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Journal Articles
- 2025
[j49]Youjian Zhang, Li Li, Jie Wang, Xinquan Yang, Haotian Zhou, Jiahui He, Yaoqin Xie, Yuming Jiang, Wei Sun, Xinyuan Zhang, Guanqun Zhou, Zhicheng Zhang:
Texture-preserving diffusion model for CBCT-to-CT synthesis. Medical Image Anal. 99: 103362 (2025)- 2024
- [j48]Lin Liu, Xinxin Fan, Haoyang Liu, Chulong Zhang
, Weibin Kong, Jingjing Dai, Yuming Jiang, Yaoqin Xie, Xiaokun Liang:
QUIZ: An arbitrary volumetric point matching method for medical image registration. Comput. Medical Imaging Graph. 112: 102336 (2024) - [j47]Yalan Li, Yongsheng Teng, Yuqi Huang, Lingfeng Huang, Shilong Yang, Jing Liu, Hao Zou, Yaoqin Xie:
AIR-Net: Acupoint image registration network for automatic acupoint recognition and localization. Displays 83: 102743 (2024) - [j46]Songhui Diao, Xiang Liu, Xuan Liu, Boyun Zheng, Jiahui He, Yaoqin Xie, Wenjian Qin:
Self-supervised multi-magnification feature enhancement for segmentation of hepatocellular carcinoma region in pathological images. Eng. Appl. Artif. Intell. 133: 108335 (2024) - [j45]Wenfeng He, Chulong Zhang, Jingjing Dai, Lin Liu, Tangsheng Wang, Xuan Liu, Yuming Jiang, Na Li, Jing Xiong, Lei Wang, Yaoqin Xie, Xiaokun Liang:
A statistical deformation model-based data augmentation method for volumetric medical image segmentation. Medical Image Anal. 91: 102984 (2024) - [j44]Jingjing Dai, Guoya Dong, Chulong Zhang, Wenfeng He, Lin Liu, Tangsheng Wang, Yuming Jiang, Wei Zhao, Xiang Zhao, Yaoqin Xie, Xiaokun Liang:
Volumetric tumor tracking from a single cone-beam X-ray projection image enabled by deep learning. Medical Image Anal. 91: 102998 (2024) - [j43]Zisheng Li, Ken Chen, Yaoqin Xie:
A Deep Learning Method for Human Sleeping Pose Estimation with Millimeter Wave Radar. Sensors 24(18): 5900 (2024) - 2023
- [j42]Yulin Zhu, Hanqing Zhao, Tangsheng Wang, Lei Deng, Yupeng Yang, Yuming Jiang, Na Li, Yinping Chan, Jingjing Dai, Chulong Zhang, Yunhui Li, Yaoqin Xie, Xiaokun Liang:
Sinogram domain metal artifact correction of CT via deep learning. Comput. Biol. Medicine 155: 106710 (2023) - [j41]Qingpei Lai, Xiang Liu, Fan Yang, Jie Li, Yaoqin Xie, Wenjian Qin:
Constructing metabolism-protein interaction relationship to identify glioma prognosis using deep learning. Comput. Biol. Medicine 158: 106875 (2023) - [j40]Yinping Chan, Xuan Liu, Tangsheng Wang, Jingjing Dai, Yaoqin Xie, Xiaokun Liang:
An attention-based deep convolutional neural network for ultra-sparse-view CT reconstruction. Comput. Biol. Medicine 161: 106888 (2023) - [j39]Tangsheng Wang, Xuan Liu, Jingjing Dai, Chulong Zhang, Wenfeng He, Lin Liu, Yinping Chan, Yutong He, Hanqing Zhao, Yaoqin Xie, Xiaokun Liang:
An unsupervised dual contrastive learning framework for scatter correction in cone-beam CT image. Comput. Biol. Medicine 165: 107377 (2023) - [j38]Xiaokun Liang, Jingjing Dai, Xuanru Zhou, Lin Liu, Chulong Zhang, Yuming Jiang, Na Li, Tianye Niu, Yaoqin Xie, Zhenhui Dai, Xuetao Wang:
An Unsupervised Learning-Based Regional Deformable Model for Automated Multi-Organ Contour Propagation. J. Digit. Imaging 36(3): 923-931 (2023) - [j37]Shaode Yu, Mingxue Jin, Tianhang Wen, Linlin Zhao, Xuechao Zou, Xiaokun Liang, Yaoqin Xie, Wanlong Pan, Chenghao Piao:
Accurate breast cancer diagnosis using a stable feature ranking algorithm. BMC Medical Informatics Decis. Mak. 23(1): 64 (2023) - [j36]Songhui Diao, Weiren Luo, Jiaxin Hou, Ricardo Lambo, Hamas A. AL-kuhali, Hanqing Zhao, Yinli Tian, Yaoqin Xie, Nazar Zaki, Wenjian Qin:
Deep Multi-Magnification Similarity Learning for Histopathological Image Classification. IEEE J. Biomed. Health Informatics 27(3): 1535-1545 (2023) - [j35]Yinli Tian, Wenjian Qin, Fei Xue, Ricardo Lambo, Meiyan Yue, Songhui Diao, Lequan Yu, Yaoqin Xie, Hailin Cao, Shuo Li:
ARR-GCN: Anatomy-Relation Reasoning Graph Convolutional Network for Automatic Fine-Grained Segmentation of Organ's Surgical Anatomy. IEEE J. Biomed. Health Informatics 27(7): 3258-3269 (2023) - [j34]Pengfei Yang, Xin Ge, Tiffany Tsui, Xiaokun Liang, Yaoqin Xie, Zhanli Hu, Tianye Niu:
Four-Dimensional Cone Beam CT Imaging Using a Single Routine Scan via Deep Learning. IEEE Trans. Medical Imaging 42(5): 1495-1508 (2023) - 2022
- [j33]Yinli Tian, Peiwei Sun, Fei Xue, Ricardo Lambo, Meiyan Yue, Chao An, Songhui Diao, Jianping Lv, Yaoqin Xie, Peng Gong, Hailin Cao, Wenjian Qin:
Class center attention network with spatial adaption for enhancing hepatic segments classification with low-visibility vascular. Displays 72: 102151 (2022) - [j32]Min Tan, Huixian Peng, Xiaokun Liang, Yaoqin Xie, Zeyang Xia, Jing Xiong:
LSTformer: Long Short-Term Transformer for Real Time Respiratory Prediction. IEEE J. Biomed. Health Informatics 26(10): 5247-5257 (2022) - 2021
- [j31]Xiaoyun Ouyang, Xiaokun Liang, Yaoqin Xie:
Preliminary Feasibility Study of Imaging Registration Between Supine and Prone Breast CT in Breast Cancer Radiotherapy Using Residual Recursive Cascaded Networks. IEEE Access 9: 3315-3325 (2021) - [j30]Na Li, Shoujun Zhou, Gang Zhao, Zhicheng Zhang, Yaoqin Xie, Xiaokun Liang:
Iterative stripe artifact correction framework for TOF-MRA. Comput. Biol. Medicine 134: 104456 (2021) - [j29]Zhicheng Zhang, Shaode Yu, Wenjian Qin, Xiaokun Liang, Yaoqin Xie, Guohua Cao:
Self-supervised CT super-resolution with hybrid model. Comput. Biol. Medicine 138: 104775 (2021) - [j28]Ken Chen, Wenjian Qin, Yaoqin Xie, Shoujun Zhou:
Towards real time guide wire shape extraction in fluoroscopic sequences: A two phase deep learning scheme to extract sparse curvilinear structures. Comput. Medical Imaging Graph. 94: 101989 (2021) - [j27]Yinli Tian, Fei Xue, Ricardo Lambo, Jiahui He, Chao An, Yaoqin Xie, Hailin Cao, Wenjian Qin:
Fully-automated functional region annotation of liver via a 2.5D class-aware deep neural network with spatial adaptation. Comput. Methods Programs Biomed. 200: 105818 (2021) - [j26]Xiaokun Liang, Na Li, Zhicheng Zhang, Jing Xiong, Shoujun Zhou, Yaoqin Xie:
Incorporating the hybrid deformable model for improving the performance of abdominal CT segmentation via multi-scale feature fusion network. Medical Image Anal. 73: 102156 (2021) - [j25]Yi Xue, Wenjian Qin, Chen Luo, Pengfei Yang, Yangkang Jiang, Tiffany Tsui, Hongjian He, Li Wang, Jiale Qin, Yaoqin Xie, Tianye Niu:
Multi-Material Decomposition for Single Energy CT Using Material Sparsity Constraint. IEEE Trans. Medical Imaging 40(5): 1303-1318 (2021) - 2020
- [j24]Zhicheng Zhang, Xiaokun Liang, Wenjian Qin, Shaode Yu, Yaoqin Xie:
matFR: a MATLAB toolbox for feature ranking. Bioinform. 36(19): 4968-4969 (2020) - 2019
- [j23]Yufa Xia, Yaoqin Xie:
A Novel Wearable Electrocardiogram Classification System Using Convolutional Neural Networks and Active Learning. IEEE Access 7: 7989-8001 (2019) - [j22]Xiaokun Liang, Yangkang Jiang, Yaoqin Xie, Tianye Niu:
Quantitative Cone-Beam CT Imaging in Radiotherapy: Parallel Computation and Comprehensive Evaluation on the TrueBeam System. IEEE Access 7: 66226-66233 (2019) - [j21]Zhenhui Dai, Hua Zhang, Yaoqin Xie, Lin Zhu, Bailin Zhang, Chunya Cai, Fei Li, Geng Yang, Huaizhi Jin, Xuetao Wang:
Validation of Geometric and Dosimetric Accuracy of Edge Accelerator Gating With Electromagnetic Tracking: A Phantom Study. IEEE Access 7: 127693-127702 (2019) - [j20]Lian Zou, Shaode Yu, Tiebao Meng, Zhicheng Zhang, Xiaokun Liang, Yaoqin Xie:
A Technical Review of Convolutional Neural Network-Based Mammographic Breast Cancer Diagnosis. Comput. Math. Methods Medicine 2019: 6509357:1-6509357:16 (2019) - [j19]Ken Chen, Cheng Wang, Yaoqin Xie, Shoujun Zhou:
A GPU-Based Automatic Approach for Guide Wire Tracking in Fluoroscopic Sequences. Int. J. Pattern Recognit. Artif. Intell. 33(8): 1954025:1-1954025:17 (2019) - 2018
- [j18]Zhicheng Zhang, Guangzhe Dai, Xiaokun Liang, Shaode Yu, Leida Li, Yaoqin Xie:
Can Signal-to-Noise Ratio Perform as a Baseline Indicator for Medical Image Quality Assessment. IEEE Access 6: 11534-11543 (2018) - [j17]Ran Wang, Xiaokun Liang, Xuanyu Zhu, Yaoqin Xie:
A Feasibility of Respiration Prediction Based on Deep Bi-LSTM for Real-Time Tumor Tracking. IEEE Access 6: 51262-51268 (2018) - [j16]Shaode Yu, Guangzhe Dai, Zhaoyang Wang, Leida Li, Xinhua Wei, Yaoqin Xie:
A consistency evaluation of signal-to-noise ratio in the quality assessment of human brain magnetic resonance images. BMC Medical Imaging 18(1): 17:1-17:9 (2018) - [j15]Tiexiang Wen, Feng Yang, Jia Gu, Shifu Chen, Lei Wang, Yaoqin Xie:
An adaptive kernel regression method for 3D ultrasound reconstruction using speckle prior and parallel GPU implementation. Neurocomputing 275: 208-223 (2018) - [j14]Shen Zhao, Zhifan Gao, Heye Zhang, Yaoqin Xie, Jianwen Luo, Dhanjoo N. Ghista, Zhanghong Wei, Xiaojun Bi, Huahua Xiong, Chenchu Xu, Shuo Li:
Robust Segmentation of Intima-Media Borders With Different Morphologies and Dynamics During the Cardiac Cycle. IEEE J. Biomed. Health Informatics 22(5): 1571-1582 (2018) - [j13]Zhicheng Zhang, Xiaokun Liang, Xu Dong, Yaoqin Xie, Guohua Cao:
A Sparse-View CT Reconstruction Method Based on Combination of DenseNet and Deconvolution. IEEE Trans. Medical Imaging 37(6): 1407-1417 (2018) - 2017
- [j12]Shaode Yu, Shibin Wu, Ling Zhuang, Xinhua Wei, Mark Sak, Neb Duric, Jiani Hu, Yaoqin Xie:
Efficient Segmentation of a Breast in B-Mode Ultrasound Tomography Using Three-Dimensional GrabCut (GC3D). Sensors 17(8): 1827 (2017) - [j11]Guanglei Zhang, Fei Liu, Jie Liu, Jianwen Luo, Yaoqin Xie, Jing Bai, Lei Xing:
Cone Beam X-ray Luminescence Computed Tomography Based on Bayesian Method. IEEE Trans. Medical Imaging 36(1): 225-235 (2017) - 2014
- [j10]Zhicheng Li, Kai Li, Hai-Lun Zhan, Ken Chen, Ming-Min Chen, Yaoqin Xie, Lei Wang:
Augmenting interventional ultrasound using statistical shape model for guiding percutaneous nephrolithotomy: Initial evaluation in pigs. Neurocomputing 144: 58-69 (2014) - 2013
- [j9]Tiexiang Wen, Qingsong Zhu, Wenjian Qin, Ling X. Li, Fan Yang, Yaoqin Xie, Jia Gu:
An accurate and effective FMM-based approach for freehand 3D ultrasound reconstruction. Biomed. Signal Process. Control. 8(6): 645-656 (2013) - [j8]Shaode Yu, Shibin Wu, Yaoqin Xie:
Automatic Mapping Extraction from Multiecho T2-Star Weighted Magnetic Resonance Images for Improving Morphological Evaluations in Human Brain. Comput. Math. Methods Medicine 2013: 202309:1-202309:7 (2013) - [j7]Wu Zhou, Yaoqin Xie:
Interactive Medical Image Segmentation Using Snake and Multiscale Curve Editing. Comput. Math. Methods Medicine 2013: 325903:1-325903:13 (2013) - [j6]Mou An, Yaoqin Xie:
A Novel CT Imaging System with Adjacent Double X-Ray Sources. Comput. Math. Methods Medicine 2013: 391212:1-391212:6 (2013) - [j5]Shibin Wu, Shaode Yu, Yuhan Yang, Yaoqin Xie:
Feature and Contrast Enhancement of Mammographic Image Based on Multiscale Analysis and Morphology. Comput. Math. Methods Medicine 2013: 716948:1-716948:8 (2013) - [j4]Rui Zhang, Wu Zhou, Yanjie Li, Shaode Yu, Yaoqin Xie:
Nonrigid Registration of Lung CT Images Based on Tissue Features. Comput. Math. Methods Medicine 2013: 834192:1-834192:7 (2013) - [j3]Shoujun Zhou, Wufan Chen, Fucang Jia, Qingmao Hu, Yaoqin Xie, Mingyang Chen, Jianhuang Wu:
Segmentation of brain magnetic resonance angiography images based on MAP-MRF with multi-pattern neighborhood system and approximation of regularization coefficient. Medical Image Anal. 17(8): 1220-1235 (2013) - [j2]Qingsong Zhu, Zhanpeng Zhang, Zhan Song, Yaoqin Xie, Lei Wang:
A Novel Nonlinear Regression Approach for Efficient and Accurate Image Matting. IEEE Signal Process. Lett. 20(11): 1078-1081 (2013) - 2012
- [j1]Qingsong Zhu, Zhan Song, Yaoqin Xie, Lei Wang:
A Novel Recursive Bayesian Learning-Based Method for the Efficient and Accurate Segmentation of Video With Dynamic Background. IEEE Trans. Image Process. 21(9): 3865-3876 (2012)
Conference and Workshop Papers
- 2024
- [c41]Lixue Qin, Zhibo Xiao, Nazar Zaki, Yaoqin Xie, Wenjian Qin:
Improving Single-Source Domain Generalization via Anatomy-Guided Texture Augmentation for Cervical Tumor Segmentation. CMMCA@MICCAI 2024: 70-79 - 2023
- [c40]Lin Liu, Xinxin Fan, Chulong Zhang, Jingjing Dai, Yaoqin Xie, Xiaokun Liang:
Three-Dimensional Medical Image Fusion with Deformable Cross-Attention. ICONIP (10) 2023: 551-563 - [c39]Boyun Zheng, Jiahui He, Jiuhe Zhu, Yaoqin Xie, Nazar Zaki, Wenjian Qin:
Style Enhanced Domain Adaptation Neural Network for Cross-Modality Cervical Tumor Segmentation. CMMCA@MICCAI 2023: 140-149 - [c38]Wen Li, Dan Zhao, Zhi Chen, Zhou Huang, Saikit Lam, Yaoqin Xie, Wenjian Qin, Andy Lai-Yin Cheung, Haonan Xiao, Chenyang Liu, Francis Kar-ho Lee, Kwok-hung Au, Victor Ho-fun Lee, Jing Cai, Tian Li:
Clinical Evaluation of AI-Assisted Virtual Contrast Enhanced MRI in Primary Gross Tumor Volume Delineation for Radiotherapy of Nasopharyngeal Carcinoma. MICCAI (7) 2023: 541-550 - 2022
- [c37]Meiyan Yue, Zhenhui Dai, Jiahui He, Yaoqin Xie, Nazar Zaki, Wenjian Qin:
MRI-guided Automated Delineation of Gross Tumor Volume for Nasopharyngeal Carcinoma using Deep Learning. CBMS 2022: 292-296 - [c36]Xinran Wu, Ming Cui, Yuhua Gao, Deyu Sun, He Ma, Erlei Zhang, Yaoqin Xie, Nazar Zaki, Wenjian Qin:
Tubular Structure-Aware Convolutional Neural Networks for Organ at Risks Segmentation in Cervical Cancer Radiotherapy. CMMCA@MICCAI 2022: 131-140 - [c35]Songhui Diao, Luyu Tang, Jiahui He, Hanqing Zhao, Weiren Luo, Yaoqin Xie, Wenjian Qin:
Automatic Computer-Aided Histopathologic Segmentation for Nasopharyngeal Carcinoma Using Transformer Framework. CMMCA@MICCAI 2022: 141-149 - 2021
- [c34]Huixian Peng, Lei Deng, Zeyang Xia, Yaoqin Xie, Jing Xiong:
Unmarked External Breathing Motion Tracking Based on B-spline Elastic Registration. ICIRA (3) 2021: 71-81 - 2020
- [c33]Wenjian Qin, Zhibo Xiao, Yaoqin Xie, Yixuan Yuan:
Self-Paced Learning for Automatic Prostate Segmentation on MR Images with Hierarchical Boundary Sensitive Network. RCAR 2020: 321-326 - 2019
- [c32]Jie Yang, Zhicheng Zhang, Yanchun Zhu, Yaoqin Xie:
An Accurate Estimation of T2* Mapping for Fast Magnetic Resonance Imaging. ISICDM 2019: 335-342 - 2017
- [c31]Guangzhe Dai, Zhaoyang Wang, Yaoqing Li, Qian Chen, Shaode Yu, Yaoqin Xie:
Evaluation of no-reference models to assess image sharpness. ICIA 2017: 683-687 - [c30]Yaoqing Li, Zhaoyang Wang, Guangzhe Dai, Shibin Wu, Shaode Yu, Yaoqin Xie:
Evaluation of realistic blurring image quality by using a shallow convolutional neural network. ICIA 2017: 853-857 - [c29]Qiyao Wang, Lijuan Zhang, Yaoqin Xie, Hairong Zheng, Wu Zhou:
Malignancy characterization of hepatocellular carcinoma using hybrid texture and deep features. ICIP 2017: 4162-4166 - 2016
- [c28]Shaode Yu, Fan Jiang, Leida Li, Yaoqin Xie:
CNN-GRNN for Image Sharpness Assessment. ACCV Workshops (1) 2016: 50-61 - [c27]Luming Chen, Shibin Wu, Zhicheng Zhang, Shaode Yu, Yaoqin Xie, Hefang Zhang:
Real-Time Patient Table Removal in CT Images. HIS 2016: 1-8 - [c26]Zhihua Ji, Shaode Yu, Shibin Wu, Yaoqin Xie, Fashun Yang:
Improved GrabCut for Human Brain Computerized Tomography Image Segmentation. HIS 2016: 22-30 - [c25]Yun Liu, Bing Luo, Zhicheng Zhang, Yanchun Zhu, Shibin Wu, Yaoqin Xie:
Weighting Wiener and total variation for image denoising. ICIA 2016: 1479-1483 - [c24]Zhicheng Li, Qihua Li, Bo-Lin Song, Yin-Sheng Chen, Qiu-Chang Sun, Yaoqin Xie, Lei Wang:
Clustering of MRI Radiomics Features for Glioblastoma Multiforme: An Initial Study. MIAR 2016: 311-319 - [c23]Zhifan Gao, Yuanyuan Sun, Heye Zhang, Dhanjoo N. Ghista, Yanjie Li, Huahua Xiong, Xin Liu, Yaoqin Xie, Wanqing Wu, Shuo Li:
Carotid Artery Wall Motion Estimated from Ultrasound Imaging Sequences Using a Nonlinear State Space Approach. MICCAI (3) 2016: 98-106 - 2015
- [c22]Zhicheng Li, Kai Li, Ken Chen, Yaoqin Xie:
Accurate kidney surface reconstruction from 3D ultrasonography for volume assessment: First clinical evaluation. EMBC 2015: 2981-2984 - 2014
- [c21]Jianhao Tan, Xiaolong Li, Wentao Zhang, Yaoqin Xie, Yongjin Zhou:
Automatic Estimation of Muscle Thickness in Ultrasound Images Based on Revoting Hough Transform (RVHT). CCPR (2) 2014: 392-401 - [c20]Shaode Yu, Xuyin Cheng, Yaoqin Xie:
Feasibility Study of Signal Similarity Measurements for Improving Morphological Evaluation of Human Brain with Images from Multi-Echo T2-Star Weighted MR Sequences. HIS 2014: 237-247 - [c19]Jizhou Li, Yaoqin Xie, Lei Wang, Yongjin Zhou:
Characterization of the Rectus Femoris Activation Patterns during Isometric Contraction in Transverse Plane: An Ultrasonography Study. ICMB 2014: 114-117 - [c18]Qingsong Zhu, Di Wu, Yaoqin Xie, Lei Wang:
Quick shift segmentation guided single image haze removal algorithm. ROBIO 2014: 113-117 - [c17]Jiaming Mai, Qingsong Zhu, Di Wu, Yaoqin Xie, Lei Wang:
Back propagation neural network dehazing. ROBIO 2014: 1433-1438 - 2013
- [c16]Shibin Wu, Qingsong Zhu, Yaoqin Xie:
Evaluation of various speckle reduction filters on medical ultrasound images. EMBC 2013: 1148-1151 - [c15]Qingsong Zhu, Ling Shao, Qi Li, Yaoqin Xie:
Recursive Kernel Density Estimation for modeling the background and segmenting moving objects. ICASSP 2013: 1769-1772 - [c14]Shibin Wu, Qingsong Zhu, Shaode Yu, Qi Li, Yaoqin Xie:
Multiscale X-ray image contrast enhancement based on limited adaptive histogram equalization. ICIMCS 2013: 231-236 - [c13]Shaode Yu, Rongmao Li, Rui Zhang, Mou An, Shibin Wu, Yaoqin Xie:
Performance evaluation of edge-directed interpolation methods for noise-free images. ICIMCS 2013: 268-272 - [c12]Shibin Wu, Qingsong Zhu, Yuhan Yang, Yaoqin Xie:
Feature and contrast enhancement of mammographic image based on multiscale analysis and morphology. ICIA 2013: 521-526 - [c11]Qingsong Zhu, Ling Shao, Zhan Song, Yaoqin Xie:
SUPERCUT: An accurate and effective interactive image segmentation algorithm. ICIP 2013: 4269-4272 - [c10]Qingsong Zhu, Ricang Ye, Ling Shao, Qi Li, Yaoqin Xie:
A novel thin elongated objects segmentation based on fuzzy connectedness and GMM learning. ICIP 2013: 4273-4276 - [c9]Qingsong Zhu, Ling Shao, Qi Li, Yaoqin Xie:
Perfect Snapping. MMM (2) 2013: 79-87 - 2012
- [c8]Yixiao Zhu, Qingsong Zhu, Lili Wang, Yaoqin Xie:
Hybrid deformable registration method joint using TPS and B-spline in CT image. BHI 2012: 456-459 - [c7]Xiaoying Liu, Jia Gu, Yaoqin Xie, Jun Xiong, Wenjian Qin:
A new approach to detecting ulcer and bleeding in Wireless capsule endoscopy images. BHI 2012: 737-740 - [c6]Zhanpeng Zhang, Qingsong Zhu, Yaoqin Xie:
A Novel Image Matting Approach Based on Naive Bayes Classifier. ICIC (1) 2012: 433-441 - [c5]Zhanpeng Zhang, Qingsong Zhu, Yaoqin Xie:
Learning based alpha matting using support vector regression. ICIP 2012: 2109-2112 - [c4]Zhanpeng Zhang, Qingsong Zhu, Yaoqin Xie:
MRI segmentation of brain tissue based on spatial prior and neighboring pixels affinities. ICPR 2012: 89-92 - [c3]Qingsong Zhu, Zhan Song, Yaoqin Xie:
An efficient r-KDE model for the segmentation of dynamic scenes. ICPR 2012: 198-201 - 2011
- [c2]Qingsong Zhu, Guanzheng Liu, Yaoqin Xie:
Dynamic Video Segmentation via a Novel Recursive Kernel Density Estimation. ICIG 2011: 452-455 - [c1]Yaoqin Xie, Huailing Zhang:
A novel medical image registration based on control volumes. SoCPaR 2011: 507-512
Data and Artifacts
- 2022
- [d1]Min Tan, Huixian Peng, Xiaokun Liang, Yaoqin Xie, Zeyang Xia, Jing Xiong:
AGUMENTED DATASET FOR RESPIRATORY MOVMENT PREDICTION. IEEE DataPort, 2022
Informal and Other Publications
- 2024
- [i10]Shilong Yang, Chulong Zhang, Qi Zang, Juan Yu, Liang Zeng, Xiao Luo, Yexuan Xing, Xin Pan, Qi Li, Xiaokun Liang, Yaoqin Xie:
Mammo-Clustering:A Weakly Supervised Multi-view Global-Local Context Clustering Network for Detection and Classification in Mammography. CoRR abs/2409.14876 (2024) - 2023
- [i9]Xuan Liu, Yaoqin Xie, Songhui Diao, Shan Tan, Xiaokun Liang:
A Diffusion Probabilistic Prior for Low-Dose CT Image Denoising. CoRR abs/2305.15887 (2023) - [i8]Chulong Zhang, Jingjing Dai, Tangsheng Wang, Xuan Liu, Yinping Chan, Lin Liu, Wenfeng He, Yaoqin Xie, Xiaokun Liang:
XTransCT: Ultra-Fast Volumetric CT Reconstruction using Two Orthogonal X-Ray Projections via a Transformer Network. CoRR abs/2305.19621 (2023) - [i7]Xuan Liu, Yaoqin Xie, Songhui Diao, Shan Tan, Xiaokun Liang:
Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual Domains. CoRR abs/2308.16742 (2023) - [i6]Lin Liu, Xinxin Fan, Haoyang Liu, Chulong Zhang, Weibin Kong, Jingjing Dai, Yuming Jiang, Yaoqin Xie, Xiaokun Liang:
QUIZ: An Arbitrary Volumetric Point Matching Method for Medical Image Registration. CoRR abs/2310.00296 (2023) - [i5]Lin Liu, Xinxin Fan, Chulong Zhang, Jingjing Dai, Yaoqin Xie, Xiaokun Liang:
Three-Dimensional Medical Image Fusion with Deformable Cross-Attention. CoRR abs/2310.06291 (2023) - 2022
- [i4]Chulong Zhang, Yuming Jiang, Na Li, Zhicheng Zhang, Md Tauhidul Islam, Jingjing Dai, Lin Liu, Wenfeng He, Wenjian Qin, Jing Xiong, Yaoqin Xie, Xiaokun Liang:
A Hybrid Deep Feature-Based Deformable Image Registration Method for Pathological Images. CoRR abs/2208.07655 (2022) - 2020
- [i3]Shaode Yu, Zhicheng Zhang, Xiaokun Liang, Junjie Wu, Erlei Zhang, Wenjian Qin, Yaoqin Xie:
A Matlab Toolbox for Feature Importance Ranking. CoRR abs/2003.08737 (2020) - [i2]Shaode Yu, Haobo Chen, Hang Yu, Zhicheng Zhang, Xiaokun Liang, Wenjian Qin, Yaoqin Xie, Ping Shi:
Elastic Net based Feature Ranking and Selection. CoRR abs/2012.14982 (2020) - 2013
- [i1]Shaode Yu, Qingsong Zhu, Shibin Wu, Yaoqin Xie:
Performance Evaluation of Edge-Directed Interpolation Methods for Images. CoRR abs/1303.6455 (2013)
Coauthor Index
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