Mingxia Liu - RankMe

215 papers A* 2B 2Journal 135Unranked 72

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Augmentation-based unsupervised cross-domain functional MRI adaptation for major depressive disorder identification. Biomed. Signal Process. Control. Yunling Ma, Chaojun Zhang, Xiaochuan Wang, Qianqian Wang, Liang Cao, Limei Zhang, Mingxia Liu
2026	J	`jnl`	Functional imaging constrained diffusion for brain PET synthesis from structural MRI. Medical Image Anal. Minhui Yu, Mengqi Wu, Ling Yue, Andrea Bozoki, Mingxia Liu
2026	J	`jnl`	Hyperbolic Kernel Graph Neural Networks for Neurocognitive Decline Analysis From Multimodal Brain Imaging. IEEE Trans. Pattern Anal. Mach. Intell. Meimei Yang, Yongheng Sun, Qianqian Wang, Andrea Bozoki, Maureen Kohi, Mingxia Liu
2026	J	`jnl`	Iterative learning for joint image denoising and motion artifact correction of 3D brain MRI. Medical Image Anal. Lintao Zhang, Mengqi Wu, Lihong Wang, David C. Steffens, Guy G. Potter, Mingxia Liu
2026	J	`jnl`	Learning from heterogeneous structural MRI via collaborative domain adaptation for late-Life depression assessment. Neural Networks Yuzhen Gao, Qianqian Wang, Yongheng Sun, Cui Wang, Yongquan Liang, Mingxia Liu
2026	J	`jnl`	MGAEPL: Multi-Granularity Automated and Editable Prompt Learning for brain tumor segmentation. Pattern Recognit. Yongheng Sun, Mingxia Liu, Chunfeng Lian
2026	J	`jnl`	RelA-Diffusion: Relativistic Adversarial Diffusion for Multi-Tracer PET Synthesis from Multi-Sequence MRI. CoRR Minhui Yu, Yongheng Sun, David S. Lalush, Jason P. Mihalik, Pew-Thian Yap, Mingxia Liu
2026	J	`jnl`	Segmentation-enhanced multi-scale deep hashing for chest X-ray image retrieval. Medical Image Anal. Linmin Wang, Qianqian Wang, Xiaochuan Wang, Mingxia Liu
2026	J	`jnl`	Unified Multi-Site Multi-Sequence Brain MRI Harmonization Enriched by Biomedical Semantic Style. CoRR Mengqi Wu, Yongheng Sun, Qianqian Wang, Pew-Thian Yap, Mingxia Liu
2026	J	`jnl`	Unpaired volumetric harmonization of brain MRI with conditional latent diffusion. Medical Image Anal. Mengqi Wu, Minhui Yu, Shuaiming Jing, Pew-Thian Yap, Zhengwu Zhang, Mingxia Liu
2025	J	`jnl`	ACTION: Augmentation and computation toolbox for brain network analysis with functional MRI. NeuroImage Yuqi Fang, Junhao Zhang, Linmin Wang, Qianqian Wang, Mingxia Liu
2025	—	`conf`	AEPL: Automated and Editable Prompt Learning for Brain Tumor Segmentation. ISBI Yongheng Sun, Mingxia Liu, Chunfeng Lian
2025	J	`jnl`	Brain anatomy prior modeling to forecast clinical progression of cognitive impairment with structural MRI. Pattern Recognit. Lintao Zhang, Jinjian Wu, Lihong Wang, Li Wang, David C. Steffens, Shijun Qiu, Guy G. Potter, Mingxia Liu
2025	—	`conf`	BrainGACCL: Brain Graph Adaptive Co-contrastive Learning with Universum Samples for fMRI-Based Brain Disease Detection. ICONIP (3) Yaru Li, Guangyu Wang, Xiaochuan Wang, Junze Wang, Xiaoming Xi, Shuai Zhang, Limei Zhang, Lishan Qiao, Mingxia Liu
2025	J	`jnl`	DCLNet: Double Collaborative Learning Network on Stationary-Dynamic Functional Brain Network for Brain Disease Classification. IEEE Trans. Image Process. Jie Zhou, Biao Jie, Zhengdong Wang, Zhixiang Zhang, Weixin Bian, Yang Yang, Hongwei Li, Fengyun Sun, Mingxia Liu
2025	J	`jnl`	Disentangled latent energy-based style translation: An image-level structural MRI harmonization framework. Neural Networks Mengqi Wu, Lintao Zhang, Pew-Thian Yap, Hongtu Zhu, Mingxia Liu
2025	—	`conf`	Distribution-Guided Multi-tracer Brain PET Synthesis from Structural MRI with Class-Conditioned Weighted Diffusion. MICCAI (4) Minhui Yu, David S. Lalush, Derek C. Monroe, Kelly S. Giovanello, Weili Lin, Pew-Thian Yap, Jason P. Mihalik, Mingxia Liu
2025	J	`jnl`	Domain generalization for image classification with dynamic decision boundary. Pattern Recognit. Zhiming Cheng, Mingxia Liu, Defu Yang, Zhidong Zhao, Chenggang Yan, Shuai Wang
2025	—	`conf`	Dynamic Function-Structure Connectivity Coupling for Predicting Progression Trajectories in Neurocognitive Decline. MICCAI (12) Qianqian Wang, Wei Wang, Hong-Jun Li, Weili Lin, Mingxia Liu
2025	J	`jnl`	Dynamic domain generalization for medical image segmentation. Neural Networks Zhiming Cheng, Mingxia Liu, Chenggang Yan, Shuai Wang
2025	J	`jnl`	Graph augmentation guided federated knowledge distillation for multisite functional MRI analysis. Pattern Recognit. Qianqian Wang, Junhao Zhang, Long Li, Lishan Qiao, Pew-Thian Yap, Mingxia Liu
2025	J	`jnl`	Hybrid multi-modality multi-task learning for forecasting progression trajectories in subjective cognitive decline. Neural Networks Minhui Yu, Yuqi Fang, Yunbi Liu, Andrea C. Bozoki, Shifu Xiao, Ling Yue, Mingxia Liu
2025	—	`conf`	Hyperbolic Kernel GCN with Structure-Function Connectivity Coupling for Neurocognitive Impairment Analysis. MICCAI (12) Meimei Yang, Yongheng Sun, Qianqian Wang, Wei Wang, Hong-Jun Li, Mingxia Liu
2025	J	`jnl`	Hyperbolic Kernel Graph Neural Networks for Neurocognitive Decline Analysis from Multimodal Brain Imaging. CoRR Meimei Yang, Yongheng Sun, Qianqian Wang, Andrea Bozoki, Maureen Kohi, Mingxia Liu
2025	—	`conf`	Improving Late-Life Depression Analysis with Collaborative Domain Adaptation: Learning from Heterogeneous Structural MRI. GRAIL/RIME@MICCAI Yuzhen Gao, Mengqi Wu, Li Wang, Lihong Wang, David C. Stephens, Guy G. Potter, Mingxia Liu
2025	J	`jnl`	Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment. CoRR Yuzhen Gao, Qianqian Wang, Yongheng Sun, Cui Wang, Yongquan Liang, Mingxia Liu
2025	—	`conf`	MMBNA: Masked Multiview Brain Network Analysis via Disentangling for Alzheimer's Early Diagnosis with fMRI. MICCAI (12) Dequan Meng, Jie Guo, Junze Wang, Xiaoming Xi, Lishan Qiao, Limei Zhang, Mingxia Liu
2025	J	`jnl`	Miniformer: A Minimalist Transformer for Brain Functional Networks Analysis. IEEE J. Biomed. Health Informatics Yaru Li, Jun Yang, Mengxue Pang, Shuai Zhang, Chris D. Nugent, Mingxia Liu, Lishan Qiao
2025	—	`conf`	Prompt-Driven Multi-view Representation Learning for Clinical Progression Prediction of Significant Memory Concern. GRAIL/RIME@MICCAI Cui Wang, Yongheng Sun, Minhui Yu, Yuzhen Gao, Mingxia Liu
2025	—	`conf`	R2Gen-Mamba: A Selective State Space Model for Radiology Report Generation. ISBI Yongheng Sun, Yueh Z. Lee, Genevieve A. Woodard, Hongtu Zhu, Chunfeng Lian, Mingxia Liu
2025	J	`jnl`	Riemannian manifold-based disentangled representation learning for multi-site functional connectivity analysis. Neural Networks Wenyang Li, Mingliang Wang, Mingxia Liu, Qingshan Liu
2025	J	`jnl`	Self-supervised graph contrastive learning with diffusion augmentation for functional MRI analysis and brain disorder detection. Medical Image Anal. Xiaochuan Wang, Yuqi Fang, Qianqian Wang, Pew-Thian Yap, Hongtu Zhu, Mingxia Liu
2025	J	`jnl`	Source-free collaborative domain adaptation via multi-perspective feature enrichment for functional MRI analysis. Pattern Recognit. Yuqi Fang, Jinjian Wu, Qianqian Wang, Shijun Qiu, Andrea Bozoki, Mingxia Liu
2025	—	`conf`	Topology-Aware Graph Augmentation for Predicting Clinical Trajectories in Neurocognitive Disorders. ISBI Qianqian Wang, Wei Wang, Yuqi Fang, Hong-Jun Li, Andrea Bozoki, Mingxia Liu
2025	—	`conf`	Unpaired Multi-site Brain MRI Harmonization with Image Style-Guided Latent Diffusion. MICCAI (3) Mengqi Wu, Minhui Yu, Weili Lin, Pew-Thian Yap, Mingxia Liu
2024	J	`jnl`	ACTION: Augmentation and Computation Toolbox for Brain Network Analysis with Functional MRI. CoRR Yuqi Fang, Junhao Zhang, Linmin Wang, Qianqian Wang, Mingxia Liu
2024	J	`jnl`	AEPL: Automated and Editable Prompt Learning for Brain Tumor Segmentation. CoRR Yongheng Sun, Mingxia Liu, Chunfeng Lian
2024	—	`conf`	Attention-Enhanced Fusion of Structural and Functional MRI for Analyzing HIV-Associated Asymptomatic Neurocognitive Impairment. MICCAI (11) Yuqi Fang, Wei Wang, Qianqian Wang, Hong-Jun Li, Mingxia Liu
2024	J	`jnl`	Augmentation-based Unsupervised Cross-Domain Functional MRI Adaptation for Major Depressive Disorder Identification. CoRR Yunling Ma, Chaojun Zhang, Xiaochuan Wang, Qianqian Wang, Liang Cao, Limei Zhang, Mingxia Liu
2024	J	`jnl`	Disentangled Latent Energy-Based Style Translation: An Image-Level Structural MRI Harmonization Framework. CoRR Mengqi Wu, Lintao Zhang, Pew-Thian Yap, Hongtu Zhu, Mingxia Liu
2024	J	`jnl`	Federated learning for medical image analysis: A survey. Pattern Recognit. Hao Guan, Pew-Thian Yap, Andrea Bozoki, Mingxia Liu
2024	J	`jnl`	Functional Imaging Constrained Diffusion for Brain PET Synthesis from Structural MRI. CoRR Minhui Yu, Mengqi Wu, Ling Yue, Andrea Bozoki, Mingxia Liu
2024	J	`jnl`	Graph Convolutional Network With Self-Supervised Learning for Brain Disease Classification. IEEE ACM Trans. Comput. Biol. Bioinform. Guangyu Wang, Ying Chu, Qianqian Wang, Limei Zhang, Lishan Qiao, Mingxia Liu
2024	J	`jnl`	Hybrid representation learning for cognitive diagnosis in late-life depression over 5 years with structural MRI. Medical Image Anal. Lintao Zhang, Lihong Wang, Minhui Yu, Rong Wu, David C. Steffens, Guy G. Potter, Mingxia Liu
2024	J	`jnl`	Iterative Learning for Joint Image Denoising and Motion Artifact Correction of 3D Brain MRI. CoRR Lintao Zhang, Mengqi Wu, Lihong Wang, David C. Steffens, Guy G. Potter, Mingxia Liu
2024	J	`jnl`	Learning functional brain networks with heterogeneous connectivities for brain disease identification. Neural Networks Chaojun Zhang, Yunling Ma, Lishan Qiao, Limei Zhang, Mingxia Liu
2024	J	`jnl`	Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI. IEEE Trans. Biomed. Eng. Qianqian Wang, Wei Wang, Yuqi Fang, Pew-Thian Yap, Hongtu Zhu, Hong-Jun Li, Lishan Qiao, Mingxia Liu
2024	J	`jnl`	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	J	`jnl`	R2Gen-Mamba: A Selective State Space Model for Radiology Report Generation. CoRR Yongheng Sun, Yueh Z. Lee, Genevieve A. Woodard, Hongtu Zhu, Chunfeng Lian, Mingxia Liu
2024	J	`jnl`	Topology-Aware Graph Augmentation for Predicting Clinical Trajectories in Neurocognitive Disorders. CoRR Qianqian Wang, Wei Wang, Yuqi Fang, Hong-Jun Li, Andrea Bozoki, Mingxia Liu
2024	J	`jnl`	Triplet-constrained deep hashing for chest X-ray image retrieval in COVID-19 assessment. Neural Networks Linmin Wang, Qianqian Wang, Xiaochuan Wang, Yunling Ma, Limei Zhang, Mingxia Liu
2024	J	`jnl`	Unpaired Volumetric Harmonization of Brain MRI with Conditional Latent Diffusion. CoRR Mengqi Wu, Minhui Yu, Shuaiming Jing, Pew-Thian Yap, Zhengwu Zhang, Mingxia Liu
2023	J	`jnl`	Attention-Guided Autoencoder for Automated Progression Prediction of Subjective Cognitive Decline With Structural MRI. IEEE J. Biomed. Health Informatics Hao Guan, Ling Yue, Pew-Thian Yap, Shifu Xiao, Andrea Bozoki, Mingxia Liu
2023	J	`jnl`	Brain Anatomy Prior Modeling to Forecast Clinical Progression of Cognitive Impairment with Structural MRI. CoRR Lintao Zhang, Jinjian Wu, Lihong Wang, Li Wang, David C. Steffens, Shijun Qiu, Guy G. Potter, Mingxia Liu
2023	—	`conf`	Brain Anatomy-Guided MRI Analysis for Assessing Clinical Progression of Cognitive Impairment with Structural MRI. MICCAI (8) Lintao Zhang, Jinjian Wu, Lihong Wang, Li Wang, David C. Steffens, Shijun Qiu, Guy G. Potter, Mingxia Liu
2023	—	`conf`	Deep Bayesian Quantization for Supervised Neuroimage Search. MLMI@MICCAI (2) Erkun Yang, Cheng Deng, Mingxia Liu
2023	J	`jnl`	DomainATM: Domain adaptation toolbox for medical data analysis. NeuroImage Hao Guan, Mingxia Liu
2023	J	`jnl`	Federated Learning for Medical Image Analysis: A Survey. CoRR Hao Guan, Mingxia Liu
2023	—	`conf`	Hybrid Multimodality Fusion with Cross-Domain Knowledge Transfer to Forecast Progression Trajectories in Cognitive Decline. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI Minhui Yu, Yunbi Liu, Jinjian Wu, Andrea Bozoki, Shijun Qiu, Ling Yue, Mingxia Liu
2023	J	`jnl`	Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI. CoRR Qianqian Wang, Wei Wang, Yuqi Fang, Pew-Thian Yap, Hongtu Zhu, Hong-Jun Li, Lishan Qiao, Mingxia Liu
2023	J	`jnl`	Preserving Specificity in Federated Graph Learning for fMRI-based Neurological Disorder Identification. CoRR Junhao Zhang, Qianqian Wang, Xiaochuan Wang, Lishan Qiao, Mingxia Liu
2023	J	`jnl`	Source-Free Collaborative Domain Adaptation via Multi-Perspective Feature Enrichment for Functional MRI Analysis. CoRR Yuqi Fang, Jinjian Wu, Qianqian Wang, Shijun Qiu, Andrea Bozoki, Huaicheng Yan, Mingxia Liu
2023	J	`jnl`	Source-Free Unsupervised Domain Adaptation: A Survey. CoRR Yuqi Fang, Pew-Thian Yap, Weili Lin, Hongtu Zhu, Mingxia Liu
2023	—	`conf`	Specificity-Aware Federated Graph Learning for Brain Disorder Analysis with Functional MRI. MLMI@MICCAI (2) Junhao Zhang, Xiaochuan Wang, Qianqian Wang, Lishan Qiao, Mingxia Liu
2023	—	`conf`	Structural MRI Harmonization via Disentangled Latent Energy-Based Style Translation. MLMI@MICCAI (1) Mengqi Wu, Lintao Zhang, Pew-Thian Yap, Weili Lin, Hongtu Zhu, Mingxia Liu
2023	—	`conf`	Triplet Learning for Chest X-Ray Image Search in Automated COVID-19 Analysis. MLMI@MICCAI (2) Linmin Wang, Qianqian Wang, Xiaochuan Wang, Yunling Ma, Lishan Qiao, Mingxia Liu
2023	J	`jnl`	Unsupervised cross-domain functional MRI adaptation for automated major depressive disorder identification. Medical Image Anal. Yuqi Fang, Mingliang Wang, Guy G. Potter, Mingxia Liu
2022	J	`jnl`	Adaptive Multimodal Neuroimage Integration for Major Depression Disorder Detection. Frontiers Neuroinformatics Qianqian Wang, Long Li, Lishan Qiao, Mingxia Liu
2022	J	`jnl`	Assessing clinical progression from subjective cognitive decline to mild cognitive impairment with incomplete multi-modal neuroimages. Medical Image Anal. Yunbi Liu, Ling Yue, Shifu Xiao, Wei Yang, Dinggang Shen, Mingxia Liu
2022	J	`jnl`	Attention-Guided Autoencoder for Automated Progression Prediction of Subjective Cognitive Decline with Structural MRI. CoRR Hao Guan, Ling Yue, Pew-Thian Yap, Andrea Bozoki, Mingxia Liu
2022	J	`jnl`	Attention-Guided Hybrid Network for Dementia Diagnosis With Structural MR Images. IEEE Trans. Cybern. Chunfeng Lian, Mingxia Liu, Yongsheng Pan, Dinggang Shen
2022	J	`jnl`	Consistent connectome landscape mining for cross-site brain disease identification using functional MRI. Medical Image Anal. Mingliang Wang, Daoqiang Zhang, Jiashuang Huang, Mingxia Liu, Qingshan Liu
2022	J	`jnl`	Distribution-Guided Network Thresholding for Functional Connectivity Analysis in fMRI-Based Brain Disorder Identification. IEEE J. Biomed. Health Informatics Zhengdong Wang, Biao Jie, Chunxiang Feng, Taochun Wang, Weixin Bian, Xintao Ding, Wen Zhou, Mingxia Liu
2022	J	`jnl`	Domain Adaptation for Medical Image Analysis: A Survey. IEEE Trans. Biomed. Eng. Hao Guan, Mingxia Liu
2022	—	`conf`	Domain-Prior-Induced Structural MRI Adaptation for Clinical Progression Prediction of Subjective Cognitive Decline. MICCAI (1) Minhui Yu, Hao Guan, Yuqi Fang, Ling Yue, Mingxia Liu
2022	J	`jnl`	DomainATM: Domain Adaptation Toolbox for Medical Data Analysis. CoRR Hao Guan, Mingxia Liu
2022	J	`jnl`	Editorial: Weakly supervised deep learning-based methods for brain image analysis. Frontiers Neuroinformatics Hancan Zhu, Mingxia Liu, Zhenyu Tang, Shuai Wang
2022	J	`jnl`	Efficient Partitioning Method for Optimizing the Compression on Array Data. J. Comput. Sci. Technol. Shuai Han, Mingxia Liu, Jian-Zhong Li
2022	J	`jnl`	Estimating high-order brain functional networks by correlation-preserving embedding. Medical Biol. Eng. Comput. Hui Su, Limei Zhang, Lishan Qiao, Mingxia Liu
2022	—	`conf`	Fast Image-Level MRI Harmonization via Spectrum Analysis. MLMI@MICCAI Hao Guan, Siyuan Liu, Weili Lin, Pew-Thian Yap, Mingxia Liu
2022	—	`conf`	Function MRI Representation Learning via Self-supervised Transformer for Automated Brain Disorder Analysis. MLMI@MICCAI Qianqian Wang, Lishan Qiao, Mingxia Liu
2022	J	`jnl`	Hybrid Representation Learning for Cognitive Diagnosis in Late-Life Depression Over 5 Years with Structural MRI. CoRR Lintao Zhang, Lihong Wang, Minhui Yu, Rong Wu, David C. Steffens, Guy G. Potter, Mingxia Liu
2022	J	`jnl`	Multi-Task Weakly-Supervised Attention Network for Dementia Status Estimation With Structural MRI. IEEE Trans. Neural Networks Learn. Syst. Chunfeng Lian, Mingxia Liu, Li Wang, Dinggang Shen
2022	J	`jnl`	Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI. Medical Image Anal. Nan Wang, Dongren Yao, Lizhuang Ma, Mingxia Liu
2022	J	`jnl`	Multiview Feature Learning With Multiatlas-Based Functional Connectivity Networks for MCI Diagnosis. IEEE Trans. Cybern. Yu Zhang, Han Zhang, Ehsan Adeli, Xiaobo Chen, Mingxia Liu, Dinggang Shen
2022	—	`conf`	Prediction of HPV-Associated Genetic Diversity for Squamous Cell Carcinoma of Head and Neck Cancer Based on MLMI@MICCAI Yuqi Fang, Jorge Daniel Oldan, Weili Lin, Travis Parke Schrank, Wendell Gray Yarbrough, Natalia Isaeva, Mingxia Liu
2022	—	`conf`	Understanding Clinical Progression of Late-Life Depression to Alzheimer's Disease Over 5 Years with Structural MRI. MLMI@MICCAI Lintao Zhang, Minhui Yu, Lihong Wang, David C. Steffens, Rong Wu, Guy G. Potter, Mingxia Liu
2021	J	`jnl`	A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity. IEEE Trans. Medical Imaging Dongren Yao, Jing Sui, Mingliang Wang, Erkun Yang, Yeerfan Jiaerken, Na Luo, Pew-Thian Yap, Mingxia Liu, Dinggang Shen
2021	J	`jnl`	Boundary Coding Representation for Organ Segmentation in Prostate Cancer Radiotherapy. IEEE Trans. Medical Imaging Shuai Wang, Mingxia Liu, Jun Lian, Dinggang Shen
2021	—	`conf`	Cost-Sensitive Meta-learning for Progress Prediction of Subjective Cognitive Decline with Brain Structural MRI. MICCAI (5) Hao Guan, Yunbi Liu, Shifu Xiao, Ling Yue, Mingxia Liu
2021	J	`jnl`	Deep Bayesian Hashing With Center Prior for Multi-Modal Neuroimage Retrieval. IEEE Trans. Medical Imaging Erkun Yang, Mingxia Liu, Dongren Yao, Bing Cao, Chunfeng Lian, Pew-Thian Yap, Dinggang Shen
2021	—	`conf`	Deep Factor Regression For Computer-Aided Analysis of Major Depressive Disorders With Structural MRI Data. ISBI Erkun Yang, Lihong Wang, David C. Steffens, Guy G. Potter, Mingxia Liu
2021	J	`jnl`	Domain Adaptation for Medical Image Analysis: A Survey. CoRR Hao Guan, Mingxia Liu
2021	J	`jnl`	Estimating sparse functional connectivity networks via hyperparameter-free learning model. Artif. Intell. Medicine Lei Sun, Yanfang Xue, Yining Zhang, Lishan Qiao, Limei Zhang, Mingxia Liu
2021	—	`conf`	Extracting Sequential Features from Dynamic Connectivity Network with rs-fMRI Data for AD Classification. MLMI@MICCAI Kai Lin, Biao Jie, Peng Dong, Xintao Ding, Weixin Bian, Mingxia Liu
2021	J	`jnl`	Group-Wise Learning for Aurora Image Classification With Multiple Representations. IEEE Trans. Cybern. Jun Zhang, Mingxia Liu, Ke Lu, Yue Gao
2021	—	`conf`	Improving Tuberculosis Recognition on Bone-Suppressed Chest X-Rays Guided by Task-Specific Features. PRIME@MICCAI Yunbi Liu, Genggeng Qin, Yun Liu, Mingxia Liu, Wei Yang
2021	—	`conf`	Integrating Multimodal MRIs for Adult ADHD Identification with Heterogeneous Graph Attention Convolutional Network. PRIME@MICCAI Dongren Yao, Erkun Yang, Li Sun, Jing Sui, Mingxia Liu
2021	—	`conf`	Integration of Handcrafted and Embedded Features from Functional Connectivity Network with rs-fMRI forBrain Disease Classification. MLMI@MICCAI Peng Dong, Biao Jie, Lin Kai, Xintao Ding, Weixin Bian, Mingxia Liu
2021	J	`jnl`	Joint fully convolutional and graph convolutional networks for weakly-supervised segmentation of pathology images. Medical Image Anal. Jun Zhang, Zhiyuan Hua, Kezhou Yan, Kuan Tian, Jianhua Yao, Eryun Liu, Mingxia Liu, Xiao Han
2021	—	`conf`	Learning Transferable 3D-CNN for MRI-Based Brain Disorder Classification from Scratch: An Empirical Study. MLMI@MICCAI Hao Guan, Li Wang, Dongren Yao, Andrea Bozoki, Mingxia Liu
2021	J	`jnl`	Modeling dynamic characteristics of brain functional connectivity networks using resting-state functional MRI. Medical Image Anal. Mingliang Wang, Jiashuang Huang, Mingxia Liu, Daoqiang Zhang
2021	J	`jnl`	Multi-Scale Context-Guided Deep Network for Automated Lesion Segmentation With Endoscopy Images of Gastrointestinal Tract. IEEE J. Biomed. Health Informatics Shuai Wang, Yang Cong, Hancan Zhu, Xianyi Chen, Liangqiong Qu, Huijie Fan, Qiang Zhang, Mingxia Liu
2021	J	`jnl`	Multi-Scale Graph Representation Learning for Autism Identification With Functional MRI. Frontiers Neuroinformatics Ying Chu, Guangyu Wang, Liang Cao, Lishan Qiao, Mingxia Liu
2021	—	`conf`	Multi-Source Domain Adaptation via Optimal Transport for Brain Dementia Identification. ISBI Hao Guan, Li Wang, Mingxia Liu
2021	J	`jnl`	Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification. Medical Image Anal. Hao Guan, Yunbi Liu, Erkun Yang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu
2021	J	`jnl`	Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images. Pattern Recognit. Kelei He, Wei Zhao, Xingzhi Xie, Wen Ji, Mingxia Liu, Zhenyu Tang, Yinghuan Shi, Feng Shi, Yang Gao, Jun Liu, Junfeng Zhang, Dinggang Shen
2021	—	`conf`	Tensor-Based Multi-index Representation Learning for Major Depression Disorder Detection with Resting-State fMRI. MICCAI (5) Dongren Yao, Erkun Yang, Hao Guan, Jing Sui, Zhizhong Zhang, Mingxia Liu
2021	J	`jnl`	Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack. CoRR Mengting Xu, Tao Zhang, Zhongnian Li, Mingxia Liu, Daoqiang Zhang
2021	J	`jnl`	Towards evaluating the robustness of deep diagnostic models by adversarial attack. Medical Image Anal. Mengting Xu, Tao Zhang, Zhongnian Li, Mingxia Liu, Daoqiang Zhang
2020	J	`jnl`	A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis. CoRR Li Zhang, Mingliang Wang, Mingxia Liu, Daoqiang Zhang
2020	J	`jnl`	Anatomical Attention Guided Deep Networks for ROI Segmentation of Brain MR Images. IEEE Trans. Medical Imaging Liang Sun, Wei Shao, Daoqiang Zhang, Mingxia Liu
2020	—	`conf`	Attention-Guided Deep Domain Adaptation for Brain Dementia Identification with Multi-site Neuroimaging Data. DART/DCL@MICCAI Hao Guan, Erkun Yang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu
2020	—	`conf`	Constructing High-Order Dynamic Functional Connectivity Networks from Resting-State fMRI for Brain Dementia Identification. MLMI@MICCAI Chunxiang Feng, Biao Jie, Xintao Ding, Daoqiang Zhang, Mingxia Liu
2020	J	`jnl`	Context-guided fully convolutional networks for joint craniomaxillofacial bone segmentation and landmark digitization. Medical Image Anal. 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
2020	—	`conf`	Deep Disentangled Hashing with Momentum Triplets for Neuroimage Search. MICCAI (1) Erkun Yang, Dongren Yao, Bing Cao, Hao Guan, Pew-Thian Yap, Dinggang Shen, Mingxia Liu
2020	J	`jnl`	Designing weighted correlation kernels in convolutional neural networks for functional connectivity based brain disease diagnosis. Medical Image Anal. Biao Jie, Mingxia Liu, Chunfeng Lian, Feng Shi, Dinggang Shen
2020	J	`jnl`	Erratum to "Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting". IEEE Trans. Medical Imaging Zhenghan Fang, Yong Chen, Mingxia Liu, Lei Xiang, Qian Zhang, Qian Wang, Weili Lin, Dinggang Shen
2020	—	`conf`	Generating Dual-Energy Subtraction Soft-Tissue Images from Chest Radiographs via Bone Edge-Guided GAN. MICCAI (2) Yunbi Liu, Mingxia Liu, Yuhua Xi, Genggeng Qin, Dinggang Shen, Wei Yang
2020	A*	`conf`	Graph-Based Decoding Model for Functional Alignment of Unaligned fMRI Data. AAAI Weida Li, Mingxia Liu, Fang Chen, Daoqiang Zhang
2020	J	`jnl`	Hierarchical Fully Convolutional Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI. IEEE Trans. Pattern Anal. Mach. Intell. Chunfeng Lian, Mingxia Liu, Jun Zhang, Dinggang Shen
2020	J	`jnl`	Hierarchical Structured Sparse Learning for Schizophrenia Identification. Neuroinformatics Mingliang Wang, Xiaoke Hao, Jiashuang Huang, Kangcheng Wang, Li Shen, Xijia Xu, Daoqiang Zhang, Mingxia Liu
2020	J	`jnl`	High-Order Feature Learning for Multi-Atlas Based Label Fusion: Application to Brain Segmentation With MRI. IEEE Trans. Image Process. Liang Sun, Wei Shao, Mingliang Wang, Daoqiang Zhang, Mingxia Liu
2020	J	`jnl`	Identifying Autism Spectrum Disorder With Multi-Site fMRI via Low-Rank Domain Adaptation. IEEE Trans. Medical Imaging Mingliang Wang, Daoqiang Zhang, Jiashuang Huang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu
2020	—	`conf`	Joint Neuroimage Synthesis and Representation Learning for Conversion Prediction of Subjective Cognitive Decline. MICCAI (7) Yunbi Liu, Yongsheng Pan, Wei Yang, Zhenyuan Ning, Ling Yue, Mingxia Liu, Dinggang Shen
2020	—	`conf`	LDGAN: Longitudinal-Diagnostic Generative Adversarial Network for Disease Progression Prediction with Missing Structural MRI. MLMI@MICCAI Zhenyuan Ning, Yu Zhang, Yongsheng Pan, Tao Zhong, Mingxia Liu, Dinggang Shen
2020	—	`conf`	Linking Adolescent Brain MRI to Obesity via Deep Multi-cue Regression Network. MLMI@MICCAI Hao Guan, Erkun Yang, Li Wang, Pew-Thian Yap, Mingxia Liu, Dinggang Shen
2020	—	`ed.`	Machine Learning in Medical Imaging - 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings MLMI@MICCAI Mingxia Liu, Pingkun Yan, Chunfeng Lian, Xiaohuan Cao
2020	J	`jnl`	Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data. Medical Image Anal. Tao Zhou, Kim-Han Thung, Mingxia Liu, Feng Shi, Changqing Zhang, Dinggang Shen
2020	J	`jnl`	NLH: A Blind Pixel-Level Non-Local Method for Real-World Image Denoising. IEEE Trans. Image Process. Yingkun Hou, Jun Xu, Mingxia Liu, Guanghai Liu, Li Liu, Fan Zhu, Ling Shao
2020	J	`jnl`	Nyström Subspace Learning for Large-scale SVMs. CoRR Weida Li, Mingxia Liu, Daoqiang Zhang
2020	J	`jnl`	Querying Representative and Informative Super-Pixels for Filament Segmentation in Bioimages. IEEE ACM Trans. Comput. Biol. Bioinform. Wei Shao, Sheng-Jun Huang, Mingxia Liu, Daoqiang Zhang
2020	J	`jnl`	Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network. IEEE Trans. Biomed. Eng. Mingliang Wang, Chunfeng Lian, Dongren Yao, Daoqiang Zhang, Mingxia Liu, Dinggang Shen
2020	J	`jnl`	Spatially-Constrained Fisher Representation for Brain Disease Identification With Incomplete Multi-Modal Neuroimages. IEEE Trans. Medical Imaging Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Yong Xia, Dinggang Shen
2020	J	`jnl`	Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images. CoRR Kelei He, Wei Zhao, Xingzhi Xie, Wen Ji, Mingxia Liu, Zhenyu Tang, Feng Shi, Yang Gao, Jun Liu, Junfeng Zhang, Dinggang Shen
2020	—	`conf`	Temporal-Adaptive Graph Convolutional Network for Automated Identification of Major Depressive Disorder Using Resting-State fMRI. MLMI@MICCAI Dongren Yao, Jing Sui, Erkun Yang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu
2020	J	`jnl`	Weakly Supervised Deep Learning for Brain Disease Prognosis Using MRI and Incomplete Clinical Scores. IEEE Trans. Cybern. Mingxia Liu, Jun Zhang, Chunfeng Lian, Dinggang Shen
2019	—	`conf`	Adaptive Thresholding of Functional Connectivity Networks for fMRI-Based Brain Disease Analysis. GLMI@MICCAI Zhengdong Wang, Biao Jie, Weixin Bian, Daoqiang Zhang, Dinggang Shen, Mingxia Liu
2019	J	`jnl`	Brain-Wide Genome-Wide Association Study for Alzheimer's Disease via Joint Projection Learning and Sparse Regression Model. IEEE Trans. Biomed. Eng. Tao Zhou, Kim-Han Thung, Mingxia Liu, Dinggang Shen
2019	J	`jnl`	Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting. IEEE Trans. Medical Imaging Zhenghan Fang, Yong Chen, Mingxia Liu, Lei Xiang, Qian Zhang, Qian Wang, Weili Lin, Dinggang Shen
2019	—	`conf`	Deep Multi-modal Latent Representation Learning for Automated Dementia Diagnosis. MICCAI (4) Tao Zhou, Mingxia Liu, Huazhu Fu, Jun Wang, Jianbing Shen, Ling Shao, Dinggang Shen
2019	—	`conf`	Discriminative-Region-Aware Residual Network for Adolescent Brain Structure and Cognitive Development Analysis. GLMI@MICCAI Yongsheng Pan, Mingxia Liu, Li Wang, Yong Xia, Dinggang Shen
2019	—	`conf`	Disease-Image Specific Generative Adversarial Network for Brain Disease Diagnosis with Incomplete Multi-modal Neuroimages. MICCAI (3) Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Yong Xia, Dinggang Shen
2019	—	`conf`	End-to-End Dementia Status Prediction from Brain MRI Using Multi-task Weakly-Supervised Attention Network. MICCAI (4) Chunfeng Lian, Mingxia Liu, Li Wang, Dinggang Shen
2019	J	`jnl`	First-year development of modules and hubs in infant brain functional networks. NeuroImage Xuyun Wen, Han Zhang, Gang Li, Mingxia Liu, Weiyan Yin, Weili Lin, Jun Zhang, Dinggang Shen
2019	A*	`conf`	Functional Connectivity Network Analysis with Discriminative Hub Detection for Brain Disease Identification. AAAI Mingliang Wang, Jiashuang Huang, Mingxia Liu, Daoqiang Zhang
2019	—	`ed.`	Graph Learning in Medical Imaging - First International Workshop, GLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings GLMI@MICCAI Daoqiang Zhang, Luping Zhou, Biao Jie, Mingxia Liu
2019	J	`jnl`	Graph-Kernel Based Structured Feature Selection for Brain Disease Classification Using Functional Connectivity Networks. IEEE Access Mi Wang, Biao Jie, Weixin Bian, Xintao Ding, Wen Zhou, Zhengdong Wang, Mingxia Liu
2019	—	`conf`	Graph-Kernel-Based Multi-task Structured Feature Selection on Multi-level Functional Connectivity Networks for Brain Disease Classification. GLMI@MICCAI Zhengdong Wang, Biao Jie, Mi Wang, Chunxiang Feng, Wen Zhou, Dinggang Shen, Mingxia Liu
2019	J	`jnl`	Joint Classification and Regression via Deep Multi-Task Multi-Channel Learning for Alzheimer's Disease Diagnosis. IEEE Trans. Biomed. Eng. Mingxia Liu, Jun Zhang, Ehsan Adeli, Dinggang Shen
2019	J	`jnl`	Latent Representation Learning for Alzheimer's Disease Diagnosis With Incomplete Multi-Modality Neuroimaging and Genetic Data. IEEE Trans. Medical Imaging Tao Zhou, Mingxia Liu, Kim-Han Thung, Dinggang Shen
2019	—	`ed.`	Machine Learning in Medical Imaging - 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings MLMI@MICCAI Heung-Il Suk, Mingxia Liu, Pingkun Yan, Chunfeng Lian
2019	—	`conf`	MeshSNet: Deep Multi-scale Mesh Feature Learning for End-to-End Tooth Labeling on 3D Dental Surfaces. MICCAI (6) Chunfeng Lian, Li Wang, Tai-Hsien Wu, Mingxia Liu, Francisca Durán, Ching-Chang Ko, Dinggang Shen
2019	J	`jnl`	Multi-task exclusive relationship learning for alzheimer's disease progression prediction with longitudinal data. Medical Image Anal. Mingliang Wang, Daoqiang Zhang, Dinggang Shen, Mingxia Liu
2019	J	`jnl`	Multimedia analysis for medical applications. Multim. Syst. Jun Zhang, Mingxia Liu, Yi Zhen
2019	J	`jnl`	NLH: A Blind Pixel-level Non-local Method for Real-world Image Denoising. CoRR Yingkun Hou, Jun Xu, Mingxia Liu, Guanghai Liu, Li Liu, Fan Zhu, Ling Shao
2019	J	`jnl`	Reliability-based robust multi-atlas label fusion for brain MRI segmentation. Artif. Intell. Medicine Liang Sun, Chen Zu, Wei Shao, Junye Guang, Daoqiang Zhang, Mingxia Liu
2019	J	`jnl`	Strength and similarity guided group-level brain functional network construction for MCI diagnosis. Pattern Recognit. Yu Zhang, Han Zhang, Xiaobo Chen, Mingxia Liu, Xiaofeng Zhu, Seong-Whan Lee, Dinggang Shen
2019	—	`conf`	Triplet Graph Convolutional Network for Multi-scale Analysis of Functional Connectivity Using Functional MRI. GLMI@MICCAI Dongren Yao, Mingxia Liu, Mingliang Wang, Chunfeng Lian, Jie Wei, Li Sun, Jing Sui, Dinggang Shen
2019	—	`conf`	Unsupervised Conditional Consensus Adversarial Network for Brain Disease Identification with Structural MRI. MLMI@MICCAI Jing Zhang, Mingxia Liu, Yongsheng Pan, Dinggang Shen
2018	—	`conf`	A Color Image Watermarking Scheme Against Geometric Rotation Attacks Based on HVS and DCT-DWT. SPAC Yi-Lin Bei, Sai Qiao, Mingxia Liu, Xiaorong Zhu, Qian Zhang
2018	J	`jnl`	An Organelle Correlation-Guided Feature Selection Approach for Classifying Multi-Label Subcellular Bio-Images. IEEE ACM Trans. Comput. Biol. Bioinform. Wei Shao, Mingxia Liu, Ying-Ying Xu, Hong-Bin Shen, Daoqiang Zhang
2018	J	`jnl`	Anatomical Landmark Based Deep Feature Representation for MR Images in Brain Disease Diagnosis. IEEE J. Biomed. Health Informatics Mingxia Liu, Jun Zhang, Dong Nie, Pew-Thian Yap, Dinggang Shen
2018	—	`conf`	Deep Learning for Fast and Spatially-Constrained Tissue Quantification from Highly-Undersampled Data in Magnetic Resonance Fingerprinting (MRF). MLMI@MICCAI Zhenghan Fang, Yong Chen, Mingxia Liu, Yiqiang Zhan, Weili Lin, Dinggang Shen
2018	—	`conf`	Developing Novel Weighted Correlation Kernels for Convolutional Neural Networks to Extract Hierarchical Functional Connectivities from fMRI for Disease Diagnosis. MLMI@MICCAI Biao Jie, Mingxia Liu, Chunfeng Lian, Feng Shi, Dinggang Shen
2018	—	`conf`	Early Diagnosis of Autism Disease by Multi-channel CNNs. MLMI@MICCAI Guannan Li, Mingxia Liu, Quan-Sen Sun, Dinggang Shen, Li Wang
2018	J	`jnl`	Integration of temporal and spatial properties of dynamic connectivity networks for automatic diagnosis of brain disease. Medical Image Anal. Biao Jie, Mingxia Liu, Dinggang Shen
2018	J	`jnl`	Landmark-based deep multi-instance learning for brain disease diagnosis. Medical Image Anal. Mingxia Liu, Jun Zhang, Ehsan Adeli, Dinggang Shen
2018	—	`conf`	Low-Rank Representation for Multi-center Autism Spectrum Disorder Identification. MICCAI (1) Mingliang Wang, Daoqiang Zhang, Jiashuang Huang, Dinggang Shen, Mingxia Liu
2018	—	`ed.`	Machine Learning in Medical Imaging - 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings MLMI@MICCAI Yinghuan Shi, Heung-Il Suk, Mingxia Liu
2018	J	`jnl`	Multi-Hypergraph Learning for Incomplete Multimodality Data. IEEE J. Biomed. Health Informatics Mingxia Liu, Yue Gao, Pew-Thian Yap, Dinggang Shen
2018	J	`jnl`	Multi-Region Correlation Based Functional Brain Network for Disease Diagnosis and Cognitive States Detection. IEEE Access Qi Zhu, Jiuwen Zhu, Mingxia Liu, Xijia Xu, Daoqiang Zhang
2018	J	`jnl`	Multi-channel multi-scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images. Medical Image Anal. Chunfeng Lian, Jun Zhang, Mingxia Liu, Xiaopeng Zong, Sheng-Che Hung, Weili Lin, Dinggang Shen
2018	—	`conf`	Multi-modal Neuroimaging Data Fusion via Latent Space Learning for Alzheimer's Disease Diagnosis. PRIME@MICCAI Tao Zhou, Kim-Han Thung, Mingxia Liu, Feng Shi, Changqing Zhang, Dinggang Shen
2018	J	`jnl`	Ordinal Pattern: A New Descriptor for Brain Connectivity Networks. IEEE Trans. Medical Imaging Daoqiang Zhang, Jiashuang Huang, Biao Jie, Junqiang Du, Liyang Tu, Mingxia Liu
2018	J	`jnl`	Sub-Network Kernels for Measuring Similarity of Brain Connectivity Networks in Disease Diagnosis. IEEE Trans. Image Process. Biao Jie, Mingxia Liu, Daoqiang Zhang, Dinggang Shen
2018	—	`conf`	Synthesizing Missing PET from MRI with Cycle-consistent Generative Adversarial Networks for Alzheimer's Disease Diagnosis. MICCAI (3) Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Tao Zhou, Yong Xia, Dinggang Shen
2018	—	`conf`	Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis. MICCAI (3) Li Wang, Gang Li, Feng Shi, Xiaohuan Cao, Chunfeng Lian, Dong Nie, Mingxia Liu, Han Zhang, Guannan Li, Zhengwang Wu, Weili Lin, Dinggang Shen
2017	J	`jnl`	Alzheimer's Disease Diagnosis Using Landmark-Based Features From Longitudinal Structural MR Images. IEEE J. Biomed. Health Informatics Jun Zhang, Mingxia Liu, Le An, Yaozong Gao, Dinggang Shen
2017	J	`jnl`	Auroral event representation based on the n-ary fusion of multiple oriented energies. Neurocomputing Jun Zhang, Qian Wang, Zejun Hu, Mingxia Liu
2017	—	`conf`	Deep Multi-task Multi-channel Learning for Joint Classification and Regression of Brain Status. MICCAI (3) Mingxia Liu, Jun Zhang, Ehsan Adeli, Dinggang Shen
2017	J	`jnl`	Detecting Anatomical Landmarks From Limited Medical Imaging Data Using Two-Stage Task-Oriented Deep Neural Networks. IEEE Trans. Image Process. Jun Zhang, Mingxia Liu, Dinggang Shen
2017	J	`jnl`	Hypergraph regularized sparse feature learning. Neurocomputing Mingxia Liu, Jun Zhang, Xiaochun Guo, Liujuan Cao
2017	—	`conf`	Inter-subject Similarity Guided Brain Network Modeling for MCI Diagnosis. MLMI@MICCAI Yu Zhang, Han Zhang, Xiaobo Chen, Mingxia Liu, Xiaofeng Zhu, Dinggang Shen
2017	—	`conf`	Joint Craniomaxillofacial Bone Segmentation and Landmark Digitization by Context-Guided Fully Convolutional Networks. MICCAI (2) 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	J	`jnl`	Multi-Domain Transfer Learning for Early Diagnosis of Alzheimer's Disease. Neuroinformatics Bo Cheng, Mingxia Liu, Dinggang Shen, Zuoyong Li, Daoqiang Zhang
2017	J	`jnl`	Multimodal media data understanding and analysis. Neurocomputing Mingxia Liu, Liujuan Cao, Feng Lu, Yi Zhen
2017	J	`jnl`	Temporally Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease. IEEE Trans. Biomed. Eng. Biao Jie, Mingxia Liu, Jun Liu, Daoqiang Zhang, Dinggang Shen
2017	J	`jnl`	View-aligned hypergraph learning for Alzheimer's disease diagnosis with incomplete multi-modality data. Medical Image Anal. Mingxia Liu, Jun Zhang, Pew-Thian Yap, Dinggang Shen
2016	—	`conf`	3D Object Retrieval with Multimodal Views. 3DOR@Eurographics Yue Gao, Weizhi Nie, Anan Liu, Yuting Su, Qionghai Dai, Le An, Fuhai Chen, Liujuan Cao, Shuilong Dong, Yu De, Zan Gao, Jiayun Hao, Rongrong Ji, Haisheng Li, Mingxia Liu, Lili Pan, Yu Qiu, Liwei Wei, Zhao Wang, Hongjiang Wei, Yuyao Zhang, Jun Zhang, Yan Zhang, Yali Zheng
2016	—	`conf`	Diagnosis of Alzheimer's Disease Using View-Aligned Hypergraph Learning with Incomplete Multi-modality Data. MICCAI (1) Mingxia Liu, Jun Zhang, Pew-Thian Yap, Dinggang Shen
2016	J	`jnl`	Feature selection with effective distance. Neurocomputing Mingxia Liu, Daoqiang Zhang
2016	J	`jnl`	Human cell structure-driven model construction for predicting protein subcellular location from biological images. Bioinform. Wei Shao, Mingxia Liu, Daoqiang Zhang
2016	J	`jnl`	Inherent Structure-Based Multiview Learning With Multitemplate Feature Representation for Alzheimer's Disease Diagnosis. IEEE Trans. Biomed. Eng. Mingxia Liu, Daoqiang Zhang, Ehsan Adeli, Dinggang Shen
2016	J	`jnl`	Joint Binary Classifier Learning for ECOC-Based Multi-Class Classification. IEEE Trans. Pattern Anal. Mach. Intell. Mingxia Liu, Daoqiang Zhang, Songcan Chen, Hui Xue
2016	—	`conf`	Landmark-Based Alzheimer's Disease Diagnosis Using Longitudinal Structural MR Images. MCV/BAMBI@MICCAI Jun Zhang, Mingxia Liu, Le An, Yaozong Gao, Dinggang Shen
2016	—	`conf`	Ordinal Patterns for Connectivity Networks in Brain Disease Diagnosis. MICCAI (1) Mingxia Liu, Junqiang Du, Biao Jie, Daoqiang Zhang
2016	J	`jnl`	Pairwise Constraint-Guided Sparse Learning for Feature Selection. IEEE Trans. Cybern. Mingxia Liu, Daoqiang Zhang
2016	J	`jnl`	Relationship Induced Multi-Template Learning for Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment. IEEE Trans. Medical Imaging Mingxia Liu, Daoqiang Zhang, Dinggang Shen
2016	—	`conf`	Semi-supervised Hierarchical Multimodal Feature and Sample Selection for Alzheimer's Disease Diagnosis. MICCAI (2) Le An, Ehsan Adeli, Mingxia Liu, Jun Zhang, Dinggang Shen
2016	—	`conf`	Sub-network Based Kernels for Brain Network Classification. BCB Biao Jie, Mingxia Liu, Xi Jiang, Daoqiang Zhang
2015	J	`jnl`	Domain Transfer Learning for MCI Conversion Prediction. IEEE Trans. Biomed. Eng. Bo Cheng, Mingxia Liu, Daoqiang Zhang, Brent C. Munsell, Dinggang Shen
2015	—	`conf`	Inherent Structure-Guided Multi-view Learning for Alzheimer's Disease and Mild Cognitive Impairment Classification. MLMI Mingxia Liu, Daoqiang Zhang, Dinggang Shen
2015	—	`conf`	Multimodal Multi-label Transfer Learning for Early Diagnosis of Alzheimer's Disease. MLMI Bo Cheng, Mingxia Liu, Daoqiang Zhang
2015	—	`conf`	Relationship Induced Multi-atlas Learning for Alzheimer's Disease Diagnosis. MCV@MICCAI Mingxia Liu, Daoqiang Zhang, Ehsan Adeli-Mosabbeb, Dinggang Shen
2014	J	`jnl`	Attribute relation learning for zero-shot classification. Neurocomputing Mingxia Liu, Daoqiang Zhang, Songcan Chen
2014	J	`jnl`	Sparsity Score: a Novel Graph-Preserving Feature Selection Method. Int. J. Pattern Recognit. Artif. Intell. Mingxia Liu, Daoqiang Zhang
2014	J	`jnl`	Two-Stage Cost-Sensitive Learning for Software Defect Prediction. IEEE Trans. Reliab. Mingxia Liu, Linsong Miao, Daoqiang Zhang
2012	B	`conf`	Cost-sensitive feature selection with application in software defect prediction. ICPR Linsong Miao, Mingxia Liu, Daoqiang Zhang
2012	—	`conf`	Learning Attribute Relation in Attribute-Based Zero-Shot Classification. IScIDE Mingxia Liu, Songcan Chen, Daoqiang Zhang
2012	B	`conf`	Sparsity Score: A new filter feature selection method based on graph. ICPR Mingxia Liu, Dan Sun, Daoqiang Zhang
2010	J	`jnl`	A new approach for texture classification in CBIR. Int. J. Comput. Appl. Technol. Shengju Sang, Mingxia Liu, Jing Liu, Qi An
2010	J	`jnl`	Semisubsampled Wavelet Transform Based Image Watermarking with Strong Robustness to Rotation Attacks. J. Multim. Yingkun Hou, Chunxia Zhao, Mingxia Liu, Zhengli Zhu, Deyun Yang
2008	—	`conf`	The Nonsubsampled Contourlet-Wavelet Hybrid Transform: Design and Application to Image Watermarking. CSSE (3) Yingkun Hou, Chunxia Zhao, Mingxia Liu, Deyun Yang
2007	—	`conf`	Image with Less Information Watermarking Algorithm Based on DWT. SNPD (3) Yingkun Hou, Xiangcai Zhu, Zhu Lili, Mingxia Liu