Yaoqin Xie

发表

Using edge-preserving algorithm with non-local mean for significantly improved image-domain material decomposition in dual-energy CT

L. Xing, T. Niu, Wei Zhao, 2016, Physics in medicine and biology.

Back propagation neural network dehazing

Di Wu, Lei Wang, Qingsong Zhu, 2014, 2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014).

Scatter correction for cone-beam CT in radiation therapy.

Lei Zhu, L. Xing, Jing Wang, 2009 .

A Patient Set-up Protocol Based on Partially Blocked Cone-beam CT

Lei Zhu, L. Xing, Jing Wang, 2010, Technology in cancer research & treatment.

Contour-Based Image Registration using Bipartite Graph Matching with Munkres Algorithm

Yaoqin Xie, Qingsong Zhu, Jia Gu, 2014 .

Altered Global Synchronizations in Patients With Parkinson’s Disease: A Resting-State fMRI Study

Yaoqin Xie, Xiuhang Ruan, Xinhua Wei, 2019, Front. Aging Neurosci..

A shape-optimized framework for kidney segmentation in ultrasound images using NLTV denoising and DRLSE

Yaoqin Xie, Jia Gu, Tiexiang Wen, 2012, BioMedical Engineering OnLine.

Feature-based rectal contour propagation from planning CT to cone beam CT.

L. Xing, Yaoqin Xie, M. Chao, 2008, Medical physics.

Tissue feature-based and segmented deformable image registration for improved modeling of shear movement of lungs.

L. Xing, Yaoqin Xie, M. Chao, 2009, International journal of radiation oncology, biology, physics.

Tracking the motion trajectories of junction structures in 4D CT images of the lung

L. Xing, Yaoqin Xie, G. Xiong, 2012, Physics in medicine and biology.

GPU-accelerated Kernel Regression Reconstruction for Freehand 3D Ultrasound Imaging

Qingsong Zhu, Yaoqin Xie, Tiexiang Wen, 2017, Ultrasonic imaging.

Segmentation of Brain Magnetic Resonance Angiography Images Based on MAP-MRF with Multi-pattern Neighborhood System

Q. Hu, Yaoqin Xie, Wufan Chen, 2013 .

Nonlinear profile order for three-dimensional hybrid radial acquisition applied to self-gated free-breathing cardiac cine MRI

Yaoqin Xie, Yi Wang, M. Prince, 2017 .

Coupled Temporal Fluctuation and Global Signal Synchronization of Spontaneous Brain Activity in Hypnosis for Respiration Control: An fMRI Study

Yaoqin Xie, Yanjun Liu, Shaode Yu, 2020, Neuroscience.

Recursive Kernel Density Learning for Modeling the Background and Segmenting Moving Objects

Lei Wang, Ling Shao, Qingsong Zhu, 2012 .

Scatter correction for a clinical cone-beam CT system using an optimized stationary beam blocker in a single scan.

T. Niu, Wei Zhao, Yaoqin Xie, 2019, Medical physics.

A novel thin elongated objects segmentation based on fuzzy connectedness and GMM learning

Ling Shao, Yaoqin Xie, Qingsong Zhu, 2013, 2013 IEEE International Conference on Image Processing.

A Recursive Kernel Density Learning Framework for Robust Foreground Object Segmentation

Qingsong Zhu, Yaoqin Xie, Zhanpeng Zhang, 2012 .

Using Compressed Sensing Regularization for Deformable Registration of the Shear Movement of the Lungs

Yaoqin Xie, Yaoqin Xie, 2010 .

Accuracy and effectiveness of self-gating signals in free-breathing three-dimensional cardiac cine magnetic resonance imaging*

Yaoqin Xie, Yi Wang, Z. Yanchun, 2016 .

Perfect Snapping

Ling Shao, Qingsong Zhu, Yaoqin Xie, 2013, MMM.

Feasibility of similarity coefficient map in improving quality of magnetic resonance images of spleen

Yaoqin Xie, Jiani Hu, S. Bao, 2013, 2013 IEEE International Conference on Medical Imaging Physics and Engineering.

Control of Respiratory Motion by Hypnosis Intervention during Radiotherapy of Lung Cancer I

Yaoqin Xie, Rongmao Li, Jie Deng, 2013, BioMed research international.

Rotator cuff tendon assessment using magic‐angle insensitive 3D ultrashort echo time cones magnetization transfer (UTE‐Cones‐MT) imaging and modeling with histological correlation

Yajun Ma, E. Chang, Jiang Du, 2018, Journal of magnetic resonance imaging : JMRI.

Signal correlation measure in multi-echo T2∗-w MR images

Yaoqin Xie, Shibin Wu, Shaode Yu, 2016, 2016 12th World Congress on Intelligent Control and Automation (WCICA).

Investigation on the Neural Mechanism of Hypnosis-Based Respiratory Control Using Functional MRI

Yaoqin Xie, Yanjun Liu, Shaode Yu, 2018, Contrast media & molecular imaging.

DVH Prediction for VMAT in NPC with GRU-RNN: An Improved Method by Considering Biological Effects

Yaoqin Xie, Yuenan Wang, Li-Xin Chen, 2021, BioMed research international.

The accuracy and effectiveness of self-gating signals in free-breathing 3D cardiac cine MRI

Yaoqin Xie, S. Li, Song Gao, 2016, Journal of Cardiovascular Magnetic Resonance.

Nonlinear profile order for 3D hybrid radial acquisition applied to self-gated free-breathing cardiac cine MRI

Yaoqin Xie, S. Li, Shaode Yu, 2016, Journal of Cardiovascular Magnetic Resonance.

MRI-guided Automated Delineation of Gross Tumor Volume for Nasopharyngeal Carcinoma using Deep Learning

Yaoqin Xie, N. Zaki, Wenjian Qin, 2022, 2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS).

Monte Carlo simulation of physical dose enhancement in core-shell magnetic gold nanoparticles with TOPAS

Yaoqin Xie, Z. Dai, Jianan Wu, 2022, Frontiers in Oncology.

Design and Preliminary Experience of a Tele-Radiotherapy System for a Medical Alliance in China.

L. Xing, Yaoqin Xie, Chuan Xu, 2020, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

Transferring deep neural networks for the differentiation of mammographic breast lesions

Yaoqin Xie, Shaode Yu, Lingling Liu, 2018, Science China Technological Sciences.

CT Super Resolution via Zero Shot Learning

Yaoqin Xie, Wenjian Qin, Shaode Yu, 2020, 2012.08943.

A Sparse-View CT Reconstruction Method Based on Combination of DenseNet and Deconvolution

Yaoqin Xie, Guohua Cao, Xu Dong, 2018, IEEE Transactions on Medical Imaging.

Alterations of Regional Homogeneity in Parkinson’s Disease Patients With Freezing of Gait: A Resting-State fMRI Study

Yaoqin Xie, Xiuhang Ruan, Xinhua Wei, 2019, Front. Aging Neurosci..

MRI segmentation of brain tissue based on spatial prior and neighboring pixels affinities

Qingsong Zhu, Yaoqin Xie, Zhanpeng Zhang, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

A Novel Wearable Electrocardiogram Classification System Using Convolutional Neural Networks and Active Learning

Yaoqin Xie, Yufa Xia, Yaoqin Xie, 2019, IEEE Access.

Can Signal-to-Noise Ratio Perform as a Baseline Indicator for Medical Image Quality Assessment

Yaoqin Xie, Leida Li, Shaode Yu, 2018, IEEE Access.

Elastic Net based Feature Ranking and Selection pdf

Yaoqin Xie, Wenjian Qin, Shaode Yu, 2020, ArXiv.

An image-processing strategy to extract important information suitable for a low-size stimulus pattern in a retinal prosthesis

Yaoqin Xie, Yili Chen, Jixiang Fu, 2017, Biomedizinische Technik. Biomedical engineering.

Radiographical assessment of tumour stroma and treatment outcomes using deep learning: a retrospective, multicohort study.

Ruijiang Li, Yaoqin Xie, G. Poultsides, 2021, The Lancet. Digital health.

Class center attention network with spatial adaption for enhancing hepatic segments classification with low-visibility vascular

Yaoqin Xie, Wenjian Qin, Hailin Cao, 2022, Displays.

Fully-automated functional region annotation of liver via a 2.5D class-aware deep neural network with spatial adaptation

Wenjian Qin, Hailin Cao, Yinli Tian, 2020, Comput. Methods Programs Biomed..

Weighting Wiener and total variation for image denoising

Yaoqin Xie, Bing Luo, Yun Liu, 2016, 2016 IEEE International Conference on Information and Automation (ICIA).

Applications of edge preservation ratio in image processing

Yaoqin Xie, Shaode Yu, Xiaolong Li, 2014, 2014 12th International Conference on Signal Processing (ICSP).

A Novel Recursive Bayesian Learning-Based Method for the Efficient and Accurate Segmentation of Video With Dynamic Background

Lei Wang, Zhan Song, Qingsong Zhu, 2012, IEEE Transactions on Image Processing.

Monte Carlo simulations of energy deposition and DNA damage using TOPAS-nBio

Yaoqin Xie, Yuenan Wang, Jianan Wu, 2020, Physics in medicine and biology.

Interactive contour delineation and refinement in treatment planning of image‐guided radiation therapy

Yaoqin Xie, Yaoqin Xie, Wu Zhou, 2014, Journal of applied clinical medical physics.

Intrafractional motion of the prostate during hypofractionated radiotherapy.

Yaoqin Xie, Lei Xing, Lijun Ma, 2008, International journal of radiation oncology, biology, physics.

Dose prediction via distance-guided deep learning: initial development for nasopharyngeal carcinoma radiotherapy.

Yaoqin Xie, Wenjian Qin, Wei Zhao, 2022, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Free-Breathing 3D Imaging of Right Ventricular Structure and Function Using Respiratory and Cardiac Self-Gated Cine MRI

Yaoqin Xie, Pascal Spincemaille, Yanchun Zhu, 2015, BioMed research international.

Deformable image registration of liver with consideration of lung sliding motion.

Yaoqin Xie, Ming Chao, Guanglei Xiong, 2011, Medical physics.

Monte Carlo study of TG‐43 dosimetry parameters of GammaMed Plus high dose rate 192Ir brachytherapy source using TOPAS

Yaoqin Xie, Luhua Wang, Jianan Wu, 2021, Journal of applied clinical medical physics.

Nonlocal Total-Variation–Based Speckle Filtering for Ultrasound Images

Yaoqin Xie, Tiexiang Wen, Jia Gu, 2016, Ultrasonic imaging.

Integrative Histology-Genomic Analysis Predicts Hepatocellular Carcinoma Prognosis Using Deep Learning

Yaoqin Xie, Wenjian Qin, Jiaxin Hou, 2022, Genes.

Synthesizing CT images from MR images with deep learning: model generalization for different datasets through transfer learning

Steve B. Jiang, Yaoqin Xie, Ti Bai, 2021, Biomedical physics & engineering express.

Artificial intelligence-based bone-enhanced magnetic resonance image-a computed tomography/magnetic resonance image composite image modality in nasopharyngeal carcinoma radiotherapy.

Yaoqin Xie, Yuenan Wang, Wenjian Qin, 2021, Quantitative imaging in medicine and surgery.

Magnetic resonance image (MRI) synthesis from brain computed tomography (CT) images based on deep learning methods for magnetic resonance (MR)-guided radiotherapy.

Yaoqin Xie, Wenjian Qin, Jing Xiong, 2020, Quantitative imaging in medicine and surgery.

Incorporating the synthetic CT image for improving the performance of deformable image registration between planning CT and cone-beam CT

Yaoqin Xie, Shupeng Chen, Xiaokun Liang, 2023, Frontiers in Oncology.

GPU based parallel acceleration for fast C-arm cone-beam CT reconstruction

Ken Chen, Yaoqin Xie, Jing Xiong, 2018, BioMedical Engineering OnLine.

Cone Beam X-ray Luminescence Computed Tomography Based on Bayesian Method

Jie Liu, Jianwen Luo, Yaoqin Xie, 2017, IEEE Transactions on Medical Imaging.

Determination of Acquisition Frequency for Intrafractional Motion of Pancreas in CyberKnife Radiotherapy

Yaoqin Xie, Huailing Zhang, Guoru Zhao, 2014, TheScientificWorldJournal.

Image-based modeling of tumor shrinkage in head and neck radiation therapy.

Yaoqin Xie, Lei Xing, Quynh-Thu Le, 2010, Medical physics.

Quantitative Cone-Beam CT Imaging in Radiotherapy: Parallel Computation and Comprehensive Evaluation on the TrueBeam System

Yaoqin Xie, Tianye Niu, Xiaokun Liang, 2019, IEEE Access.

Auto-propagation of contours for adaptive prostate radiation therapy

Yaoqin Xie, Lei Xing, Ming Chao, 2008, Physics in medicine and biology.

Iterative image-domain ring artifact removal in cone-beam CT

Yaoqin Xie, Tianye Niu, Shibin Wu, 2017, Physics in medicine and biology.

Augmenting interventional ultrasound using statistical shape model for guiding percutaneous nephrolithotomy: Initial evaluation in pigs

Ken Chen, Lei Wang, Yaoqin Xie, 2014, Neurocomputing.

Objective assessment of deformable image registration in radiotherapy: A multi-institution study

Quan Chen, Yaoqin Xie, Lei Dong, 2008 .

An efficient r-KDE model for the segmentation of dynamic scenes

Zhan Song, Qingsong Zhu, Yaoqin Xie, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Breast mass lesion classification in mammograms by transfer learning

Yaoqin Xie, Fan Jiang, Shaode Yu, 2017, BIOINFORMATICS 2017.

A Hybrid Deep Feature-Based Deformable Image Registration Method for Pathological Images

Md Tauhidul Islam, Yaoqin Xie, Wenjian Qin, 2022, SSRN Electronic Journal.

Incorporating the hybrid deformable model for improving the performance of abdominal CT segmentation via multi-scale feature fusion network

Shoujun Zhou, Zhicheng Zhang, Jing Xiong, 2021, Medical Image Anal..

A Deep Learning Framework for Prostate Localization in Cone Beam CT Guided Radiotherapy.

Lei Xing, Yaoqin Xie, Hilary Bagshaw, 2020, Medical physics.

Weakly-supervised framework for cancer regions detection of hepatocellular carcinoma in whole-slide pathological images based on multi-scale attention convolutional neural network.

Yaoqin Xie, Fa Zhang, Wenjian Qin, 2021, The American journal of pathology.

A Technical Review of Convolutional Neural Network-Based Mammographic Breast Cancer Diagnosis

Yaoqin Xie, Shaode Yu, Lian Zou, 2019, Comput. Math. Methods Medicine.

A Feasibility of Respiration Prediction Based on Deep Bi-LSTM for Real-Time Tumor Tracking

Yaoqin Xie, Ran Wang, Xiaokun Liang, 2018, IEEE Access.

Learning low-dose CT degradation from unpaired data with flow-based model.

Xuan Liu, Yaoqin Xie, Shan Tan, 2022, Medical physics.

Automatic Segmentation of Ultrasound Tomography Image

Yaoqin Xie, Shibin Wu, Shaode Yu, 2017, BioMed research international.

Efficient Segmentation of a Breast in B-Mode Ultrasound Tomography Using Three-Dimensional GrabCut (GC3D)

Yaoqin Xie, Shibin Wu, Shaode Yu, 2017, Sensors.

2D/3D Non-Rigid Image Registration via Two Orthogonal X-ray Projection Images for Lung Tumor Tracking

Yaoqin Xie, Guoya Dong, Xiaokun Liang, 2023, Bioengineering.

matFR: a MATLAB toolbox for feature ranking

Wenjian Qin, Shaode Yu, Zhicheng Zhang, 2020, Bioinform..

Computer-Aided Pathological Diagnosis of Nasopharyngeal Carcinoma Based on Deep Learning.

Yaoqin Xie, Lei Liu, Wenjian Qin, 2020, The American journal of pathology.

Constructing metabolism-protein interaction relationship to identify glioma prognosis using deep learning

Fan Yang, Yaoqin Xie, J. Li, 2023, Comput. Biol. Medicine.

Real-Time Patient Table Removal in CT Images

Yaoqin Xie, Luming Chen, Hefang Zhang, 2016, HIS.

An edge-directed interpolation method for fetal spine MR images

Yaoqin Xie, Jiani Hu, Shaode Yu, 2013, Biomedical engineering online.

A novel medical image registration based on control volumes

Yaoqin Xie, Huailing Zhang, Yaoqin Xie, 2011, 2011 International Conference of Soft Computing and Pattern Recognition (SoCPaR).

Segmented Deformable Registration for Improved Modeling of the Lungs

Yaoqin Xie, Lei Xing, Wu Liu, 2009 .

Noninvasive Prediction of Occult Peritoneal Metastasis in Gastric Cancer Using Deep Learning

Ruijiang Li, Yaoqin Xie, Yuming Jiang, 2021, JAMA network open.

Nonrigid Registration of Lung CT Images Based on Tissue Features

Yaoqin Xie, Yanjie Li, Shaode Yu, 2013, Comput. Math. Methods Medicine.

Image-Based Pain Intensity Estimation Using Parallel CNNs with Regional Attention

Yaoqin Xie, Xiaokun Liang, Jiani Hu, 2022, Bioengineering.

Validation of Geometric and Dosimetric Accuracy of Edge Accelerator Gating With Electromagnetic Tracking: A Phantom Study

Fei Li, Lin Zhu, Geng Yang, 2019, IEEE Access.

Objective assessment of deformable image registration in radiotherapy: a multi-institution study.

Quan Chen, Yaoqin Xie, Lei Xing, 2007, Medical physics.

Accurate breast cancer diagnosis using a stable feature ranking algorithm

Yaoqin Xie, Shaode Yu, Xiaokun Liang, 2023, BMC Medical Informatics and Decision Making.

An Unsupervised Learning-Based Regional Deformable Model for Automated Multi-Organ Contour Propagation

Yaoqin Xie, Z. Dai, Xiaokun Liang, 2023, Journal of Digital Imaging.

A shallow convolutional neural network for blind image sharpness assessment

Lei Wang, Yaoqin Xie, Fan Jiang, 2017, PloS one.

Transferring deep neural networks for the differentiation of mammographic breast lesions

Yaoqin Xie, Shaode Yu, Zhaoyang Wang, 2018, Science China Technological Sciences.

EP-1740: Application of virtual reality guide hypnosis in the control of respiration motion for radiotherapy

Yaoqin Xie, Y. Chen, J. Deng, 2016 .

A deep unsupervised learning framework for the 4D CBCT artifact correction

T. Niu, Yaoqin Xie, L. Deng, 2022, Physics in medicine and biology.

Tissue feature-based intra-fractional motion tracking for stereoscopic x-ray image guided radiotherapy

Yaoqin Xie, Jia Gu, Lei Xing, 2013, Physics in medicine and biology.

Self-supervised CT super-resolution with hybrid model

Guohua Cao, Wenjian Qin, Shaode Yu, 2021, Comput. Biol. Medicine.

A Diffusion Probabilistic Prior for Low-Dose CT Image Denoising

Yaoqin Xie, X. Liu, Shan Tan, 2023, ArXiv.

Diffusion Probabilistic Priors for Zero-Shot Low-Dose CT Image Denoising

Yaoqin Xie, X. Liu, Shan Tan, 2023, 2305.15887.

Cone Beam X-ray Luminescence Computed Tomography Based on Bayesian Method.

L. Xing, Yaoqin Xie, Jianwen Luo, 2017, IEEE transactions on medical imaging.

A Deep Unsupervised Learning Model for Artifact Correction of Pelvis Cone-Beam CT

Yaoqin Xie, L. Deng, Guoya Dong, 2021, Frontiers in Oncology.

Segmentation of abdomen MR images using kernel graph cuts with shape priors

Yaoqin Xie, Tiexiang Wen, Jia Gu, 2013, BioMedical Engineering OnLine.

Malignancy characterization of hepatocellular carcinoma using hybrid texture and deep features

Yaoqin Xie, Hairong Zheng, Qiyao Wang, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Robust Segmentation of Intima–Media Borders With Different Morphologies and Dynamics During the Cardiac Cycle

Jianwen Luo, Yaoqin Xie, Heye Zhang, 2018, IEEE Journal of Biomedical and Health Informatics.

XTransCT: Ultra-Fast Volumetric CT Reconstruction using Two Orthogonal X-Ray Projections via a Transformer Network

Yaoqin Xie, X. Liu, Xiaokun Liang, 2023, ArXiv.

Dynamic magnetic resonance imaging method based on golden-ratio cartesian sampling and compressed sensing

Yaoqin Xie, Song Gao, Shuo Li, 2018, PloS one.

A consistency evaluation of signal-to-noise ratio in the quality assessment of human brain magnetic resonance images

Yaoqin Xie, Leida Li, Shaode Yu, 2018, BMC Medical Imaging.

Quick shift segmentation guided single image haze removal algorithm

Di Wu, Lei Wang, Qingsong Zhu, 2014, 2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014).

A new approach to detecting ulcer and bleeding in Wireless capsule endoscopy images

Yaoqin Xie, Jia Gu, Wenjian Qin, 2012, Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics.

Clinical feasibility of MRI-based synthetic CT imaging in the diagnosis of lumbar disc herniation: a comparative study.

Yaoqin Xie, Jun Xia, Shibin Wu, 2023, Acta radiologica.

To Align Multimodal Lumbar Spine Images via Bending Energy Constrained Normalized Mutual Information

Jun Xia, Shibin Wu, Shaode Yu, 2020, BioMed research international.

CT synthesis from MRI images based on deep learning methods for MRI-only radiotherapy

Jing Xiong, Wen Li, Yaoqin Xie, 2019, 2019 International Conference on Medical Imaging Physics and Engineering (ICMIPE).

Investigation on Accuracy of Stopping Power Ratio Prediction Based on Spectral CT

Yaoqin Xie, Cuiyun Yuan, Man Zhao, 2022, Journal of Medical and Biological Engineering.

Recursive Kernel Density Estimation for modeling the background and segmenting moving objects

Ling Shao, Qingsong Zhu, Yaoqin Xie, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

A New Video Object Segmentation Algorithm by Fusion of Spatio-temporal Information Based on GMM Learning

Qingsong Zhu, Yaoqin Xie, Jia Gu, 2011 .

Evaluation of various speckle reduction filters on medical ultrasound images

Qingsong Zhu, Yaoqin Xie, Shibin Wu, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Unmarked External Breathing Motion Tracking Based on B-spline Elastic Registration

Zeyang Xia, Jing Xiong, Yaoqin Xie, 2021, ICIRA.

A Computer-aided radiomics approach based on classifier ensemble to differentiate malignancy of hepatocellular carcinoma with Contrast-enhanced MR

Yaoqin Xie, Wu Zhou, Xiaoping Cen, 2019, 2019 International Conference on Medical Imaging Physics and Engineering (ICMIPE).

A Novel Technique for Prealignment in Multimodality Medical Image Registration

Yaoqin Xie, Lijuan Zhang, Wu Zhou, 2014, BioMed research international.

Interactive Multigrid Refinement for Deformable Image Registration

Yaoqin Xie, Wu Zhou, Yaoqin Xie, 2013, BioMed research international.

Explicit vascular reconstruction based on adjacent vector projection

Yaoqin Xie, Shibin Wu, Shaode Yu, 2016, Bioengineered.

Contour Propagation Using Feature-Based Deformable Registration for Lung Cancer

Yaoqin Xie, Shibin Wu, Shoujun Zhou, 2013, BioMed research international.

Using signal-to-noise ratio to connect the quality assessment of natural and medical images

Yaoqin Xie, Ruoyu Li, Shaode Yu, 2018, International Conference on Digital Image Processing.

A Matlab Toolbox for Feature Importance Ranking

Yaoqin Xie, Shaode Yu, Wenjian Qin, 2019, 2019 International Conference on Medical Imaging Physics and Engineering (ICMIPE).

Comparison of Supervised and Unsupervised Deep Learning Methods for Medical Image Synthesis between Computed Tomography and Magnetic Resonance Images

Jun Xia, Yaoqin Xie, Yafen Li, 2020, BioMed research international.

An unsupervised dual contrastive learning framework for scatter correction in cone-beam CT image

Yaoqin Xie, X. Liu, Xiaokun Liang, 2023, Comput. Biol. Medicine.

Self-Paced Learning for Automatic Prostate Segmentation on MR Images with Hierarchical Boundary Sensitive Network

Wenjian Qin, Yixuan Yuan, Yaoqin Xie, 2020, 2020 IEEE International Conference on Real-time Computing and Robotics (RCAR).

Sinogram domain metal artifact correction of CT via deep learning

Yaoqin Xie, L. Deng, Xiaokun Liang, 2023, Comput. Biol. Medicine.

A Comparison of Breast Tumors Classifications Based on Mammography and Digital Breast Tomosynthesis: A Fractal Analysis Study

Wenjian Qin, Yaoqin Xie, Yunqiang Chen, 2019, 2019 International Conference on Medical Imaging Physics and Engineering (ICMIPE).

Interactive Medical Image Segmentation Using Snake and Multiscale Curve Editing

Yaoqin Xie, Wu Zhou, Yaoqin Xie, 2013, Comput. Math. Methods Medicine.

An Accurate Estimation of T2* Mapping for Fast Magnetic Resonance Imaging

Yaoqin Xie, Jie Yang, Zhicheng Zhang, 2019, ISICDM.

ARR-GCN: Anatomy-Relation Reasoning Graph Convolutional Network for Automatic Fine-Grained Segmentation of Organ's Surgical Anatomy

Yaoqin Xie, Lequan Yu, Wenjian Qin, 2023, IEEE Journal of Biomedical and Health Informatics.

Towards real time guide wire shape extraction in fluoroscopic sequences: A two phase deep learning scheme to extract sparse curvilinear structures

Wenjian Qin, Shoujun Zhou, Ken Chen, 2021, Comput. Medical Imaging Graph..