Zhong Xue - RankMe

166 papers B 10C 4Journal 53Unranked 99

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Serial Image Segmentation and Registration Network (SISRN) for Dynamic Enhanced Magnetic Resonance Image Sequences. ISBI Zehao Weng, Zhong Xue, Haoran Sun, Dongdong Gu
2025	J	`jnl`	AASeg: Artery-Aware Global-to-Local Framework for Aneurysm Segmentation in Head and Neck CTA Images. IEEE Trans. Medical Imaging Linlin Yao, Dongdong Chen, Xiangyu Zhao, Manman Fei, Zhiyun Song, Zhong Xue, Yiqiang Zhan, Bin Song, Feng Shi, Qian Wang, Dinggang Shen
2025	—	`conf`	CoMoSeg: Anatomical Consistency and Cross Modality Guidance for Robust Brain Tumor Segmentation Using Partially Labeled MR Sequences. CMMCA@MICCAI Zehao Weng, Dongdong Gu, Yuzhong Chen, Siqing Yuan, Chen Xie, Zhenguo Zhang, Jinwei Kong, Zehong Cao, Zhong Xue, Dinggang Shen
2025	—	`conf`	GMPT: General Multimodal Segmentation Model Guided by Multi-expert Pathway. MLMI@MICCAI Jinwei Kong, Xiangyu Zhao, Xi Ouyang, Xuejian Li, Zhong Xue, Dinggang Shen
2025	J	`jnl`	Integration of Instance Segmentation and Three-Dimensional Point Cloud Analysis for Pineapple Pose Estimation. IEEE Access Rihong Zhang, Dezhao Chen, Hang Gao, Yi Wang, Xiaomin Li, Zhong Xue
2025	—	`conf`	LGE-Guided Cross-Modality Contrastive Learning for Gadolinium-Free Cardiomyopathy Screening in Cine CMR. MLMI@MICCAI Siqing Yuan, Yulin Wang, Zirui Cao, Yueyan Wang, Zehao Weng, Hui Wang, Lei Xu, Zixian Chen, Lei Chen, Zhong Xue, Dinggang Shen
2025	J	`jnl`	LGE-Guided Cross-Modality Contrastive Learning for Gadolinium-Free Cardiomyopathy Screening in Cine CMR. CoRR Siqing Yuan, Yulin Wang, Zirui Cao, Yueyan Wang, Zehao Weng, Hui Wang, Lei Xu, Zixian Chen, Lei Chen, Zhong Xue, Dinggang Shen
2025	—	`conf`	Multitask Deep Learning Model for Liver Segmentation and Lesion Classification from Multisequence MRI. AMAI@MICCAI Dongdong Gu, Yuzhong Chen, Xuejian Li, Xi Ouyang, Zhong Xue, Dinggang Shen
2025	—	`conf`	RadiSimCLIP: A Radiology Vision-Language Model Pretrained on Simulated Radiologist Learning Dataset for Zero-Shot Medical Image Understanding. MedAGI Minhui Tan, Qingxia Wu, Boyang Zhang, Genqiang Ren, Jianlong Nie, Zhong Xue, Xiaohuan Cao, Dinggang Shen
2025	J	`jnl`	Towards mechanized harvesting of pineapples: A masked self-attention instance segmentation network and pineapple detection dataset. Eng. Appl. Artif. Intell. Zhe Shan, Songtao Ye, Cong Lin, Zhong Xue
2024	J	`jnl`	Carotid Vessel Wall Segmentation Through Domain Aligner, Topological Learning, and Segment Anything Model for Sparse Annotation in MR Images. IEEE Trans. Medical Imaging Xibao Li, Xi Ouyang, Jiadong Zhang, Zhongxiang Ding, Yuyao Zhang, Zhong Xue, Feng Shi, Dinggang Shen
2024	J	`jnl`	Detail-preserving image warping by enforcing smooth image sampling. Neural Networks Qingrui Sha, Kaicong Sun, Caiwen Jiang, Mingze Xu, Zhong Xue, Xiaohuan Cao, Dinggang Shen
2024	J	`jnl`	Dynamic risk assessment of Uncertain Random System considering operator's simple emergency-stop action in short time window. Reliab. Eng. Syst. Saf. Lunhu Hu, Xing Pan, Rui Kang, Jian Chu, Yunfeng Gao, Zhong Xue, Hexi Baoyin
2024	—	`conf`	Exploiting Latent Classes for Medical Image Segmentation from Partially Labeled Datasets. MICCAI (8) Xiangyu Zhao, Xi Ouyang, Lichi Zhang, Zhong Xue, Dinggang Shen
2024	J	`jnl`	Extracting visual navigation line between pineapple field rows based on an enhanced YOLOv5. Comput. Electron. Agric. Tian-Hu Liu, Yan Zheng, Jia-Shang Lai, Yi-Feng Cheng, Si-Yuan Chen, Bao-Feng Mai, Ying Liu, Jia-Yi Li, Zhong Xue
2024	—	`conf`	Hierarchical Symmetric Normalization Registration Using Deformation-Inverse Network. MICCAI (2) Qingrui Sha, Kaicong Sun, Mingze Xu, Yonghao Li, Zhong Xue, Xiaohuan Cao, Dinggang Shen
2024	—	`conf`	Integrating Convolutional Neural Network and Transformer for Lumen Prediction Along the Aorta Sections. MLMI@MICCAI (1) Yichen Yang, Pengbo Jiang, Xiran Cai, Zhong Xue, Dinggang Shen
2024	—	`conf`	Prompt-Based Segmentation Model of Anatomical Structures and Lesions in CT Images. MICCAI (8) Xi Ouyang, Dongdong Gu, Xuejian Li, Wenqi Zhou, Qianqian Chen, Yiqiang Zhan, Xiang Sean Zhou, Feng Shi, Zhong Xue, Dinggang Shen
2024	—	`conf`	SDF-Net: A Hybrid Detection Network for Mediastinal Lymph Node Detection on Contrast CT Images. MLMI@MICCAI (2) Jiuli Xiong, Lanzhuju Mei, Jiameng Liu, Dinggang Shen, Zhong Xue, Xiaohuan Cao
2024	J	`jnl`	SDF-Net: A Hybrid Detection Network for Mediastinal Lymph Node Detection on Contrast CT Images. CoRR Jiuli Xiong, Lanzhuju Mei, Jiameng Liu, Dinggang Shen, Zhong Xue, Xiaohuan Cao
2024	—	`conf`	Semi-Supervised Learning of Visual Attributes for Automated Assessment of Lung Nodule Malignancy. ISBI Liyun Chen, Linlin Yao, Qian Wang, Zhong Xue
2023	—	`conf`	A Bone Lesion Identification Network (BLIN) in CT Images with Weakly Supervised Learning. MLMI@MICCAI (2) Kehao Deng, Bin Wang, Shanshan Ma, Zhong Xue, Xiaohuan Cao
2023	J	`jnl`	A radiomics based approach using adrenal gland and periadrenal fat CT images to allocate COVID-19 health care resources fairly. BMC Medical Imaging Mudan Zhang, Xuntao Yin, Wuchao Li, Yan Zha, Xianchun Zeng, Xiaoyong Zhang, Jingjing Cui, Zhong Xue, Rongpin Wang, Chen Liu
2023	J	`jnl`	Automated Rib Fracture Detection on Chest X-Ray Using Contrastive Learning. J. Imaging Inform. Medicine Hongbiao Sun, Xiang Wang, Zheren Li, Aie Liu, Shaochun Xu, Qinling Jiang, Qingchu Li, Zhong Xue, Jing Gong, Lei Chen, Yi Xiao, Shiyuan Liu
2023	—	`conf`	CAS-Net: Cross-View Aligned Segmentation by Graph Representation of Knees. MICCAI (4) Zixu Zhuang, Xin Wang, Sheng Wang, Zhenrong Shen, Xiangyu Zhao, Mengjun Liu, Zhong Xue, Dinggang Shen, Lichi Zhang, Qian Wang
2023	—	`conf`	Contrastive Learning-Based Breast Tumor Segmentation in DCE-MRI. MLMI@MICCAI (1) Shanshan Guo, Jiadong Zhang, Dongdong Gu, Fei Gao, Yiqiang Zhan, Zhong Xue, Dinggang Shen
2023	—	`conf`	Cross-view Contrastive Mutual Learning Across Masked Autoencoders for Mammography Diagnosis. MLMI@MICCAI (2) Qingxia Wu, Hongna Tan, Zhi Qiao, Pei Dong, Dinggang Shen, Meiyun Wang, Zhong Xue
2023	—	`conf`	FAST-Net: A Coarse-to-fine Pyramid Network for Face-Skull Transformation. MLMI@MICCAI (2) Lei Zhao, Lei Ma, Zhiming Cui, Jie Zheng, Zhong Xue, Feng Shi, Dinggang Shen
2023	—	`conf`	HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images. MICCAI (3) 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	J	`jnl`	Knee Cartilage Defect Assessment by Graph Representation and Surface Convolution. IEEE Trans. Medical Imaging Zixu Zhuang, Liping Si, Sheng Wang, Kai Xuan, Xi Ouyang, Yiqiang Zhan, Zhong Xue, Lichi Zhang, Dinggang Shen, Weiwu Yao, Qian Wang
2023	—	`conf`	MT-NeT: Multi-Modality Transfer Learning Network for Automated Carotid Vessel Wall Segmentation using Sparse Annotation in MRI. ISBI 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
2023	—	`conf`	Modeling Life-Span Brain Age from Large-Scale Dataset Based on Multi-level Information Fusion. MLMI@MICCAI (2) Nan Zhao, Yongsheng Pan, Kaicong Sun, Yuning Gu, Mianxin Liu, Zhong Xue, Han Zhang, Qing Yang, Fei Gao, Feng Shi, Dinggang Shen
2023	—	`conf`	Multi-Scale Supervised Contrastive Learning for Benign-Malignant Classification of Pulmonary Nodules in Chest Ct Scans. ISBI Xiaoxian Xu, Ying Wei, Jie Zheng, Zhongxiang Ding, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Feng Shi, Dinggang Shen
2023	—	`conf`	Reconstruction of 3D Fetal Brain MRI from 2D Cross-Sectional Acquisitions Using Unsupervised Learning Network. MLMI@MICCAI (1) Yimeng Yang, Dongdong Gu, Xukun Zhang, Zhongxiang Ding, Fei Gao, Zhong Xue, Dinggang Shen
2023	J	`jnl`	Segment aorta and localize landmarks simultaneously on noncontrast CT using a multitask learning framework for patients without severe vascular disease. Comput. Biol. Medicine Jinrong Yang, Xiang Li, Jie-Zhi Cheng, Zhong Xue, Feng Shi, Yuqing Ji, Xuechun Wang, Fan Yang
2023	—	`conf`	Semi-Supervised Domain-Adaptive Pulmonary Artery Segmentation via Uncertainty Guidance and Shape Strengthening. ISBI Jiyuan Liu, Xiao Zhang, Dongdong Gu, Xi Ouyang, Jiadong Zhang, Xuming He, Dinggang Shen, Zhong Xue
2023	J	`jnl`	TaG-Net: Topology-Aware Graph Network for Centerline-Based Vessel Labeling. IEEE Trans. Medical Imaging Linlin Yao, Feng Shi, Sheng Wang, Xiao Zhang, Zhong Xue, Xiaohuan Cao, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Dinggang Shen
2022	J	`jnl`	Automatic Grading Assessments for Knee MRI Cartilage Defects via Self-ensembling Semi-supervised Learning with Dual-Consistency. Medical Image Anal. 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
2022	J	`jnl`	Evaluation of an automated intracranial aneurysm detection and rupture analysis approach using cascade detection and classification networks. Comput. Medical Imaging Graph. 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
2022	—	`conf`	Head and Neck Vessel Segmentation with Connective Topology Using Affinity Graph. MLMI@MICCAI Linlin Yao, Zhong Xue, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Feng Shi, Dinggang Shen
2022	J	`jnl`	Knee Cartilage Defect Assessment by Graph Representation and Surface Convolution. CoRR Zixu Zhuang, Liping Si, Sheng Wang, Kai Xuan, Xi Ouyang, Yiqiang Zhan, Zhong Xue, Lichi Zhang, Dinggang Shen, Weiwu Yao, Qian Wang
2022	—	`conf`	Local Graph Fusion of Multi-view MR Images for Knee Osteoarthritis Diagnosis. MICCAI (3) Zixu Zhuang, Sheng Wang, Liping Si, Kai Xuan, Zhong Xue, Dinggang Shen, Lichi Zhang, Weiwu Yao, Qian Wang
2022	—	`conf`	TaG-Net: Topology-Aware Graph Network for Vessel Labeling. ISGIE/GRAIL@MICCAI Linlin Yao, Zhong Xue, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Feng Shi, Dinggang Shen
2022	—	`conf`	Whole Mammography Diagnosis via Multi-instance Supervised Discriminative Localization and Classification. MLMI@MICCAI Qingxia Wu, Hongna Tan, Yaping Wu, Pei Dong, Jifei Che, Zheren Li, Chenjin Lei, Dinggang Shen, Zhong Xue, Meiyun Wang
2021	—	`conf`	3DMeT: 3D Medical Image Transformer for Knee Cartilage Defect Assessment. MLMI@MICCAI Sheng Wang, Zixu Zhuang, Kai Xuan, Dahong Qian, Zhong Xue, Jia Xu, Ying Liu, Yiming Chai, Lichi Zhang, Qian Wang, Dinggang Shen
2021	—	`conf`	A Multi-scale Graph Network with Multi-head Attention for Histopathology Image Diagnosisn. COMPAY@MICCAI Xiaodan Xing, Yixin Ma, Lei Jin, Tianyang Sun, Zhong Xue, Feng Shi, Jinsong Wu, Dinggang Shen
2021	J	`jnl`	A consistent deep registration network with group data modeling. Comput. Medical Imaging Graph. Dongdong Gu, Guocai Liu, Xiaohuan Cao, Zhong Xue, Dinggang Shen
2021	—	`conf`	Anatomical Structure-Aware Pulmonary Nodule Detection via Parallel Multi-task RoI Head. PRIME@MICCAI Haoyi Tao, Yuanfang Qiao, Lichi Zhang, Yiqiang Zhan, Zhong Xue, Qian Wang
2021	J	`jnl`	Computing infection distributions and longitudinal evolution patterns in lung CT images. BMC Medical Imaging 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
2021	—	`conf`	Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning. MICCAI (7) Zheren Li, Zhiming Cui, Sheng Wang, Yuji Qi, Xi Ouyang, Qitian Chen, Yuezhi Yang, Zhong Xue, Dinggang Shen, Jie-Zhi Cheng
2021	J	`jnl`	Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning. CoRR Zheren Li, Zhiming Cui, Sheng Wang, Yuji Qi, Xi Ouyang, Qitian Chen, Yuezhi Yang, Zhong Xue, Dinggang Shen, Jie-Zhi Cheng
2021	—	`conf`	Multiresolution Registration Network (MRN) Hierarchy with Prior Knowledge Learning. MLMI@MICCAI Dongdong Gu, Xiaohuan Cao, Guocai Liu, Dinggang Shen, Zhong Xue
2021	—	`conf`	Nodule Synthesis and Selection for Augmenting Chest X-ray Nodule Detection. PRCV (3) Zhenrong Shen, Xi Ouyang, Zhuochen Wang, Yiqiang Zhan, Zhong Xue, Qian Wang, Jie-Zhi Cheng, Dinggang Shen
2021	J	`jnl`	On the performance of lung nodule detection, segmentation and classification. Comput. Medical Imaging Graph. Dongdong Gu, Guocai Liu, Zhong Xue
2021	J	`jnl`	Reducing magnetic resonance image spacing by learning without ground-truth. Pattern Recognit. Kai Xuan, Liping Si, Lichi Zhang, Zhong Xue, Yining Jiao, Weiwu Yao, Dinggang Shen, Dijia Wu, Qian Wang
2021	—	`conf`	Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms. MICCAI (7) Xi Ouyang, Jifei Che, Qitian Chen, Zheren Li, Yiqiang Zhan, Zhong Xue, Qian Wang, Jie-Zhi Cheng, Dinggang Shen
2021	—	`conf`	Self-guided Multi-attention Network for Periventricular Leukomalacia Recognition. PRIME@MICCAI 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	—	`conf`	Variational Encoding and Decoding for Hybrid Supervision of Registration Network. MLMI@MICCAI Dongdong Gu, Xiaohuan Cao, Guocai Liu, Zhong Xue, Dinggang Shen
2020	—	`conf`	A Self-ensembling Framework for Semi-supervised Knee Cartilage Defects Assessment with Dual-Consistency. PRIME@MICCAI Jiayu Huo, Liping Si, Xi Ouyang, Kai Xuan, Weiwu Yao, Zhong Xue, Qian Wang, Dinggang Shen, Lichi Zhang
2020	J	`jnl`	A Self-ensembling Framework for Semi-supervised Knee Osteoarthritis Localization and Classification with Dual-Consistency. CoRR Jiayu Huo, Liping Si, Xi Ouyang, Kai Xuan, Weiwu Yao, Zhong Xue, Lichi Zhang, Qian Wang
2020	—	`conf`	Automatic Segmentation of Non-tumor Tissues in Glioma MR Brain Images Using Deformable Registration with Partial Convolutional Networks. BrainLes@MICCAI (1) Zhongqiang Liu, Dongdong Gu, Yu Zhang, Xiaohuan Cao, Zhong Xue
2020	—	`conf`	Cross-View Label Transfer in Knee MR Segmentation Using Iterative Context Learning. DART/DCL@MICCAI Tong Li, Kai Xuan, Zhong Xue, Lei Chen, Lichi Zhang, Dahong Qian
2020	—	`conf`	Detection of Discriminative Neurological Circuits Using Hierarchical Graph Convolutional Networks in fMRI Sequences. UNSURE/GRAIL@MICCAI Xiaodan Xing, Lili Jin, Qinfeng Li, Lei Chen, Zhong Xue, Ziwen Peng, Feng Shi, Dinggang Shen
2020	—	`conf`	Graph Convolutional Network Based Point Cloud for Head and Neck Vessel Labeling. MLMI@MICCAI Linlin Yao, Pengbo Jiang, Zhong Xue, Yiqiang Zhan, Dijia Wu, Lichi Zhang, Qian Wang, Feng Shi, Dinggang Shen
2020	—	`conf`	Ischemic Stroke Segmentation from CT Perfusion Scans Using Cluster-Representation Learning. MLCN/RNO-AI@MICCAI Jianyuan Zhang, Feng Shi, Lei Chen, Zhong Xue, Lichi Zhang, Dahong Qian
2020	—	`conf`	Joint Appearance-Feature Domain Adaptation: Application to QSM Segmentation Transfer. MLMI@MICCAI Bin Xiao, Naying He, Qian Wang, Zhong Xue, Lei Chen, Fuhua Yan, Feng Shi, Dinggang Shen
2020	—	`conf`	Learning MRI k-Space Subsampling Pattern Using Progressive Weight Pruning. MICCAI (2) Kai Xuan, Shanhui Sun, Zhong Xue, Qian Wang, Shu Liao
2020	J	`jnl`	Lung Infection Quantification of COVID-19 in CT Images with Deep Learning. CoRR Fei Shan, Yaozong Gao, Jun Wang, Weiya Shi, Nannan Shi, Miaofei Han, Zhong Xue, Dinggang Shen, Yuxin Shi
2020	—	`conf`	Pair-Wise and Group-Wise Deformation Consistency in Deep Registration Network. MICCAI (3) Dongdong Gu, Xiaohuan Cao, Shanshan Ma, Lei Chen, Guocai Liu, Dinggang Shen, Zhong Xue
2020	J	`jnl`	SLIR: Synthesis, localization, inpainting, and registration for image-guided thermal ablation of liver tumors. Medical Image Anal. Dongming Wei, Sahar Ahmad, Jiayu Huo, Pu Huang, Pew-Thian Yap, Zhong Xue, Jianqi Sun, Wentao Li, Dinggang Shen, Qian Wang
2020	—	`conf`	Semantic Hierarchy Guided Registration Networks for Intra-subject Pulmonary CT Image Alignment. MICCAI (3) Liyun Chen, Xiaohuan Cao, Lei Chen, Yaozong Gao, Dinggang Shen, Qian Wang, Zhong Xue
2020	—	`conf`	mr PRIME@MICCAI Sheng Wang, Jiayu Huo, Xi Ouyang, Jifei Che, Zhong Xue, Dinggang Shen, Qian Wang, Jie-Zhi Cheng
2020	J	`jnl`	mr2NST: Multi-Resolution and Multi-Reference Neural Style Transfer for Mammography. CoRR Sheng Wang, Jiayu Huo, Xi Ouyang, Jifei Che, Xuhua Ren, Zhong Xue, Qian Wang, Jie-Zhi Cheng
2019	—	`conf`	Dynamic Spectral Graph Convolution Networks with Assistant Task Training for Early MCI Diagnosis. MICCAI (4) Xiaodan Xing, Qingfeng Li, Hao Wei, Minqing Zhang, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Feng Shi
2019	—	`conf`	Novel Iterative Attention Focusing Strategy for Joint Pathology Localization and Prediction of MCI Progression. MICCAI (4) Qingfeng Li, Xiaodan Xing, Ying Sun, Bin Xiao, Hao Wei, Quan Huo, Minqing Zhang, Xiang Sean Zhou, Yiqiang Zhan, Zhong Xue, Feng Shi
2019	J	`jnl`	Preventing inpatient falls with injuries using integrative machine learning prediction: a cohort study. npj Digit. Medicine 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
2019	—	`conf`	Reconstruction of Isotropic High-Resolution MR Image from Multiple Anisotropic Scans Using Sparse Fidelity Loss and Adversarial Regularization. MICCAI (3) Kai Xuan, Dongming Wei, Dijia Wu, Zhong Xue, Yiqiang Zhan, Weiwu Yao, Qian Wang
2019	—	`conf`	Regression-Based Line Detection Network for Delineation of Largely Deformed Brain Midline. MICCAI (3) Hao Wei, Xiangyu Tang, Minqing Zhang, Qingfeng Li, Xiaodan Xing, Xiang Sean Zhou, Zhong Xue, Wenzhen Zhu, Zailiang Chen, Feng Shi
2019	—	`conf`	Synthesis and Inpainting-Based MR-CT Registration for Image-Guided Thermal Ablation of Liver Tumors. MICCAI (5) Dongming Wei, Sahar Ahmad, Jiayu Huo, Wen Peng, Yunhao Ge, Zhong Xue, Pew-Thian Yap, Wentao Li, Dinggang Shen, Qian Wang
2019	J	`jnl`	Synthesis and Inpainting-Based MR-CT Registration for Image-Guided Thermal Ablation of Liver Tumors. CoRR Dongming Wei, Sahar Ahmad, Jiayu Huo, Wen Peng, Yunhao Ge, Zhong Xue, Pew-Thian Yap, Wentao Li, Dinggang Shen, Qian Wang
2019	—	`conf`	Unpaired Mr to CT Synthesis with Explicit Structural Constrained Adversarial Learning. ISBI Yunhao Ge, Dongming Wei, Zhong Xue, Qian Wang, Xiang Zhou, Yiqiang Zhan, Shu Liao
2019	B	`conf`	Unpaired whole-body MR to CT synthesis with correlation coefficient constrained adversarial learning. Image Processing Yunhao Ge, Zhong Xue, Tuoyu Cao, Shu Liao
2019	—	`conf`	Weakly Supervised Confidence Learning for Brain MR Image Dense Parcellation. MLMI@MICCAI Bin Xiao, Xiaoqing Cheng, Qingfeng Li, Qian Wang, Lichi Zhang, Dongming Wei, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Guangming Lu, Feng Shi
2019	—	`conf`	Weakly Supervised Segmentation Framework with Uncertainty: A Study on Pneumothorax Segmentation in Chest X-ray. MICCAI (6) Xi Ouyang, Zhong Xue, Yiqiang Zhan, Xiang Sean Zhou, Qingfeng Wang, Ying Zhou, Qian Wang, Jie-Zhi Cheng
2018	—	`conf`	Adversarial Similarity Network for Evaluating Image Alignment in Deep Learning Based Registration. MICCAI (1) Jingfan Fan, Xiaohuan Cao, Zhong Xue, Pew-Thian Yap, Dinggang Shen
2018	—	`conf`	Deep Learning Based Inter-modality Image Registration Supervised by Intra-modality Similarity. MLMI@MICCAI Xiaohuan Cao, Jianhuan Yang, Li Wang, Zhong Xue, Qian Wang, Dinggang Shen
2018	J	`jnl`	Deep Learning based Inter-Modality Image Registration Supervised by Intra-Modality Similarity. CoRR Xiaohuan Cao, Jianhua Yang, Li Wang, Zhong Xue, Qian Wang, Dinggang Shen
2017	—	`conf`	Dynamic Respiratory Motion Estimation Using Patch-Based Kernel-PCA Priors for Lung Cancer Radiotherapy. CMMI/RAMBO/SWITCH@MICCAI Tiancheng He, Ramiro Pino, Bin S. Teh, Stephen T. Wong, Zhong Xue
2017	—	`conf`	Transductive local fisher discriminant analysis for gene expression profile-based cancer classification. BHI Danping Li, Lei Wang, Jiajun Wang, Zhong Xue, Stephen T. C. Wong
2016	—	`conf`	A three-dimensional medical image segmentation app using graphic theory. BHI Tiancheng He, Zhong Xue, Stephen T. Wong
2016	—	`conf`	Estimating Lung Respiratory Motion Using Combined Global and Local Statistical Models. Patch-MI@MICCAI Zhong Xue, Ramiro Pino, Bin S. Teh
2016	B	`conf`	Manifold Regularized Multi-view Subspace Clustering for image representation. ICPR Lei Wang, Danping Li, Tiancheng He, Zhong Xue
2016	—	`conf`	Nonlinear dynamic analysis of resting EEG alpha activity for heroin addicts. BIBM Qinglin Zhao, Bin Hu, Wenhua Lin, Zhixue Li, Hua Jiang, Zhong Xue, Hongqian Li, Quanying Liu
2016	—	`conf`	Quantitative Analysis of 3D T1-Weighted Gadolinium (Gd) DCE-MRI with Different Repetition Times. MIAR Elijah D. Rockers, Maria B. Pascual, Sahil Bajaj, Joseph C. Masdeu, Zhong Xue
2016	—	`conf`	Transductive Maximum Margin Classification of ADHD Using Resting State fMRI. MLMI@MICCAI Lei Wang, Danping Li, Tiancheng He, Stephen T. C. Wong, Zhong Xue
2016	—	`conf`	When discriminative K-means meets Grassmann manifold: Disease gene identification via a general multi-view clustering method. BHI Danping Li, Lei Wang, Zhong Xue, Stephen T. C. Wong
2014	—	`conf`	Estimating Dynamic Lung Images from High-Dimension Chest Surface Motion Using 4D Statistical Model. MICCAI (2) Tiancheng He, Zhong Xue, Nam Yu, Paige L. Nitsch, Bin S. Teh, Stephen T. Wong
2014	J	`jnl`	Fractional anisotropy asymmetry and the side of seizure origin for partial onset-temporal lobe epilepsy. Comput. Medical Imaging Graph. Hai Li, Zhong Xue, Mario F. Dulay, Amit Verma, Christof Karmonik, Robert G. Grossman, Stephen T. C. Wong
2014	—	`conf`	Spatial-Temporal Image-Constrained Lung 4D-CT Reconstruction for Radiotherapy Planning. CLIP@MICCAI Tiancheng He, Zhong Xue, Nam Yu, Bin S. Teh, Stephen T. Wong
2013	J	`jnl`	A Fast CT and CT-Fluoroscopy Registration Algorithm With Respiratory Motion Compensation for Image-Guided Lung Intervention. IEEE Trans. Biomed. Eng. Po Su, Jianhua Yang, Kongkuo Lu, Nam Yu, Stephen T. Wong, Zhong Xue
2013	—	`conf`	A robust semi-automatic approach for ROI segmentation in 3D CT images. EMBC Kongkuo Lu, Zhong Xue, Stephen T. Wong
2013	—	`conf`	Analyzing grey matter diffusivity of autism in the context of white matter connectivity. ISBI Hai Li, Zhong Xue, Timothy M. Ellmore, Richard E. Frye, Stephen T. Wong
2013	—	`conf`	Helical Mode Lung 4D-CT Reconstruction Using Bayesian Model. MICCAI (3) Tiancheng He, Zhong Xue, Paige L. Nitsch, Bin S. Teh, Stephen T. Wong
2013	—	`conf`	Simultaneous Tensor and Fiber Registration (STFR) for Diffusion Tensor Images of the Brain. AE-CAI Zhong Xue, Stephen T. C. Wong
2013	—	`conf`	Superpixel-Based Segmentation of Glioblastoma Multiforme from Multimodal MR Images. MBIA Po Su, Jianhua Yang, Hai Li, Linda Chi, Zhong Xue, Stephen T. Wong
2012	J	`jnl`	A minimally invasive multimodality image-guided (MIMIG) system for peripheral lung cancer intervention and diagnosis. Comput. Medical Imaging Graph. Tiancheng He, Zhong Xue, Kongkuo Lu, Miguel Valdivia y Alvarado, Kelvin K. Wong, Weixin Xie, Stephen T. C. Wong
2012	B	`conf`	A novel approach for three dimensional dendrite spine segmentation and classification. Image Processing Tiancheng He, Zhong Xue, Stephen T. C. Wong
2012	—	`conf`	Automatic segmentation and centroid detection of skin sensors for lung interventions. Image-Guided Procedures Kongkuo Lu, Sheng Xu, Zhong Xue, Stephen T. Wong
2012	—	`conf`	Fast CT-CT fluoroscopy registration with respiratory motion compensation for image-guided lung intervention. Image-Guided Procedures Po Su, Zhong Xue, Kongkuo Lu, Jianhua Yang, Stephen T. Wong
2012	—	`conf`	Identification of faulty DTI-based sub-networks in autism using network regularized SVM. ISBI Hai Li, Zhong Xue, Timothy M. Ellmore, Richard E. Frye, Stephen T. C. Wong
2012	B	`conf`	Live-wire-based segmentation of (3D) anatomical structures for image-guided lung interventions. Image Processing Kongkuo Lu, Sheng Xu, Zhong Xue, Stephen T. Wong
2012	J	`jnl`	Motion correction for cellular-resolution multi-photon fluorescence microscopy imaging of awake head-restrained mice using speed embedded HMM. Comput. Medical Imaging Graph. Taoyi Chen, Zhong Xue, Changhong Wang, Zhenshen Qu, Kelvin K. Wong, Stephen T. C. Wong
2012	—	`conf`	Support vector machine (SVM) active learning for automated Glioblastoma segmentation. ISBI Po Su, Zhong Xue, Linda Chi, Jianhua Yang, Stephen T. Wong
2012	—	`conf`	Three-dimensional dendritic spine detection based on minimal cross-sectional curvature. ISBI Tiancheng He, Zhong Xue, Yong Kim, Stephen T. Wong
2011	J	`jnl`	Diffusion tensor-based fast marching for modeling human brain connectivity network. Comput. Medical Imaging Graph. Hai Li, Zhong Xue, Kemi Cui, Stephen T. C. Wong
2011	J	`jnl`	Tissue probability map constrained 4D clustering algorithm for increased accuracy and robustness in SerialMR brain image segmentation. Int. J. Medical Eng. Informatics Zhong Xue, Dinggang Shen, Hai Li, Stephen T. C. Wong
2011	J	`jnl`	Topology preservation evaluation of compact-support radial basis functions for image registration. Pattern Recognit. Lett. Xuan S. Yang, Zhong Xue, Xia Liu, Darong Xiong
2010	—	`conf`	A Minimally Invasive Multimodality Image-Guided (MIMIG) Molecular Imaging System for Peripheral Lung Cancer Intervention and Diagnosis. IPCAI Tiancheng He, Zhong Xue, Kelvin K. Wong, Miguel Valdivia y Alvarado, Yong Zhang, Weixin Xie, Stephen T. C. Wong
2010	—	`conf`	A Motion Correction Algorithm for Microendoscope Video Computing in Image-Guided Intervention. MIAR Tiancheng He, Zhong Xue, Weixin Xie, Solomon Wong, Kelvin K. Wong, Miguel Valdivia y Alvarado, Stephen T. C. Wong
2010	J	`jnl`	A hybrid approach to automatic clustering of white matter fibers. NeuroImage Hai Li, Zhong Xue, Lei Guo, Tianming Liu, Jill Hunter, Stephen T. C. Wong
2010	J	`jnl`	A local fast marching-based diffusion tensor image registration algorithm by simultaneously considering spatial deformation and tensor orientation. NeuroImage Zhong Xue, Hai Li, Lei Guo, Stephen T. C. Wong
2010	J	`jnl`	A novel approach for curve evolution in segmentation of medical images. Comput. Medical Imaging Graph. Mahshid Farzinfar, Zhong Xue, Eam Khwang Teoh
2010	B	`conf`	An expectation-maximization approach to joint curve evolution for medical image segmentation. Image Processing Mahshid Farzinfar, Eam Khwang Teoh, Zhong Xue
2010	C	`conf`	Applying training hidden features to joint curve evolution for brain MRI segmentation. ICARCV Mahshid Farzinfar, Eam Khwang Teoh, Zhong Xue
2010	—	`conf`	Distinguishing Left or Right Temporal Lobe Epilepsy from Controls Using Fractional Anisotropy Asymmetry Analysis. MIAR Hai Li, Zhong Xue, Mario F. Dulay, Amit Verma, Solomon Wong, Christof Karmonik, Robert G. Grossman, Stephen T. C. Wong
2010	J	`jnl`	Introduction to the special issue of image-guided surgical planning and therapy. Comput. Medical Imaging Graph. Hongen Liao, Kelvin K. Wong, Zhong Xue
2010	J	`jnl`	Joint registration and segmentation of serial lung CT images for image-guided lung cancer diagnosis and therapy. Comput. Medical Imaging Graph. Zhong Xue, Kelvin K. Wong, Stephen T. C. Wong
2010	—	`conf`	Motion Artifact Correction of Multi-Photon Imaging of Awake Mice Models Using Speed Embedded HMM. MICCAI (3) Taoyi Chen, Zhong Xue, Changhong Wang, Zhenshen Qu, Kelvin K. Wong, Stephen T. C. Wong
2010	—	`conf`	Online 4-D CT Estimation for Patient-Specific Respiratory Motion Based on Real-Time Breathing Signals. MICCAI (3) Tiancheng He, Zhong Xue, Weixin Xie, Stephen T. C. Wong
2010	—	`conf`	PICE: prior information constrained evolution for 3-D and 4-D brain tumor segmentation. ISBI Xiaojun Xue, Zhong Xue, Fei Cao, Ying Zhu, Geoffrey S. Young, Yan Li, Jianhua Yang, Stephen T. C. Wong
2010	—	`conf`	Peripheral Lung Cancer Detection by Vascular Tumor Labeling Using In-Vivo Microendoscopy under Real Time 3D CT Image Guided Intervention. MIAR Miguel Valdivia y Alvarado, Tiancheng He, Zhong Xue, Stephen T. C. Wong, Kelvin K. Wong
2010	—	`conf`	The Alzheimer's Disease Neuroimaging Initiative: Consistent 4D Cortical Thickness Measurement for Longitudinal Neuroimaging Study. MICCAI (2) Yang Li, Yaping Wang, Zhong Xue, Feng Shi, Weili Lin, Dinggang Shen
2009	J	`jnl`	A new statistically-constrained deformable registration framework for MR brain images. Int. J. Medical Eng. Informatics Zhong Xue, Dinggang Shen
2009	J	`jnl`	Automated brain tumor segmentation using spatial accuracy-weighted hidden Markov Random Field. Comput. Medical Imaging Graph. Jingxin Nie, Zhong Xue, Tianming Liu, Geoffrey S. Young, Kian Setayesh, Lei Guo, Stephen T. C. Wong
2009	—	`conf`	Simultaneous Consideration of Spatial Deformation and Tensor Orientation in Diffusion Tensor Image Registration Using Local Fast Marching Patterns. IPMI Hai Li, Zhong Xue, Lei Guo, Stephen T. C. Wong
2009	B	`conf`	Tissue probability map constrained CLASSIC for increased accuracy and robustness in serial image segmentation. Image Processing Zhong Xue, Dinggang Shen, Stephen T. C. Wong
2009	—	`conf`	Voles: Vascularity-Oriented Level Set Algorithm for Pulmonary Vessel Segmentation in Image Guided Intervention Therapy. ISBI Xiangjun Zhu, Zhong Xue, Xin Gao, Yisheng Zhu, Stephen T. C. Wong
2008	C	`conf`	A coupled implicit shape-based deformable model for segmentation of MR images. ICARCV Mahshid Farzinfar, Eam Khwang Teoh, Zhong Xue
2008	—	`conf`	Improving Parenchyma Segmentation by Simultaneous Estimation of Tissue Property T1 Map and Group-Wise Registration of Inversion Recovery MR Breast Images. MICCAI (1) Ye Xing, Zhong Xue, Sarah Englander, Mitchell D. Schnall, Dinggang Shen
2008	—	`conf`	Joint Parametric and Non-parametric Curve Evolution for Medical Image Segmentation. ECCV (1) Mahshid Farzinfar, Zhong Xue, Eam Khwang Teoh
2008	—	`conf`	Joint Registration and Segmentation of Serial Lung CT Images in Microendoscopy Molecular Image-Guided Therapy. MIAR Zhong Xue, Kelvin K. Wong, Stephen T. C. Wong
2008	J	`jnl`	Multimodality image registration by maximization of quantitative-qualitative measure of mutual information. Pattern Recognit. Hongxia Luan, Feihu Qi, Zhong Xue, Liya Chen, Dinggang Shen
2008	J	`jnl`	Segmenting Lung Fields in Serial Chest Radiographs Using Both Population-Based and Patient-Specific Shape Statistics. IEEE Trans. Medical Imaging Yonghong Shi, Feihu Qi, Zhong Xue, Liya Chen, Kyoko Ito, Hidenori Matsuo, Dinggang Shen
2007	—	`conf`	Statistically-Constrained Deformable Registration of Mr Brain Images. ISBI Zhong Xue, Dinggang Shen
2006	J	`jnl`	CLASSIC: Consistent Longitudinal Alignment and Segmentation for Serial Image Computing. NeuroImage Zhong Xue, Dinggang Shen, Christos Davatzikos
2006	—	`conf`	Segmenting Lung Fields in Serial Chest Radiographs Using Both Population and Patient-Specific Shape Statistics. MICCAI (1) Yonghong Shi, Feihu Qi, Zhong Xue, Kyoko Ito, Hidenori Matsuo, Dinggang Shen
2006	C	`conf`	Segmenting MR Images Using Fully-Tuned Radial Basis Functions (RBF). ICARCV Yan Li, Zhongming Li, Zhong Xue
2006	J	`jnl`	Simulating deformations of MR brain images for validation of atlas-based segmentation and registration algorithms. NeuroImage Zhong Xue, Dinggang Shen, Bilge Karaçali, Joshua Stern, David A. Rottenberg, Christos Davatzikos
2006	J	`jnl`	Statistical representation of high-dimensional deformation fields with application to statistically constrained 3D warping. Medical Image Anal. Zhong Xue, Dinggang Shen, Christos Davatzikos
2006	—	`conf`	Statistically-Constrained High-Dimensional Warping Using Wavelet-Based Priors. CVPR Workshops Zhong Xue, Dinggang Shen, Christos Davatzikos
2005	—	`conf`	CLASSIC: Consistent Longitudinal Alignment and Segmentation for Serial Image Computing. IPMI Zhong Xue, Dinggang Shen, Christos Davatzikos
2005	—	`conf`	Consistent Estimation of Cardiac Motions by 4D Image Registration. MICCAI (2) Dinggang Shen, Hari Sundar, Zhong Xue, Yong Fan, Harold Litt
2005	—	`conf`	Statistical Representation and Simulation of High-Dimensional Deformations: Application to Synthesizing Brain Deformations. MICCAI (2) Zhong Xue, Dinggang Shen, Bilge Karaçali, Christos Davatzikos
2004	J	`jnl`	Determining correspondence in 3-D MR brain images using attribute vectors as morphological signatures of voxels. IEEE Trans. Medical Imaging Zhong Xue, Dinggang Shen, Christos Davatzikos
2004	—	`conf`	Morphological Classification of Medical Images using Nonlinear Support Vector Machines. ISBI Christos Davatzikos, Dinggang Shen, Zhiqiang Lao, Zhong Xue, Bilge Karaçali
2004	J	`jnl`	Morphological classification of brains via high-dimensional shape transformations and machine learning methods. NeuroImage Zhiqiang Lao, Dinggang Shen, Zhong Xue, Bilge Karaçali, Susan M. Resnick, Christos Davatzikos
2003	J	`jnl`	Bayesian shape model for facial feature extraction and recognition. Pattern Recognit. Zhong Xue, Stan Z. Li, Eam Khwang Teoh
2003	—	`conf`	Correspondence Detection Using Wavelet-Based Attribute Vectors. MICCAI (2) Zhong Xue, Dinggang Shen, Christos Davatzikos
2002	C	`conf`	A novel Bayesian shape model for facial feature extraction. ICARCV Zhong Xue, Stan Z. Li, Dinggang Shen, Eam Khwang Teoh
2002	J	`jnl`	AI-EigenSnake: an affine-invariant deformable contour model for object matching. Image Vis. Comput. Zhong Xue, Stan Z. Li, Eam Khwang Teoh
2001	J	`jnl`	An efficient fuzzy algorithm for aligning shapes under affine transformations. Pattern Recognit. Zhong Xue, Dinggang Shen, Eam Khwang Teoh
2001	—	`conf`	Facial feature extraction and image warping using PCA based statistic model. ICIP (2) Zhong Xue, Stan Z. Li, Eam Khwang Teoh
2000	B	`conf`	A Deformable Template Model Based on Fuzzy Alignment Algorithm. ICIP Zhong Xue, Dinggang Shen, Eam Khwang Teoh
2000	B	`conf`	A Novel Affine Invariant Feature Set and its Application in Motion Estimation. ICIP Liya Chen, Zhongkang Lu, Eam Khwang Teoh, Zhong Xue
2000	B	`conf`	A novel eigenvector approach to pose and correspondence estimation. SMC Zhong Xue, Eam Khwang Teoh
2000	B	`conf`	Efficient Object Matching Using Affine-Invariant Deformable Contour. ICPR Zhong Xue, Stan Z. Li, Eam Khwang Teoh