Mingxia Liu

According to our database1, Mingxia Liu authored at least 61 papers between 2010 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
Brain-Wide Genome-Wide Association Study for Alzheimer's Disease via Joint Projection Learning and Sparse Regression Model.
IEEE Trans. Biomed. Engineering, 2019

Joint Classification and Regression via Deep Multi-Task Multi-Channel Learning for Alzheimer's Disease Diagnosis.
IEEE Trans. Biomed. Engineering, 2019

Strength and similarity guided group-level brain functional network construction for MCI diagnosis.
Pattern Recognition, 2019

First-year development of modules and hubs in infant brain functional networks.
NeuroImage, 2019

Multimedia analysis for medical applications.
Multimedia Syst., 2019

Multi-task exclusive relationship learning for alzheimer's disease progression prediction with longitudinal data.
Medical Image Analysis, 2019

Reliability-based robust multi-atlas label fusion for brain MRI segmentation.
Artificial Intelligence in Medicine, 2019

Graph-Kernel Based Structured Feature Selection for Brain Disease Classification Using Functional Connectivity Networks.
IEEE Access, 2019

Functional Connectivity Network Analysis with Discriminative Hub Detection for Brain Disease Identification.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Ordinal Pattern: A New Descriptor for Brain Connectivity Networks.
IEEE Trans. Med. Imaging, 2018

Anatomical Landmark Based Deep Feature Representation for MR Images in Brain Disease Diagnosis.
IEEE J. Biomedical and Health Informatics, 2018

Multi-Hypergraph Learning for Incomplete Multimodality Data.
IEEE J. Biomedical and Health Informatics, 2018

Sub-Network Kernels for Measuring Similarity of Brain Connectivity Networks in Disease Diagnosis.
IEEE Trans. Image Processing, 2018

An Organelle Correlation-Guided Feature Selection Approach for Classifying Multi-Label Subcellular Bio-Images.
IEEE/ACM Trans. Comput. Biology Bioinform., 2018

Landmark-based deep multi-instance learning for brain disease diagnosis.
Medical Image Analysis, 2018

Multi-channel multi-scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images.
Medical Image Analysis, 2018

Integration of temporal and spatial properties of dynamic connectivity networks for automatic diagnosis of brain disease.
Medical Image Analysis, 2018

Multi-Region Correlation Based Functional Brain Network for Disease Diagnosis and Cognitive States Detection.
IEEE Access, 2018

Multi-modal Neuroimaging Data Fusion via Latent Space Learning for Alzheimer's Disease Diagnosis.
Proceedings of the PRedictive Intelligence in MEdicine - First International Workshop, 2018

Low-Rank Representation for Multi-center Autism Spectrum Disorder Identification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Synthesizing Missing PET from MRI with Cycle-consistent Generative Adversarial Networks for Alzheimer's Disease Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Early Diagnosis of Autism Disease by Multi-channel CNNs.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

Developing Novel Weighted Correlation Kernels for Convolutional Neural Networks to Extract Hierarchical Functional Connectivities from fMRI for Disease Diagnosis.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

Deep Learning for Fast and Spatially-Constrained Tissue Quantification from Highly-Undersampled Data in Magnetic Resonance Fingerprinting (MRF).
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

2017
Alzheimer's Disease Diagnosis Using Landmark-Based Features From Longitudinal Structural MR Images.
IEEE J. Biomedical and Health Informatics, 2017

Detecting Anatomical Landmarks From Limited Medical Imaging Data Using Two-Stage Task-Oriented Deep Neural Networks.
IEEE Trans. Image Processing, 2017

Temporally Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease.
IEEE Trans. Biomed. Engineering, 2017

Multi-Domain Transfer Learning for Early Diagnosis of Alzheimer's Disease.
Neuroinformatics, 2017

View-aligned hypergraph learning for Alzheimer's disease diagnosis with incomplete multi-modality data.
Medical Image Analysis, 2017

Auroral event representation based on the n-ary fusion of multiple oriented energies.
Neurocomputing, 2017

Hypergraph regularized sparse feature learning.
Neurocomputing, 2017

Multimodal media data understanding and analysis.
Neurocomputing, 2017

Inter-subject Similarity Guided Brain Network Modeling for MCI Diagnosis.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Joint Craniomaxillofacial Bone Segmentation and Landmark Digitization by Context-Guided Fully Convolutional Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Deep Multi-task Multi-channel Learning for Joint Classification and Regression of Brain Status.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016
Relationship Induced Multi-Template Learning for Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment.
IEEE Trans. Med. Imaging, 2016

Pairwise Constraint-Guided Sparse Learning for Feature Selection.
IEEE Trans. Cybernetics, 2016

Inherent Structure-Based Multiview Learning With Multitemplate Feature Representation for Alzheimer's Disease Diagnosis.
IEEE Trans. Biomed. Engineering, 2016

Joint Binary Classifier Learning for ECOC-Based Multi-Class Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Feature selection with effective distance.
Neurocomputing, 2016

Human cell structure-driven model construction for predicting protein subcellular location from biological images.
Bioinformatics, 2016

Grouped pilot reuse for channel estimation in massive MIMO networks.
Proceedings of the 8th International Conference on Wireless Communications & Signal Processing, 2016

Landmark-Based Alzheimer's Disease Diagnosis Using Longitudinal Structural MR Images.
Proceedings of the Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging, 2016

Diagnosis of Alzheimer's Disease Using View-Aligned Hypergraph Learning with Incomplete Multi-modality Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Ordinal Patterns for Connectivity Networks in Brain Disease Diagnosis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Semi-supervised Hierarchical Multimodal Feature and Sample Selection for Alzheimer's Disease Diagnosis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Sub-network Based Kernels for Brain Network Classification.
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016

3D Object Retrieval with Multimodal Views.
Proceedings of the 9th Eurographics Workshop on 3D Object Retrieval, 2016

2015
Domain Transfer Learning for MCI Conversion Prediction.
IEEE Trans. Biomed. Engineering, 2015

Inherent Structure-Guided Multi-view Learning for Alzheimer's Disease and Mild Cognitive Impairment Classification.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Relationship Induced Multi-atlas Learning for Alzheimer's Disease Diagnosis.
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015

Multimodal Multi-label Transfer Learning for Early Diagnosis of Alzheimer's Disease.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

2014
Two-Stage Cost-Sensitive Learning for Software Defect Prediction.
IEEE Trans. Reliability, 2014

Sparsity Score: a Novel Graph-Preserving Feature Selection Method.
IJPRAI, 2014

Attribute relation learning for zero-shot classification.
Neurocomputing, 2014

2012
Learning Attribute Relation in Attribute-Based Zero-Shot Classification.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

Cost-sensitive feature selection with application in software defect prediction.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Sparsity Score: A new filter feature selection method based on graph.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

2010
Semisubsampled Wavelet Transform Based Image Watermarking with Strong Robustness to Rotation Attacks.
Journal of Multimedia, 2010

A new approach for texture classification in CBIR.
IJCAT, 2010


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