Mingxia Liu

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 153

Top Venues

CoRR

Medical Image Anal.

MLMI@MICCAI

IEEE Trans. Medical Imaging

Publications

Lintao Zhang, Mengqi Wu, Lihong Wang, David C. Steffens, Guy G. Potter, Mingxia Liu
Iterative Learning for Joint Image Denoising and Motion Artifact Correction of 3D Brain MRI. CoRR (2024)
Minhui Yu, Mengqi Wu, Ling Yue, Andrea Bozoki, Mingxia Liu
Functional Imaging Constrained Diffusion for Brain PET Synthesis from Structural MRI. CoRR (2024)
Mengqi Wu, Lintao Zhang, Pew-Thian Yap, Hongtu Zhu, Mingxia Liu
Disentangled Latent Energy-Based Style Translation: An Image-Level Structural MRI Harmonization Framework. CoRR (2024)
Qianqian Wang, Wei Wang, Yuqi Fang, Pew-Thian Yap, Hongtu Zhu, Hong-Jun Li, Lishan Qiao, Mingxia Liu
Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI. IEEE Trans. Biomed. Eng. 71 (8) (2024)
Linmin Wang, Qianqian Wang, Xiaochuan Wang, Yunling Ma, Limei Zhang, Mingxia Liu
Triplet-constrained deep hashing for chest X-ray image retrieval in COVID-19 assessment. Neural Networks 173 (2024)
Yuqi Fang, Junhao Zhang, Linmin Wang, Qianqian Wang, Mingxia Liu
ACTION: Augmentation and Computation Toolbox for Brain Network Analysis with Functional MRI. CoRR (2024)
Hao Guan, Pew-Thian Yap, Andrea Bozoki, Mingxia Liu
Federated learning for medical image analysis: A survey. Pattern Recognit. 151 (2024)
Lintao Zhang, Lihong Wang, Minhui Yu, Rong Wu, David C. Steffens, Guy G. Potter, Mingxia Liu
Hybrid representation learning for cognitive diagnosis in late-life depression over 5 years with structural MRI. Medical Image Anal. 94 (2024)
Hao Guan, Mingxia Liu
DomainATM: Domain adaptation toolbox for medical data analysis. NeuroImage 268 (2023)
Linmin Wang, Qianqian Wang, Xiaochuan Wang, Yunling Ma, Lishan Qiao, Mingxia Liu
Triplet Learning for Chest X-Ray Image Search in Automated COVID-19 Analysis. MLMI@MICCAI (2) (2023)
Junhao Zhang, Qianqian Wang, Xiaochuan Wang, Lishan Qiao, Mingxia Liu
Preserving Specificity in Federated Graph Learning for fMRI-based Neurological Disorder Identification. CoRR (2023)
Junhao Zhang, Xiaochuan Wang, Qianqian Wang, Lishan Qiao, Mingxia Liu
Specificity-Aware Federated Graph Learning for Brain Disorder Analysis with Functional MRI. MLMI@MICCAI (2) (2023)
Yuqi Fang, Pew-Thian Yap, Weili Lin, Hongtu Zhu, Mingxia Liu
Source-Free Unsupervised Domain Adaptation: A Survey. CoRR (2023)
Yuqi Fang, Jinjian Wu, Qianqian Wang, Shijun Qiu, Andrea Bozoki, Huaicheng Yan, Mingxia Liu
Source-Free Collaborative Domain Adaptation via Multi-Perspective Feature Enrichment for Functional MRI Analysis. CoRR (2023)
Hao Guan, Mingxia Liu
Federated Learning for Medical Image Analysis: A Survey. CoRR (2023)
Mengqi Wu, Lintao Zhang, Pew-Thian Yap, Weili Lin, Hongtu Zhu, Mingxia Liu
Structural MRI Harmonization via Disentangled Latent Energy-Based Style Translation. MLMI@MICCAI (1) (2023)
Lintao Zhang, Jinjian Wu, Lihong Wang, Li Wang, David C. Steffens, Shijun Qiu, Guy G. Potter, Mingxia Liu
Brain Anatomy Prior Modeling to Forecast Clinical Progression of Cognitive Impairment with Structural MRI. CoRR (2023)
Lintao Zhang, Jinjian Wu, Lihong Wang, Li Wang, David C. Steffens, Shijun Qiu, Guy G. Potter, Mingxia Liu
Brain Anatomy-Guided MRI Analysis for Assessing Clinical Progression of Cognitive Impairment with Structural MRI. MICCAI (8) (2023)
Erkun Yang, Cheng Deng, Mingxia Liu
Deep Bayesian Quantization for Supervised Neuroimage Search. MLMI@MICCAI (2) (2023)
Minhui Yu, Yunbi Liu, Jinjian Wu, Andrea Bozoki, Shijun Qiu, Ling Yue, Mingxia Liu
Hybrid Multimodality Fusion with Cross-Domain Knowledge Transfer to Forecast Progression Trajectories in Cognitive Decline. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI (2023)
Hao Guan, Ling Yue, Pew-Thian Yap, Shifu Xiao, Andrea Bozoki, Mingxia Liu
Attention-Guided Autoencoder for Automated Progression Prediction of Subjective Cognitive Decline With Structural MRI. IEEE J. Biomed. Health Informatics 27 (6) (2023)
Qianqian Wang, Wei Wang, Yuqi Fang, Pew-Thian Yap, Hongtu Zhu, Hong-Jun Li, Lishan Qiao, Mingxia Liu
Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI. CoRR (2023)
Yuqi Fang, Mingliang Wang, Guy G. Potter, Mingxia Liu
Unsupervised cross-domain functional MRI adaptation for automated major depressive disorder identification. Medical Image Anal. 84 (2023)
Shuai Han, Mingxia Liu, Jian-Zhong Li
Efficient Partitioning Method for Optimizing the Compression on Array Data. J. Comput. Sci. Technol. 37 (5) (2022)
Yuqi Fang, Jorge Daniel Oldan, Weili Lin, Travis Parke Schrank, Wendell Gray Yarbrough, Natalia Isaeva, Mingxia Liu
F-FDG PET/CT. MLMI@MICCAI (2022)
Qianqian Wang, Long Li, Lishan Qiao, Mingxia Liu
Adaptive Multimodal Neuroimage Integration for Major Depression Disorder Detection. Frontiers Neuroinformatics 16 (2022)
Chunfeng Lian, Mingxia Liu, Yongsheng Pan, Dinggang Shen
Attention-Guided Hybrid Network for Dementia Diagnosis With Structural MR Images. IEEE Trans. Cybern. 52 (4) (2022)
Zhengdong Wang, Biao Jie, Chunxiang Feng, Taochun Wang, Weixin Bian, Xintao Ding, Wen Zhou, Mingxia Liu
Distribution-Guided Network Thresholding for Functional Connectivity Analysis in fMRI-Based Brain Disorder Identification. IEEE J. Biomed. Health Informatics 26 (4) (2022)
Nan Wang, Dongren Yao, Lizhuang Ma, Mingxia Liu
Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI. Medical Image Anal. 75 (2022)
Yu Zhang, Han Zhang, Ehsan Adeli, Xiaobo Chen, Mingxia Liu, Dinggang Shen
Multiview Feature Learning With Multiatlas-Based Functional Connectivity Networks for MCI Diagnosis. IEEE Trans. Cybern. 52 (7) (2022)
Qianqian Wang, Lishan Qiao, Mingxia Liu
Function MRI Representation Learning via Self-supervised Transformer for Automated Brain Disorder Analysis. MLMI@MICCAI (2022)
Chunfeng Lian, Mingxia Liu, Li Wang, Dinggang Shen
Multi-Task Weakly-Supervised Attention Network for Dementia Status Estimation With Structural MRI. IEEE Trans. Neural Networks Learn. Syst. 33 (8) (2022)
Minhui Yu, Hao Guan, Yuqi Fang, Ling Yue, Mingxia Liu
Domain-Prior-Induced Structural MRI Adaptation for Clinical Progression Prediction of Subjective Cognitive Decline. MICCAI (1) (2022)
Hao Guan, Mingxia Liu
Domain Adaptation for Medical Image Analysis: A Survey. IEEE Trans. Biomed. Eng. 69 (3) (2022)
Hancan Zhu, Mingxia Liu, Zhenyu Tang, Shuai Wang
Editorial: Weakly supervised deep learning-based methods for brain image analysis. Frontiers Neuroinformatics 16 (2022)
Hao Guan, Siyuan Liu, Weili Lin, Pew-Thian Yap, Mingxia Liu
Fast Image-Level MRI Harmonization via Spectrum Analysis. MLMI@MICCAI (2022)
Hao Guan, Ling Yue, Pew-Thian Yap, Andrea Bozoki, Mingxia Liu
Attention-Guided Autoencoder for Automated Progression Prediction of Subjective Cognitive Decline with Structural MRI. CoRR (2022)
Hui Su, Limei Zhang, Lishan Qiao, Mingxia Liu
Estimating high-order brain functional networks by correlation-preserving embedding. Medical Biol. Eng. Comput. 60 (10) (2022)
Hao Guan, Mingxia Liu
DomainATM: Domain Adaptation Toolbox for Medical Data Analysis. CoRR (2022)
Lintao Zhang, Lihong Wang, Minhui Yu, Rong Wu, David C. Steffens, Guy G. Potter, Mingxia Liu
Hybrid Representation Learning for Cognitive Diagnosis in Late-Life Depression Over 5 Years with Structural MRI. CoRR (2022)
Mingliang Wang, Daoqiang Zhang, Jiashuang Huang, Mingxia Liu, Qingshan Liu
Consistent connectome landscape mining for cross-site brain disease identification using functional MRI. Medical Image Anal. 82 (2022)
Lintao Zhang, Minhui Yu, Lihong Wang, David C. Steffens, Rong Wu, Guy G. Potter, Mingxia Liu
Understanding Clinical Progression of Late-Life Depression to Alzheimer's Disease Over 5 Years with Structural MRI. MLMI@MICCAI (2022)
Yunbi Liu, Ling Yue, Shifu Xiao, Wei Yang, Dinggang Shen, Mingxia Liu
Assessing clinical progression from subjective cognitive decline to mild cognitive impairment with incomplete multi-modal neuroimages. Medical Image Anal. 75 (2022)
Hao Guan, Yunbi Liu, Shifu Xiao, Ling Yue, Mingxia Liu
Cost-Sensitive Meta-learning for Progress Prediction of Subjective Cognitive Decline with Brain Structural MRI. MICCAI (5) (2021)
Peng Dong, Biao Jie, Lin Kai, Xintao Ding, Weixin Bian, Mingxia Liu
Integration of Handcrafted and Embedded Features from Functional Connectivity Network with rs-fMRI forBrain Disease Classification. MLMI@MICCAI (2021)
Hao Guan, Li Wang, Mingxia Liu
Multi-Source Domain Adaptation via Optimal Transport for Brain Dementia Identification. ISBI (2021)
Erkun Yang, Lihong Wang, David C. Steffens, Guy G. Potter, Mingxia Liu
Deep Factor Regression For Computer-Aided Analysis of Major Depressive Disorders With Structural MRI Data. ISBI (2021)
Kai Lin, Biao Jie, Peng Dong, Xintao Ding, Weixin Bian, Mingxia Liu
Extracting Sequential Features from Dynamic Connectivity Network with rs-fMRI Data for AD Classification. MLMI@MICCAI (2021)
Hao Guan, Li Wang, Dongren Yao, Andrea Bozoki, Mingxia Liu
Learning Transferable 3D-CNN for MRI-Based Brain Disorder Classification from Scratch: An Empirical Study. MLMI@MICCAI (2021)
Ying Chu, Guangyu Wang, Liang Cao, Lishan Qiao, Mingxia Liu
Multi-Scale Graph Representation Learning for Autism Identification With Functional MRI. Frontiers Neuroinformatics 15 (2021)
Lei Sun, Yanfang Xue, Yining Zhang, Lishan Qiao, Limei Zhang, Mingxia Liu
Estimating sparse functional connectivity networks via hyperparameter-free learning model. Artif. Intell. Medicine 111 (2021)
Shuai Wang, Mingxia Liu, Jun Lian, Dinggang Shen
Boundary Coding Representation for Organ Segmentation in Prostate Cancer Radiotherapy. IEEE Trans. Medical Imaging 40 (1) (2021)
Dongren Yao, Erkun Yang, Hao Guan, Jing Sui, Zhizhong Zhang, Mingxia Liu
Tensor-Based Multi-index Representation Learning for Major Depression Disorder Detection with Resting-State fMRI. MICCAI (5) (2021)
Mingliang Wang, Jiashuang Huang, Mingxia Liu, Daoqiang Zhang
Modeling dynamic characteristics of brain functional connectivity networks using resting-state functional MRI. Medical Image Anal. 71 (2021)
Mengting Xu, Tao Zhang, Zhongnian Li, Mingxia Liu, Daoqiang Zhang
Towards evaluating the robustness of deep diagnostic models by adversarial attack. Medical Image Anal. 69 (2021)
Erkun Yang, Mingxia Liu, Dongren Yao, Bing Cao, Chunfeng Lian, Pew-Thian Yap, Dinggang Shen
Deep Bayesian Hashing With Center Prior for Multi-Modal Neuroimage Retrieval. IEEE Trans. Medical Imaging 40 (2) (2021)
Kelei He, Wei Zhao, Xingzhi Xie, Wen Ji, Mingxia Liu, Zhenyu Tang, Yinghuan Shi, Feng Shi, Yang Gao, Jun Liu, Junfeng Zhang, Dinggang Shen
Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images. Pattern Recognit. 113 (2021)
Dongren Yao, Erkun Yang, Li Sun, Jing Sui, Mingxia Liu
Integrating Multimodal MRIs for Adult ADHD Identification with Heterogeneous Graph Attention Convolutional Network. PRIME@MICCAI (2021)
Hao Guan, Yunbi Liu, Erkun Yang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu
Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification. Medical Image Anal. 71 (2021)
Yunbi Liu, Genggeng Qin, Yun Liu, Mingxia Liu, Wei Yang
Improving Tuberculosis Recognition on Bone-Suppressed Chest X-Rays Guided by Task-Specific Features. PRIME@MICCAI (2021)
Shuai Wang, Yang Cong, Hancan Zhu, Xianyi Chen, Liangqiong Qu, Huijie Fan, Qiang Zhang, Mingxia Liu
Multi-Scale Context-Guided Deep Network for Automated Lesion Segmentation With Endoscopy Images of Gastrointestinal Tract. IEEE J. Biomed. Health Informatics 25 (2) (2021)
Jun Zhang, Mingxia Liu, Ke Lu, Yue Gao
Group-Wise Learning for Aurora Image Classification With Multiple Representations. IEEE Trans. Cybern. 51 (8) (2021)
Dongren Yao, Jing Sui, Mingliang Wang, Erkun Yang, Yeerfan Jiaerken, Na Luo, Pew-Thian Yap, Mingxia Liu, Dinggang Shen
A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity. IEEE Trans. Medical Imaging 40 (4) (2021)
Hao Guan, Mingxia Liu
Domain Adaptation for Medical Image Analysis: A Survey. CoRR (2021)
Jun Zhang, Zhiyuan Hua, Kezhou Yan, Kuan Tian, Jianhua Yao, Eryun Liu, Mingxia Liu, Xiao Han
Joint fully convolutional and graph convolutional networks for weakly-supervised segmentation of pathology images. Medical Image Anal. 73 (2021)
Mengting Xu, Tao Zhang, Zhongnian Li, Mingxia Liu, Daoqiang Zhang
Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack. CoRR (2021)
Zhenyuan Ning, Yu Zhang, Yongsheng Pan, Tao Zhong, Mingxia Liu, Dinggang Shen
LDGAN: Longitudinal-Diagnostic Generative Adversarial Network for Disease Progression Prediction with Missing Structural MRI. MLMI@MICCAI (2020)
Dongren Yao, Jing Sui, Erkun Yang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu
Temporal-Adaptive Graph Convolutional Network for Automated Identification of Major Depressive Disorder Using Resting-State fMRI. MLMI@MICCAI (2020)
Weida Li, Mingxia Liu, Daoqiang Zhang
Nyström Subspace Learning for Large-scale SVMs. CoRR (2020)
Mingliang Wang, Xiaoke Hao, Jiashuang Huang, Kangcheng Wang, Li Shen, Xijia Xu, Daoqiang Zhang, Mingxia Liu
Hierarchical Structured Sparse Learning for Schizophrenia Identification. Neuroinformatics 18 (1) (2020)
Yunbi Liu, Yongsheng Pan, Wei Yang, Zhenyuan Ning, Ling Yue, Mingxia Liu, Dinggang Shen
Joint Neuroimage Synthesis and Representation Learning for Conversion Prediction of Subjective Cognitive Decline. MICCAI (7) (2020)
Tao Zhou, Kim-Han Thung, Mingxia Liu, Feng Shi, Changqing Zhang, Dinggang Shen
Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data. Medical Image Anal. 60 (2020)
Erkun Yang, Dongren Yao, Bing Cao, Hao Guan, Pew-Thian Yap, Dinggang Shen, Mingxia Liu
Deep Disentangled Hashing with Momentum Triplets for Neuroimage Search. MICCAI (1) (2020)
Liang Sun, Wei Shao, Mingliang Wang, Daoqiang Zhang, Mingxia Liu
High-Order Feature Learning for Multi-Atlas Based Label Fusion: Application to Brain Segmentation With MRI. IEEE Trans. Image Process. 29 (2020)
Chunxiang Feng, Biao Jie, Xintao Ding, Daoqiang Zhang, Mingxia Liu
Constructing High-Order Dynamic Functional Connectivity Networks from Resting-State fMRI for Brain Dementia Identification. MLMI@MICCAI (2020)
Li Zhang, Mingliang Wang, Mingxia Liu, Daoqiang Zhang
A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis. CoRR (2020)
Mingliang Wang, Chunfeng Lian, Dongren Yao, Daoqiang Zhang, Mingxia Liu, Dinggang Shen
Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network. IEEE Trans. Biomed. Eng. 67 (8) (2020)
Biao Jie, Mingxia Liu, Chunfeng Lian, Feng Shi, Dinggang Shen
Designing weighted correlation kernels in convolutional neural networks for functional connectivity based brain disease diagnosis. Medical Image Anal. 63 (2020)
Weida Li, Mingxia Liu, Fang Chen, Daoqiang Zhang
Graph-Based Decoding Model for Functional Alignment of Unaligned fMRI Data. AAAI (2020)
Mingxia Liu, Jun Zhang, Chunfeng Lian, Dinggang Shen
Weakly Supervised Deep Learning for Brain Disease Prognosis Using MRI and Incomplete Clinical Scores. IEEE Trans. Cybern. 50 (7) (2020)
Liang Sun, Wei Shao, Daoqiang Zhang, Mingxia Liu
Anatomical Attention Guided Deep Networks for ROI Segmentation of Brain MR Images. IEEE Trans. Medical Imaging 39 (6) (2020)
Jun Zhang, Mingxia Liu, Li Wang, Si Chen, Peng Yuan, Jianfu Li, Steve Guo-Fang Shen, Zhen Tang, Ken-Chung Chen, James J. Xia, Dinggang Shen
Context-guided fully convolutional networks for joint craniomaxillofacial bone segmentation and landmark digitization. Medical Image Anal. 60 (2020)
Hao Guan, Erkun Yang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu
Attention-Guided Deep Domain Adaptation for Brain Dementia Identification with Multi-site Neuroimaging Data. DART/DCL@MICCAI (2020)
Mingliang Wang, Daoqiang Zhang, Jiashuang Huang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu
Identifying Autism Spectrum Disorder With Multi-Site fMRI via Low-Rank Domain Adaptation. IEEE Trans. Medical Imaging 39 (3) (2020)
Yingkun Hou, Jun Xu, Mingxia Liu, Guanghai Liu, Li Liu, Fan Zhu, Ling Shao
NLH: A Blind Pixel-Level Non-Local Method for Real-World Image Denoising. IEEE Trans. Image Process. 29 (2020)
Wei Shao, Sheng-Jun Huang, Mingxia Liu, Daoqiang Zhang
Querying Representative and Informative Super-Pixels for Filament Segmentation in Bioimages. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (4) (2020)
Kelei He, Wei Zhao, Xingzhi Xie, Wen Ji, Mingxia Liu, Zhenyu Tang, Feng Shi, Yang Gao, Jun Liu, Junfeng Zhang, Dinggang Shen
Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images. CoRR (2020)
Hao Guan, Erkun Yang, Li Wang, Pew-Thian Yap, Mingxia Liu, Dinggang Shen
Linking Adolescent Brain MRI to Obesity via Deep Multi-cue Regression Network. MLMI@MICCAI (2020)
Zhenghan Fang, Yong Chen, Mingxia Liu, Lei Xiang, Qian Zhang, Qian Wang, Weili Lin, Dinggang Shen
Erratum to "Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting". IEEE Trans. Medical Imaging 39 (2) (2020)
Yunbi Liu, Mingxia Liu, Yuhua Xi, Genggeng Qin, Dinggang Shen, Wei Yang
Generating Dual-Energy Subtraction Soft-Tissue Images from Chest Radiographs via Bone Edge-Guided GAN. MICCAI (2) (2020)
Chunfeng Lian, Mingxia Liu, Jun Zhang, Dinggang Shen
Hierarchical Fully Convolutional Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI. IEEE Trans. Pattern Anal. Mach. Intell. 42 (4) (2020)
Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Yong Xia, Dinggang Shen
Spatially-Constrained Fisher Representation for Brain Disease Identification With Incomplete Multi-Modal Neuroimages. IEEE Trans. Medical Imaging 39 (9) (2020)
Dongren Yao, Mingxia Liu, Mingliang Wang, Chunfeng Lian, Jie Wei, Li Sun, Jing Sui, Dinggang Shen
Triplet Graph Convolutional Network for Multi-scale Analysis of Functional Connectivity Using Functional MRI. GLMI@MICCAI (2019)
Liang Sun, Chen Zu, Wei Shao, Junye Guang, Daoqiang Zhang, Mingxia Liu
Reliability-based robust multi-atlas label fusion for brain MRI segmentation. Artif. Intell. Medicine 96 (2019)
Jun Zhang, Mingxia Liu, Yi Zhen
Multimedia analysis for medical applications. Multim. Syst. 25 (2) (2019)
Jing Zhang, Mingxia Liu, Yongsheng Pan, Dinggang Shen
Unsupervised Conditional Consensus Adversarial Network for Brain Disease Identification with Structural MRI. MLMI@MICCAI (2019)
Yingkun Hou, Jun Xu, Mingxia Liu, Guanghai Liu, Li Liu, Fan Zhu, Ling Shao
NLH: A Blind Pixel-level Non-local Method for Real-world Image Denoising. CoRR (2019)
Zhengdong Wang, Biao Jie, Mi Wang, Chunxiang Feng, Wen Zhou, Dinggang Shen, Mingxia Liu
Graph-Kernel-Based Multi-task Structured Feature Selection on Multi-level Functional Connectivity Networks for Brain Disease Classification. GLMI@MICCAI (2019)
Mingliang Wang, Jiashuang Huang, Mingxia Liu, Daoqiang Zhang
Functional Connectivity Network Analysis with Discriminative Hub Detection for Brain Disease Identification. AAAI (2019)
Mi Wang, Biao Jie, Weixin Bian, Xintao Ding, Wen Zhou, Zhengdong Wang, Mingxia Liu
Graph-Kernel Based Structured Feature Selection for Brain Disease Classification Using Functional Connectivity Networks. IEEE Access 7 (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mingxia Liu