| 2025 | ICONIP | BrainGACCL: Brain Graph Adaptive Co-contrastive Learning with Universum Samples for fMRI-Based Brain Disease Detection. | Yaru Li, Guangyu Wang, Xiaochuan Wang, Junze Wang, Xiaoming Xi, Shuai Zhang, Limei Zhang, Lishan Qiao, Mingxia Liu |
| 2025 | MICCAI | Improving Late-Life Depression Analysis with Collaborative Domain Adaptation: Learning from Heterogeneous Structural MRI. | Yuzhen Gao, Mengqi Wu, Li Wang, Lihong Wang, David C. Stephens, Guy G. Potter, Mingxia Liu |
| 2025 | MICCAI | MMBNA: Masked Multiview Brain Network Analysis via Disentangling for Alzheimer's Early Diagnosis with fMRI. | Dequan Meng, Jie Guo, Junze Wang, Xiaoming Xi, Lishan Qiao, Limei Zhang, Mingxia Liu |
| 2025 | MICCAI | Prompt-Driven Multi-view Representation Learning for Clinical Progression Prediction of Significant Memory Concern. | Cui Wang, Yongheng Sun, Minhui Yu, Yuzhen Gao, Mingxia Liu |
| 2025 | MICCAI | Dynamic Function-Structure Connectivity Coupling for Predicting Progression Trajectories in Neurocognitive Decline. | Qianqian Wang, Wei Wang, Hong-Jun Li, Weili Lin, Mingxia Liu |
| 2025 | MICCAI | Unpaired Multi-site Brain MRI Harmonization with Image Style-Guided Latent Diffusion. | Mengqi Wu, Minhui Yu, Weili Lin, Pew-Thian Yap, Mingxia Liu |
| 2025 | MICCAI | Hyperbolic Kernel GCN with Structure-Function Connectivity Coupling for Neurocognitive Impairment Analysis. | Meimei Yang, Yongheng Sun, Qianqian Wang, Wei Wang, Hong-Jun Li, Mingxia Liu |
| 2025 | MICCAI | Distribution-Guided Multi-tracer Brain PET Synthesis from Structural MRI with Class-Conditioned Weighted Diffusion. | Minhui Yu, David S. Lalush, Derek C. Monroe, Kelly S. Giovanello, Weili Lin, Pew-Thian Yap, Jason P. Mihalik, Mingxia Liu |
| 2024 | MICCAI | Attention-Enhanced Fusion of Structural and Functional MRI for Analyzing HIV-Associated Asymptomatic Neurocognitive Impairment. | Yuqi Fang, Wei Wang, Qianqian Wang, Hong-Jun Li, Mingxia Liu |
| 2023 | MICCAI | Hybrid Multimodality Fusion with Cross-Domain Knowledge Transfer to Forecast Progression Trajectories in Cognitive Decline. | Minhui Yu, Yunbi Liu, Jinjian Wu, Andrea Bozoki, Shijun Qiu, Ling Yue, Mingxia Liu |
| 2023 | MICCAI | 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, Shijun Qiu, Guy G. Potter, Mingxia Liu |
| 2022 | MICCAI | Prediction of HPV-Associated Genetic Diversity for Squamous Cell Carcinoma of Head and Neck Cancer Based on | Yuqi Fang, Jorge Daniel Oldan, Weili Lin, Travis Parke Schrank, Wendell Gray Yarbrough, Natalia Isaeva, Mingxia Liu |
| 2022 | MICCAI | Fast Image-Level MRI Harmonization via Spectrum Analysis. | Hao Guan, Siyuan Liu, Weili Lin, Pew-Thian Yap, Mingxia Liu |
| 2022 | MICCAI | Function MRI Representation Learning via Self-supervised Transformer for Automated Brain Disorder Analysis. | Qianqian Wang, Lishan Qiao, Mingxia Liu |
| 2022 | MICCAI | Domain-Prior-Induced Structural MRI Adaptation for Clinical Progression Prediction of Subjective Cognitive Decline. | Minhui Yu, Hao Guan, Yuqi Fang, Ling Yue, Mingxia Liu |
| 2022 | MICCAI | Understanding Clinical Progression of Late-Life Depression to Alzheimer's Disease Over 5 Years with Structural MRI. | Lintao Zhang, Minhui Yu, Lihong Wang, David C. Steffens, Rong Wu, Guy G. Potter, Mingxia Liu |
| 2021 | MICCAI | Integration of Handcrafted and Embedded Features from Functional Connectivity Network with rs-fMRI forBrain Disease Classification. | Peng Dong, Biao Jie, Lin Kai, Xintao Ding, Weixin Bian, Mingxia Liu |
| 2021 | MICCAI | Cost-Sensitive Meta-learning for Progress Prediction of Subjective Cognitive Decline with Brain Structural MRI. | Hao Guan, Yunbi Liu, Shifu Xiao, Ling Yue, Mingxia Liu |
| 2021 | MICCAI | Learning Transferable 3D-CNN for MRI-Based Brain Disorder Classification from Scratch: An Empirical Study. | Hao Guan, Li Wang, Dongren Yao, Andrea Bozoki, Mingxia Liu |
| 2021 | MICCAI | Extracting Sequential Features from Dynamic Connectivity Network with rs-fMRI Data for AD Classification. | Kai Lin, Biao Jie, Peng Dong, Xintao Ding, Weixin Bian, Mingxia Liu |
| 2021 | MICCAI | Improving Tuberculosis Recognition on Bone-Suppressed Chest X-Rays Guided by Task-Specific Features. | Yunbi Liu, Genggeng Qin, Yun Liu, Mingxia Liu, Wei Yang |
| 2021 | MICCAI | Tensor-Based Multi-index Representation Learning for Major Depression Disorder Detection with Resting-State fMRI. | Dongren Yao, Erkun Yang, Hao Guan, Jing Sui, Zhizhong Zhang, Mingxia Liu |
| 2021 | MICCAI | Integrating Multimodal MRIs for Adult ADHD Identification with Heterogeneous Graph Attention Convolutional Network. | Dongren Yao, Erkun Yang, Li Sun, Jing Sui, Mingxia Liu |
| 2020 | AAAI | Graph-Based Decoding Model for Functional Alignment of Unaligned fMRI Data. | Weida Li, Mingxia Liu, Fang Chen, Daoqiang Zhang |
| 2020 | MICCAI | Constructing High-Order Dynamic Functional Connectivity Networks from Resting-State fMRI for Brain Dementia Identification. | Chunxiang Feng, Biao Jie, Xintao Ding, Daoqiang Zhang, Mingxia Liu |
| 2020 | MICCAI | Linking Adolescent Brain MRI to Obesity via Deep Multi-cue Regression Network. | Hao Guan, Erkun Yang, Li Wang, Pew-Thian Yap, Mingxia Liu, Dinggang Shen |
| 2020 | MICCAI | Attention-Guided Deep Domain Adaptation for Brain Dementia Identification with Multi-site Neuroimaging Data. | Hao Guan, Erkun Yang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu |
| 2020 | MICCAI | Generating Dual-Energy Subtraction Soft-Tissue Images from Chest Radiographs via Bone Edge-Guided GAN. | Yunbi Liu, Mingxia Liu, Yuhua Xi, Genggeng Qin, Dinggang Shen, Wei Yang |
| 2020 | MICCAI | Joint Neuroimage Synthesis and Representation Learning for Conversion Prediction of Subjective Cognitive Decline. | Yunbi Liu, Yongsheng Pan, Wei Yang, Zhenyuan Ning, Ling Yue, Mingxia Liu, Dinggang Shen |
| 2020 | MICCAI | LDGAN: Longitudinal-Diagnostic Generative Adversarial Network for Disease Progression Prediction with Missing Structural MRI. | Zhenyuan Ning, Yu Zhang, Yongsheng Pan, Tao Zhong, Mingxia Liu, Dinggang Shen |
| 2020 | MICCAI | Deep Disentangled Hashing with Momentum Triplets for Neuroimage Search. | Erkun Yang, Dongren Yao, Bing Cao, Hao Guan, Pew-Thian Yap, Dinggang Shen, Mingxia Liu |
| 2020 | MICCAI | Temporal-Adaptive Graph Convolutional Network for Automated Identification of Major Depressive Disorder Using Resting-State fMRI. | Dongren Yao, Jing Sui, Erkun Yang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu |
| 2019 | AAAI | Functional Connectivity Network Analysis with Discriminative Hub Detection for Brain Disease Identification. | Mingliang Wang, Jiashuang Huang, Mingxia Liu, Daoqiang Zhang |
| 2019 | MICCAI | End-to-End Dementia Status Prediction from Brain MRI Using Multi-task Weakly-Supervised Attention Network. | Chunfeng Lian, Mingxia Liu, Li Wang, Dinggang Shen |
| 2019 | MICCAI | MeshSNet: Deep Multi-scale Mesh Feature Learning for End-to-End Tooth Labeling on 3D Dental Surfaces. | Chunfeng Lian, Li Wang, Tai-Hsien Wu, Mingxia Liu, Francisca Durn, Ching-Chang Ko, Dinggang Shen |
| 2019 | MICCAI | Discriminative-Region-Aware Residual Network for Adolescent Brain Structure and Cognitive Development Analysis. | Yongsheng Pan, Mingxia Liu, Li Wang, Yong Xia, Dinggang Shen |
| 2019 | MICCAI | Disease-Image Specific Generative Adversarial Network for Brain Disease Diagnosis with Incomplete Multi-modal Neuroimages. | Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Yong Xia, Dinggang Shen |
| 2019 | MICCAI | Adaptive Thresholding of Functional Connectivity Networks for fMRI-Based Brain Disease Analysis. | Zhengdong Wang, Biao Jie, Weixin Bian, Daoqiang Zhang, Dinggang Shen, Mingxia Liu |
| 2019 | MICCAI | Graph-Kernel-Based Multi-task Structured Feature Selection on Multi-level Functional Connectivity Networks for Brain Disease Classification. | Zhengdong Wang, Biao Jie, Mi Wang, Chunxiang Feng, Wen Zhou, Dinggang Shen, Mingxia Liu |
| 2019 | MICCAI | Triplet Graph Convolutional Network for Multi-scale Analysis of Functional Connectivity Using Functional MRI. | Dongren Yao, Mingxia Liu, Mingliang Wang, Chunfeng Lian, Jie Wei, Li Sun, Jing Sui, Dinggang Shen |
| 2019 | MICCAI | Unsupervised Conditional Consensus Adversarial Network for Brain Disease Identification with Structural MRI. | Jing Zhang, Mingxia Liu, Yongsheng Pan, Dinggang Shen |
| 2019 | MICCAI | Deep Multi-modal Latent Representation Learning for Automated Dementia Diagnosis. | Tao Zhou, Mingxia Liu, Huazhu Fu, Jun Wang, Jianbing Shen, Ling Shao, Dinggang Shen |
| 2018 | MICCAI | Deep Learning for Fast and Spatially-Constrained Tissue Quantification from Highly-Undersampled Data in Magnetic Resonance Fingerprinting (MRF). | Zhenghan Fang, Yong Chen, Mingxia Liu, Yiqiang Zhan, Weili Lin, Dinggang Shen |
| 2018 | MICCAI | Developing Novel Weighted Correlation Kernels for Convolutional Neural Networks to Extract Hierarchical Functional Connectivities from fMRI for Disease Diagnosis. | Biao Jie, Mingxia Liu, Chunfeng Lian, Feng Shi, Dinggang Shen |
| 2018 | MICCAI | Early Diagnosis of Autism Disease by Multi-channel CNNs. | Guannan Li, Mingxia Liu, Quan-Sen Sun, Dinggang Shen, Li Wang |
| 2018 | MICCAI | Synthesizing Missing PET from MRI with Cycle-consistent Generative Adversarial Networks for Alzheimer's Disease Diagnosis. | Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Tao Zhou, Yong Xia, Dinggang Shen |
| 2018 | MICCAI | Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis. | Li Wang, Gang Li, Feng Shi, Xiaohuan Cao, Chunfeng Lian, Dong Nie, Mingxia Liu, Han Zhang, Guannan Li, Zhengwang Wu, Weili Lin, Dinggang Shen |
| 2018 | MICCAI | Low-Rank Representation for Multi-center Autism Spectrum Disorder Identification. | Mingliang Wang, Daoqiang Zhang, Jiashuang Huang, Dinggang Shen, Mingxia Liu |
| 2018 | MICCAI | Multi-modal Neuroimaging Data Fusion via Latent Space Learning for Alzheimer's Disease Diagnosis. | Tao Zhou, Kim-Han Thung, Mingxia Liu, Feng Shi, Changqing Zhang, Dinggang Shen |
| 2017 | MICCAI | Deep Multi-task Multi-channel Learning for Joint Classification and Regression of Brain Status. | Mingxia Liu, Jun Zhang, Ehsan Adeli, Dinggang Shen |
| 2017 | MICCAI | Joint Craniomaxillofacial Bone Segmentation and Landmark Digitization by Context-Guided Fully Convolutional Networks. | Jun Zhang, Mingxia Liu, Li Wang, Si Chen, Peng Yuan, Jianfu Li, Steve Guo-Fang Shen, Zhen Tang, Ken-Chung Chen, James J. Xia, Dinggang Shen |
| 2017 | MICCAI | Inter-subject Similarity Guided Brain Network Modeling for MCI Diagnosis. | Yu Zhang, Han Zhang, Xiaobo Chen, Mingxia Liu, Xiaofeng Zhu, Dinggang Shen |
| 2016 | MICCAI | Semi-supervised Hierarchical Multimodal Feature and Sample Selection for Alzheimer's Disease Diagnosis. | Le An, Ehsan Adeli, Mingxia Liu, Jun Zhang, Dinggang Shen |
| 2016 | MICCAI | Ordinal Patterns for Connectivity Networks in Brain Disease Diagnosis. | Mingxia Liu, Junqiang Du, Biao Jie, Daoqiang Zhang |
| 2016 | MICCAI | Diagnosis of Alzheimer's Disease Using View-Aligned Hypergraph Learning with Incomplete Multi-modality Data. | Mingxia Liu, Jun Zhang, Pew-Thian Yap, Dinggang Shen |
| 2016 | MICCAI | Landmark-Based Alzheimer's Disease Diagnosis Using Longitudinal Structural MR Images. | Jun Zhang, Mingxia Liu, Le An, Yaozong Gao, Dinggang Shen |
| 2015 | MICCAI | Multimodal Multi-label Transfer Learning for Early Diagnosis of Alzheimer's Disease. | Bo Cheng, Mingxia Liu, Daoqiang Zhang |
| 2015 | MICCAI | Relationship Induced Multi-atlas Learning for Alzheimer's Disease Diagnosis. | Mingxia Liu, Daoqiang Zhang, Ehsan Adeli-Mosabbeb, Dinggang Shen |
| 2015 | MICCAI | Inherent Structure-Guided Multi-view Learning for Alzheimer's Disease and Mild Cognitive Impairment Classification. | Mingxia Liu, Daoqiang Zhang, Dinggang Shen |
| 2012 | ICPR | Sparsity Score: A new filter feature selection method based on graph. | Mingxia Liu, Dan Sun, Daoqiang Zhang |
| 2012 | ICPR | Cost-sensitive feature selection with application in software defect prediction. | Linsong Miao, Mingxia Liu, Daoqiang Zhang |
| 2007 | SNPD | Image with Less Information Watermarking Algorithm Based on DWT. | Yingkun Hou, Xiangcai Zhu, Zhu Lili, Mingxia Liu |