Dynamic Video Segmentation via a Novel Recursive Kernel Density Estimation. - Qingsong Zhu; Guanzheng Liu; Yaoqin Xie (ICIG, 2011)

A novel medical image registration based on control volumes. - Yaoqin Xie; Huailing Zhang (SoCPaR, 2011)

A new approach to detecting ulcer and bleeding in Wireless capsule endoscopy images. - Xiaoying Liu; Jia Gu; Yaoqin Xie; Jun Xiong; Wenjian Qin (BHI, 2012)

Hybrid deformable registration method joint using TPS and B-spline in CT image. - Yixiao Zhu; Qingsong Zhu; Lili Wang; Yaoqin Xie (BHI, 2012)

A Novel Image Matting Approach Based on Naive Bayes Classifier. - Zhanpeng Zhang; Qingsong Zhu; Yaoqin Xie (ICIC (1), 2012)

Learning based alpha matting using support vector regression. - Zhanpeng Zhang; Qingsong Zhu; Yaoqin Xie (ICIP, 2012)

MRI segmentation of brain tissue based on spatial prior and neighboring pixels affinities. - Zhanpeng Zhang; Qingsong Zhu; Yaoqin Xie (ICPR, 2012)

An efficient r-KDE model for the segmentation of dynamic scenes. - Qingsong Zhu; Zhan Song; Yaoqin Xie (ICPR, 2012)

A Novel Recursive Bayesian Learning-Based Method for the Efficient and Accurate Segmentation of Video With Dynamic Background. - Qingsong Zhu; Zhan Song; Yaoqin Xie; Lei Wang 029 (IEEE Trans. Image Process., 2012)

Evaluation of various speckle reduction filters on medical ultrasound images. - Shibin Wu; Qingsong Zhu; Yaoqin Xie (EMBC, 2013)

Recursive Kernel Density Estimation for modeling the background and segmenting moving objects. - Qingsong Zhu; Ling Shao 001; Qi Li; Yaoqin Xie (ICASSP, 2013)

Multiscale X-ray image contrast enhancement based on limited adaptive histogram equalization. - Shibin Wu; Qingsong Zhu; Shaode Yu; Qi Li; Yaoqin Xie (ICIMCS, 2013)

Performance evaluation of edge-directed interpolation methods for noise-free images. - Shaode Yu; Rongmao Li; Rui Zhang 019; Mou An; Shibin Wu; Yaoqin Xie (ICIMCS, 2013)

Feature and contrast enhancement of mammographic image based on multiscale analysis and morphology. - Shibin Wu; Qingsong Zhu; Yuhan Yang; Yaoqin Xie (ICIA, 2013)

SUPERCUT: An accurate and effective interactive image segmentation algorithm. - Qingsong Zhu; Ling Shao 001; Zhan Song; Yaoqin Xie (ICIP, 2013)

A novel thin elongated objects segmentation based on fuzzy connectedness and GMM learning. - Qingsong Zhu; Ricang Ye; Ling Shao 001; Qi Li; Yaoqin Xie (ICIP, 2013)

Perfect Snapping. - Qingsong Zhu; Ling Shao 001; Qi Li; Yaoqin Xie (MMM (2), 2013)

An accurate and effective FMM-based approach for freehand 3D ultrasound reconstruction. - Tiexiang Wen; Qingsong Zhu; Wenjian Qin; Ling X. Li; Fan Yang 049; Yaoqin Xie; Jia Gu (Biomed. Signal Process. Control., 2013)

A Novel CT Imaging System with Adjacent Double X-Ray Sources. - Mou An; Yaoqin Xie (Comput. Math. Methods Medicine, 2013)

Feature and Contrast Enhancement of Mammographic Image Based on Multiscale Analysis and Morphology. - Shibin Wu; Shaode Yu; Yuhan Yang; Yaoqin Xie (Comput. Math. Methods Medicine, 2013)

Automatic Mapping Extraction from Multiecho T2-Star Weighted Magnetic Resonance Images for Improving Morphological Evaluations in Human Brain. - Shaode Yu; Shibin Wu; Yaoqin Xie (Comput. Math. Methods Medicine, 2013)

Nonrigid Registration of Lung CT Images Based on Tissue Features. - Rui Zhang 019; Wu Zhou 002; Yanjie Li; Shaode Yu; Yaoqin Xie (Comput. Math. Methods Medicine, 2013)

Interactive Medical Image Segmentation Using Snake and Multiscale Curve Editing. - Wu Zhou 002; Yaoqin Xie (Comput. Math. Methods Medicine, 2013)

Performance Evaluation of Edge-Directed Interpolation Methods for Images - Shaode Yu; Qingsong Zhu; Shibin Wu; Yaoqin Xie (CoRR, 2013)

Segmentation of brain magnetic resonance angiography images based on MAP-MRF with multi-pattern neighborhood system and approximation of regularization coefficient. - Shoujun Zhou; Wufan Chen; Fucang Jia; Qingmao Hu; Yaoqin Xie; Mingyang Chen; Jianhuang Wu (Medical Image Anal., 2013)

A Novel Nonlinear Regression Approach for Efficient and Accurate Image Matting. - Qingsong Zhu; Zhanpeng Zhang; Zhan Song; Yaoqin Xie; Lei Wang 029 (IEEE Signal Process. Lett., 2013)

Automatic Estimation of Muscle Thickness in Ultrasound Images Based on Revoting Hough Transform (RVHT). - Jianhao Tan; Xiaolong Li; Wentao Zhang; Yaoqin Xie; Yongjin Zhou (CCPR (2), 2014)

Feasibility Study of Signal Similarity Measurements for Improving Morphological Evaluation of Human Brain with Images from Multi-Echo T2-Star Weighted MR Sequences. - Shaode Yu; Xuyin Cheng; Yaoqin Xie (HIS, 2014)

Characterization of the Rectus Femoris Activation Patterns during Isometric Contraction in Transverse Plane: An Ultrasonography Study. - Jizhou Li; Yaoqin Xie; Lei Wang 029; Yongjin Zhou (ICMB, 2014)

Back propagation neural network dehazing. - Jiaming Mai; Qingsong Zhu; Di Wu; Yaoqin Xie; Lei Wang 029 (ROBIO, 2014)

Quick shift segmentation guided single image haze removal algorithm. - Qingsong Zhu; Di Wu; Yaoqin Xie; Lei Wang 029 (ROBIO, 2014)

Augmenting interventional ultrasound using statistical shape model for guiding percutaneous nephrolithotomy: Initial evaluation in pigs. - Zhicheng Li 001; Kai Li; Hai-Lun Zhan; Ken Chen 005; Ming-Min Chen; Yaoqin Xie; Lei Wang 029 (Neurocomputing, 2014)

Accurate kidney surface reconstruction from 3D ultrasonography for volume assessment: First clinical evaluation. - Zhicheng Li 001; Kai Li; Ken Chen 005; Yaoqin Xie (EMBC, 2015)

CNN-GRNN for Image Sharpness Assessment. - Shaode Yu; Fan Jiang; Leida Li; Yaoqin Xie (ACCV Workshops (1), 2016)

Real-Time Patient Table Removal in CT Images. - Luming Chen; Shibin Wu; Zhicheng Zhang; Shaode Yu; Yaoqin Xie; Hefang Zhang (HIS, 2016)

Improved GrabCut for Human Brain Computerized Tomography Image Segmentation. - Zhihua Ji; Shaode Yu; Shibin Wu; Yaoqin Xie; Fashun Yang (HIS, 2016)

Weighting Wiener and total variation for image denoising. - Yun Liu; Bing Luo; Zhicheng Zhang; Yanchun Zhu; Shibin Wu; Yaoqin Xie (ICIA, 2016)

Clustering of MRI Radiomics Features for Glioblastoma Multiforme: An Initial Study. - Zhicheng Li 001; Qihua Li; Bo-Lin Song; Yin-Sheng Chen; Qiu-Chang Sun; Yaoqin Xie; Lei Wang 029 (MIAR, 2016)

Carotid Artery Wall Motion Estimated from Ultrasound Imaging Sequences Using a Nonlinear State Space Approach. - Zhifan Gao; Yuanyuan Sun; Heye Zhang; Dhanjoo N. Ghista; Yanjie Li; Huahua Xiong; Xin Liu 023; Yaoqin Xie; Wanqing Wu; Shuo Li 001 (MICCAI (3), 2016)

Evaluation of no-reference models to assess image sharpness. - Guangzhe Dai; Zhaoyang Wang 003; Yaoqing Li; Qian Chen; Shaode Yu; Yaoqin Xie (ICIA, 2017)

Evaluation of realistic blurring image quality by using a shallow convolutional neural network. - Yaoqing Li; Zhaoyang Wang 003; Guangzhe Dai; Shibin Wu; Shaode Yu; Yaoqin Xie (ICIA, 2017)

Malignancy characterization of hepatocellular carcinoma using hybrid texture and deep features. - Qiyao Wang; Lijuan Zhang; Yaoqin Xie; Hairong Zheng; Wu Zhou 002 (ICIP, 2017)

Efficient Segmentation of a Breast in B-Mode Ultrasound Tomography Using Three-Dimensional GrabCut (GC3D). - Shaode Yu; Shibin Wu; Ling Zhuang; Xinhua Wei; Mark Sak; Neb Duric; Jiani Hu; Yaoqin Xie (Sensors, 2017)

Cone Beam X-ray Luminescence Computed Tomography Based on Bayesian Method. - Guanglei Zhang; Fei Liu 005; Jie Liu; Jianwen Luo 001; Yaoqin Xie; Jing Bai 001; Lei Xing 001 (IEEE Trans. Medical Imaging, 2017)

A Feasibility of Respiration Prediction Based on Deep Bi-LSTM for Real-Time Tumor Tracking. - Ran Wang; Xiaokun Liang; Xuanyu Zhu; Yaoqin Xie (IEEE Access, 2018)

Can Signal-to-Noise Ratio Perform as a Baseline Indicator for Medical Image Quality Assessment. - Zhicheng Zhang; Guangzhe Dai; Xiaokun Liang; Shaode Yu; Leida Li; Yaoqin Xie (IEEE Access, 2018)

A consistency evaluation of signal-to-noise ratio in the quality assessment of human brain magnetic resonance images. - Shaode Yu; Guangzhe Dai; Zhaoyang Wang 003; Leida Li; Xinhua Wei; Yaoqin Xie (BMC Medical Imaging, 2018)

An adaptive kernel regression method for 3D ultrasound reconstruction using speckle prior and parallel GPU implementation. - Tiexiang Wen; Feng Yang; Jia Gu; Shifu Chen; Lei Wang 029; Yaoqin Xie (Neurocomputing, 2018)

Robust Segmentation of Intima-Media Borders With Different Morphologies and Dynamics During the Cardiac Cycle. - Shen Zhao; Zhifan Gao; Heye Zhang; Yaoqin Xie; Jianwen Luo 001; Dhanjoo N. Ghista; Zhanghong Wei; Xiaojun Bi 004; Huahua Xiong; Chenchu Xu; Shuo Li 001 (IEEE J. Biomed. Health Informatics, 2018)

A Sparse-View CT Reconstruction Method Based on Combination of DenseNet and Deconvolution. - Zhicheng Zhang; Xiaokun Liang; Xu Dong 001; Yaoqin Xie; Guohua Cao (IEEE Trans. Medical Imaging, 2018)

An Accurate Estimation of T2* Mapping for Fast Magnetic Resonance Imaging. - Jie Yang; Zhicheng Zhang; Yanchun Zhu; Yaoqin Xie (ISICDM, 2019)

Validation of Geometric and Dosimetric Accuracy of Edge Accelerator Gating With Electromagnetic Tracking: A Phantom Study. - Zhenhui Dai; Hua Zhang; Yaoqin Xie; Lin Zhu; Bailin Zhang; Chunya Cai; Fei Li; Geng Yang; Huaizhi Jin; Xuetao Wang (IEEE Access, 2019)

Quantitative Cone-Beam CT Imaging in Radiotherapy: Parallel Computation and Comprehensive Evaluation on the TrueBeam System. - Xiaokun Liang; Yangkang Jiang; Yaoqin Xie; Tianye Niu (IEEE Access, 2019)

A Novel Wearable Electrocardiogram Classification System Using Convolutional Neural Networks and Active Learning. - Yufa Xia; Yaoqin Xie (IEEE Access, 2019)

A Technical Review of Convolutional Neural Network-Based Mammographic Breast Cancer Diagnosis. - Lian Zou; Shaode Yu; Tiebao Meng; Zhicheng Zhang; Xiaokun Liang; Yaoqin Xie (Comput. Math. Methods Medicine, 2019)

A GPU-Based Automatic Approach for Guide Wire Tracking in Fluoroscopic Sequences. - Ken Chen 007; Cheng Wang; Yaoqin Xie; Shoujun Zhou (Int. J. Pattern Recognit. Artif. Intell., 2019)

Self-Paced Learning for Automatic Prostate Segmentation on MR Images with Hierarchical Boundary Sensitive Network. - Wenjian Qin; Zhibo Xiao; Yaoqin Xie; Yixuan Yuan (RCAR, 2020)

matFR: a MATLAB toolbox for feature ranking. - Zhicheng Zhang; Xiaokun Liang; Wenjian Qin; Shaode Yu; Yaoqin Xie (Bioinform., 2020)

A Matlab Toolbox for Feature Importance Ranking. - Shaode Yu; Zhicheng Zhang; Xiaokun Liang; Junjie Wu; Erlei Zhang; Wenjian Qin; Yaoqin Xie (CoRR, 2020)

Elastic Net based Feature Ranking and Selection. - Shaode Yu; Haobo Chen; Hang Yu; Zhicheng Zhang; Xiaokun Liang; Wenjian Qin; Yaoqin Xie; Ping Shi (CoRR, 2020)

Unmarked External Breathing Motion Tracking Based on B-spline Elastic Registration. - Huixian Peng; Lei Deng; Zeyang Xia; Yaoqin Xie; Jing Xiong (ICIRA (3), 2021)

Preliminary Feasibility Study of Imaging Registration Between Supine and Prone Breast CT in Breast Cancer Radiotherapy Using Residual Recursive Cascaded Networks. - Xiaoyun Ouyang; Xiaokun Liang; Yaoqin Xie (IEEE Access, 2021)

Iterative stripe artifact correction framework for TOF-MRA. - Na Li; Shoujun Zhou; Gang Zhao; Zhicheng Zhang; Yaoqin Xie; Xiaokun Liang (Comput. Biol. Medicine, 2021)

Self-supervised CT super-resolution with hybrid model. - Zhicheng Zhang; Shaode Yu; Wenjian Qin; Xiaokun Liang; Yaoqin Xie; Guohua Cao (Comput. Biol. Medicine, 2021)

Towards real time guide wire shape extraction in fluoroscopic sequences: A two phase deep learning scheme to extract sparse curvilinear structures. - Ken Chen 007; Wenjian Qin; Yaoqin Xie; Shoujun Zhou (Comput. Medical Imaging Graph., 2021)

Fully-automated functional region annotation of liver via a 2.5D class-aware deep neural network with spatial adaptation. - Yinli Tian; Fei Xue; Ricardo Lambo; Jiahui He; Chao An; Yaoqin Xie; Hailin Cao; Wenjian Qin (Comput. Methods Programs Biomed., 2021)

Incorporating the hybrid deformable model for improving the performance of abdominal CT segmentation via multi-scale feature fusion network. - Xiaokun Liang; Na Li; Zhicheng Zhang; Jing Xiong; Shoujun Zhou; Yaoqin Xie (Medical Image Anal., 2021)

Multi-Material Decomposition for Single Energy CT Using Material Sparsity Constraint. - Yi Xue; Wenjian Qin; Chen Luo; Pengfei Yang; Yangkang Jiang; Tiffany Tsui; Hongjian He; Li Wang 033; Jiale Qin; Yaoqin Xie; Tianye Niu (IEEE Trans. Medical Imaging, 2021)

MRI-guided Automated Delineation of Gross Tumor Volume for Nasopharyngeal Carcinoma using Deep Learning. - Meiyan Yue; Zhenhui Dai; Jiahui He; Yaoqin Xie; Nazar Zaki; Wenjian Qin (CBMS, 2022)

Automatic Computer-Aided Histopathologic Segmentation for Nasopharyngeal Carcinoma Using Transformer Framework. - Songhui Diao; Luyu Tang; Jiahui He; Hanqing Zhao; Weiren Luo; Yaoqin Xie; Wenjian Qin (CMMCA@MICCAI, 2022)

Tubular Structure-Aware Convolutional Neural Networks for Organ at Risks Segmentation in Cervical Cancer Radiotherapy. - Xinran Wu; Ming Cui; Yuhua Gao; Deyu Sun; He Ma; Erlei Zhang; Yaoqin Xie; Nazar Zaki; Wenjian Qin (CMMCA@MICCAI, 2022)

A Hybrid Deep Feature-Based Deformable Image Registration Method for Pathological Images. - Chulong Zhang; Yuming Jiang 005; Na Li; Zhicheng Zhang; Md Tauhidul Islam; Jingjing Dai; Lin Liu; Wenfeng He; Wenjian Qin; Jing Xiong; Yaoqin Xie; Xiaokun Liang (CoRR, 2022)

Class center attention network with spatial adaption for enhancing hepatic segments classification with low-visibility vascular. - Yinli Tian; Peiwei Sun; Fei Xue; Ricardo Lambo; Meiyan Yue; Chao An; Songhui Diao; Jianping Lv; Yaoqin Xie; Peng Gong; Hailin Cao; Wenjian Qin (Displays, 2022)

LSTformer: Long Short-Term Transformer for Real Time Respiratory Prediction. - Min Tan; Huixian Peng; Xiaokun Liang; Yaoqin Xie; Zeyang Xia; Jing Xiong (IEEE J. Biomed. Health Informatics, 2022)

AGUMENTED DATASET FOR RESPIRATORY MOVMENT PREDICTION. - Min Tan; Huixian Peng; Xiaokun Liang; Yaoqin Xie; Zeyang Xia; Jing Xiong (IEEE DataPort, 2022)

Three-Dimensional Medical Image Fusion with Deformable Cross-Attention. - Lin Liu; Xinxin Fan; Chulong Zhang; Jingjing Dai; Yaoqin Xie; Xiaokun Liang (ICONIP (10), 2023)

Clinical Evaluation of AI-Assisted Virtual Contrast Enhanced MRI in Primary Gross Tumor Volume Delineation for Radiotherapy of Nasopharyngeal Carcinoma. - Wen Li 010; 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; et al. (MICCAI (7), 2023)

Style Enhanced Domain Adaptation Neural Network for Cross-Modality Cervical Tumor Segmentation. - Boyun Zheng; Jiahui He; Jiuhe Zhu; Yaoqin Xie; Nazar Zaki; Wenjian Qin (CMMCA@MICCAI, 2023)

A Diffusion Probabilistic Prior for Low-Dose CT Image Denoising. - Xuan Liu; Yaoqin Xie; Songhui Diao; Shan Tan; Xiaokun Liang (CoRR, 2023)

XTransCT: Ultra-Fast Volumetric CT Reconstruction using Two Orthogonal X-Ray Projections via a Transformer Network. - Chulong Zhang; Jingjing Dai; Tangsheng Wang; Xuan Liu; Yinping Chan; Lin Liu; Wenfeng He; Yaoqin Xie; Xiaokun Liang (CoRR, 2023)

Sinogram domain metal artifact correction of CT via deep learning. - Yulin Zhu; Hanqing Zhao; Tangsheng Wang; Lei Deng; Yupeng Yang; Yuming Jiang 005; Na Li; Yinping Chan; Jingjing Dai; Chulong Zhang; Yunhui Li; Yaoqin Xie; et al. (Comput. Biol. Medicine, 2023)

Deep Multi-Magnification Similarity Learning for Histopathological Image Classification. - Songhui Diao; Weiren Luo; Jiaxin Hou; Ricardo Lambo; Hamas A. AL-kuhali; Hanqing Zhao; Yinli Tian; Yaoqin Xie; Nazar Zaki; Wenjian Qin (IEEE J. Biomed. Health Informatics, 2023)

Constructing metabolism-protein interaction relationship to identify glioma prognosis using deep learning. - Qingpei Lai; Xiang Liu; Fan Yang 049; Jie Li 083; Yaoqin Xie; Wenjian Qin (Comput. Biol. Medicine, 2023)

Four-Dimensional Cone Beam CT Imaging Using a Single Routine Scan via Deep Learning. - Pengfei Yang; Xin Ge; Tiffany Tsui; Xiaokun Liang; Yaoqin Xie; Zhanli Hu; Tianye Niu (IEEE Trans. Medical Imaging, 2023)

An Unsupervised Learning-Based Regional Deformable Model for Automated Multi-Organ Contour Propagation. - Xiaokun Liang; Jingjing Dai; Xuanru Zhou; Lin Liu; Chulong Zhang; Yuming Jiang 005; Na Li; Tianye Niu; Yaoqin Xie; Zhenhui Dai; Xuetao Wang (J. Digit. Imaging, 2023)

An attention-based deep convolutional neural network for ultra-sparse-view CT reconstruction. - Yinping Chan; Xuan Liu; Tangsheng Wang; Jingjing Dai; Yaoqin Xie; Xiaokun Liang (Comput. Biol. Medicine, 2023)

ARR-GCN: Anatomy-Relation Reasoning Graph Convolutional Network for Automatic Fine-Grained Segmentation of Organ's Surgical Anatomy. - Yinli Tian; Wenjian Qin; Fei Xue; Ricardo Lambo; Meiyan Yue; Songhui Diao; Lequan Yu; Yaoqin Xie; Hailin Cao; Shuo Li 001 (IEEE J. Biomed. Health Informatics, 2023)

An unsupervised dual contrastive learning framework for scatter correction in cone-beam CT image. - Tangsheng Wang; Xuan Liu; Jingjing Dai; Chulong Zhang; Wenfeng He; Lin Liu; Yinping Chan; Yutong He; Hanqing Zhao; Yaoqin Xie; Xiaokun Liang (Comput. Biol. Medicine, 2023)

Accurate breast cancer diagnosis using a stable feature ranking algorithm. - Shaode Yu; Mingxue Jin; Tianhang Wen; Linlin Zhao; Xuechao Zou; Xiaokun Liang; Yaoqin Xie; Wanlong Pan; Chenghao Piao (BMC Medical Informatics Decis. Mak., 2023)

Improving Single-Source Domain Generalization via Anatomy-Guided Texture Augmentation for Cervical Tumor Segmentation. - Lixue Qin; Zhibo Xiao; Nazar Zaki; Yaoqin Xie; Wenjian Qin (CMMCA@MICCAI, 2024)

QUIZ: An arbitrary volumetric point matching method for medical image registration. - Lin Liu; Xinxin Fan; Haoyang Liu; Chulong Zhang; Weibin Kong; Jingjing Dai; Yuming Jiang 005; Yaoqin Xie; Xiaokun Liang (Comput. Medical Imaging Graph., 2024)

Mammo-Clustering:A Weakly Supervised Multi-view Global-Local Context Clustering Network for Detection and Classification in Mammography. - Shilong Yang; Chulong Zhang; Qi Zang; Juan Yu; Liang Zeng; Xiao Luo; Yexuan Xing; Xin Pan; Qi Li; Xiaokun Liang; Yaoqin Xie (CoRR, 2024)

AIR-Net: Acupoint image registration network for automatic acupoint recognition and localization. - Yalan Li; Yongsheng Teng; Yuqi Huang; Lingfeng Huang; Shilong Yang; Jing Liu; Hao Zou; Yaoqin Xie (Displays, 2024)

Self-supervised multi-magnification feature enhancement for segmentation of hepatocellular carcinoma region in pathological images. - Songhui Diao; Xiang Liu; Xuan Liu; Boyun Zheng; Jiahui He; Yaoqin Xie; Wenjian Qin (Eng. Appl. Artif. Intell., 2024)

Volumetric tumor tracking from a single cone-beam X-ray projection image enabled by deep learning. - Jingjing Dai; Guoya Dong; Chulong Zhang; Wenfeng He; Lin Liu; Tangsheng Wang; Yuming Jiang 005; Wei Zhao 029; Xiang Zhao; Yaoqin Xie; Xiaokun Liang (Medical Image Anal., 2024)

A statistical deformation model-based data augmentation method for volumetric medical image segmentation. - Wenfeng He; Chulong Zhang; Jingjing Dai; Lin Liu; Tangsheng Wang; Xuan Liu; Yuming Jiang 005; Na Li; Jing Xiong; Lei Wang 029; Yaoqin Xie; Xiaokun Liang (Medical Image Anal., 2024)

A Deep Learning Method for Human Sleeping Pose Estimation with Millimeter Wave Radar. - Zisheng Li; Ken Chen 007; Yaoqin Xie (Sensors, 2024)

Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual Domains. - Xuan Liu; Yaoqin Xie; Songhui Diao; Shan Tan; Xiaokun Liang (IEEE Trans. Medical Imaging, 2024)

Unsupervised deformable registration model based on multi-scale pyramid and accurate similarity measurement. - Ping Jiang; Wenjian Qin; Sijia Wu; Yaoqin Xie (Biomed. Signal Process. Control., 2025)

Interstitial-guided automatic clinical tumor volume segmentation network for cervical cancer brachytherapy. - Shudong Tan; Jiahui He; Ming Cui; Yuhua Gao; Deyu Sun; Yaoqin Xie; Jing Cai 001; Nazar Zaki; Wenjian Qin (Comput. Medical Imaging Graph., 2025)

Deformable medical image registration based on multi-level transformation progressive and image enhancement. - Ping Jiang; Sijia Wu; Wenjian Qin; Yaoqin Xie (J. Comput. Des. Eng., 2025)

Texture-preserving diffusion model for CBCT-to-CT synthesis. - Youjian Zhang; Li Li; Jie Wang; Xinquan Yang; Haotian Zhou; Jiahui He; Yaoqin Xie; Yuming Jiang 006; Wei Sun; Xinyuan Zhang; Guanqun Zhou; Zhicheng Zhang (Medical Image Anal., 2025)

SynMSE: A multimodal similarity evaluator for complex distribution discrepancy in unsupervised deformable multimodal medical image registration. - Jingke Zhu; Boyun Zheng; Bing Xiong 004; Yuxin Zhang; Ming Cui; Deyu Sun; Jing Cai 001; Yaoqin Xie; Wenjian Qin (Medical Image Anal., 2025)

RT-DEMT: A hybrid real-time acupoint detection model combining mamba and transformer. - Shilong Yang; Qi Zang; Chulong Zhang; Lingfeng Huang; Yaoqin Xie (CoRR, 2025)

Exploring an Innovative Deep Learning Solution for Acupuncture Point Localization on the Weak Feature Body Surface of the Human Back. - Shilong Yang; Yalan Li; Hao Zou; Lingfeng Huang; Jing Liu; Yongsheng Teng; Yaoqin Xie (IEEE J. Biomed. Health Informatics, 2025)