Zhong Xue

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 77

Top Venues

Publications

Tian-Hu Liu, Yan Zheng, Jia-Shang Lai, Yi-Feng Cheng, Si-Yuan Chen, Bao-Feng Mai, Ying Liu, Jia-Yi Li, Zhong Xue
Extracting visual navigation line between pineapple field rows based on an enhanced YOLOv5. Comput. Electron. Agric. 217 (2024)
Qingrui Sha, Kaicong Sun, Caiwen Jiang, Mingze Xu, Zhong Xue, Xiaohuan Cao, Dinggang Shen
Detail-preserving image warping by enforcing smooth image sampling. Neural Networks 178 (2024)
Jiyuan Liu, Xiao Zhang, Dongdong Gu, Xi Ouyang, Jiadong Zhang, Xuming He, Dinggang Shen, Zhong Xue
Semi-Supervised Domain-Adaptive Pulmonary Artery Segmentation via Uncertainty Guidance and Shape Strengthening. ISBI (2023)
Hongbiao Sun, Xiang Wang, Zheren Li, Aie Liu, Shaochun Xu, Qinling Jiang, Qingchu Li, Zhong Xue, Jing Gong, Lei Chen, Yi Xiao, Shiyuan Liu
Automated Rib Fracture Detection on Chest X-Ray Using Contrastive Learning. J. Imaging Inform. Medicine 36 (5) (2023)
Jinrong Yang, Xiang Li, Jie-Zhi Cheng, Zhong Xue, Feng Shi, Yuqing Ji, Xuechun Wang, Fan Yang
Segment aorta and localize landmarks simultaneously on noncontrast CT using a multitask learning framework for patients without severe vascular disease. Comput. Biol. Medicine 160 (2023)
Qingxia Wu, Hongna Tan, Zhi Qiao, Pei Dong, Dinggang Shen, Meiyun Wang, Zhong Xue
Cross-view Contrastive Mutual Learning Across Masked Autoencoders for Mammography Diagnosis. MLMI@MICCAI (2) (2023)
Wenqi Zhou, Xiao Zhang, Dongdong Gu, Sheng Wang, Jiayu Huo, Rui Zhang, Zhihao Jiang, Feng Shi, Zhong Xue, Yiqiang Zhan, Xi Ouyang, Dinggang Shen
HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images. MICCAI (3) (2023)
Yimeng Yang, Dongdong Gu, Xukun Zhang, Zhongxiang Ding, Fei Gao, Zhong Xue, Dinggang Shen
Reconstruction of 3D Fetal Brain MRI from 2D Cross-Sectional Acquisitions Using Unsupervised Learning Network. MLMI@MICCAI (1) (2023)
Lei Zhao, Lei Ma, Zhiming Cui, Jie Zheng, Zhong Xue, Feng Shi, Dinggang Shen
FAST-Net: A Coarse-to-fine Pyramid Network for Face-Skull Transformation. MLMI@MICCAI (2) (2023)
Zixu Zhuang, Liping Si, Sheng Wang, Kai Xuan, Xi Ouyang, Yiqiang Zhan, Zhong Xue, Lichi Zhang, Dinggang Shen, Weiwu Yao, Qian Wang
Knee Cartilage Defect Assessment by Graph Representation and Surface Convolution. IEEE Trans. Medical Imaging 42 (2) (2023)
Xiaoxian Xu, Ying Wei, Jie Zheng, Zhongxiang Ding, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Feng Shi, Dinggang Shen
Multi-Scale Supervised Contrastive Learning for Benign-Malignant Classification of Pulmonary Nodules in Chest Ct Scans. ISBI (2023)
Mudan Zhang, Xuntao Yin, Wuchao Li, Yan Zha, Xianchun Zeng, Xiaoyong Zhang, Jingjing Cui, Zhong Xue, Rongpin Wang, Chen Liu
A radiomics based approach using adrenal gland and periadrenal fat CT images to allocate COVID-19 health care resources fairly. BMC Medical Imaging 23 (1) (2023)
Nan Zhao, Yongsheng Pan, Kaicong Sun, Yuning Gu, Mianxin Liu, Zhong Xue, Han Zhang, Qing Yang, Fei Gao, Feng Shi, Dinggang Shen
Modeling Life-Span Brain Age from Large-Scale Dataset Based on Multi-level Information Fusion. MLMI@MICCAI (2) (2023)
Shanshan Guo, Jiadong Zhang, Dongdong Gu, Fei Gao, Yiqiang Zhan, Zhong Xue, Dinggang Shen
Contrastive Learning-Based Breast Tumor Segmentation in DCE-MRI. MLMI@MICCAI (1) (2023)
Zixu Zhuang, Xin Wang, Sheng Wang, Zhenrong Shen, Xiangyu Zhao, Mengjun Liu, Zhong Xue, Dinggang Shen, Lichi Zhang, Qian Wang
CAS-Net: Cross-View Aligned Segmentation by Graph Representation of Knees. MICCAI (4) (2023)
Kehao Deng, Bin Wang, Shanshan Ma, Zhong Xue, Xiaohuan Cao
A Bone Lesion Identification Network (BLIN) in CT Images with Weakly Supervised Learning. MLMI@MICCAI (2) (2023)
Linlin Yao, Feng Shi, Sheng Wang, Xiao Zhang, Zhong Xue, Xiaohuan Cao, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Dinggang Shen
TaG-Net: Topology-Aware Graph Network for Centerline-Based Vessel Labeling. IEEE Trans. Medical Imaging 42 (11) (2023)
Xibao Li, Xi Ouyang, Jiadong Zhang, Dongdong Gu, Zehong Cao, Zhongxiang Ding, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Yuyao Zhang, Feng Shi, Dinggang Shen
MT-NeT: Multi-Modality Transfer Learning Network for Automated Carotid Vessel Wall Segmentation using Sparse Annotation in MRI. ISBI (2023)
Linlin Yao, Zhong Xue, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Feng Shi, Dinggang Shen
TaG-Net: Topology-Aware Graph Network for Vessel Labeling. ISGIE/GRAIL@MICCAI (2022)
Linlin Yao, Zhong Xue, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Feng Shi, Dinggang Shen
Head and Neck Vessel Segmentation with Connective Topology Using Affinity Graph. MLMI@MICCAI (2022)
Zixu Zhuang, Liping Si, Sheng Wang, Kai Xuan, Xi Ouyang, Yiqiang Zhan, Zhong Xue, Lichi Zhang, Dinggang Shen, Weiwu Yao, Qian Wang
Knee Cartilage Defect Assessment by Graph Representation and Surface Convolution. CoRR (2022)
Zixu Zhuang, Sheng Wang, Liping Si, Kai Xuan, Zhong Xue, Dinggang Shen, Lichi Zhang, Weiwu Yao, Qian Wang
Local Graph Fusion of Multi-view MR Images for Knee Osteoarthritis Diagnosis. MICCAI (3) (2022)
Jiayu Huo, Xi Ouyang, Liping Si, Kai Xuan, Sheng Wang, Weiwu Yao, Ying Liu, Jia Xu, Dahong Qian, Zhong Xue, Qian Wang, Dinggang Shen, Lichi Zhang
Automatic Grading Assessments for Knee MRI Cartilage Defects via Self-ensembling Semi-supervised Learning with Dual-Consistency. Medical Image Anal. 80 (2022)
Ke Wu, Dongdong Gu, Peihong Qi, Xiaohuan Cao, Dijia Wu, Lei Chen, Guoxiang Qu, Jiayu Wang, Xianpan Pan, Xuechun Wang, Yuntian Chen, Lizhou Chen, Zhong Xue, Jinhao Lyu
Evaluation of an automated intracranial aneurysm detection and rupture analysis approach using cascade detection and classification networks. Comput. Medical Imaging Graph. 102 (2022)
Qingxia Wu, Hongna Tan, Yaping Wu, Pei Dong, Jifei Che, Zheren Li, Chenjin Lei, Dinggang Shen, Zhong Xue, Meiyun Wang
Whole Mammography Diagnosis via Multi-instance Supervised Discriminative Localization and Classification. MLMI@MICCAI (2022)
Dongdong Gu, Xiaohuan Cao, Guocai Liu, Zhong Xue, Dinggang Shen
Variational Encoding and Decoding for Hybrid Supervision of Registration Network. MLMI@MICCAI (2021)
Kai Xuan, Liping Si, Lichi Zhang, Zhong Xue, Yining Jiao, Weiwu Yao, Dinggang Shen, Dijia Wu, Qian Wang
Reducing magnetic resonance image spacing by learning without ground-truth. Pattern Recognit. 120 (2021)
Dongdong Gu, Guocai Liu, Xiaohuan Cao, Zhong Xue, Dinggang Shen
A consistent deep registration network with group data modeling. Comput. Medical Imaging Graph. 90 (2021)
Xi Ouyang, Jifei Che, Qitian Chen, Zheren Li, Yiqiang Zhan, Zhong Xue, Qian Wang, Jie-Zhi Cheng, Dinggang Shen
Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms. MICCAI (7) (2021)
Dongdong Gu, Xiaohuan Cao, Guocai Liu, Dinggang Shen, Zhong Xue
Multiresolution Registration Network (MRN) Hierarchy with Prior Knowledge Learning. MLMI@MICCAI (2021)
Dongdong Gu, Liyun Chen, Fei Shan, Liming Xia, Jun Liu, Zhanhao Mo, Fuhua Yan, Bin Song, Yaozong Gao, Xiaohuan Cao, Yanbo Chen, Ying Shao, Miaofei Han, Bin Wang, Guocai Liu, Qian Wang, Feng Shi, Dinggang Shen, Zhong Xue
Computing infection distributions and longitudinal evolution patterns in lung CT images. BMC Medical Imaging 21 (1) (2021)
Haoyi Tao, Yuanfang Qiao, Lichi Zhang, Yiqiang Zhan, Zhong Xue, Qian Wang
Anatomical Structure-Aware Pulmonary Nodule Detection via Parallel Multi-task RoI Head. PRIME@MICCAI (2021)
Zhenrong Shen, Xi Ouyang, Zhuochen Wang, Yiqiang Zhan, Zhong Xue, Qian Wang, Jie-Zhi Cheng, Dinggang Shen
Nodule Synthesis and Selection for Augmenting Chest X-ray Nodule Detection. PRCV (3) (2021)
Dongdong Gu, Guocai Liu, Zhong Xue
On the performance of lung nodule detection, segmentation and classification. Comput. Medical Imaging Graph. 89 (2021)
Zhuochen Wang, Tingting Huang, Bin Xiao, Jiayu Huo, Sheng Wang, Haoxiang Jiang, Heng Liu, Fan Wu, Xiang Sean Zhou, Zhong Xue, Jian Yang, Qian Wang
Self-guided Multi-attention Network for Periventricular Leukomalacia Recognition. PRIME@MICCAI (2021)
Zheren Li, Zhiming Cui, Sheng Wang, Yuji Qi, Xi Ouyang, Qitian Chen, Yuezhi Yang, Zhong Xue, Dinggang Shen, Jie-Zhi Cheng
Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning. MICCAI (7) (2021)
Xiaodan Xing, Yixin Ma, Lei Jin, Tianyang Sun, Zhong Xue, Feng Shi, Jinsong Wu, Dinggang Shen
A Multi-scale Graph Network with Multi-head Attention for Histopathology Image Diagnosisn. COMPAY@MICCAI (2021)
Sheng Wang, Zixu Zhuang, Kai Xuan, Dahong Qian, Zhong Xue, Jia Xu, Ying Liu, Yiming Chai, Lichi Zhang, Qian Wang, Dinggang Shen
3DMeT: 3D Medical Image Transformer for Knee Cartilage Defect Assessment. MLMI@MICCAI (2021)
Zheren Li, Zhiming Cui, Sheng Wang, Yuji Qi, Xi Ouyang, Qitian Chen, Yuezhi Yang, Zhong Xue, Dinggang Shen, Jie-Zhi Cheng
Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning. CoRR (2021)
Sheng Wang, Jiayu Huo, Xi Ouyang, Jifei Che, Zhong Xue, Dinggang Shen, Qian Wang, Jie-Zhi Cheng
NST: Multi-resolution and Multi-reference Neural Style Transfer for Mammography. PRIME@MICCAI (2020)
Fei Shan, Yaozong Gao, Jun Wang, Weiya Shi, Nannan Shi, Miaofei Han, Zhong Xue, Dinggang Shen, Yuxin Shi
Lung Infection Quantification of COVID-19 in CT Images with Deep Learning. CoRR (2020)
Liyun Chen, Xiaohuan Cao, Lei Chen, Yaozong Gao, Dinggang Shen, Qian Wang, Zhong Xue
Semantic Hierarchy Guided Registration Networks for Intra-subject Pulmonary CT Image Alignment. MICCAI (3) (2020)
Zhongqiang Liu, Dongdong Gu, Yu Zhang, Xiaohuan Cao, Zhong Xue
Automatic Segmentation of Non-tumor Tissues in Glioma MR Brain Images Using Deformable Registration with Partial Convolutional Networks. BrainLes@MICCAI (1) (2020)
Xiaodan Xing, Lili Jin, Qinfeng Li, Lei Chen, Zhong Xue, Ziwen Peng, Feng Shi, Dinggang Shen
Detection of Discriminative Neurological Circuits Using Hierarchical Graph Convolutional Networks in fMRI Sequences. UNSURE/GRAIL@MICCAI (2020)
Kai Xuan, Shanhui Sun, Zhong Xue, Qian Wang, Shu Liao
Learning MRI k-Space Subsampling Pattern Using Progressive Weight Pruning. MICCAI (2) (2020)
Jianyuan Zhang, Feng Shi, Lei Chen, Zhong Xue, Lichi Zhang, Dahong Qian
Ischemic Stroke Segmentation from CT Perfusion Scans Using Cluster-Representation Learning. MLCN/RNO-AI@MICCAI (2020)
Jiayu Huo, Liping Si, Xi Ouyang, Kai Xuan, Weiwu Yao, Zhong Xue, Qian Wang, Dinggang Shen, Lichi Zhang
A Self-ensembling Framework for Semi-supervised Knee Cartilage Defects Assessment with Dual-Consistency. PRIME@MICCAI (2020)
Sheng Wang, Jiayu Huo, Xi Ouyang, Jifei Che, Xuhua Ren, Zhong Xue, Qian Wang, Jie-Zhi Cheng
mr2NST: Multi-Resolution and Multi-Reference Neural Style Transfer for Mammography. CoRR (2020)
Jiayu Huo, Liping Si, Xi Ouyang, Kai Xuan, Weiwu Yao, Zhong Xue, Lichi Zhang, Qian Wang
A Self-ensembling Framework for Semi-supervised Knee Osteoarthritis Localization and Classification with Dual-Consistency. CoRR (2020)
Bin Xiao, Naying He, Qian Wang, Zhong Xue, Lei Chen, Fuhua Yan, Feng Shi, Dinggang Shen
Joint Appearance-Feature Domain Adaptation: Application to QSM Segmentation Transfer. MLMI@MICCAI (2020)
Dongming Wei, Sahar Ahmad, Jiayu Huo, Pu Huang, Pew-Thian Yap, Zhong Xue, Jianqi Sun, Wentao Li, Dinggang Shen, Qian Wang
SLIR: Synthesis, localization, inpainting, and registration for image-guided thermal ablation of liver tumors. Medical Image Anal. 65 (2020)
Dongdong Gu, Xiaohuan Cao, Shanshan Ma, Lei Chen, Guocai Liu, Dinggang Shen, Zhong Xue
Pair-Wise and Group-Wise Deformation Consistency in Deep Registration Network. MICCAI (3) (2020)
Tong Li, Kai Xuan, Zhong Xue, Lei Chen, Lichi Zhang, Dahong Qian
Cross-View Label Transfer in Knee MR Segmentation Using Iterative Context Learning. DART/DCL@MICCAI (2020)
Linlin Yao, Pengbo Jiang, Zhong Xue, Yiqiang Zhan, Dijia Wu, Lichi Zhang, Qian Wang, Feng Shi, Dinggang Shen
Graph Convolutional Network Based Point Cloud for Head and Neck Vessel Labeling. MLMI@MICCAI (2020)
Lin Wang, Zhong Xue, Chika F. Ezeana, Mamta Puppala, Shenyi Chen, Rebecca L. Danforth, Xiaohui Yu, Tiancheng He, Mark L. Vassallo, Stephen T. C. Wong
Preventing inpatient falls with injuries using integrative machine learning prediction: a cohort study. npj Digit. Medicine 2 (2019)
Yunhao Ge, Zhong Xue, Tuoyu Cao, Shu Liao
Unpaired whole-body MR to CT synthesis with correlation coefficient constrained adversarial learning. Medical Imaging: Image Processing (2019)
Qingfeng Li, Xiaodan Xing, Ying Sun, Bin Xiao, Hao Wei, Quan Huo, Minqing Zhang, Xiang Sean Zhou, Yiqiang Zhan, Zhong Xue, Feng Shi
Novel Iterative Attention Focusing Strategy for Joint Pathology Localization and Prediction of MCI Progression. MICCAI (4) (2019)
Bin Xiao, Xiaoqing Cheng, Qingfeng Li, Qian Wang, Lichi Zhang, Dongming Wei, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Guangming Lu, Feng Shi
Weakly Supervised Confidence Learning for Brain MR Image Dense Parcellation. MLMI@MICCAI (2019)
Dongming Wei, Sahar Ahmad, Jiayu Huo, Wen Peng, Yunhao Ge, Zhong Xue, Pew-Thian Yap, Wentao Li, Dinggang Shen, Qian Wang
Synthesis and Inpainting-Based MR-CT Registration for Image-Guided Thermal Ablation of Liver Tumors. CoRR (2019)
Yunhao Ge, Dongming Wei, Zhong Xue, Qian Wang, Xiang Zhou, Yiqiang Zhan, Shu Liao
Unpaired Mr to CT Synthesis with Explicit Structural Constrained Adversarial Learning. ISBI (2019)
Hao Wei, Xiangyu Tang, Minqing Zhang, Qingfeng Li, Xiaodan Xing, Xiang Sean Zhou, Zhong Xue, Wenzhen Zhu, Zailiang Chen, Feng Shi
Regression-Based Line Detection Network for Delineation of Largely Deformed Brain Midline. MICCAI (3) (2019)
Dongming Wei, Sahar Ahmad, Jiayu Huo, Wen Peng, Yunhao Ge, Zhong Xue, Pew-Thian Yap, Wentao Li, Dinggang Shen, Qian Wang
Synthesis and Inpainting-Based MR-CT Registration for Image-Guided Thermal Ablation of Liver Tumors. MICCAI (5) (2019)
Xi Ouyang, Zhong Xue, Yiqiang Zhan, Xiang Sean Zhou, Qingfeng Wang, Ying Zhou, Qian Wang, Jie-Zhi Cheng
Weakly Supervised Segmentation Framework with Uncertainty: A Study on Pneumothorax Segmentation in Chest X-ray. MICCAI (6) (2019)
Xiaodan Xing, Qingfeng Li, Hao Wei, Minqing Zhang, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Feng Shi
Dynamic Spectral Graph Convolution Networks with Assistant Task Training for Early MCI Diagnosis. MICCAI (4) (2019)
Kai Xuan, Dongming Wei, Dijia Wu, Zhong Xue, Yiqiang Zhan, Weiwu Yao, Qian Wang
Reconstruction of Isotropic High-Resolution MR Image from Multiple Anisotropic Scans Using Sparse Fidelity Loss and Adversarial Regularization. MICCAI (3) (2019)
Xiaohuan Cao, Jianhua Yang, Li Wang, Zhong Xue, Qian Wang, Dinggang Shen
Deep Learning based Inter-Modality Image Registration Supervised by Intra-Modality Similarity. CoRR (2018)
Xiaohuan Cao, Jianhuan Yang, Li Wang, Zhong Xue, Qian Wang, Dinggang Shen
Deep Learning Based Inter-modality Image Registration Supervised by Intra-modality Similarity. MLMI@MICCAI (2018)
Jingfan Fan, Xiaohuan Cao, Zhong Xue, Pew-Thian Yap, Dinggang Shen
Adversarial Similarity Network for Evaluating Image Alignment in Deep Learning Based Registration. MICCAI (1) (2018)
Tiancheng He, Ramiro Pino, Bin S. Teh, Stephen T. Wong, Zhong Xue
Dynamic Respiratory Motion Estimation Using Patch-Based Kernel-PCA Priors for Lung Cancer Radiotherapy. CMMI/RAMBO/SWITCH@MICCAI (2017)
Danping Li, Lei Wang, Jiajun Wang, Zhong Xue, Stephen T. C. Wong
Transductive local fisher discriminant analysis for gene expression profile-based cancer classification. BHI (2017)
Elijah D. Rockers, Maria B. Pascual, Sahil Bajaj, Joseph C. Masdeu, Zhong Xue
Quantitative Analysis of 3D T1-Weighted Gadolinium (Gd) DCE-MRI with Different Repetition Times. MIAR (2016)
Lei Wang, Danping Li, Tiancheng He, Zhong Xue
Manifold Regularized Multi-view Subspace Clustering for image representation. ICPR (2016)
Qinglin Zhao, Bin Hu, Wenhua Lin, Zhixue Li, Hua Jiang, Zhong Xue, Hongqian Li, Quanying Liu
Nonlinear dynamic analysis of resting EEG alpha activity for heroin addicts. BIBM (2016)
Danping Li, Lei Wang, Zhong Xue, Stephen T. C. Wong
When discriminative K-means meets Grassmann manifold: Disease gene identification via a general multi-view clustering method. BHI (2016)
Zhong Xue, Ramiro Pino, Bin S. Teh
Estimating Lung Respiratory Motion Using Combined Global and Local Statistical Models. Patch-MI@MICCAI (2016)
Lei Wang, Danping Li, Tiancheng He, Stephen T. C. Wong, Zhong Xue
Transductive Maximum Margin Classification of ADHD Using Resting State fMRI. MLMI@MICCAI (2016)
Tiancheng He, Zhong Xue, Stephen T. Wong
A three-dimensional medical image segmentation app using graphic theory. BHI (2016)
Tiancheng He, Zhong Xue, Nam Yu, Paige L. Nitsch, Bin S. Teh, Stephen T. Wong
Estimating Dynamic Lung Images from High-Dimension Chest Surface Motion Using 4D Statistical Model. MICCAI (2) (2014)
Tiancheng He, Zhong Xue, Nam Yu, Bin S. Teh, Stephen T. Wong
Spatial-Temporal Image-Constrained Lung 4D-CT Reconstruction for Radiotherapy Planning. CLIP@MICCAI (2014)
Hai Li, Zhong Xue, Mario F. Dulay, Amit Verma, Christof Karmonik, Robert G. Grossman, Stephen T. C. Wong
Fractional anisotropy asymmetry and the side of seizure origin for partial onset-temporal lobe epilepsy. Comput. Medical Imaging Graph. 38 (6) (2014)
Kongkuo Lu, Zhong Xue, Stephen T. Wong
A robust semi-automatic approach for ROI segmentation in 3D CT images. EMBC (2013)
Tiancheng He, Zhong Xue, Paige L. Nitsch, Bin S. Teh, Stephen T. Wong
Helical Mode Lung 4D-CT Reconstruction Using Bayesian Model. MICCAI (3) (2013)
Hai Li, Zhong Xue, Timothy M. Ellmore, Richard E. Frye, Stephen T. Wong
Analyzing grey matter diffusivity of autism in the context of white matter connectivity. ISBI (2013)
Po Su, Jianhua Yang, Kongkuo Lu, Nam Yu, Stephen T. Wong, Zhong Xue
A Fast CT and CT-Fluoroscopy Registration Algorithm With Respiratory Motion Compensation for Image-Guided Lung Intervention. IEEE Trans. Biomed. Eng. 60 (7) (2013)
Zhong Xue, Stephen T. C. Wong
Simultaneous Tensor and Fiber Registration (STFR) for Diffusion Tensor Images of the Brain. AE-CAI (2013)
Po Su, Jianhua Yang, Hai Li, Linda Chi, Zhong Xue, Stephen T. Wong
Superpixel-Based Segmentation of Glioblastoma Multiforme from Multimodal MR Images. MBIA (2013)
Po Su, Zhong Xue, Kongkuo Lu, Jianhua Yang, Stephen T. Wong
Fast CT-CT fluoroscopy registration with respiratory motion compensation for image-guided lung intervention. Medical Imaging: Image-Guided Procedures (2012)
Kongkuo Lu, Sheng Xu, Zhong Xue, Stephen T. Wong
Live-wire-based segmentation of (3D) anatomical structures for image-guided lung interventions. Medical Imaging: Image Processing (2012)
Hai Li, Zhong Xue, Timothy M. Ellmore, Richard E. Frye, Stephen T. C. Wong
Identification of faulty DTI-based sub-networks in autism using network regularized SVM. ISBI (2012)
Tiancheng He, Zhong Xue, Stephen T. C. Wong
A novel approach for three dimensional dendrite spine segmentation and classification. Medical Imaging: Image Processing (2012)
Tiancheng He, Zhong Xue, Yong Kim, Stephen T. Wong
Three-dimensional dendritic spine detection based on minimal cross-sectional curvature. ISBI (2012)
Tiancheng He, Zhong Xue, Kongkuo Lu, Miguel Valdivia y Alvarado, Kelvin K. Wong, Weixin Xie, Stephen T. C. Wong
A minimally invasive multimodality image-guided (MIMIG) system for peripheral lung cancer intervention and diagnosis. Comput. Medical Imaging Graph. 36 (5) (2012)
Po Su, Zhong Xue, Linda Chi, Jianhua Yang, Stephen T. Wong
Support vector machine (SVM) active learning for automated Glioblastoma segmentation. ISBI (2012)
Taoyi Chen, Zhong Xue, Changhong Wang, Zhenshen Qu, Kelvin K. Wong, Stephen T. C. Wong
Motion correction for cellular-resolution multi-photon fluorescence microscopy imaging of awake head-restrained mice using speed embedded HMM. Comput. Medical Imaging Graph. 36 (3) (2012)
Kongkuo Lu, Sheng Xu, Zhong Xue, Stephen T. Wong
Automatic segmentation and centroid detection of skin sensors for lung interventions. Medical Imaging: Image-Guided Procedures (2012)
Xuan S. Yang, Zhong Xue, Xia Liu, Darong Xiong
Topology preservation evaluation of compact-support radial basis functions for image registration. Pattern Recognit. Lett. 32 (8) (2011)
Hai Li, Zhong Xue, Kemi Cui, Stephen T. C. Wong
Diffusion tensor-based fast marching for modeling human brain connectivity network. Comput. Medical Imaging Graph. 35 (3) (2011)
Zhong Xue, Dinggang Shen, Hai Li, Stephen T. C. Wong
Tissue probability map constrained 4D clustering algorithm for increased accuracy and robustness in SerialMR brain image segmentation. Int. J. Medical Eng. Informatics 3 (3) (2011)
Tiancheng He, Zhong Xue, Weixin Xie, Solomon Wong, Kelvin K. Wong, Miguel Valdivia y Alvarado, Stephen T. C. Wong
A Motion Correction Algorithm for Microendoscope Video Computing in Image-Guided Intervention. MIAR (2010)
Mahshid Farzinfar, Zhong Xue, Eam Khwang Teoh
A novel approach for curve evolution in segmentation of medical images. Comput. Medical Imaging Graph. 34 (5) (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Zhong Xue