parkinson's disease: Evidence from a Chinese population

A Novel Spectrum Contrast Mapping Method for Functional Magnetic Resonance Imaging Data Analysis

A Novel Feature-Map Based ICA Model for Identifying the Individual, Intra/Inter-Group Brain Networks across Multiple fMRI Datasets

Multi-Granularity Whole-Brain Segmentation Based Functional Network Analysis Using Resting-State fMRI

Application and Evolution for Neural Network and Signal Processing in Large-Scale Systems

A Novel Sparse Dictionary Learning Separation (SDLS) Model With Adaptive Dictionary Mutual Incoherence Constraint for fMRI Data Analysis

A New Constrained Spatiotemporal ICA Method Based on Multi-Objective Optimization for fMRI Data Analysis

Earlier second language acquisition is associated with greater neural pattern dissimilarity between the first and second languages

SCGICAR: Spatial concatenation based group ICA with reference for fMRI data analysis

SACICA: A sparse approximation coefficient-based ICA model for functional magnetic resonance imaging data analysis

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