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Multimodal Data Analysis of Alzheimer's Disease Based on Clustering Evolutionary Random Forest

IEEE journal of biomedical and health informatics, 2020-10, Vol.24 (10), p.2973-2983

2020

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Detecting Risk Gene and Pathogenic Brain Region in EMCI Using a Novel GERF Algorithm Based on Brain Imaging and Genetic Data

IEEE journal of biomedical and health informatics, 2021-08, Vol.25 (8), p.3019-3028

2021

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Classification of Autism Spectrum Disorder Using Random Support Vector Machine Cluster

Frontiers in genetics, 2018-02, Vol.9, p.18-18

2018

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Structure Mapping Generative Adversarial Network for Multi-View Information Mapping Pattern Mining

IEEE transactions on pattern analysis and machine intelligence, 2024-04, Vol.46 (4), p.2252-2266

2024

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Random support vector machine cluster analysis of resting-state fMRI in Alzheimer's disease

PloS one, 2018-03, Vol.13 (3), p.e0194479-e0194479

2018

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Pathogeny Detection for Mild Cognitive Impairment via Weighted Evolutionary Random Forest With Brain Imaging and Genetic Data

IEEE journal of biomedical and health informatics, 2022-07, Vol.26 (7), p.3068-3079

2022

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IHGC-GAN: influence hypergraph convolutional generative adversarial network for risk prediction of late mild cognitive impairment based on imaging genetic data

Briefings in bioinformatics, 2022-05, Vol.23 (3)

2022

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Feature aggregation graph convolutional network based on imaging genetic data for diagnosis and pathogeny identification of Alzheimer’s disease

Briefings in bioinformatics, 2022-05, Vol.23 (3)

2022

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Abnormal Functional Connectivity of Resting State Network Detection Based on Linear ICA Analysis in Autism Spectrum Disorder

Frontiers in physiology, 2018-05, Vol.9, p.475-475

2018

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The Diagnosis of Autism Spectrum Disorder Based on the Random Neural Network Cluster

Frontiers in human neuroscience, 2018-06, Vol.12, p.257-257

2018

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Hierarchical trie packet classification algorithm based on expectation-maximization clustering

PloS one, 2017-07, Vol.12 (7), p.e0181049-e0181049

2017

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The exploration of Parkinson’s disease: a multi-modal data analysis of resting functional magnetic resonance imaging and gene data

Brain imaging and behavior, 2021-08, Vol.15 (4), p.1986-1996

2021

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Non-linear ICA Analysis of Resting-State fMRI in Mild Cognitive Impairment

Frontiers in neuroscience, 2018-06, Vol.12, p.413-413

2018

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Effective Diagnosis of Alzheimer’s Disease via Multimodal Fusion Analysis Framework

Frontiers in genetics, 2019-10, Vol.10, p.976-976

2019

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Pathogenic Factors Identification of Brain Imaging and Gene in Late Mild Cognitive Impairment

Interdisciplinary sciences : computational life sciences, 2021-09, Vol.13 (3), p.511-520

2021

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Analysis of Alzheimer's Disease Based on the Random Neural Network Cluster in fMRI

Frontiers in neuroinformatics, 2018-09, Vol.12, p.60-60

2018

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Morbigenous brain region and gene detection with a genetically evolved random neural network cluster approach in late mild cognitive impairment

Bioinformatics, 2020-04, Vol.36 (8), p.2561-2568

2020

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Weighted Random Support Vector Machine Clusters Analysis of Resting-State fMRI in Mild Cognitive Impairment

Frontiers in psychiatry, 2018-07, Vol.9, p.340-340

2018

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A novel CERNNE approach for predicting Parkinson’s Disease-associated genes and brain regions based on multimodal imaging genetics data

Medical image analysis, 2021-01, Vol.67, p.101830-101830, Article 101830

2021

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Hypergraph Structural Information Aggregation Generative Adversarial Networks for Diagnosis and Pathogenetic Factors Identification of Alzheimer's Disease With Imaging Genetic Data

IEEE transaction on neural networks and learning systems, 2024-06, Vol.35 (6), p.7420-7434

2024

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Analysis of Asperger Syndrome Using Genetic-Evolutionary Random Support Vector Machine Cluster

Frontiers in physiology, 2018-11, Vol.9, p.1646-1646

2018

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An Efficient WRF Framework for Discovering Risk Genes and Abnormal Brain Regions in Parkinson’s Disease Based on Imaging Genetics Data

Journal of computer science and technology, 2021-04, Vol.36 (2), p.361-374

2021

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The Genetic-Evolutionary Random Support Vector Machine Cluster Analysis in Autism Spectrum Disorder

IEEE access, 2019, Vol.7, p.30527-30535

2019

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Explainable and programmable hypergraph convolutional network for imaging genetics data fusion

Information fusion, 2023-12, Vol.100, p.101950, Article 101950

2023

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A novel generation adversarial network framework with characteristics aggregation and diffusion for brain disease classification and feature selection

Briefings in bioinformatics, 2022-11, Vol.23 (6)

2022

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Multimodal Data Analysis of Alzheimer's Disease Based on Clustering Evolutionary Random Forest

Detecting Risk Gene and Pathogenic Brain Region in EMCI Using a Novel GERF Algorithm Based on Brain Imaging and Genetic Data

Classification of Autism Spectrum Disorder Using Random Support Vector Machine Cluster

Structure Mapping Generative Adversarial Network for Multi-View Information Mapping Pattern Mining

Random support vector machine cluster analysis of resting-state fMRI in Alzheimer's disease

Pathogeny Detection for Mild Cognitive Impairment via Weighted Evolutionary Random Forest With Brain Imaging and Genetic Data

IHGC-GAN: influence hypergraph convolutional generative adversarial network for risk prediction of late mild cognitive impairment based on imaging genetic data

Feature aggregation graph convolutional network based on imaging genetic data for diagnosis and pathogeny identification of Alzheimer’s disease

Abnormal Functional Connectivity of Resting State Network Detection Based on Linear ICA Analysis in Autism Spectrum Disorder

The Diagnosis of Autism Spectrum Disorder Based on the Random Neural Network Cluster

Hierarchical trie packet classification algorithm based on expectation-maximization clustering

The exploration of Parkinson’s disease: a multi-modal data analysis of resting functional magnetic resonance imaging and gene data

Non-linear ICA Analysis of Resting-State fMRI in Mild Cognitive Impairment

Effective Diagnosis of Alzheimer’s Disease via Multimodal Fusion Analysis Framework

Pathogenic Factors Identification of Brain Imaging and Gene in Late Mild Cognitive Impairment

Analysis of Alzheimer's Disease Based on the Random Neural Network Cluster in fMRI

Morbigenous brain region and gene detection with a genetically evolved random neural network cluster approach in late mild cognitive impairment

Weighted Random Support Vector Machine Clusters Analysis of Resting-State fMRI in Mild Cognitive Impairment

A novel CERNNE approach for predicting Parkinson’s Disease-associated genes and brain regions based on multimodal imaging genetics data

Hypergraph Structural Information Aggregation Generative Adversarial Networks for Diagnosis and Pathogenetic Factors Identification of Alzheimer's Disease With Imaging Genetic Data

Analysis of Asperger Syndrome Using Genetic-Evolutionary Random Support Vector Machine Cluster

An Efficient WRF Framework for Discovering Risk Genes and Abnormal Brain Regions in Parkinson’s Disease Based on Imaging Genetics Data

The Genetic-Evolutionary Random Support Vector Machine Cluster Analysis in Autism Spectrum Disorder

Explainable and programmable hypergraph convolutional network for imaging genetics data fusion

A novel generation adversarial network framework with characteristics aggregation and diffusion for brain disease classification and feature selection

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