Mingxia Liu
Orcid: 0000-0002-0166-0807Affiliations:
- University of North Carolina, Department of Radiology and BRIC, Chapel Hill, NC, USA
- Taishan University, School of Information Science and Technology, Tai'an, China
- Nanjing University of Aeronautics and Astronautics, School of Computer Science and Technology, Nanjing, China (PhD 2015)
According to our database1,
Mingxia Liu
authored at least 161 papers
between 2007 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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on med.unc.edu
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on orcid.org
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Bibliography
2024
Preserving specificity in federated graph learning for fMRI-based neurological disorder identification.
Neural Networks, January, 2024
Iterative Learning for Joint Image Denoising and Motion Artifact Correction of 3D Brain MRI.
CoRR, 2024
Disentangled Latent Energy-Based Style Translation: An Image-Level Structural MRI Harmonization Framework.
CoRR, 2024
2023
Attention-Guided Autoencoder for Automated Progression Prediction of Subjective Cognitive Decline With Structural MRI.
IEEE J. Biomed. Health Informatics, June, 2023
NeuroImage, March, 2023
Unsupervised cross-domain functional MRI adaptation for automated major depressive disorder identification.
Medical Image Anal., 2023
Source-Free Collaborative Domain Adaptation via Multi-Perspective Feature Enrichment for Functional MRI Analysis.
CoRR, 2023
CoRR, 2023
Brain Anatomy Prior Modeling to Forecast Clinical Progression of Cognitive Impairment with Structural MRI.
CoRR, 2023
Specificity-Aware Federated Graph Learning for Brain Disorder Analysis with Functional MRI.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Brain Anatomy-Guided MRI Analysis for Assessing Clinical Progression of Cognitive Impairment with Structural MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Hybrid Multimodality Fusion with Cross-Domain Knowledge Transfer to Forecast Progression Trajectories in Cognitive Decline.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
Modularity-Constrained Dynamic Representation Learning for Interpretable Brain Disorder Analysis with Functional MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Multi-Task Weakly-Supervised Attention Network for Dementia Status Estimation With Structural MRI.
IEEE Trans. Neural Networks Learn. Syst., 2022
Distribution-Guided Network Thresholding for Functional Connectivity Analysis in fMRI-Based Brain Disorder Identification.
IEEE J. Biomed. Health Informatics, 2022
IEEE Trans. Cybern., 2022
Multiview Feature Learning With Multiatlas-Based Functional Connectivity Networks for MCI Diagnosis.
IEEE Trans. Cybern., 2022
IEEE Trans. Biomed. Eng., 2022
Disease-Image-Specific Learning for Diagnosis-Oriented Neuroimage Synthesis With Incomplete Multi-Modality Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Consistent connectome landscape mining for cross-site brain disease identification using functional MRI.
Medical Image Anal., 2022
Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI.
Medical Image Anal., 2022
Assessing clinical progression from subjective cognitive decline to mild cognitive impairment with incomplete multi-modal neuroimages.
Medical Image Anal., 2022
Medical Biol. Eng. Comput., 2022
J. Comput. Sci. Technol., 2022
Frontiers Neuroinformatics, 2022
Frontiers Neuroinformatics, 2022
Hybrid Representation Learning for Cognitive Diagnosis in Late-Life Depression Over 5 Years with Structural MRI.
CoRR, 2022
Attention-Guided Autoencoder for Automated Progression Prediction of Subjective Cognitive Decline with Structural MRI.
CoRR, 2022
Proceedings of the Web Information Systems Engineering - WISE 2022, 2022
Understanding Clinical Progression of Late-Life Depression to Alzheimer's Disease Over 5 Years with Structural MRI.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
Domain-Prior-Induced Structural MRI Adaptation for Clinical Progression Prediction of Subjective Cognitive Decline.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Function MRI Representation Learning via Self-supervised Transformer for Automated Brain Disorder Analysis.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
Prediction of HPV-Associated Genetic Diversity for Squamous Cell Carcinoma of Head and Neck Cancer Based on <sup>18</sup>F-FDG PET/CT.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
2021
A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity.
IEEE Trans. Medical Imaging, 2021
IEEE Trans. Medical Imaging, 2021
Boundary Coding Representation for Organ Segmentation in Prostate Cancer Radiotherapy.
IEEE Trans. Medical Imaging, 2021
Multi-Scale Context-Guided Deep Network for Automated Lesion Segmentation With Endoscopy Images of Gastrointestinal Tract.
IEEE J. Biomed. Health Informatics, 2021
IEEE Trans. Cybern., 2021
Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images.
Pattern Recognit., 2021
Joint fully convolutional and graph convolutional networks for weakly-supervised segmentation of pathology images.
Medical Image Anal., 2021
Medical Image Anal., 2021
Modeling dynamic characteristics of brain functional connectivity networks using resting-state functional MRI.
Medical Image Anal., 2021
Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification.
Medical Image Anal., 2021
Multi-Scale Graph Representation Learning for Autism Identification With Functional MRI.
Frontiers Neuroinformatics, 2021
Estimating sparse functional connectivity networks via hyperparameter-free learning model.
Artif. Intell. Medicine, 2021
Integrating Multimodal MRIs for Adult ADHD Identification with Heterogeneous Graph Attention Convolutional Network.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021
Tensor-Based Multi-index Representation Learning for Major Depression Disorder Detection with Resting-State fMRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Improving Tuberculosis Recognition on Bone-Suppressed Chest X-Rays Guided by Task-Specific Features.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021
Extracting Sequential Features from Dynamic Connectivity Network with rs-fMRI Data for AD Classification.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Learning Transferable 3D-CNN for MRI-Based Brain Disorder Classification from Scratch: An Empirical Study.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Cost-Sensitive Meta-learning for Progress Prediction of Subjective Cognitive Decline with Brain Structural MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Integration of Handcrafted and Embedded Features from Functional Connectivity Network with rs-fMRI forBrain Disease Classification.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Deep Factor Regression For Computer-Aided Analysis of Major Depressive Disorders With Structural MRI Data.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Multi-Source Domain Adaptation via Optimal Transport for Brain Dementia Identification.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
Identifying Autism Spectrum Disorder With Multi-Site fMRI via Low-Rank Domain Adaptation.
IEEE Trans. Medical Imaging, 2020
IEEE Trans. Medical Imaging, 2020
Spatially-Constrained Fisher Representation for Brain Disease Identification With Incomplete Multi-Modal Neuroimages.
IEEE Trans. Medical Imaging, 2020
Erratum to "Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting".
IEEE Trans. Medical Imaging, 2020
High-Order Feature Learning for Multi-Atlas Based Label Fusion: Application to Brain Segmentation With MRI.
IEEE Trans. Image Process., 2020
IEEE Trans. Image Process., 2020
Weakly Supervised Deep Learning for Brain Disease Prognosis Using MRI and Incomplete Clinical Scores.
IEEE Trans. Cybern., 2020
Querying Representative and Informative Super-Pixels for Filament Segmentation in Bioimages.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network.
IEEE Trans. Biomed. Eng., 2020
Hierarchical Fully Convolutional Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI.
IEEE Trans. Pattern Anal. Mach. Intell., 2020
Neuroinformatics, 2020
Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data.
Medical Image Anal., 2020
Context-guided fully convolutional networks for joint craniomaxillofacial bone segmentation and landmark digitization.
Medical Image Anal., 2020
Designing weighted correlation kernels in convolutional neural networks for functional connectivity based brain disease diagnosis.
Medical Image Anal., 2020
Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images.
CoRR, 2020
Temporal-Adaptive Graph Convolutional Network for Automated Identification of Major Depressive Disorder Using Resting-State fMRI.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
LDGAN: Longitudinal-Diagnostic Generative Adversarial Network for Disease Progression Prediction with Missing Structural MRI.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Joint Neuroimage Synthesis and Representation Learning for Conversion Prediction of Subjective Cognitive Decline.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Generating Dual-Energy Subtraction Soft-Tissue Images from Chest Radiographs via Bone Edge-Guided GAN.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Attention-Guided Deep Domain Adaptation for Brain Dementia Identification with Multi-site Neuroimaging Data.
Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Constructing High-Order Dynamic Functional Connectivity Networks from Resting-State fMRI for Brain Dementia Identification.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Latent Representation Learning for Alzheimer's Disease Diagnosis With Incomplete Multi-Modality Neuroimaging and Genetic Data.
IEEE Trans. Medical Imaging, 2019
Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting.
IEEE Trans. Medical Imaging, 2019
Brain-Wide Genome-Wide Association Study for Alzheimer's Disease via Joint Projection Learning and Sparse Regression Model.
IEEE Trans. Biomed. Eng., 2019
Joint Classification and Regression via Deep Multi-Task Multi-Channel Learning for Alzheimer's Disease Diagnosis.
IEEE Trans. Biomed. Eng., 2019
Strength and similarity guided group-level brain functional network construction for MCI diagnosis.
Pattern Recognit., 2019
NeuroImage, 2019
Multi-task exclusive relationship learning for alzheimer's disease progression prediction with longitudinal data.
Medical Image Anal., 2019
Artif. Intell. Medicine, 2019
Graph-Kernel Based Structured Feature Selection for Brain Disease Classification Using Functional Connectivity Networks.
IEEE Access, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Unsupervised Conditional Consensus Adversarial Network for Brain Disease Identification with Structural MRI.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Triplet Graph Convolutional Network for Multi-scale Analysis of Functional Connectivity Using Functional MRI.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019
Graph-Kernel-Based Multi-task Structured Feature Selection on Multi-level Functional Connectivity Networks for Brain Disease Classification.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019
Adaptive Thresholding of Functional Connectivity Networks for fMRI-Based Brain Disease Analysis.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019
Disease-Image Specific Generative Adversarial Network for Brain Disease Diagnosis with Incomplete Multi-modal Neuroimages.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Discriminative-Region-Aware Residual Network for Adolescent Brain Structure and Cognitive Development Analysis.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019
MeshSNet: Deep Multi-scale Mesh Feature Learning for End-to-End Tooth Labeling on 3D Dental Surfaces.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
End-to-End Dementia Status Prediction from Brain MRI Using Multi-task Weakly-Supervised Attention Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 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
IEEE Trans. Medical Imaging, 2018
Anatomical Landmark Based Deep Feature Representation for MR Images in Brain Disease Diagnosis.
IEEE J. Biomed. Health Informatics, 2018
IEEE J. Biomed. Health Informatics, 2018
Sub-Network Kernels for Measuring Similarity of Brain Connectivity Networks in Disease Diagnosis.
IEEE Trans. Image Process., 2018
An Organelle Correlation-Guided Feature Selection Approach for Classifying Multi-Label Subcellular Bio-Images.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
Medical Image Anal., 2018
Multi-channel multi-scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images.
Medical Image Anal., 2018
Integration of temporal and spatial properties of dynamic connectivity networks for automatic diagnosis of brain disease.
Medical Image Anal., 2018
Multi-Region Correlation Based Functional Brain Network for Disease Diagnosis and Cognitive States Detection.
IEEE Access, 2018
Proceedings of the 2018 International Conference on Security, 2018
A Color Image Watermarking Scheme Against Geometric Rotation Attacks Based on HVS and DCT-DWT.
Proceedings of the 2018 International Conference on Security, 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
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
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. Biomed. Health Informatics, 2017
Detecting Anatomical Landmarks From Limited Medical Imaging Data Using Two-Stage Task-Oriented Deep Neural Networks.
IEEE Trans. Image Process., 2017
Temporally Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease.
IEEE Trans. Biomed. Eng., 2017
Neuroinformatics, 2017
View-aligned hypergraph learning for Alzheimer's disease diagnosis with incomplete multi-modality data.
Medical Image Anal., 2017
Auroral event representation based on the n-ary fusion of multiple oriented energies.
Neurocomputing, 2017
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. Medical Imaging, 2016
IEEE Trans. Cybern., 2016
Inherent Structure-Based Multiview Learning With Multitemplate Feature Representation for Alzheimer's Disease Diagnosis.
IEEE Trans. Biomed. Eng., 2016
IEEE Trans. Pattern Anal. Mach. Intell., 2016
Human cell structure-driven model construction for predicting protein subcellular location from biological images.
Bioinform., 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
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
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016
Proceedings of the 9th Eurographics Workshop on 3D Object Retrieval, 2016
2015
IEEE Trans. Biomed. Eng., 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
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
2014
IEEE Trans. Reliab., 2014
Int. J. Pattern Recognit. Artif. Intell., 2014
2012
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012
Proceedings of the 21st International Conference on Pattern Recognition, 2012
Proceedings of the 21st International Conference on Pattern Recognition, 2012
2010
Semisubsampled Wavelet Transform Based Image Watermarking with Strong Robustness to Rotation Attacks.
J. Multim., 2010
Int. J. Comput. Appl. Technol., 2010
2008
The Nonsubsampled Contourlet-Wavelet Hybrid Transform: Design and Application to Image Watermarking.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008
2007
Proceedings of the 8th ACIS International Conference on Software Engineering, 2007