A Novel Affine Invariant Feature Set and its Application in Motion Estimation. - Liya Chen; Zhongkang Lu; Eam Khwang Teoh; Zhong Xue (ICIP, 2000)

A Deformable Template Model Based on Fuzzy Alignment Algorithm. - Zhong Xue; Dinggang Shen; Eam Khwang Teoh (ICIP, 2000)

Efficient Object Matching Using Affine-Invariant Deformable Contour. - Zhong Xue; Stan Z. Li; Eam Khwang Teoh (ICPR, 2000)

A novel eigenvector approach to pose and correspondence estimation. - Zhong Xue; Eam Khwang Teoh (SMC, 2000)

Facial feature extraction and image warping using PCA based statistic model. - Zhong Xue; Stan Z. Li; Eam Khwang Teoh (ICIP (2), 2001)

An efficient fuzzy algorithm for aligning shapes under affine transformations. - Zhong Xue; Dinggang Shen; Eam Khwang Teoh (Pattern Recognit., 2001)

A novel Bayesian shape model for facial feature extraction. - Zhong Xue; Stan Z. Li; Dinggang Shen; Eam Khwang Teoh (ICARCV, 2002)

AI-EigenSnake: an affine-invariant deformable contour model for object matching. - Zhong Xue; Stan Z. Li; Eam Khwang Teoh (Image Vis. Comput., 2002)

Correspondence Detection Using Wavelet-Based Attribute Vectors. - Zhong Xue; Dinggang Shen; Christos Davatzikos (MICCAI (2), 2003)

Bayesian shape model for facial feature extraction and recognition. - Zhong Xue; Stan Z. Li; Eam Khwang Teoh (Pattern Recognit., 2003)

Morphological Classification of Medical Images using Nonlinear Support Vector Machines. - Christos Davatzikos; Dinggang Shen; Zhiqiang Lao; Zhong Xue; Bilge Karaçali (ISBI, 2004)

Morphological classification of brains via high-dimensional shape transformations and machine learning methods. - Zhiqiang Lao; Dinggang Shen; Zhong Xue; Bilge Karaçali; Susan M. Resnick; Christos Davatzikos (NeuroImage, 2004)

Determining correspondence in 3-D MR brain images using attribute vectors as morphological signatures of voxels. - Zhong Xue; Dinggang Shen; Christos Davatzikos (IEEE Trans. Medical Imaging, 2004)

Consistent Estimation of Cardiac Motions by 4D Image Registration. - Dinggang Shen; Hari Sundar; Zhong Xue; Yong Fan 001; Harold Litt (MICCAI (2), 2005)

Statistical Representation and Simulation of High-Dimensional Deformations: Application to Synthesizing Brain Deformations. - Zhong Xue; Dinggang Shen; Bilge Karaçali; Christos Davatzikos (MICCAI (2), 2005)

Statistically-Constrained High-Dimensional Warping Using Wavelet-Based Priors. - Zhong Xue; Dinggang Shen; Christos Davatzikos (CVPR Workshops, 2006)

Segmenting MR Images Using Fully-Tuned Radial Basis Functions (RBF). - Yan Li; Zhongming Li; Zhong Xue (ICARCV, 2006)

Segmenting Lung Fields in Serial Chest Radiographs Using Both Population and Patient-Specific Shape Statistics. - Yonghong Shi; Feihu Qi; Zhong Xue; Kyoko Ito; Hidenori Matsuo; Dinggang Shen (MICCAI (1), 2006)

Statistical representation of high-dimensional deformation fields with application to statistically constrained 3D warping. - Zhong Xue; Dinggang Shen; Christos Davatzikos (Medical Image Anal., 2006)

CLASSIC: Consistent Longitudinal Alignment and Segmentation for Serial Image Computing. - Zhong Xue; Dinggang Shen; Christos Davatzikos (NeuroImage, 2006)

Simulating deformations of MR brain images for validation of atlas-based segmentation and registration algorithms. - Zhong Xue; Dinggang Shen; Bilge Karaçali; Joshua Stern; David A. Rottenberg; Christos Davatzikos (NeuroImage, 2006)

Statistically-Constrained Deformable Registration of Mr Brain Images. - Zhong Xue; Dinggang Shen (ISBI, 2007)

Joint Parametric and Non-parametric Curve Evolution for Medical Image Segmentation. - Mahshid Farzinfar; Zhong Xue; Eam Khwang Teoh (ECCV (1), 2008)

A coupled implicit shape-based deformable model for segmentation of MR images. - Mahshid Farzinfar; Eam Khwang Teoh; Zhong Xue (ICARCV, 2008)

Joint Registration and Segmentation of Serial Lung CT Images in Microendoscopy Molecular Image-Guided Therapy. - Zhong Xue; Kelvin K. Wong; Stephen T. C. Wong (MIAR, 2008)

Improving Parenchyma Segmentation by Simultaneous Estimation of Tissue Property T1 Map and Group-Wise Registration of Inversion Recovery MR Breast Images. - Ye Xing; Zhong Xue; Sarah Englander; Mitchell D. Schnall; Dinggang Shen (MICCAI (1), 2008)

Multimodality image registration by maximization of quantitative-qualitative measure of mutual information. - Hongxia Luan; Feihu Qi; Zhong Xue; Liya Chen; Dinggang Shen (Pattern Recognit., 2008)

Segmenting Lung Fields in Serial Chest Radiographs Using Both Population-Based and Patient-Specific Shape Statistics. - Yonghong Shi; Feihu Qi; Zhong Xue; Liya Chen; Kyoko Ito; Hidenori Matsuo; Dinggang Shen (IEEE Trans. Medical Imaging, 2008)

Simultaneous Consideration of Spatial Deformation and Tensor Orientation in Diffusion Tensor Image Registration Using Local Fast Marching Patterns. - Hai Li 006; Zhong Xue; Lei Guo 002; Stephen T. C. Wong (IPMI, 2009)

Voles: Vascularity-Oriented Level Set Algorithm for Pulmonary Vessel Segmentation in Image Guided Intervention Therapy. - Xiangjun Zhu; Zhong Xue; Xin Gao; Yisheng Zhu; Stephen T. C. Wong (ISBI, 2009)

Tissue probability map constrained CLASSIC for increased accuracy and robustness in serial image segmentation. - Zhong Xue; Dinggang Shen; Stephen T. C. Wong (Image Processing, 2009)

Automated brain tumor segmentation using spatial accuracy-weighted hidden Markov Random Field. - Jingxin Nie; Zhong Xue; Tianming Liu 001; Geoffrey S. Young; Kian Setayesh; Lei Guo 002; Stephen T. C. Wong (Comput. Medical Imaging Graph., 2009)

A new statistically-constrained deformable registration framework for MR brain images. - Zhong Xue; Dinggang Shen (Int. J. Medical Eng. Informatics, 2009)

Applying training hidden features to joint curve evolution for brain MRI segmentation. - Mahshid Farzinfar; Eam Khwang Teoh; Zhong Xue (ICARCV, 2010)

A Minimally Invasive Multimodality Image-Guided (MIMIG) Molecular Imaging System for Peripheral Lung Cancer Intervention and Diagnosis. - Tiancheng He; Zhong Xue; Kelvin K. Wong; Miguel Valdivia y Alvarado; Yong Zhang 050; Weixin Xie; Stephen T. C. Wong (IPCAI, 2010)

PICE: prior information constrained evolution for 3-D and 4-D brain tumor segmentation. - Xiaojun Xue; Zhong Xue; Fei Cao; Ying Zhu; Geoffrey S. Young; Yan Li; Jianhua Yang 005; Stephen T. C. Wong (ISBI, 2010)

Peripheral Lung Cancer Detection by Vascular Tumor Labeling Using In-Vivo Microendoscopy under Real Time 3D CT Image Guided Intervention. - Miguel Valdivia y Alvarado; Tiancheng He; Zhong Xue; Stephen T. C. Wong; Kelvin K. Wong (MIAR, 2010)

A Motion Correction Algorithm for Microendoscope Video Computing in Image-Guided Intervention. - Tiancheng He; Zhong Xue; Weixin Xie; Solomon Wong; Kelvin K. Wong; Miguel Valdivia y Alvarado; Stephen T. C. Wong (MIAR, 2010)

Distinguishing Left or Right Temporal Lobe Epilepsy from Controls Using Fractional Anisotropy Asymmetry Analysis. - Hai Li 006; Zhong Xue; Mario F. Dulay; Amit Verma; Solomon Wong; Christof Karmonik; Robert G. Grossman; Stephen T. C. Wong (MIAR, 2010)

Motion Artifact Correction of Multi-Photon Imaging of Awake Mice Models Using Speed Embedded HMM. - Taoyi Chen; Zhong Xue; Changhong Wang; Zhenshen Qu; Kelvin K. Wong; Stephen T. C. Wong (MICCAI (3), 2010)

Online 4-D CT Estimation for Patient-Specific Respiratory Motion Based on Real-Time Breathing Signals. - Tiancheng He; Zhong Xue; Weixin Xie; Stephen T. C. Wong (MICCAI (3), 2010)

The Alzheimer's Disease Neuroimaging Initiative: Consistent 4D Cortical Thickness Measurement for Longitudinal Neuroimaging Study. - Yang Li 010; Yaping Wang; Zhong Xue; Feng Shi 001; Weili Lin; Dinggang Shen (MICCAI (2), 2010)

An expectation-maximization approach to joint curve evolution for medical image segmentation. - Mahshid Farzinfar; Eam Khwang Teoh; Zhong Xue (Image Processing, 2010)

A novel approach for curve evolution in segmentation of medical images. - Mahshid Farzinfar; Zhong Xue; Eam Khwang Teoh (Comput. Medical Imaging Graph., 2010)

Introduction to the special issue of image-guided surgical planning and therapy. - Hongen Liao; Kelvin K. Wong; Zhong Xue (Comput. Medical Imaging Graph., 2010)

Joint registration and segmentation of serial lung CT images for image-guided lung cancer diagnosis and therapy. - Zhong Xue; Kelvin K. Wong; Stephen T. C. Wong (Comput. Medical Imaging Graph., 2010)

A hybrid approach to automatic clustering of white matter fibers. - Hai Li 006; Zhong Xue; Lei Guo 002; Tianming Liu 001; Jill Hunter; Stephen T. C. Wong (NeuroImage, 2010)

A local fast marching-based diffusion tensor image registration algorithm by simultaneously considering spatial deformation and tensor orientation. - Zhong Xue; Hai Li 006; Lei Guo 002; Stephen T. C. Wong (NeuroImage, 2010)

Diffusion tensor-based fast marching for modeling human brain connectivity network. - Hai Li 006; Zhong Xue; Kemi Cui; Stephen T. C. Wong (Comput. Medical Imaging Graph., 2011)

Tissue probability map constrained 4D clustering algorithm for increased accuracy and robustness in SerialMR brain image segmentation. - Zhong Xue; Dinggang Shen; Hai Li 006; Stephen T. C. Wong (Int. J. Medical Eng. Informatics, 2011)

Topology preservation evaluation of compact-support radial basis functions for image registration. - Xuan S. Yang; Zhong Xue; Xia Liu; Darong Xiong (Pattern Recognit. Lett., 2011)

Three-dimensional dendritic spine detection based on minimal cross-sectional curvature. - Tiancheng He; Zhong Xue; Yong Kim; Stephen T. Wong (ISBI, 2012)

Identification of faulty DTI-based sub-networks in autism using network regularized SVM. - Hai Li 006; Zhong Xue; Timothy M. Ellmore; Richard E. Frye; Stephen T. C. Wong (ISBI, 2012)

Support vector machine (SVM) active learning for automated Glioblastoma segmentation. - Po Su; Zhong Xue; Linda Chi; Jianhua Yang 005; Stephen T. Wong (ISBI, 2012)

Automatic segmentation and centroid detection of skin sensors for lung interventions. - Kongkuo Lu; Sheng Xu 001; Zhong Xue; Stephen T. Wong (Image-Guided Procedures, 2012)

Fast CT-CT fluoroscopy registration with respiratory motion compensation for image-guided lung intervention. - Po Su; Zhong Xue; Kongkuo Lu; Jianhua Yang 005; Stephen T. Wong (Image-Guided Procedures, 2012)

A novel approach for three dimensional dendrite spine segmentation and classification. - Tiancheng He; Zhong Xue; Stephen T. C. Wong (Image Processing, 2012)

Live-wire-based segmentation of (3D) anatomical structures for image-guided lung interventions. - Kongkuo Lu; Sheng Xu 001; Zhong Xue; Stephen T. Wong (Image Processing, 2012)

Motion correction for cellular-resolution multi-photon fluorescence microscopy imaging of awake head-restrained mice using speed embedded HMM. - Taoyi Chen; Zhong Xue; Changhong Wang; Zhenshen Qu; Kelvin K. Wong; Stephen T. C. Wong (Comput. Medical Imaging Graph., 2012)

A minimally invasive multimodality image-guided (MIMIG) system for peripheral lung cancer intervention and diagnosis. - Tiancheng He; Zhong Xue; Kongkuo Lu; Miguel Valdivia y Alvarado; Kelvin K. Wong; Weixin Xie; Stephen T. C. Wong (Comput. Medical Imaging Graph., 2012)

A robust semi-automatic approach for ROI segmentation in 3D CT images. - Kongkuo Lu; Zhong Xue; Stephen T. Wong (EMBC, 2013)

Analyzing grey matter diffusivity of autism in the context of white matter connectivity. - Hai Li 006; Zhong Xue; Timothy M. Ellmore; Richard E. Frye; Stephen T. Wong (ISBI, 2013)

Helical Mode Lung 4D-CT Reconstruction Using Bayesian Model. - Tiancheng He; Zhong Xue; Paige L. Nitsch; Bin S. Teh; Stephen T. Wong (MICCAI (3), 2013)

Superpixel-Based Segmentation of Glioblastoma Multiforme from Multimodal MR Images. - Po Su; Jianhua Yang 005; Hai Li 006; Linda Chi; Zhong Xue; Stephen T. Wong (MBIA, 2013)

Simultaneous Tensor and Fiber Registration (STFR) for Diffusion Tensor Images of the Brain. - Zhong Xue; Stephen T. C. Wong (AE-CAI, 2013)

A Fast CT and CT-Fluoroscopy Registration Algorithm With Respiratory Motion Compensation for Image-Guided Lung Intervention. - Po Su; Jianhua Yang 005; Kongkuo Lu; Nam Yu; Stephen T. Wong; Zhong Xue (IEEE Trans. Biomed. Eng., 2013)

Estimating Dynamic Lung Images from High-Dimension Chest Surface Motion Using 4D Statistical Model. - Tiancheng He; Zhong Xue; Nam Yu; Paige L. Nitsch; Bin S. Teh; Stephen T. Wong (MICCAI (2), 2014)

Spatial-Temporal Image-Constrained Lung 4D-CT Reconstruction for Radiotherapy Planning. - Tiancheng He; Zhong Xue; Nam Yu; Bin S. Teh; Stephen T. Wong (CLIP@MICCAI, 2014)

Fractional anisotropy asymmetry and the side of seizure origin for partial onset-temporal lobe epilepsy. - Hai Li 006; Zhong Xue; Mario F. Dulay; Amit Verma; Christof Karmonik; Robert G. Grossman; Stephen T. C. Wong (Comput. Medical Imaging Graph., 2014)

A three-dimensional medical image segmentation app using graphic theory. - Tiancheng He; Zhong Xue; Stephen T. Wong (BHI, 2016)

When discriminative K-means meets Grassmann manifold: Disease gene identification via a general multi-view clustering method. - Danping Li; Lei Wang 079; Zhong Xue; Stephen T. C. Wong (BHI, 2016)

Nonlinear dynamic analysis of resting EEG alpha activity for heroin addicts. - Qinglin Zhao; Bin Hu 001; Wenhua Lin; Zhixue Li; Hua Jiang; Zhong Xue; Hongqian Li; Quanying Liu (BIBM, 2016)

Manifold Regularized Multi-view Subspace Clustering for image representation. - Lei Wang 079; Danping Li; Tiancheng He; Zhong Xue (ICPR, 2016)

Quantitative Analysis of 3D T1-Weighted Gadolinium (Gd) DCE-MRI with Different Repetition Times. - Elijah D. Rockers; Maria B. Pascual; Sahil Bajaj; Joseph C. Masdeu; Zhong Xue (MIAR, 2016)

Transductive Maximum Margin Classification of ADHD Using Resting State fMRI. - Lei Wang 079; Danping Li; Tiancheng He; Stephen T. C. Wong; Zhong Xue (MLMI@MICCAI, 2016)

Estimating Lung Respiratory Motion Using Combined Global and Local Statistical Models. - Zhong Xue; Ramiro Pino; Bin S. Teh (Patch-MI@MICCAI, 2016)

Transductive local fisher discriminant analysis for gene expression profile-based cancer classification. - Danping Li; Lei Wang 079; Jiajun Wang; Zhong Xue; Stephen T. C. Wong (BHI, 2017)

Dynamic Respiratory Motion Estimation Using Patch-Based Kernel-PCA Priors for Lung Cancer Radiotherapy. - Tiancheng He; Ramiro Pino; Bin S. Teh; Stephen T. Wong; Zhong Xue (CMMI/RAMBO/SWITCH@MICCAI, 2017)

Deep Learning Based Inter-modality Image Registration Supervised by Intra-modality Similarity. - Xiaohuan Cao; Jianhuan Yang; Li Wang 026; Zhong Xue; Qian Wang 001; Dinggang Shen (MLMI@MICCAI, 2018)

Adversarial Similarity Network for Evaluating Image Alignment in Deep Learning Based Registration. - Jingfan Fan; Xiaohuan Cao; Zhong Xue; Pew-Thian Yap; Dinggang Shen (MICCAI (1), 2018)

Deep Learning based Inter-Modality Image Registration Supervised by Intra-Modality Similarity. - Xiaohuan Cao; Jianhua Yang 005; Li Wang 026; Zhong Xue; Qian Wang 001; Dinggang Shen (CoRR, 2018)

Unpaired Mr to CT Synthesis with Explicit Structural Constrained Adversarial Learning. - Yunhao Ge; Dongming Wei; Zhong Xue; Qian Wang 001; Xiang Zhou 009; Yiqiang Zhan; Shu Liao (ISBI, 2019)

Novel Iterative Attention Focusing Strategy for Joint Pathology Localization and Prediction of MCI Progression. - Qingfeng Li; Xiaodan Xing; Ying Sun; Bin Xiao; Hao Wei; Quan Huo; Minqing Zhang; Xiang Sean Zhou; Yiqiang Zhan; Zhong Xue; Feng Shi 001 (MICCAI (4), 2019)

Weakly Supervised Segmentation Framework with Uncertainty: A Study on Pneumothorax Segmentation in Chest X-ray. - Xi Ouyang; Zhong Xue; Yiqiang Zhan; Xiang Sean Zhou; Qingfeng Wang; Ying Zhou; Qian Wang 001; Jie-Zhi Cheng (MICCAI (6), 2019)

Synthesis and Inpainting-Based MR-CT Registration for Image-Guided Thermal Ablation of Liver Tumors. - Dongming Wei; Sahar Ahmad; Jiayu Huo; Wen Peng; Yunhao Ge; Zhong Xue; Pew-Thian Yap; Wentao Li; Dinggang Shen; Qian Wang 001 (MICCAI (5), 2019)

Regression-Based Line Detection Network for Delineation of Largely Deformed Brain Midline. - Hao Wei; Xiangyu Tang; Minqing Zhang; Qingfeng Li; Xiaodan Xing; Xiang Sean Zhou; Zhong Xue; Wenzhen Zhu; Zailiang Chen 001; Feng Shi 001 (MICCAI (3), 2019)

Weakly Supervised Confidence Learning for Brain MR Image Dense Parcellation. - Bin Xiao; Xiaoqing Cheng; Qingfeng Li; Qian Wang 001; Lichi Zhang; Dongming Wei; Yiqiang Zhan; Xiang Sean Zhou; Zhong Xue; Guangming Lu 001; Feng Shi 001 (MLMI@MICCAI, 2019)

Dynamic Spectral Graph Convolution Networks with Assistant Task Training for Early MCI Diagnosis. - Xiaodan Xing; Qingfeng Li; Hao Wei; Minqing Zhang; Yiqiang Zhan; Xiang Sean Zhou; Zhong Xue; Feng Shi 001 (MICCAI (4), 2019)

Reconstruction of Isotropic High-Resolution MR Image from Multiple Anisotropic Scans Using Sparse Fidelity Loss and Adversarial Regularization. - Kai Xuan; Dongming Wei; Dijia Wu; Zhong Xue; Yiqiang Zhan; Weiwu Yao; Qian Wang 001 (MICCAI (3), 2019)

Unpaired whole-body MR to CT synthesis with correlation coefficient constrained adversarial learning. - Yunhao Ge; Zhong Xue; Tuoyu Cao; Shu Liao (Image Processing, 2019)

Preventing inpatient falls with injuries using integrative machine learning prediction: a cohort study. - Lin Wang 065; Zhong Xue; Chika F. Ezeana; Mamta Puppala; Shenyi Chen; Rebecca L. Danforth; Xiaohui Yu 003; Tiancheng He; Mark L. Vassallo; Stephen T. C. Wong (npj Digit. Medicine, 2019)

Automatic Segmentation of Non-tumor Tissues in Glioma MR Brain Images Using Deformable Registration with Partial Convolutional Networks. - Zhongqiang Liu; Dongdong Gu; Yu Zhang; Xiaohuan Cao; Zhong Xue (BrainLes@MICCAI (1), 2020)

Semantic Hierarchy Guided Registration Networks for Intra-subject Pulmonary CT Image Alignment. - Liyun Chen; Xiaohuan Cao; Lei Chen 011; Yaozong Gao; Dinggang Shen; Qian Wang 001; Zhong Xue (MICCAI (3), 2020)

Pair-Wise and Group-Wise Deformation Consistency in Deep Registration Network. - Dongdong Gu; Xiaohuan Cao; Shanshan Ma; Lei Chen 011; Guocai Liu; Dinggang Shen; Zhong Xue (MICCAI (3), 2020)

A Self-ensembling Framework for Semi-supervised Knee Cartilage Defects Assessment with Dual-Consistency. - Jiayu Huo; Liping Si; Xi Ouyang; Kai Xuan; Weiwu Yao; Zhong Xue; Qian Wang 001; Dinggang Shen; Lichi Zhang (PRIME@MICCAI, 2020)

Cross-View Label Transfer in Knee MR Segmentation Using Iterative Context Learning. - Tong Li; Kai Xuan; Zhong Xue; Lei Chen 011; Lichi Zhang; Dahong Qian (DART/DCL@MICCAI, 2020)

mr2NST: Multi-resolution and Multi-reference Neural Style Transfer for Mammography. - Sheng Wang 014; Jiayu Huo; Xi Ouyang; Jifei Che; Zhong Xue; Dinggang Shen; Qian Wang 001; Jie-Zhi Cheng (PRIME@MICCAI, 2020)

Joint Appearance-Feature Domain Adaptation: Application to QSM Segmentation Transfer. - Bin Xiao; Naying He; Qian Wang 001; Zhong Xue; Lei Chen 011; Fuhua Yan; Feng Shi 001; Dinggang Shen (MLMI@MICCAI, 2020)

Detection of Discriminative Neurological Circuits Using Hierarchical Graph Convolutional Networks in fMRI Sequences. - Xiaodan Xing; Lili Jin; Qinfeng Li; Lei Chen 011; Zhong Xue; Ziwen Peng; Feng Shi 001; Dinggang Shen (UNSURE/GRAIL@MICCAI, 2020)

Learning MRI k-Space Subsampling Pattern Using Progressive Weight Pruning. - Kai Xuan; Shanhui Sun; Zhong Xue; Qian Wang 001; Shu Liao (MICCAI (2), 2020)

Graph Convolutional Network Based Point Cloud for Head and Neck Vessel Labeling. - Linlin Yao; Pengbo Jiang; Zhong Xue; Yiqiang Zhan; Dijia Wu; Lichi Zhang; Qian Wang 001; Feng Shi 001; Dinggang Shen (MLMI@MICCAI, 2020)

Ischemic Stroke Segmentation from CT Perfusion Scans Using Cluster-Representation Learning. - Jianyuan Zhang; Feng Shi 001; Lei Chen 011; Zhong Xue; Lichi Zhang; Dahong Qian (MLCN/RNO-AI@MICCAI, 2020)

Lung Infection Quantification of COVID-19 in CT Images with Deep Learning. - Fei Shan; Yaozong Gao; Jun Wang; Weiya Shi; Nannan Shi; Miaofei Han; Zhong Xue; Dinggang Shen; Yuxin Shi (CoRR, 2020)

A Self-ensembling Framework for Semi-supervised Knee Osteoarthritis Localization and Classification with Dual-Consistency. - Jiayu Huo; Liping Si; Xi Ouyang; Kai Xuan; Weiwu Yao; Zhong Xue; Lichi Zhang; Qian Wang 001 (CoRR, 2020)

mr2NST: Multi-Resolution and Multi-Reference Neural Style Transfer for Mammography. - Sheng Wang 014; Jiayu Huo; Xi Ouyang; Jifei Che; Xuhua Ren; Zhong Xue; Qian Wang 001; Jie-Zhi Cheng (CoRR, 2020)

SLIR: Synthesis, localization, inpainting, and registration for image-guided thermal ablation of liver tumors. - Dongming Wei; Sahar Ahmad; Jiayu Huo; Pu Huang; Pew-Thian Yap; Zhong Xue; Jianqi Sun; Wentao Li; Dinggang Shen; Qian Wang 001 (Medical Image Anal., 2020)

A Multi-scale Graph Network with Multi-head Attention for Histopathology Image Diagnosisn. - Xiaodan Xing; Yixin Ma; Lei Jin 006; Tianyang Sun; Zhong Xue; Feng Shi 001; Jinsong Wu 002; Dinggang Shen (COMPAY@MICCAI, 2021)

Multiresolution Registration Network (MRN) Hierarchy with Prior Knowledge Learning. - Dongdong Gu; Xiaohuan Cao; Guocai Liu; Dinggang Shen; Zhong Xue (MLMI@MICCAI, 2021)

Variational Encoding and Decoding for Hybrid Supervision of Registration Network. - Dongdong Gu; Xiaohuan Cao; Guocai Liu; Zhong Xue; Dinggang Shen (MLMI@MICCAI, 2021)

Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning. - Zheren Li; Zhiming Cui; Sheng Wang 014; Yuji Qi; Xi Ouyang; Qitian Chen; Yuezhi Yang; Zhong Xue; Dinggang Shen; Jie-Zhi Cheng (MICCAI (7), 2021)

Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms. - Xi Ouyang; Jifei Che; Qitian Chen; Zheren Li; Yiqiang Zhan; Zhong Xue; Qian Wang 001; Jie-Zhi Cheng; Dinggang Shen (MICCAI (7), 2021)

Anatomical Structure-Aware Pulmonary Nodule Detection via Parallel Multi-task RoI Head. - Haoyi Tao; Yuanfang Qiao; Lichi Zhang; Yiqiang Zhan; Zhong Xue; Qian Wang 001 (PRIME@MICCAI, 2021)

Self-guided Multi-attention Network for Periventricular Leukomalacia Recognition. - Zhuochen Wang; Tingting Huang; Bin Xiao; Jiayu Huo; Sheng Wang 014; Haoxiang Jiang; Heng Liu; Fan Wu; Xiang Sean Zhou; Zhong Xue; Jian Yang; Qian Wang 001 (PRIME@MICCAI, 2021)

3DMeT: 3D Medical Image Transformer for Knee Cartilage Defect Assessment. - Sheng Wang 014; Zixu Zhuang; Kai Xuan; Dahong Qian; Zhong Xue; Jia Xu; Ying Liu; Yiming Chai; Lichi Zhang; Qian Wang 001; Dinggang Shen (MLMI@MICCAI, 2021)

Nodule Synthesis and Selection for Augmenting Chest X-ray Nodule Detection. - Zhenrong Shen 001; Xi Ouyang; Zhuochen Wang; Yiqiang Zhan; Zhong Xue; Qian Wang 001; Jie-Zhi Cheng; Dinggang Shen (PRCV (3), 2021)

Computing infection distributions and longitudinal evolution patterns in lung CT images. - Dongdong Gu; Liyun Chen; Fei Shan; Liming Xia; Jun Liu 075; Zhanhao Mo; Fuhua Yan; Bin Song 002; Yaozong Gao; Xiaohuan Cao; Yanbo Chen; Ying Shao; et al. (BMC Medical Imaging, 2021)

A consistent deep registration network with group data modeling. - Dongdong Gu; Guocai Liu; Xiaohuan Cao; Zhong Xue; Dinggang Shen (Comput. Medical Imaging Graph., 2021)

On the performance of lung nodule detection, segmentation and classification. - Dongdong Gu; Guocai Liu; Zhong Xue (Comput. Medical Imaging Graph., 2021)

Reducing magnetic resonance image spacing by learning without ground-truth. - Kai Xuan; Liping Si; Lichi Zhang; Zhong Xue; Yining Jiao; Weiwu Yao; Dinggang Shen; Dijia Wu; Qian Wang 001 (Pattern Recognit., 2021)

Whole Mammography Diagnosis via Multi-instance Supervised Discriminative Localization and Classification. - Qingxia Wu; Hongna Tan; Yaping Wu; Pei Dong; Jifei Che; Zheren Li; Chenjin Lei; Dinggang Shen; Zhong Xue; Meiyun Wang (MLMI@MICCAI, 2022)

TaG-Net: Topology-Aware Graph Network for Vessel Labeling. - Linlin Yao; Zhong Xue; Yiqiang Zhan; Lizhou Chen; Yuntian Chen; Bin Song 002; Qian Wang 001; Feng Shi 001; Dinggang Shen (ISGIE/GRAIL@MICCAI, 2022)

Head and Neck Vessel Segmentation with Connective Topology Using Affinity Graph. - Linlin Yao; Zhong Xue; Yiqiang Zhan; Lizhou Chen; Yuntian Chen; Bin Song 002; Qian Wang 001; Feng Shi 001; Dinggang Shen (MLMI@MICCAI, 2022)

Local Graph Fusion of Multi-view MR Images for Knee Osteoarthritis Diagnosis. - Zixu Zhuang; Sheng Wang 014; Liping Si; Kai Xuan; Zhong Xue; Dinggang Shen; Lichi Zhang; Weiwu Yao; Qian Wang 001 (MICCAI (3), 2022)

Evaluation of an automated intracranial aneurysm detection and rupture analysis approach using cascade detection and classification networks. - Ke Wu; Dongdong Gu; Peihong Qi; Xiaohuan Cao; Dijia Wu; Lei Chen 012; Guoxiang Qu; Jiayu Wang; Xianpan Pan; Xuechun Wang; Yuntian Chen; Lizhou Chen; et al. (Comput. Medical Imaging Graph., 2022)

Automatic Grading Assessments for Knee MRI Cartilage Defects via Self-ensembling Semi-supervised Learning with Dual-Consistency. - Jiayu Huo; Xi Ouyang; Liping Si; Kai Xuan; Sheng Wang 014; Weiwu Yao; Ying Liu; Jia Xu; Dahong Qian; Zhong Xue; Qian Wang 001; Dinggang Shen; et al. (Medical Image Anal., 2022)

MT-NeT: Multi-Modality Transfer Learning Network for Automated Carotid Vessel Wall Segmentation using Sparse Annotation in MRI. - Xibao Li; Xi Ouyang; Jiadong Zhang; Dongdong Gu; Zehong Cao; Zhongxiang Ding; Yiqiang Zhan; Xiang Sean Zhou; Zhong Xue; Yuyao Zhang; Feng Shi 001; Dinggang Shen (ISBI, 2023)

Semi-Supervised Domain-Adaptive Pulmonary Artery Segmentation via Uncertainty Guidance and Shape Strengthening. - Jiyuan Liu 008; Xiao Zhang 028; Dongdong Gu; Xi Ouyang; Jiadong Zhang; Xuming He 001; Dinggang Shen; Zhong Xue (ISBI, 2023)

Multi-Scale Supervised Contrastive Learning for Benign-Malignant Classification of Pulmonary Nodules in Chest Ct Scans. - Xiaoxian Xu; Ying Wei 009; Jie Zheng; Zhongxiang Ding; Yiqiang Zhan; Xiang Sean Zhou; Zhong Xue; Feng Shi 001; Dinggang Shen (ISBI, 2023)

HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images. - Wenqi Zhou; Xiao Zhang 028; Dongdong Gu; Sheng Wang 014; Jiayu Huo; Rui Zhang; Zhihao Jiang; Feng Shi 001; Zhong Xue; Yiqiang Zhan; Xi Ouyang; Dinggang Shen (MICCAI (3), 2023)

CAS-Net: Cross-View Aligned Segmentation by Graph Representation of Knees. - Zixu Zhuang; Xin Wang 125; Sheng Wang 014; Zhenrong Shen 001; Xiangyu Zhao 003; Mengjun Liu; Zhong Xue; Dinggang Shen; Lichi Zhang; Qian Wang 001 (MICCAI (4), 2023)

A Bone Lesion Identification Network (BLIN) in CT Images with Weakly Supervised Learning. - Kehao Deng; Bin Wang; Shanshan Ma; Zhong Xue; Xiaohuan Cao (MLMI@MICCAI (2), 2023)

Contrastive Learning-Based Breast Tumor Segmentation in DCE-MRI. - Shanshan Guo; Jiadong Zhang; Dongdong Gu; Fei Gao 010; Yiqiang Zhan; Zhong Xue; Dinggang Shen (MLMI@MICCAI (1), 2023)

Cross-view Contrastive Mutual Learning Across Masked Autoencoders for Mammography Diagnosis. - Qingxia Wu; Hongna Tan; Zhi Qiao; Pei Dong; Dinggang Shen; Meiyun Wang; Zhong Xue (MLMI@MICCAI (2), 2023)

Reconstruction of 3D Fetal Brain MRI from 2D Cross-Sectional Acquisitions Using Unsupervised Learning Network. - Yimeng Yang; Dongdong Gu; Xukun Zhang; Zhongxiang Ding; Fei Gao 010; Zhong Xue; Dinggang Shen (MLMI@MICCAI (1), 2023)

FAST-Net: A Coarse-to-fine Pyramid Network for Face-Skull Transformation. - Lei Zhao; Lei Ma 006; Zhiming Cui; Jie Zheng; Zhong Xue; Feng Shi 001; Dinggang Shen (MLMI@MICCAI (2), 2023)

Modeling Life-Span Brain Age from Large-Scale Dataset Based on Multi-level Information Fusion. - Nan Zhao; Yongsheng Pan; Kaicong Sun; Yuning Gu; Mianxin Liu; Zhong Xue; Han Zhang 002; Qing Yang; Fei Gao 010; Feng Shi 001; Dinggang Shen (MLMI@MICCAI (2), 2023)

Automated Rib Fracture Detection on Chest X-Ray Using Contrastive Learning. - Hongbiao Sun; Xiang Wang; Zheren Li; Aie Liu; Shaochun Xu; Qinling Jiang; Qingchu Li; Zhong Xue; Jing Gong; Lei Chen 012; Yi Xiao; Shiyuan Liu (J. Imaging Inform. Medicine, 2023)

Knee Cartilage Defect Assessment by Graph Representation and Surface Convolution. - Zixu Zhuang; Liping Si; Sheng Wang 014; Kai Xuan; Xi Ouyang; Yiqiang Zhan; Zhong Xue; Lichi Zhang; Dinggang Shen; Weiwu Yao; Qian Wang 001 (IEEE Trans. Medical Imaging, 2023)

Segment aorta and localize landmarks simultaneously on noncontrast CT using a multitask learning framework for patients without severe vascular disease. - Jinrong Yang; Xiang Li; Jie-Zhi Cheng; Zhong Xue; Feng Shi 001; Yuqing Ji; Xuechun Wang; Fan Yang 054 (Comput. Biol. Medicine, 2023)

TaG-Net: Topology-Aware Graph Network for Centerline-Based Vessel Labeling. - Linlin Yao; Feng Shi 001; Sheng Wang 014; Xiao Zhang 028; Zhong Xue; Xiaohuan Cao; Yiqiang Zhan; Lizhou Chen; Yuntian Chen; Bin Song 002; Qian Wang 001; Dinggang Shen (IEEE Trans. Medical Imaging, 2023)

A radiomics based approach using adrenal gland and periadrenal fat CT images to allocate COVID-19 health care resources fairly. - Mudan Zhang; Xuntao Yin; Wuchao Li; Yan Zha; Xianchun Zeng; Xiaoyong Zhang; Jingjing Cui; Zhong Xue; Rongpin Wang; Chen Liu (BMC Medical Imaging, 2023)

Semi-Supervised Learning of Visual Attributes for Automated Assessment of Lung Nodule Malignancy. - Liyun Chen; Linlin Yao; Qian Wang 001; Zhong Xue (ISBI, 2024)

Prompt-Based Segmentation Model of Anatomical Structures and Lesions in CT Images. - Xi Ouyang; Dongdong Gu; Xuejian Li; Wenqi Zhou; Qianqian Chen; Yiqiang Zhan; Xiang Sean Zhou; Feng Shi 001; Zhong Xue; Dinggang Shen (MICCAI (8), 2024)

Hierarchical Symmetric Normalization Registration Using Deformation-Inverse Network. - Qingrui Sha; Kaicong Sun; Mingze Xu; Yonghao Li; Zhong Xue; Xiaohuan Cao; Dinggang Shen (MICCAI (2), 2024)

Exploiting Latent Classes for Medical Image Segmentation from Partially Labeled Datasets. - Xiangyu Zhao 003; Xi Ouyang; Lichi Zhang; Zhong Xue; Dinggang Shen (MICCAI (8), 2024)

SDF-Net: A Hybrid Detection Network for Mediastinal Lymph Node Detection on Contrast CT Images. - Jiuli Xiong; Lanzhuju Mei; Jiameng Liu; Dinggang Shen; Zhong Xue; Xiaohuan Cao (MLMI@MICCAI (2), 2024)

Integrating Convolutional Neural Network and Transformer for Lumen Prediction Along the Aorta Sections. - Yichen Yang 019; Pengbo Jiang; Xiran Cai; Zhong Xue; Dinggang Shen (MLMI@MICCAI (1), 2024)

Extracting visual navigation line between pineapple field rows based on an enhanced YOLOv5. - Tian-Hu Liu; Yan Zheng; Jia-Shang Lai; Yi-Feng Cheng; Si-Yuan Chen; Bao-Feng Mai; Ying Liu; Jia-Yi Li; Zhong Xue (Comput. Electron. Agric., 2024)

Detail-preserving image warping by enforcing smooth image sampling. - Qingrui Sha; Kaicong Sun; Caiwen Jiang; Mingze Xu; Zhong Xue; Xiaohuan Cao; Dinggang Shen (Neural Networks, 2024)

Dynamic risk assessment of Uncertain Random System considering operator's simple emergency-stop action in short time window. - Lunhu Hu; Xing Pan; Rui Kang; Jian Chu; Yunfeng Gao; Zhong Xue; Hexi Baoyin (Reliab. Eng. Syst. Saf., 2024)

Carotid Vessel Wall Segmentation Through Domain Aligner, Topological Learning, and Segment Anything Model for Sparse Annotation in MR Images. - Xibao Li; Xi Ouyang; Jiadong Zhang; Zhongxiang Ding; Yuyao Zhang; Zhong Xue; Feng Shi 001; Dinggang Shen (IEEE Trans. Medical Imaging, 2024)

A Serial Image Segmentation and Registration Network (SISRN) for Dynamic Enhanced Magnetic Resonance Image Sequences. - Zehao Weng; Zhong Xue; Haoran Sun; Dongdong Gu (ISBI, 2025)

Towards mechanized harvesting of pineapples: A masked self-attention instance segmentation network and pineapple detection dataset. - Zhe Shan; Songtao Ye; Cong Lin; Zhong Xue (Eng. Appl. Artif. Intell., 2025)

AASeg: Artery-Aware Global-to-Local Framework for Aneurysm Segmentation in Head and Neck CTA Images. - Linlin Yao; Dongdong Chen 003; Xiangyu Zhao 003; Manman Fei; Zhiyun Song; Zhong Xue; Yiqiang Zhan; Bin Song 002; Feng Shi 001; Qian Wang 001; Dinggang Shen (IEEE Trans. Medical Imaging, 2025)