Mingxia Liu

发表

MRI‐based prostate cancer detection with high‐level representation and hierarchical classification

Dinggang Shen, Li Wang, Yulian Zhu, 2017, Medical physics.

Anatomical Attention Guided Deep Networks for ROI Segmentation of Brain MR Images

Liang Sun, Mingxia Liu, Daoqiang Zhang, 2019, IEEE Transactions on Medical Imaging.

Semi-supervised Hierarchical Multimodal Feature and Sample Selection for Alzheimer's Disease Diagnosis

Dinggang Shen, Jun Zhang, Ehsan Adeli, 2016, MICCAI.

Multimodal Multi-label Transfer Learning for Early Diagnosis of Alzheimer's Disease

Daoqiang Zhang, Bo Cheng, Mingxia Liu, 2015, MLMI.

Deep Learning for Fast and Spatially-Constrained Tissue Quantification from Highly-Undersampled Data in Magnetic Resonance Fingerprinting (MRF)

Dinggang Shen, Yong Chen, Mingxia Liu, 2018, MLMI@MICCAI.

Automatic Segmentation of 3D Perivascular Spaces in 7T MR Images Using Multi-Channel Fully Convolutional Network.

Dinggang Shen, Jun Zhang, Chunfeng Lian, 2018, Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.

Human cell structure-driven model construction for predicting protein subcellular location from biological images

Daoqiang Zhang, Mingxia Liu, Wei Shao, 2015, Bioinform..

Pairwise Constraint-Guided Sparse Learning for Feature Selection

Daoqiang Zhang, Mingxia Liu, Daoqiang Zhang, 2016, IEEE Transactions on Cybernetics.

Weakly Supervised Deep Learning for Brain Disease Prognosis Using MRI and Incomplete Clinical Scores

Dinggang Shen, Jun Zhang, Chunfeng Lian, 2020, IEEE Transactions on Cybernetics.

Assuring Process Quality with a Preset Confidence Probability via Quality-Oriented Statistical Tolerancing

Yu Zhang, Mingxia Liu, Musheng Yang, 2007, 2007 International Conference on Wireless Communications, Networking and Mobile Computing.

Joint Craniomaxillofacial Bone Segmentation and Landmark Digitization by Context-Guided Fully Convolutional Networks

Dinggang Shen, Peng Yuan, Jun Zhang, 2017, MICCAI.

Group-Wise Learning for Aurora Image Classification With Multiple Representations

Jun Zhang, Ke Lu, Mingxia Liu, 2019, IEEE Transactions on Cybernetics.

Disease-Image Specific Generative Adversarial Network for Brain Disease Diagnosis with Incomplete Multi-modal Neuroimages

Chunfeng Lian, Mingxia Liu, Yong Xia, 2019, MICCAI.

Dinggang Shen, Xiaofeng Zhu, Han Zhang, 2019, Pattern Recognit..

Learning Attribute Relation in Attribute-Based Zero-Shot Classification

Daoqiang Zhang, Mingxia Liu, Songcan Chen, 2012, IScIDE.

Multiview Feature Learning With Multiatlas-Based Functional Connectivity Networks for MCI Diagnosis

Mingxia Liu, Ehsan Adeli, Yu Zhang, 2020, IEEE Transactions on Cybernetics.

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

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

Grouped pilot reuse for channel estimation in massive MIMO networks

Xiaohu You, Wei Xu, Weiwei Miao, 2016, 2016 8th International Conference on Wireless Communications & Signal Processing (WCSP).

Latent Representation Learning for Alzheimer’s Disease Diagnosis With Incomplete Multi-Modality Neuroimaging and Genetic Data

Dinggang Shen, Kim-Han Thung, Mingxia Liu, 2019, IEEE Transactions on Medical Imaging.

Multi-Domain Transfer Learning for Early Diagnosis of Alzheimer’s Disease

Daoqiang Zhang, Dinggang Shen, Bo Cheng, 2016, Neuroinformatics.

Sub-Network Kernels for Measuring Similarity of Brain Connectivity Networks in Disease Diagnosis

Daoqiang Zhang, Mingxia Liu, Biao Jie, 2018, IEEE Transactions on Image Processing.

Temporally Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease

Daoqiang Zhang, Dinggang Shen, Mingxia Liu, 2017, IEEE Transactions on Biomedical Engineering.

Auroral event representation based on the n-ary fusion of multiple oriented energies

Qian Wang, Jun Zhang, Mingxia Liu, 2017, Neurocomputing.

Sub-network Based Kernels for Brain Network Classification

Daoqiang Zhang, Mingxia Liu, Biao Jie, 2016, BCB.

Landmark‐based deep multi‐instance learning for brain disease diagnosis

Dinggang Shen, Jun Zhang, Ehsan Adeli, 2018, Medical Image Anal..

Attention-Guided Hybrid Network for Dementia Diagnosis With Structural MR Images

Chunfeng Lian, Mingxia Liu, Dinggang Shen, 2020, IEEE Transactions on Cybernetics.

View‐aligned hypergraph learning for Alzheimer's disease diagnosis with incomplete multi‐modality data

Dinggang Shen, Jun Zhang, Mingxia Liu, 2017, Medical Image Anal..

Multi-modal Neuroimaging Data Fusion via Latent Space Learning for Alzheimer's Disease Diagnosis

Dinggang Shen, Kim-Han Thung, Feng Shi, 2018, PRIME@MICCAI.

Attribute relation learning for zero-shot classification

Daoqiang Zhang, Mingxia Liu, Songcan Chen, 2014, Neurocomputing.

Sparsity Score: a Novel Graph-Preserving Feature Selection Method

Daoqiang Zhang, Mingxia Liu, 2014, Int. J. Pattern Recognit. Artif. Intell..

Diagnosis of Alzheimer's Disease Using View-Aligned Hypergraph Learning with Incomplete Multi-modality Data

Dinggang Shen, Jun Zhang, Mingxia Liu, 2016, MICCAI.

Multi-Hypergraph Learning for Incomplete Multimodality Data

Dinggang Shen, Yue Gao, Mingxia Liu, 2018, IEEE Journal of Biomedical and Health Informatics.

Deep Bayesian Hashing With Center Prior for Multi-Modal Neuroimage Retrieval

Chunfeng Lian, Mingxia Liu, Dinggang Shen, 2020, IEEE Transactions on Medical Imaging.

Cost-sensitive feature selection with application in software defect prediction

Daoqiang Zhang, Mingxia Liu, Linsong Miao, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Inter-subject Similarity Guided Brain Network Modeling for MCI Diagnosis

Xiaofeng Zhu, Mingxia Liu, Yu Zhang, 2017, MLMI@MICCAI.

Feature selection with effective distance

Daoqiang Zhang, Mingxia Liu, Daoqiang Zhang, 2016, Neurocomputing.

Integration of temporal and spatial properties of dynamic connectivity networks for automatic diagnosis of brain disease

Dinggang Shen, Mingxia Liu, Biao Jie, 2018, Medical Image Anal..

Anatomy‐guided joint tissue segmentation and topological correction for 6‐month infant brain MRI with risk of autism

Dinggang Shen, Ehsan Adeli, Li Wang, 2018, Human brain mapping.

Ordinal Pattern: A New Descriptor for Brain Connectivity Networks

Daoqiang Zhang, Mingxia Liu, Liyang Tu, 2018, IEEE Transactions on Medical Imaging.

Deep Multi-modal Latent Representation Learning for Automated Dementia Diagnosis

Jun Wang, Ling Shao, Huazhu Fu, 2019, MICCAI.

Landmark-Based Alzheimer's Disease Diagnosis Using Longitudinal Structural MR Images

Yaozong Gao, Dinggang Shen, Jun Zhang, 2016, MCV/BAMBI@MICCAI.

Sparsity Score: A new filter feature selection method based on graph

Daoqiang Zhang, Mingxia Liu, Dan Sun, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Developing Novel Weighted Correlation Kernels for Convolutional Neural Networks to Extract Hierarchical Functional Connectivities from fMRI for Disease Diagnosis

Dinggang Shen, Chunfeng Lian, Feng Shi, 2018, MLMI@MICCAI.

New Approach for Texture Classification Based on Concept

Mingxia Liu, Yingkun Hou, Deyun Yang, 2008, 2008 Congress on Image and Signal Processing.

Multimedia analysis for medical applications

Jun Zhang, Mingxia Liu, Yi Zhen, 2019, Multimedia Systems.

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.

Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis

Dinggang Shen, Han Zhang, Xiaohuan Cao, 2018, MICCAI.

Graph-Kernel Based Structured Feature Selection for Brain Disease Classification Using Functional Connectivity Networks

Zhengdong Wang, Mi Wang, Mingxia Liu, 2019, IEEE Access.

New Algorithm for Texture Classification based on Fisher-Markov Selector

Mingxia Liu, Yingkun Hou, Deyun Yang, 2011 .

End-to-End Dementia Status Prediction from Brain MRI Using Multi-task Weakly-Supervised Attention Network

Chunfeng Lian, Mingxia Liu, Dinggang Shen, 2019, MICCAI.

Erratum to "Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting"

Qian Zhang, Qian Wang, Mingxia Liu, 2020, IEEE Trans. Medical Imaging.

Relationship Induced Multi-atlas Learning for Alzheimer's Disease Diagnosis

Daoqiang Zhang, Mingxia Liu, Dinggang Shen, 2015, MCV@MICCAI.

Joint Binary Classifier Learning for ECOC-Based Multi-Class Classification

Daoqiang Zhang, Mingxia Liu, Hui Xue, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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 regularized sparse feature learning

Liujuan Cao, Jun Zhang, Mingxia Liu, 2017, Neurocomputing.

Boundary Coding Representation for Organ Segmentation in Prostate Cancer Radiotherapy

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

Deep Learning Models with Applications to Brain Image Analysis

Luping Zhou, Mingxia Liu, Dinggang Shen, 2020 .

Novel approach for feature extraction of texture images: Novel approach for feature extraction of texture images

Mingxia Liu, Yingkun Hou, Deyun Yang, 2010 .

Neighborhood-Correction Algorithm for Classification of Normal and Malignant Cells

Mingxia Liu, Yong Xia, Dinggang Shen, 2019, Lecture Notes in Bioengineering.

Inherent Structure-Based Multiview Learning With Multitemplate Feature Representation for Alzheimer's Disease Diagnosis

Daoqiang Zhang, Dinggang Shen, Ehsan Adeli, 2016, IEEE Transactions on Biomedical Engineering.

Energy efficient transmission optimization for distributed-antenna smart grid networks

Wei Xu, Mingxia Liu, Haiyong Wang, 2017, 2017 7th IEEE International Symposium on Microwave, Antenna, Propagation, and EMC Technologies (MAPE).

Detecting Anatomical Landmarks From Limited Medical Imaging Data Using Two-Stage Task-Oriented Deep Neural Networks

Jun Zhang, Mingxia Liu, Dinggang Shen, 2017, IEEE Transactions on Image Processing.

Alzheimer's Disease Diagnosis Using Landmark-Based Features From Longitudinal Structural MR Images

Yaozong Gao, Dinggang Shen, Jun Zhang, 2017, IEEE Journal of Biomedical and Health Informatics.

Anatomical Landmark Based Deep Feature Representation for MR Images in Brain Disease Diagnosis

Dinggang Shen, Jun Zhang, Mingxia Liu, 2018, IEEE Journal of Biomedical and Health Informatics.

Inherent Structure-Guided Multi-view Learning for Alzheimer's Disease and Mild Cognitive Impairment Classification

Daoqiang Zhang, Dinggang Shen, Mingxia Liu, 2015, MLMI.

Early Diagnosis of Autism Disease by Multi-channel CNNs

Dinggang Shen, Li Wang, Mingxia Liu, 2018, MLMI@MICCAI.

Semisubsampled Wavelet Transform Based Image Watermarking with Strong Robustness to Rotation Attacks

Chunxia Zhao, Mingxia Liu, Yingkun Hou, 2010, J. Multim..

Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting

Qian Wang, Mingxia Liu, Yong Chen, 2019, IEEE Transactions on Medical Imaging.

A new approach for texture classification in CBIR

Jing Liu, Shengju Sang, Qi An, 2010, Int. J. Comput. Appl. Technol..

Hierarchical Structured Sparse Learning for Schizophrenia Identification

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

MeshSNet: Deep Multi-scale Mesh Feature Learning for End-to-End Tooth Labeling on 3D Dental Surfaces

Li Wang, Chunfeng Lian, Mingxia Liu, 2019, MICCAI.

Relationship Induced Multi-Template Learning for Diagnosis of Alzheimer’s Disease and Mild Cognitive Impairment

Daoqiang Zhang, Dinggang Shen, Mingxia Liu, 2016, IEEE Transactions on Medical Imaging.

Multimodal media data understanding and analysis

Liujuan Cao, Yi Zhen, Mingxia Liu, 2017, Neurocomputing.

The Nonsubsampled Contourlet-Wavelet Hybrid Transform: Design and Application to Image Watermarking

Chunxia Zhao, Mingxia Liu, Yingkun Hou, 2008, CSSE.

Novel approach for texture retrieval using nonsubsampled Contourlet transform: Novel approach for texture retrieval using nonsubsampled Contourlet transform

Mingxia Liu, Yingkun Hou, Deyun Yang, 2010 .

Synthesizing Missing PET from MRI with Cycle-consistent Generative Adversarial Networks for Alzheimer's Disease Diagnosis

Dinggang Shen, Chunfeng Lian, Mingxia Liu, 2018, MICCAI.

Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings

Pingkun Yan, Chunfeng Lian, Mingxia Liu, 2019, MLMI@MICCAI.

Ordinal Patterns for Connectivity Networks in Brain Disease Diagnosis

Daoqiang Zhang, Mingxia Liu, Biao Jie, 2016, MICCAI.

Two-Stage Cost-Sensitive Learning for Software Defect Prediction

Daoqiang Zhang, Mingxia Liu, Linsong Miao, 2014, IEEE Transactions on Reliability.

Deep Multi-task Multi-channel Learning for Joint Classification and Regression of Brain Status

Dinggang Shen, Jun Zhang, Ehsan Adeli, 2017, MICCAI.

View‐centralized multi‐atlas classification for Alzheimer's disease diagnosis

Daoqiang Zhang, Dinggang Shen, Mingxia Liu, 2015, Human brain mapping.

Multi-Region Correlation Based Functional Brain Network for Disease Diagnosis and Cognitive States Detection

Daoqiang Zhang, Mingxia Liu, Jiuwen Zhu, 2018, IEEE Access.

Image with Less InformationWatermarking Algorithm Based on DWT

Mingxia Liu, Yingkun Hou, Zhu Lili, 2007, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007).

Unsupervised Conditional Consensus Adversarial Network for Brain Disease Identification with Structural MRI

Mingxia Liu, Jing Zhang, Dinggang Shen, 2019, MLMI@MICCAI.

Identification of MCI on Connectivity Networks using Group Lasso

Bo Cheng, Kaizhong Zuo, Mingxia Liu, 2013 .

Multi‐channel multi‐scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images

Dinggang Shen, Jun Zhang, Chunfeng Lian, 2018, Medical Image Anal..

The evolution of business model research: based on a co-word and maximum spanning tree analysis

Wen Chen, Mingxia Liu, Linqing Liu, 2018 .

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.

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

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

Label-aligned multitask feature learning for multimodal classification of Alzheimer ’ s disease and mild cognitive impairment

Dinggang Shen, Chen Zu, Mingxia Liu, 2016 .