Xia-an Bi

发表

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

Xia-an Bi, Hao Wu, Yiming Xie, 2020, Brain Imaging and Behavior.

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

Xia-an Bi, Qi Sun, Xia-an Bi, 2018, Front. Physiol..

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

Xia-an Bi, Qi Sun, Xia-an Bi, 2018, Front. Neurosci..

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

Xia-An Bi, Qi Sun, Qing Shu, 2018, PloS one.

BUILDING A PREDICTIVE MODELING SYSTEM FOR SENTENCE CLASSIFICATION : A CASE STUDY USING TARDIVE DYSKINESIA

Cathy H. Wu, Xia-an Bi, Ming Bi, 2012 .

Building a predictive modeling system for sentence classification: a case study using tardive dyskinesia

Xia-an Bi, 2012 .

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

Qian Xu, Zhigang Wang, Xia-an Bi, 2018, Front. Psychiatry.

Using Deep Learning to Detect Motor Impairment in Early Parkinson’s Disease from Touchscreen Typing

Xia-an Bi, Zhi Li, Yan Ma, 2022 .

Analysis of Progression Toward Alzheimer’s Disease Based on Evolutionary Weighted Random Support Vector Machine Cluster

Xia-an Bi, Qian Xu, Qi Sun, 2018, Frontiers in Neuroscience.

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

Qi Sun, Qin Jiang, Yingchao Liu, 2018, Front. Neuroinform..

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

Xi Hu, Yingchao Liu, Yiming Xie, 2020, Bioinform..

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

Yang Wang, Yingchao Liu, Xia-an Bi, 2019, Front. Genet..

Clustering-Evolutionary Random Support Vector Machine Ensemble for fMRI-Based Asperger Syndrome Diagnosis

Xi Hu, Shaoliang Peng, Hao Wu, 2020, Comput. J..

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

Hao Wu, Xi Hu, Yiming Xie, 2020, Medical Image Anal..

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

Qi Sun, Jianhua Dai, Qin Jiang, 2018, Front. Hum. Neurosci..

Classification of Autism Spectrum Disorder Using Random Support Vector Machine Cluster

Yang Wang, Qian Xu, Qi Sun, 2018, Front. Genet..

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

Yang Wang, Hao Wu, Xi Hu, 2020, IEEE Journal of Biomedical and Health Informatics.

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

Yang Wang, Jie Chen, Qi Sun, 2018, Front. Physiol..

Identification of differential brain regions in MCI progression via clustering-evolutionary weighted SVM ensemble algorithm

Xia-an Bi, Yiming Xie, Hao Wu, 2021, Frontiers of Computer Science.

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

Rui Xu, Xia-an Bi, Zhaoxu Xing, 2021, Interdisciplinary Sciences: Computational Life Sciences.

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

Xia-an Bi, Wenyan Zhou, Lou Li, 2021, IEEE Journal of Biomedical and Health Informatics.

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

Rui Xu, Xia-an Bi, Zhaoxu Xing, 2021, Journal of Computer Science and Technology.

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

Jie Chen, Nianyin Zeng, Yingchao Liu, 2019, IEEE Access.

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

Rui Xu, Xia-an Bi, Zhaoxu Xing, 2021, J. Comput. Sci. Technol..