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2020 – today
- 2024
[j41]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: 108574 (2024)- [j40]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: 106426 (2024) - [j39]Lunhu Hu, Xing Pan, Rui Kang, Jian Chu, Yunfeng Gao, Zhong Xue, Hexi Baoyin:
Dynamic risk assessment of Uncertain Random System considering operator's simple emergency-stop action in short time window. Reliab. Eng. Syst. Saf. 252: 110479 (2024) - [j38]Xibao Li, Xi Ouyang, Jiadong Zhang, Zhongxiang Ding, Yuyao Zhang, Zhong Xue, Feng Shi, Dinggang Shen:
Carotid Vessel Wall Segmentation Through Domain Aligner, Topological Learning, and Segment Anything Model for Sparse Annotation in MR Images. IEEE Trans. Medical Imaging 43(12): 4483-4495 (2024) - [c107]Liyun Chen, Linlin Yao, Qian Wang, Zhong Xue:
Semi-Supervised Learning of Visual Attributes for Automated Assessment of Lung Nodule Malignancy. ISBI 2024: 1-5 - [c106]Xiangyu Zhao, Xi Ouyang, Lichi Zhang, Zhong Xue, Dinggang Shen:
Exploiting Latent Classes for Medical Image Segmentation from Partially Labeled Datasets. MICCAI (8) 2024: 273-282 - [c105]Xi Ouyang, Dongdong Gu, Xuejian Li, Wenqi Zhou, Qianqian Chen, Yiqiang Zhan, Xiang Sean Zhou, Feng Shi, Zhong Xue, Dinggang Shen:
Prompt-Based Segmentation Model of Anatomical Structures and Lesions in CT Images. MICCAI (8) 2024: 522-532 - [c104]Qingrui Sha, Kaicong Sun, Mingze Xu, Yonghao Li, Zhong Xue, Xiaohuan Cao, Dinggang Shen:
Hierarchical Symmetric Normalization Registration Using Deformation-Inverse Network. MICCAI (2) 2024: 662-672 - [c103]Jiuli Xiong, Lanzhuju Mei, Jiameng Liu, Dinggang Shen, Zhong Xue, Xiaohuan Cao:
SDF-Net: A Hybrid Detection Network for Mediastinal Lymph Node Detection on Contrast CT Images. MLMI@MICCAI (2) 2024: 191-200 - [c102]Yichen Yang, Pengbo Jiang, Xiran Cai, Zhong Xue, Dinggang Shen:
Integrating Convolutional Neural Network and Transformer for Lumen Prediction Along the Aorta Sections. MLMI@MICCAI (1) 2024: 340-349 - [i8]Jiuli Xiong, Lanzhuju Mei, Jiameng Liu, Dinggang Shen, Zhong Xue, Xiaohuan Cao:
SDF-Net: A Hybrid Detection Network for Mediastinal Lymph Node Detection on Contrast CT Images. CoRR abs/2409.06324 (2024) - 2023
- [j37]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): 181 (2023) - [j36]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: 107002 (2023) - [j35]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): 2138-2147 (2023) - [j34]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): 368-379 (2023) - [j33]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): 3155-3166 (2023) - [c101]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: 1-4 - [c100]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: 1-4 - [c99]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: 1-4 - [c98]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: 110-119 - [c97]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: 551-560 - [c96]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: 33-41 - [c95]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: 74-83 - [c94]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: 84-93 - [c93]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: 104-113 - [c92]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: 157-165 - [c91]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: 243-252 - 2022
- [j32]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: 102126 (2022) - [j31]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: 102508 (2022) - [c90]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: 108-117 - [c89]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: 131-139 - [c88]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: 230-238 - [c87]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: 554-563 - [i7]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 abs/2201.04318 (2022) - 2021
- [j30]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): 57 (2021) - [j29]Dongdong Gu, Guocai Liu, Zhong Xue:
On the performance of lung nodule detection, segmentation and classification. Comput. Medical Imaging Graph. 89: 101886 (2021) - [j28]Dongdong Gu, Guocai Liu, Xiaohuan Cao, Zhong Xue, Dinggang Shen:
A consistent deep registration network with group data modeling. Comput. Medical Imaging Graph. 90: 101904 (2021) - [j27]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: 108103 (2021) - [c86]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: 227-235 - [c85]Dongdong Gu, Xiaohuan Cao, Guocai Liu, Zhong Xue, Dinggang Shen:
Variational Encoding and Decoding for Hybrid Supervision of Registration Network. MLMI@MICCAI 2021: 50-60 - [c84]Dongdong Gu, Xiaohuan Cao, Guocai Liu, Dinggang Shen, Zhong Xue:
Multiresolution Registration Network (MRN) Hierarchy with Prior Knowledge Learning. MLMI@MICCAI 2021: 61-69 - [c83]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: 78-87 - [c82]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: 98-108 - [c81]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: 128-137 - [c80]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: 212-220 - [c79]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: 347-355 - [c78]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: 536-547 - [i6]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 abs/2111.10827 (2021) - 2020
- [j26]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: 101763 (2020) - [c77]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: 41-50 - [c76]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: 67-76 - [c75]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: 96-105 - [c74]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: 121-130 - [c73]Sheng Wang, Jiayu Huo, Xi Ouyang, Jifei Che, Zhong Xue, Dinggang Shen, Qian Wang, Jie-Zhi Cheng:
mr2NST: Multi-resolution and Multi-reference Neural Style Transfer for Mammography. PRIME@MICCAI 2020: 169-177 - [c72]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: 171-180 - [c71]Kai Xuan, Shanhui Sun, Zhong Xue, Qian Wang, Shu Liao:
Learning MRI k-Space Subsampling Pattern Using Progressive Weight Pruning. MICCAI (2) 2020: 178-187 - [c70]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: 181-189 - [c69]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: 200-209 - [c68]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: 241-249 - [c67]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: 474-483 - [i5]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 abs/2003.04655 (2020) - [i4]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 abs/2005.09212 (2020) - [i3]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 abs/2005.11926 (2020)
2010 – 2019
- 2019
- [j25]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) - [c66]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: 1096-1099 - [c65]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: 65-73 - [c64]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: 307-315 - [c63]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: 409-416 - [c62]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: 512-520 - [c61]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: 613-621 - [c60]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: 639-646 - [c59]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: 839-847 - [c58]Yunhao Ge, Zhong Xue, Tuoyu Cao, Shu Liao:
Unpaired whole-body MR to CT synthesis with correlation coefficient constrained adversarial learning. Image Processing 2019: 1094905 - [i2]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 abs/1907.13020 (2019) - 2018
- [c57]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: 55-63 - [c56]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: 739-746 - [i1]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 abs/1804.10735 (2018) - 2017
- [c55]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: 49-52 - [c54]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: 55-65 - 2016
- [c53]Tiancheng He, Zhong Xue, Stephen T. Wong:
A three-dimensional medical image segmentation app using graphic theory. BHI 2016: 268-271 - [c52]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: 364-367 - [c51]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: 533-537 - [c50]Lei Wang, Danping Li, Tiancheng He, Zhong Xue:
Manifold Regularized Multi-view Subspace Clustering for image representation. ICPR 2016: 283-288 - [c49]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: 259-268 - [c48]Zhong Xue, Ramiro Pino, Bin S. Teh:
Estimating Lung Respiratory Motion Using Combined Global and Local Statistical Models. Patch-MI@MICCAI 2016: 133-140 - [c47]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: 221-228 - 2014
- [j24]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): 481-489 (2014) - [c46]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: 126-133 - [c45]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: 138-145 - 2013
- [j23]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): 2034-2041 (2013) - [c44]Kongkuo Lu, Zhong Xue, Stephen T. Wong:
A robust semi-automatic approach for ROI segmentation in 3D CT images. EMBC 2013: 5119-5122 - [c43]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: 1150-1153 - [c42]Zhong Xue, Stephen T. C. Wong:
Simultaneous Tensor and Fiber Registration (STFR) for Diffusion Tensor Images of the Brain. AE-CAI 2013: 1-8 - [c41]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: 33-40 - [c40]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: 74-83 - 2012
- [j22]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): 171-182 (2012) - [j21]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): 345-355 (2012) - [c39]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: 550-553 - [c38]Po Su, Zhong Xue, Linda Chi, Jianhua Yang, Stephen T. Wong:
Support vector machine (SVM) active learning for automated Glioblastoma segmentation. ISBI 2012: 598-601 - [c37]Tiancheng He, Zhong Xue, Yong Kim, Stephen T. Wong:
Three-dimensional dendritic spine detection based on minimal cross-sectional curvature. ISBI 2012: 1639-1642 - [c36]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. Image-Guided Procedures 2012: 83161J - [c35]Kongkuo Lu, Sheng Xu, Zhong Xue, Stephen T. Wong:
Automatic segmentation and centroid detection of skin sensors for lung interventions. Image-Guided Procedures 2012: 831637 - [c34]Kongkuo Lu, Sheng Xu, Zhong Xue, Stephen T. Wong:
Live-wire-based segmentation of (3D) anatomical structures for image-guided lung interventions. Image Processing 2012: 83142J - [c33]Tiancheng He, Zhong Xue, Stephen T. C. Wong:
A novel approach for three dimensional dendrite spine segmentation and classification. Image Processing 2012: 831437 - 2011
- [j20]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): 167-178 (2011) - [j19]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): 286-298 (2011) - [j18]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): 1162-1177 (2011) - 2010
- [j17]Hongen Liao, Kelvin K. Wong, Zhong Xue:
Introduction to the special issue of image-guided surgical planning and therapy. Comput. Medical Imaging Graph. 34(1): 1-2 (2010) - [j16]Zhong Xue, Kelvin K. Wong, Stephen T. C. Wong:
Joint registration and segmentation of serial lung CT images for image-guided lung cancer diagnosis and therapy. Comput. Medical Imaging Graph. 34(1): 55-60 (2010) - [j15]Mahshid Farzinfar, Zhong Xue, Eam Khwang Teoh:
A novel approach for curve evolution in segmentation of medical images. Comput. Medical Imaging Graph. 34(5): 354-361 (2010) - [j14]Hai Li, Zhong Xue, Lei Guo, Tianming Liu, Jill Hunter, Stephen T. C. Wong:
A hybrid approach to automatic clustering of white matter fibers. NeuroImage 49(2): 1249-1258 (2010) - [j13]Zhong Xue, Hai Li, Lei Guo, Stephen T. C. Wong:
A local fast marching-based diffusion tensor image registration algorithm by simultaneously considering spatial deformation and tensor orientation. NeuroImage 52(1): 119-130 (2010) - [c32]Mahshid Farzinfar, Eam Khwang Teoh, Zhong Xue:
Applying training hidden features to joint curve evolution for brain MRI segmentation. ICARCV 2010: 1187-1192 - [c31]Tiancheng He, Zhong Xue, Kelvin K. Wong, Miguel Valdivia y Alvarado, Yong Zhang, Weixin Xie, Stephen T. C. Wong:
A Minimally Invasive Multimodality Image-Guided (MIMIG) Molecular Imaging System for Peripheral Lung Cancer Intervention and Diagnosis. IPCAI 2010: 102-112 - [c30]Xiaojun Xue, Zhong Xue, Fei Cao, Ying Zhu, Geoffrey S. Young, Yan Li, Jianhua Yang, Stephen T. C. Wong:
PICE: prior information constrained evolution for 3-D and 4-D brain tumor segmentation. ISBI 2010: 840-843 - [c29]Hai Li, Zhong Xue, Mario F. Dulay, Amit Verma, Solomon Wong, Christof Karmonik, Robert G. Grossman, Stephen T. C. Wong:
Distinguishing Left or Right Temporal Lobe Epilepsy from Controls Using Fractional Anisotropy Asymmetry Analysis. MIAR 2010: 219-227 - [c28]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: 267-275 - [c27]Miguel Valdivia y Alvarado, Tiancheng He, Zhong Xue, Stephen T. C. Wong, Kelvin K. Wong:
Peripheral Lung Cancer Detection by Vascular Tumor Labeling Using In-Vivo Microendoscopy under Real Time 3D CT Image Guided Intervention. MIAR 2010: 494-502 - [c26]Yang Li, Yaping Wang, Zhong Xue, Feng Shi, Weili Lin, Dinggang Shen:
The Alzheimer's Disease Neuroimaging Initiative: Consistent 4D Cortical Thickness Measurement for Longitudinal Neuroimaging Study. MICCAI (2) 2010: 133-142 - [c25]Tiancheng He, Zhong Xue, Weixin Xie, Stephen T. C. Wong:
Online 4-D CT Estimation for Patient-Specific Respiratory Motion Based on Real-Time Breathing Signals. MICCAI (3) 2010: 392-399 - [c24]Taoyi Chen, Zhong Xue, Changhong Wang, Zhenshen Qu, Kelvin K. Wong, Stephen T. C. Wong:
Motion Artifact Correction of Multi-Photon Imaging of Awake Mice Models Using Speed Embedded HMM. MICCAI (3) 2010: 473-480 - [c23]Mahshid Farzinfar, Eam Khwang Teoh, Zhong Xue:
An expectation-maximization approach to joint curve evolution for medical image segmentation. Image Processing 2010: 76231M
2000 – 2009
- 2009
- [j12]Jingxin Nie, Zhong Xue, Tianming Liu, Geoffrey S. Young, Kian Setayesh, Lei Guo, Stephen T. C. Wong:
Automated brain tumor segmentation using spatial accuracy-weighted hidden Markov Random Field. Comput. Medical Imaging Graph. 33(6): 431-441 (2009) - [j11]Zhong Xue, Dinggang Shen:
A new statistically-constrained deformable registration framework for MR brain images. Int. J. Medical Eng. Informatics 1(3): 357-367 (2009) - [c22]Hai Li, Zhong Xue, Lei Guo, Stephen T. C. Wong:
Simultaneous Consideration of Spatial Deformation and Tensor Orientation in Diffusion Tensor Image Registration Using Local Fast Marching Patterns. IPMI 2009: 63-75 - [c21]Xiangjun Zhu, Zhong Xue, Xin Gao, Yisheng Zhu, Stephen T. C. Wong:
Voles: Vascularity-Oriented Level Set Algorithm for Pulmonary Vessel Segmentation in Image Guided Intervention Therapy. ISBI 2009: 1247-1250 - [c20]Zhong Xue, Dinggang Shen, Stephen T. C. Wong:
Tissue probability map constrained CLASSIC for increased accuracy and robustness in serial image segmentation. Image Processing 2009: 725904 - 2008
- [j10]Hongxia Luan, Feihu Qi, Zhong Xue, Liya Chen, Dinggang Shen:
Multimodality image registration by maximization of quantitative-qualitative measure of mutual information. Pattern Recognit. 41(1): 285-298 (2008) - [j9]Yonghong Shi, Feihu Qi, Zhong Xue, Liya Chen, Kyoko Ito, Hidenori Matsuo, Dinggang Shen:
Segmenting Lung Fields in Serial Chest Radiographs Using Both Population-Based and Patient-Specific Shape Statistics. IEEE Trans. Medical Imaging 27(4): 481-494 (2008) - [c19]Mahshid Farzinfar, Zhong Xue, Eam Khwang Teoh:
Joint Parametric and Non-parametric Curve Evolution for Medical Image Segmentation. ECCV (1) 2008: 167-178 - [c18]Mahshid Farzinfar, Eam Khwang Teoh, Zhong Xue:
A coupled implicit shape-based deformable model for segmentation of MR images. ICARCV 2008: 651-656 - [c17]Zhong Xue, Kelvin K. Wong, Stephen T. C. Wong:
Joint Registration and Segmentation of Serial Lung CT Images in Microendoscopy Molecular Image-Guided Therapy. MIAR 2008: 12-20 - [c16]Ye Xing, Zhong Xue, Sarah Englander, Mitchell D. Schnall, Dinggang Shen:
Improving Parenchyma Segmentation by Simultaneous Estimation of Tissue Property T1 Map and Group-Wise Registration of Inversion Recovery MR Breast Images. MICCAI (1) 2008: 342-350 - 2007
- [c15]Zhong Xue, Dinggang Shen:
Statistically-Constrained Deformable Registration of Mr Brain Images. ISBI 2007: 25-28 - 2006
- [j8]Zhong Xue, Dinggang Shen, Christos Davatzikos:
Statistical representation of high-dimensional deformation fields with application to statistically constrained 3D warping. Medical Image Anal. 10(5): 740-751 (2006) - [j7]Zhong Xue, Dinggang Shen, Christos Davatzikos:
CLASSIC: Consistent Longitudinal Alignment and Segmentation for Serial Image Computing. NeuroImage 30(2): 388-399 (2006) - [j6]Zhong Xue, Dinggang Shen, Bilge Karaçali, Joshua Stern, David A. Rottenberg, Christos Davatzikos:
Simulating deformations of MR brain images for validation of atlas-based segmentation and registration algorithms. NeuroImage 33(3): 855-866 (2006) - [c14]Zhong Xue, Dinggang Shen, Christos Davatzikos:
Statistically-Constrained High-Dimensional Warping Using Wavelet-Based Priors. CVPR Workshops 2006: 71 - [c13]Yan Li, Zhongming Li, Zhong Xue:
Segmenting MR Images Using Fully-Tuned Radial Basis Functions (RBF). ICARCV 2006: 1-6 - [c12]Yonghong Shi, Feihu Qi, Zhong Xue, Kyoko Ito, Hidenori Matsuo, Dinggang Shen:
Segmenting Lung Fields in Serial Chest Radiographs Using Both Population and Patient-Specific Shape Statistics. MICCAI (1) 2006: 83-91 - 2005
- [c11]Zhong Xue, Dinggang Shen, Christos Davatzikos:
CLASSIC: Consistent Longitudinal Alignment and Segmentation for Serial Image Computing. IPMI 2005: 101-113 - [c10]Zhong Xue, Dinggang Shen, Bilge Karaçali, Christos Davatzikos:
Statistical Representation and Simulation of High-Dimensional Deformations: Application to Synthesizing Brain Deformations. MICCAI (2) 2005: 500-508 - [c9]Dinggang Shen, Hari Sundar, Zhong Xue, Yong Fan, Harold Litt:
Consistent Estimation of Cardiac Motions by 4D Image Registration. MICCAI (2) 2005: 902-910 - 2004
- [j5]Zhiqiang Lao, Dinggang Shen, Zhong Xue, Bilge Karaçali, Susan M. Resnick, Christos Davatzikos:
Morphological classification of brains via high-dimensional shape transformations and machine learning methods. NeuroImage 21(1): 46-57 (2004) - [j4]Zhong Xue, Dinggang Shen, Christos Davatzikos:
Determining correspondence in 3-D MR brain images using attribute vectors as morphological signatures of voxels. IEEE Trans. Medical Imaging 23(10): 1276-1291 (2004) - [c8]Christos Davatzikos, Dinggang Shen, Zhiqiang Lao, Zhong Xue, Bilge Karaçali:
Morphological Classification of Medical Images using Nonlinear Support Vector Machines. ISBI 2004: 587-590 - 2003
- [j3]Zhong Xue, Stan Z. Li, Eam Khwang Teoh:
Bayesian shape model for facial feature extraction and recognition. Pattern Recognit. 36(12): 2819-2833 (2003) - [c7]Zhong Xue, Dinggang Shen, Christos Davatzikos:
Correspondence Detection Using Wavelet-Based Attribute Vectors. MICCAI (2) 2003: 762-770 - 2002
- [j2]Zhong Xue, Stan Z. Li, Eam Khwang Teoh:
AI-EigenSnake: an affine-invariant deformable contour model for object matching. Image Vis. Comput. 20(2): 77-84 (2002) - [c6]Zhong Xue, Stan Z. Li, Dinggang Shen, Eam Khwang Teoh:
A novel Bayesian shape model for facial feature extraction. ICARCV 2002: 514-519 - 2001
- [j1]Zhong Xue, Dinggang Shen, Eam Khwang Teoh:
An efficient fuzzy algorithm for aligning shapes under affine transformations. Pattern Recognit. 34(6): 1171-1180 (2001) - [c5]Zhong Xue, Stan Z. Li, Eam Khwang Teoh:
Facial feature extraction and image warping using PCA based statistic model. ICIP (2) 2001: 689-692 - 2000
- [c4]Zhong Xue, Dinggang Shen, Eam Khwang Teoh:
A Deformable Template Model Based on Fuzzy Alignment Algorithm. ICIP 2000: 296-299 - [c3]Liya Chen, Zhongkang Lu, Eam Khwang Teoh, Zhong Xue:
A Novel Affine Invariant Feature Set and its Application in Motion Estimation. ICIP 2000: 612-615 - [c2]Zhong Xue, Stan Z. Li, Eam Khwang Teoh:
Efficient Object Matching Using Affine-Invariant Deformable Contour. ICPR 2000: 1672-1675 - [c1]Zhong Xue, Eam Khwang Teoh:
A novel eigenvector approach to pose and correspondence estimation. SMC 2000: 1489-1494
Coauthor Index
[j40] [j38] [c106] [c105] [c104] [c103] [c102] [i8] [j34] [j33] [c101] [c100] [c99] [c98] [c97] [c96] [c95] [c94] [c93] [c92] [j31] [c90] [c89] [c88] [c87] [i7] [j30] [j28] [j27] [c86] [c85] [c84] [c83] [c82] [c79] [c78] [i6] [j26] [c74] [c73] [c72] [c70] [c69] [c68] [c67] [i5] [c62] [i2] [c57] [c56] [i1] [j19] [c26] [j11] [c20] [j10] [j9] [c16] [c15] [j8] [j7] [j6] [c14] [c12] [c11] [c10] [c9] [j5] [j4] [c8] [c7] [c6] [j1] [c4]
Stephen T. C. Wong
aka: Stephen T. Wong
aka: Stephen T. Wong
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