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Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI data

EBioMedicine, 2019-09, Vol.47, p.543-552

2019

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Multi-scale convolutional recurrent neural network for psychiatric disorder identification in resting-state EEG

Frontiers in psychiatry, 2023-06, Vol.14, p.1202049-1202049

2023

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A fast online questionnaire for screening mental illness symptoms during the COVID-19 pandemic

Translational psychiatry, 2022-08, Vol.12 (1), p.311-6, Article 311

2022

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Altered Effective Brain Connectivity During Habituation in First Episode Schizophrenia With Auditory Verbal Hallucinations: A Dichotic Listening EEG Study

Frontiers in psychiatry, 2022-01, Vol.12, p.731387-731387

2022

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Dr. Chi-Ming Chu： Respected founder of molecular virology and pioneer of biologicals in China

Protein & cell, 2017-09, Vol.8 (9), p.629-633

2017

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Brain imaging-based machine learning in autism spectrum disorder: methods and applications

Journal of neuroscience methods, 2021-09, Vol.361, p.109271-109271, Article 109271

2021

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52. Brain-Wide Risk Score (BRS): Predicting the Risk of Psychiatric Disorders in Adolescents Using a Whole Brain Network-Based Framework

Biological psychiatry (1969), 2023-05, Vol.93 (9), p.S91-S91

2023

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Mapping relationships among schizophrenia, bipolar and schizoaffective disorders: A deep classification and clustering framework using fMRI time series

Schizophrenia research, 2022-07, Vol.245, p.141-150

2022

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Signal peptide replacements enhance expression and secretion of hepatitis C virus envelope glycoproteins

Acta biochimica et biophysica Sinica, 2011-02, Vol.43 (2), p.96-102

2011

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Maximum Classifier Discrepancy Generative Adversarial Network for Jointly Harmonizing Scanner Effects and Improving Reproducibility of Downstream Tasks

IEEE transactions on biomedical engineering, 2024-04, Vol.71 (4), p.1170-1178

2024

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Triple Interactions Between the Environment, Brain, and Behavior in Children: An ABCD Study

Biological psychiatry (1969), 2024-05, Vol.95 (9), p.828-838

2024

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Sleep Deprivation Effects on Brain State Dynamics Are Associated With Dopamine D2 Receptor Availability Via Network Control Theory

Biological psychiatry (1969), 2024-08

2024

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Functional network connectivity (FNC)-based generative adversarial network (GAN) and its applications in classification of mental disorders

Journal of neuroscience methods, 2020-07, Vol.341, p.108756-108756, Article 108756

2020

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An attention-based hybrid deep learning framework integrating brain connectivity and activity of resting-state functional MRI data

Medical image analysis, 2022-05, Vol.78, p.102413-102413, Article 102413

2022

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A Brainwide Risk Score for Psychiatric Disorder Evaluated in a Large Adolescent Population Reveals Increased Divergence Among Higher-Risk Groups Relative to Control Participants

Biological psychiatry (1969), 2024-04, Vol.95 (7), p.699-708

2024

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Discriminating schizophrenia from normal controls using resting state functional network connectivity: A deep neural network and layer-wise relevance propagation method

2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP), 2017, p.1-6

2017

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Disrupted brain state dynamics in opioid and alcohol use disorder: attenuation by nicotine use

Neuropsychopharmacology (New York, N.Y.), 2024-04, Vol.49 (5), p.876-884

2024

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Examining the role of dopamine in methylphenidate's effects on resting brain function

Proceedings of the National Academy of Sciences - PNAS, 2023-12, Vol.120 (52), p.e2314596120

2023

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Deep Chronnectome Learning via Full Bidirectional Long Short-Term Memory Networks for MCI Diagnosis

Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018, Vol.11072, p.249-257

2018

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An Attention-Based Hybrid Deep Learning Framework Integrating Temporal Coherence And Dynamics For Discriminating Schizophrenia

2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021, p.118-121

2021

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Research on the Mechanism of Cross-species Infection and Transmission for Animal-origin Emerging and Re-emerging Zoonosis Has Won Support by the National Key Research and Development Program of China

Bingdu xuebao, 2017-01, Vol.33 (1), p.123

2017

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Predicting individualized intelligence quotient scores using brainnetome-atlas based functional connectivity

2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP), 2017, p.1-6

2017

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Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI dataResearch in context

EBioMedicine, 2019-09, Vol.47, p.543-552

2019

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'Harmless' adversarial network harmonization approach for removing site effects and improving reproducibility in neuroimaging studies

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022, Vol.2022, p.1859-1862

2022

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BNCPL: Brain-Network-based Convolutional Prototype Learning for Discriminating Depressive Disorders

2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, Vol.2021, p.1622-1626

2021

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Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI data

Multi-scale convolutional recurrent neural network for psychiatric disorder identification in resting-state EEG

A fast online questionnaire for screening mental illness symptoms during the COVID-19 pandemic

Altered Effective Brain Connectivity During Habituation in First Episode Schizophrenia With Auditory Verbal Hallucinations: A Dichotic Listening EEG Study

Dr. Chi-Ming Chu： Respected founder of molecular virology and pioneer of biologicals in China

Brain imaging-based machine learning in autism spectrum disorder: methods and applications

52. Brain-Wide Risk Score (BRS): Predicting the Risk of Psychiatric Disorders in Adolescents Using a Whole Brain Network-Based Framework

Mapping relationships among schizophrenia, bipolar and schizoaffective disorders: A deep classification and clustering framework using fMRI time series

Signal peptide replacements enhance expression and secretion of hepatitis C virus envelope glycoproteins

Maximum Classifier Discrepancy Generative Adversarial Network for Jointly Harmonizing Scanner Effects and Improving Reproducibility of Downstream Tasks

Triple Interactions Between the Environment, Brain, and Behavior in Children: An ABCD Study

Sleep Deprivation Effects on Brain State Dynamics Are Associated With Dopamine D2 Receptor Availability Via Network Control Theory

Functional network connectivity (FNC)-based generative adversarial network (GAN) and its applications in classification of mental disorders

An attention-based hybrid deep learning framework integrating brain connectivity and activity of resting-state functional MRI data

A Brainwide Risk Score for Psychiatric Disorder Evaluated in a Large Adolescent Population Reveals Increased Divergence Among Higher-Risk Groups Relative to Control Participants

Discriminating schizophrenia from normal controls using resting state functional network connectivity: A deep neural network and layer-wise relevance propagation method

Disrupted brain state dynamics in opioid and alcohol use disorder: attenuation by nicotine use

Examining the role of dopamine in methylphenidate's effects on resting brain function

Deep Chronnectome Learning via Full Bidirectional Long Short-Term Memory Networks for MCI Diagnosis

An Attention-Based Hybrid Deep Learning Framework Integrating Temporal Coherence And Dynamics For Discriminating Schizophrenia

Research on the Mechanism of Cross-species Infection and Transmission for Animal-origin Emerging and Re-emerging Zoonosis Has Won Support by the National Key Research and Development Program of China

Predicting individualized intelligence quotient scores using brainnetome-atlas based functional connectivity

Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI dataResearch in context

'Harmless' adversarial network harmonization approach for removing site effects and improving reproducibility in neuroimaging studies

BNCPL: Brain-Network-based Convolutional Prototype Learning for Discriminating Depressive Disorders

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