Mingxia Liu
University of North Carolina at Chapel Hill
H-index: 48
North America-United States
Top articles of Mingxia Liu
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Hybrid Representation Learning for Cognitive Diagnosis in Late-Life Depression Over 5 years with Structural MRI | arXiv preprint arXiv:2212.12810 | Lintao Zhang Lihong Wang Minhui Yu Rong Wu David C Steffens | 2022/12/24 |
Federated Learning for Medical Image Analysis: A Survey | Hao Guan Pew-Thian Yap Andrea Bozoki Mingxia Liu | 2024/3/12 | |
Source-Free Unsupervised Domain Adaptation: A Survey | Yuqi Fang Pew-Thian Yap Weili Lin Hongtu Zhu Mingxia Liu | 2024/3/11 | |
Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI | IEEE Transactions on Biomedical Engineering | Qianqian Wang Wei Wang Yuqi Fang P-T Yap Hongtu Zhu | 2024/2/27 |
Preserving Specificity in Federated Graph Learning for fMRI-based Neurological Disorder Identification | Neural Networks | Junhao Zhang Qianqian Wang Xiaochuan Wang Lishan Qiao Mingxia Liu | 2024/1/26 |
Addressing Multi-Site Functional MRI Heterogeneity through Dual-Expert Collaborative Learning for Brain Disease Identification | Human Brain Mapping | Yuqi Fang Guy G Potter Di Wu Hongtu Zhu Mingxia Liu | 2023/5/25 |
Deep Bayesian Quantization for Supervised Neuroimage Search | Erkun Yang Cheng Deng Mingxia Liu | 2023/10/8 | |
Structural MRI harmonization via disentangled latent energy-based style translation | Mengqi Wu Lintao Zhang Pew-Thian Yap Weili Lin Hongtu Zhu | 2023/10/8 | |
Detecting Type 2 Diabetes Mellitus Cognitive Impairment using Whole-Brain Functional Connectivity | Scientific Reports | Jinjian Wu Yuqi Fang Xin Tan Shangyu Kang Xiaomei Yue | 2023/3/9 |
Multi-Scale Dynamic Graph Learning for Brain Disorder Detection with Functional MRI | IEEE Transactions on Neural Systems and Rehabilitation Engineering | Yunling Ma Qianqian Wang Liang Cao Long Li Chaojun Zhang | 2023/7/20 |
Self-Supervised Learning with Application for Infant Cerebellum Segmentation and Analysis | Nature Communications | Yue Sun Limei Wang Kun Gao Shihui Ying Weili Lin | 2023/8/5 |
DomainATM: Domain Adaptation Toolbox for Medical Data Analysis | NeuroImage | Hao Guan Mingxia Liu | 2023/3/1 |
Brain Morphometric Features Predict Depression Symptom Phenotypes in Late-Life Depression using a Deep Learning Model | Frontiers in Neuroscience | Bing Cao Erkun Yang Lihong Wang Zhanhao Mo David C Steffens | 2023/7/19 |
Brain Anatomy-Guided MRI Analysis for Assessing Clinical Progression of Cognitive Impairment with Structural MRI | Lintao Zhang Jinjian Wu Lihong Wang Li Wang David C Steffens | 2023/10/1 | |
Unsupervised Cross-Domain Functional MRI Adaptation for Automated Major Depressive Disorder Identification | Medical image analysis | Yuqi Fang Mingliang Wang Guy G Potter Mingxia Liu | 2023/2/1 |
Brain Anatomy Prior Modeling to Forecast Clinical Progression of Cognitive Impairment with Structural MRI | arXiv preprint arXiv:2306.11837 | Lintao Zhang Jinjian Wu Lihong Wang Li Wang David C Steffens | 2023/6/20 |
Triplet Learning for Chest X-Ray Image Search in Automated COVID-19 Analysis | Linmin Wang Qianqian Wang Xiaochuan Wang Yunling Ma Lishan Qiao | 2023/8/1 | |
Editorial: Advances in Deep Learning Methods for Medical Image Analysis | Frontiers in Radiology | Heung-Il Suk Mingxia Liu Xiaohuan Cao Jaeil Kim | 2023/1/6 |
Attention-Guided Autoencoder for Automated Progression Prediction of Subjective Cognitive Decline with Structural MRI | IEEE journal of biomedical and health informatics | Hao Guan Ling Yue Pew-Thian Yap Shifu Xiao Andrea Bozoki | 2023/3/16 |
Specificity-Aware Federated Graph Learning for Brain Disorder Analysis with Functional MRI | Junhao Zhang Xiaochuan Wang Qianqian Wang Lishan Qiao Mingxia Liu | 2023/8/1 |
