| 2025 | MICCAI | Multitask Deep Learning Model for Liver Segmentation and Lesion Classification from Multisequence MRI. | Dongdong Gu, Yuzhong Chen, Xuejian Li, Xi Ouyang, Zhong Xue, Dinggang Shen |
| 2025 | MICCAI | RadiSimCLIP: A Radiology Vision-Language Model Pretrained on Simulated Radiologist Learning Dataset for Zero-Shot Medical Image Understanding. | Minhui Tan, Qingxia Wu, Boyang Zhang, Genqiang Ren, Jianlong Nie, Zhong Xue, Xiaohuan Cao, Dinggang Shen |
| 2024 | MICCAI | 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, Zhong Xue, Dinggang Shen |
| 2024 | MICCAI | Hierarchical Symmetric Normalization Registration Using Deformation-Inverse Network. | Qingrui Sha, Kaicong Sun, Mingze Xu, Yonghao Li, Zhong Xue, Xiaohuan Cao, Dinggang Shen |
| 2024 | MICCAI | Exploiting Latent Classes for Medical Image Segmentation from Partially Labeled Datasets. | Xiangyu Zhao, Xi Ouyang, Lichi Zhang, Zhong Xue, Dinggang Shen |
| 2023 | MICCAI | HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images. | Wenqi Zhou, Xiao Zhang, Dongdong Gu, Sheng Wang, Jiayu Huo, Rui Zhang, Zhihao Jiang, Feng Shi, Zhong Xue, Yiqiang Zhan, Xi Ouyang, Dinggang Shen |
| 2023 | MICCAI | CAS-Net: Cross-View Aligned Segmentation by Graph Representation of Knees. | Zixu Zhuang, Xin Wang, Sheng Wang, Zhenrong Shen, Xiangyu Zhao, Mengjun Liu, Zhong Xue, Dinggang Shen, Lichi Zhang, Qian Wang |
| 2022 | MICCAI | 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 |
| 2022 | MICCAI | TaG-Net: Topology-Aware Graph Network for Vessel Labeling. | Linlin Yao, Zhong Xue, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Feng Shi, Dinggang Shen |
| 2022 | MICCAI | Head and Neck Vessel Segmentation with Connective Topology Using Affinity Graph. | Linlin Yao, Zhong Xue, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Feng Shi, Dinggang Shen |
| 2022 | MICCAI | Local Graph Fusion of Multi-view MR Images for Knee Osteoarthritis Diagnosis. | Zixu Zhuang, Sheng Wang, Liping Si, Kai Xuan, Zhong Xue, Dinggang Shen, Lichi Zhang, Weiwu Yao, Qian Wang |
| 2021 | MICCAI | Multiresolution Registration Network (MRN) Hierarchy with Prior Knowledge Learning. | Dongdong Gu, Xiaohuan Cao, Guocai Liu, Dinggang Shen, Zhong Xue |
| 2021 | MICCAI | Variational Encoding and Decoding for Hybrid Supervision of Registration Network. | Dongdong Gu, Xiaohuan Cao, Guocai Liu, Zhong Xue, Dinggang Shen |
| 2021 | MICCAI | Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning. | Zheren Li, Zhiming Cui, Sheng Wang, Yuji Qi, Xi Ouyang, Qitian Chen, Yuezhi Yang, Zhong Xue, Dinggang Shen, Jie-Zhi Cheng |
| 2021 | MICCAI | Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms. | Xi Ouyang, Jifei Che, Qitian Chen, Zheren Li, Yiqiang Zhan, Zhong Xue, Qian Wang, Jie-Zhi Cheng, Dinggang Shen |
| 2021 | MICCAI | Anatomical Structure-Aware Pulmonary Nodule Detection via Parallel Multi-task RoI Head. | Haoyi Tao, Yuanfang Qiao, Lichi Zhang, Yiqiang Zhan, Zhong Xue, Qian Wang |
| 2021 | MICCAI | Self-guided Multi-attention Network for Periventricular Leukomalacia Recognition. | 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 |
| 2021 | MICCAI | 3DMeT: 3D Medical Image Transformer for Knee Cartilage Defect Assessment. | Sheng Wang, Zixu Zhuang, Kai Xuan, Dahong Qian, Zhong Xue, Jia Xu, Ying Liu, Yiming Chai, Lichi Zhang, Qian Wang, Dinggang Shen |
| 2020 | MICCAI | Semantic Hierarchy Guided Registration Networks for Intra-subject Pulmonary CT Image Alignment. | Liyun Chen, Xiaohuan Cao, Lei Chen, Yaozong Gao, Dinggang Shen, Qian Wang, Zhong Xue |
| 2020 | MICCAI | Pair-Wise and Group-Wise Deformation Consistency in Deep Registration Network. | Dongdong Gu, Xiaohuan Cao, Shanshan Ma, Lei Chen, Guocai Liu, Dinggang Shen, Zhong Xue |
| 2020 | MICCAI | 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, Dinggang Shen, Lichi Zhang |
| 2020 | MICCAI | Cross-View Label Transfer in Knee MR Segmentation Using Iterative Context Learning. | Tong Li, Kai Xuan, Zhong Xue, Lei Chen, Lichi Zhang, Dahong Qian |
| 2020 | MICCAI | mr | Sheng Wang, Jiayu Huo, Xi Ouyang, Jifei Che, Zhong Xue, Dinggang Shen, Qian Wang, Jie-Zhi Cheng |
| 2020 | MICCAI | Joint Appearance-Feature Domain Adaptation: Application to QSM Segmentation Transfer. | Bin Xiao, Naying He, Qian Wang, Zhong Xue, Lei Chen, Fuhua Yan, Feng Shi, Dinggang Shen |
| 2020 | MICCAI | Detection of Discriminative Neurological Circuits Using Hierarchical Graph Convolutional Networks in fMRI Sequences. | Xiaodan Xing, Lili Jin, Qinfeng Li, Lei Chen, Zhong Xue, Ziwen Peng, Feng Shi, Dinggang Shen |
| 2020 | MICCAI | Learning MRI k-Space Subsampling Pattern Using Progressive Weight Pruning. | Kai Xuan, Shanhui Sun, Zhong Xue, Qian Wang, Shu Liao |
| 2020 | MICCAI | 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, Feng Shi, Dinggang Shen |
| 2020 | MICCAI | Ischemic Stroke Segmentation from CT Perfusion Scans Using Cluster-Representation Learning. | Jianyuan Zhang, Feng Shi, Lei Chen, Zhong Xue, Lichi Zhang, Dahong Qian |
| 2019 | MICCAI | 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 |
| 2019 | MICCAI | 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, Jie-Zhi Cheng |
| 2019 | MICCAI | 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 |
| 2019 | MICCAI | 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, Feng Shi |
| 2019 | MICCAI | Weakly Supervised Confidence Learning for Brain MR Image Dense Parcellation. | Bin Xiao, Xiaoqing Cheng, Qingfeng Li, Qian Wang, Lichi Zhang, Dongming Wei, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Guangming Lu, Feng Shi |
| 2019 | MICCAI | 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 |
| 2019 | MICCAI | 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 |
| 2018 | MICCAI | Deep Learning Based Inter-modality Image Registration Supervised by Intra-modality Similarity. | Xiaohuan Cao, Jianhuan Yang, Li Wang, Zhong Xue, Qian Wang, Dinggang Shen |
| 2018 | MICCAI | Adversarial Similarity Network for Evaluating Image Alignment in Deep Learning Based Registration. | Jingfan Fan, Xiaohuan Cao, Zhong Xue, Pew-Thian Yap, Dinggang Shen |
| 2017 | MICCAI | 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 |
| 2016 | ICPR | Manifold Regularized Multi-view Subspace Clustering for image representation. | Lei Wang, Danping Li, Tiancheng He, Zhong Xue |
| 2016 | MICCAI | Transductive Maximum Margin Classification of ADHD Using Resting State fMRI. | Lei Wang, Danping Li, Tiancheng He, Stephen T. C. Wong, Zhong Xue |
| 2016 | MICCAI | Estimating Lung Respiratory Motion Using Combined Global and Local Statistical Models. | Zhong Xue, Ramiro Pino, Bin S. Teh |
| 2014 | MICCAI | 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 |
| 2014 | MICCAI | Spatial-Temporal Image-Constrained Lung 4D-CT Reconstruction for Radiotherapy Planning. | Tiancheng He, Zhong Xue, Nam Yu, Bin S. Teh, Stephen T. Wong |
| 2013 | MICCAI | Helical Mode Lung 4D-CT Reconstruction Using Bayesian Model. | Tiancheng He, Zhong Xue, Paige L. Nitsch, Bin S. Teh, Stephen T. Wong |
| 2013 | MICCAI | Superpixel-Based Segmentation of Glioblastoma Multiforme from Multimodal MR Images. | Po Su, Jianhua Yang, Hai Li, Linda Chi, Zhong Xue, Stephen T. Wong |
| 2013 | MICCAI | Simultaneous Tensor and Fiber Registration (STFR) for Diffusion Tensor Images of the Brain. | Zhong Xue, Stephen T. C. Wong |
| 2010 | ICARCV | Applying training hidden features to joint curve evolution for brain MRI segmentation. | Mahshid Farzinfar, Eam Khwang Teoh, Zhong Xue |
| 2010 | MICCAI | 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 |
| 2010 | MICCAI | 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 |
| 2010 | MICCAI | The Alzheimer's Disease Neuroimaging Initiative: Consistent 4D Cortical Thickness Measurement for Longitudinal Neuroimaging Study. | Yang Li, Yaping Wang, Zhong Xue, Feng Shi, Weili Lin, Dinggang Shen |
| 2008 | ECCV | Joint Parametric and Non-parametric Curve Evolution for Medical Image Segmentation. | Mahshid Farzinfar, Zhong Xue, Eam Khwang Teoh |
| 2008 | ICARCV | A coupled implicit shape-based deformable model for segmentation of MR images. | Mahshid Farzinfar, Eam Khwang Teoh, Zhong Xue |
| 2008 | MICCAI | 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 |
| 2006 | CVPR | Statistically-Constrained High-Dimensional Warping Using Wavelet-Based Priors. | Zhong Xue, Dinggang Shen, Christos Davatzikos |
| 2006 | ICARCV | Segmenting MR Images Using Fully-Tuned Radial Basis Functions (RBF). | Yan Li, Zhongming Li, Zhong Xue |
| 2006 | MICCAI | 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 |
| 2005 | MICCAI | Consistent Estimation of Cardiac Motions by 4D Image Registration. | Dinggang Shen, Hari Sundar, Zhong Xue, Yong Fan, Harold Litt |
| 2005 | MICCAI | Statistical Representation and Simulation of High-Dimensional Deformations: Application to Synthesizing Brain Deformations. | Zhong Xue, Dinggang Shen, Bilge Karaali, Christos Davatzikos |
| 2003 | MICCAI | Correspondence Detection Using Wavelet-Based Attribute Vectors. | Zhong Xue, Dinggang Shen, Christos Davatzikos |
| 2002 | ICARCV | A novel Bayesian shape model for facial feature extraction. | Zhong Xue, Stan Z. Li, Dinggang Shen, Eam Khwang Teoh |
| 2001 | ICIP | Facial feature extraction and image warping using PCA based statistic model. | Zhong Xue, Stan Z. Li, Eam Khwang Teoh |
| 2000 | ICIP | A Novel Affine Invariant Feature Set and its Application in Motion Estimation. | Liya Chen, Zhongkang Lu, Eam Khwang Teoh, Zhong Xue |
| 2000 | ICIP | A Deformable Template Model Based on Fuzzy Alignment Algorithm. | Zhong Xue, Dinggang Shen, Eam Khwang Teoh |
| 2000 | ICPR | Efficient Object Matching Using Affine-Invariant Deformable Contour. | Zhong Xue, Stan Z. Li, Eam Khwang Teoh |
| 2000 | SMC | A novel eigenvector approach to pose and correspondence estimation. | Zhong Xue, Eam Khwang Teoh |