Mingliang Wang

发表

Consistent connectome landscape mining for cross-site brain disease identification using functional MRI

Daoqiang Zhang, Mingxia Liu, Qingshan Liu, 2022, Medical Image Anal..

SD-CNN: A static-dynamic convolutional neural network for functional brain networks

Daoqiang Zhang, Weiping Ding, Hengrong Ju, 2022, Medical Image Anal..

Unsupervised cross-domain functional MRI adaptation for automated major depressive disorder identification

Yuqi Fang, G. Potter, Mingxia Liu, 2023, Medical Image Anal..

A Survey on Deep Learning for Neuroimaging-Based Brain Disorder Analysis

Mingliang Wang, Li Zhang, Mingxia Liu, 2020, Frontiers in Neuroscience.

Identifying Autism Spectrum Disorder With Multi-Site fMRI via Low-Rank Domain Adaptation

Dinggang Shen, Mingliang Wang, Mingxia Liu, 2020, IEEE Transactions on Medical Imaging.

Hierarchical Structured Sparse Learning for Schizophrenia Identification

Daoqiang Zhang, Li Shen, Mingliang Wang, 2019, Neuroinformatics.

Modeling dynamic characteristics of brain functional connectivity networks using resting-state functional MRI

Mingxia Liu, Jiashuang Huang, Daoqiang Zhang, 2021, Medical Image Anal..

High-Order Laplacian Regularized Low-Rank Representation for Multimodal Dementia Diagnosis

D. Shen, Mingxia Liu, Zhigang Li, 2021, Frontiers in Neuroscience.

Coherent Pattern in Multi-Layer Brain Networks: Application to Epilepsy Identification

Daoqiang Zhang, Luping Zhou, Mingliang Wang, 2019, IEEE Journal of Biomedical and Health Informatics.

Multiband decomposition and spectral discriminative analysis for motor imagery BCI via deep neural network

Daoqiang Zhang, Mingliang Wang, Yueying Zhou, 2022, Frontiers Comput. Sci..

Multi‐task exclusive relationship learning for alzheimer’s disease progression prediction with longitudinal data

Daoqiang Zhang, Dinggang Shen, Mingliang Wang, 2019, Medical Image Anal..

Hypergraph based multi-task feature selection for multimodal classification of Alzheimer's disease

Chen Zu, Mingliang Wang, Wei Shao, 2019, Comput. Medical Imaging Graph..

Hierarchical Representation Learning of Dynamic Brain Networks for Schizophrenia Diagnosis

Daoqiang Zhang, Xu Li, Mingliang Wang, 2020, PRCV.

A novel node-level structure embedding and alignment representation of structural networks for brain disease analysis

Mingliang Wang, Biao Jie, Jiashuang Huang, 2020, Medical Image Anal..

A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity

Dinggang Shen, Jing Sui, Mingxia Liu, 2021, IEEE Transactions on Medical Imaging.

Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network

Daoqiang Zhang, Mingliang Wang, Chunfeng Lian, 2019, IEEE Transactions on Biomedical Engineering.

Triplet Graph Convolutional Network for Multi-scale Analysis of Functional Connectivity Using Functional MRI

Jie Wei, Mingliang Wang, Chunfeng Lian, 2019, GLMI@MICCAI.

High-Order Feature Learning for Multi-Atlas Based Label Fusion: Application to Brain Segmentation With MRI

Daoqiang Zhang, Liang Sun, Mingliang Wang, 2019, IEEE Transactions on Image Processing.

Low-Rank Representation for Multi-center Autism Spectrum Disorder Identification

Daoqiang Zhang, Dinggang Shen, Mingxia Liu, 2018, MICCAI.

Functional Connectivity Network Analysis with Discriminative Hub Detection for Brain Disease Identification

Daoqiang Zhang, Mingliang Wang, Mingxia Liu, 2019, AAAI.

Multiband decomposition and spectral discriminative analysis for motor imagery BCI via deep neural network

Daoqiang Zhang, Yueying Zhou, Mingliang Wang, 2022, Frontiers of Computer Science.

Hierarchical Structured Sparse Learning for Schizophrenia Identification

Daoqiang Zhang, Mingxia Liu, Li Shen, 2019, Neuroinformatics.