Mingxia Liu

发表

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.

Domain Transfer Learning for MCI Conversion Prediction

Daoqiang Zhang, D. Shen, B. Munsell, 2015, IEEE Transactions on Biomedical Engineering.

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.

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

Dinggang Shen, Chen Zu, Mingxia Liu, 2016 .

Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification

Dinggang Shen, Pew-Thian Yap, Erkun Yang, 2021, Medical Image Anal..

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.

DomainATM: Domain adaptation toolbox for medical data analysis

Mingxia Liu, Hao Guan, Hao Guan, 2022, NeuroImage.

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

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

Source-Free Unsupervised Domain Adaptation: A Survey

P. Yap, Hongtu Zhu, Yuqi Fang, 2022, Neural Networks.

Hypergraph regularized sparse feature learning

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

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.

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

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

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.

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

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

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..

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.

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

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

Domain Adaptation for Medical Image Analysis: A Survey

Hao Guan, Mingxia Liu, Mingxia Liu, 2021, IEEE Transactions on Biomedical Engineering.

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.

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

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

Hierarchical Structured Sparse Learning for Schizophrenia Identification

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

Sub-network Based Kernels for Brain Network Classification

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

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.

Multi-Hypergraph Learning for Incomplete Multimodality Data

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

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

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

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

Neighborhood-Correction Algorithm for Classification of Normal and Malignant Cells

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

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.

Robust multi-label transfer feature learning for early diagnosis of Alzheimer’s disease

Daoqiang Zhang, Bo Cheng, Dinggang Shen, 2018, Brain Imaging and Behavior.

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

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

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

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

Multimodal manifold-regularized transfer learning for MCI conversion prediction

Daoqiang Zhang, Dinggang Shen, Bo Cheng, 2013, Brain Imaging and Behavior.

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

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

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.

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.

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

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

Early Diagnosis of Autism Disease by Multi-channel CNNs

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

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.

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.

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

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

Disease-Image-Specific Learning for Diagnosis-Oriented Neuroimage Synthesis With Incomplete Multi-Modality Data

D. Shen, Mingxia Liu, Yong Xia, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

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

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.

Distribution-Guided Network Thresholding for Functional Connectivity Analysis in fMRI-Based Brain Disorder Identification

Mingxia Liu, Biao Jie, Chunxiang Feng, 2021, IEEE Journal of Biomedical and Health Informatics.

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.

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

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

Two-Stage Cost-Sensitive Learning for Software Defect Prediction

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

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

Daoqiang Zhang, D. Shen, Mingxia Liu, 2016, IEEE transactions on medical imaging.

Bone-Edge-Guided Generative Adversarial Network for Generating Dual-Energy Subtraction Soft-Tissue Images from Chest Radiographs

D. Shen, Mingxia Liu, G. Qin, 2020 .

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.

Ordinal Pattern: A New Descriptor for Brain Connectivity Networks

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

Ordinal Patterns for Connectivity Networks in Brain Disease Diagnosis

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

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

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

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.

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.

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

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

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

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

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

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

Inter-subject Similarity Guided Brain Network Modeling for MCI Diagnosis

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

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

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

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

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

Federated Learning for Medical Image Analysis: A Survey

Mingxia Liu, Hao Guan, 2023, ArXiv.

Attribute relation learning for zero-shot classification

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

Learning Attribute Relation in Attribute-Based Zero-Shot Classification

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

Boundary Coding Representation for Organ Segmentation in Prostate Cancer Radiotherapy

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

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..

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

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

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

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

Feature selection with effective distance

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

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

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

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).

Pairwise Constraint-Guided Sparse Learning for Feature Selection

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

Querying Representative and Informative Super-Pixels for Filament Segmentation in Bioimages

Daoqiang Zhang, Sheng-Jun Huang, Wei Shao, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Federated Learning for Medical Image Analysis: A Survey

Mingxia Liu, Hao Guan, Hao Guan, 2023, Pattern recognition.

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

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

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

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

Seong-Whan Lee, Han Zhang, D. Shen, 2019, Pattern Recognit..

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

Yong Chen, Weili Lin, D. Shen, 2019, IEEE Transactions on Medical Imaging.

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

D. Shen, C. Lian, Mingxia Liu, 2020, IEEE Transactions on Cybernetics.

Multimodal manifold-regularized transfer learning for MCI conversion prediction

Daoqiang Zhang, Bo Cheng, Heung-Il Suk, 2015, Brain Imaging and Behavior.

Ordinal Pattern: A New Descriptor for Brain Connectivity Networks

Daoqiang Zhang, Mingxia Liu, Biao Jie, 2018, IEEE Transactions on Medical Imaging.

Hierarchical Structured Sparse Learning for Schizophrenia Identification

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

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

Han Zhang, Gang Li, Weili Lin, 2018, MICCAI.

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

D. Shen, P. Yap, Mingxia Liu, 2018, IEEE Journal of Biomedical and Health Informatics.

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

Daoqiang Zhang, D. Shen, Mingxia Liu, 2016, IEEE Transactions on Biomedical Engineering.