General

Yaoqin Xie, Male, Professor, Ph.D.Supervisor, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences

Email: yq.xie@siat.ac.cn
Telephone: 0755-86392281
Address: 1068 Xueyuan Avenue, Shenzhen, China
Postcode:  

Research Areas

Medical Image

Medical Physics

Radiation Oncology Physics

Biomedical Engineering

Publications


Papers

[1] Li W, Li YF, Qin WJ, Liang XK, Xu JY, Xiong J, Xie YQ*. MRI Synthesis based on Planning CT images using deep learning methods for MR-guided Radiotherapy, Quantitative Imaging in Medicine and Surgery, accepted.

[2] Liu YJ, He YN, Li RM, Yu SD, Xu JY, Xie YQ*, Coupled Temporal Fluctuation and Global Signal Synchronization of Spontaneous Brain Activity in Hypnosis for Respiration Control: An fMRI Study, Neuroscience, 2019. IF=3.244 Q2

[3] Liu YJ, Li MY, Chen HB, Wei XH*, Hu GH, Yu SD, Ruan XH, Zhou J, Pan XP, Li Z, Luo ZH, Xie YQ*, Alterations of Regional Homogeneity in Parkinsons Disease Patients With Freezing of Gait: A Resting-State fMRI Study, Frontiers in Aging Neuroscience 11: 276, 2019. IF=3.633 Q2

[4] Li MY, Liu YJ*, Chen HB, Hu GH, Yu SD, Ruan XH, Luo ZH, Wei XH*, Xie YQ*, Altered global synchronizations in patients with Parkinsons disease: a resting-state fMRI study, Frontiers in Aging Neuroscience 11: 139, 2019. IF=3.633 Q2

[5] Liang XK, Li N, Zhang ZC, Yu SD, Qin WJ, Li YF, Chen SP, Zhang HL*, Xie YQ*, Shading Correction for Volumetric CT using Deep Convolutional Neural Network and Adaptive Filter, Quantitative Imaging in Medicine and Surgery 9(7): 1242-1254, 2019 IF=3.074 Q2

[6] Liang XK, Jiang YK, Wang YN, Zhang ZC, Luo C, Xiong J, Yu SD, Yang XM, Sun JH, Zhou QX, Niu TY*, Xie YQ*, Scatter correction for a clinical cone-beam CT system using an optimized stationary beam blocker in a single scan, Medical Physics 46(7): 3165-3179, 2019 IF=3.177 Q2

[7] Liang XK, Jiang YK, Xie YQ, Niu TY, Quantitative Cone-Beam CT Imaging in Radiotherapy: Parallel Computation and Comprehensive Evaluation on the TrueBeam System, IEEE Access 7, accepted. IF=4.098 Q1

[8] Xia YF, Xie YQ*, A Novel Wearable Electrocardiogram Classification System Using Convolutional Neural Networks and Active Learning, IEEE Access 7: 7989 – 8001, 2019 IF=4.098 Q1

[9] Zou L, Yu SD, Meng TB, Zhang ZC, Liang XK, Xie YQ*, A Technical Review of Convolutional Neural Network-Based Mammographic Breast Cancer Diagnosis, Computational and Mathematical Methods in Medicine 2019, 6509357

[10] Zou L, Chen X, Xu C, Xing L, Xie YQ*, Design and Preliminary Experience of a Tele-Radiotherapy System for a Medical Alliance in China, Telemedicine and e-Health, Ahead of Print

[11] Yu S, Liu L, Wang Z, Dai G, Xie YQ*, Transferring deep neural networks for the differentiation of mammographic breast lesions, Science China – Technological Sciences 62(3): 441-447, 2019

[12] Chen K, Wang C, Xie YQ*, Zhou SJ, A GPU based Automatic Approach For Guide Wire Tracking in Fluoroscopic Sequences, International Journal of Pattern Recognition and Artificial Intelligencepublished 24 December 2018

[13] Huang P, Yu G, Kapp DS, Bian XF, Ma CS, Li HS, Chen JH, Liang YQ, Zhang Y, Qin SH, Xie YQ, Yang Y, Yin Y, Xing L, Li DW. Cumulative dose of radiation therapy of hepatocellular carcinoma patients and its deterministic relation to radiation-induced liver disease. Med Dosim 43(3):258-266. 2018.

[14] Wang R, Liang XK, Zhu XY, Xie YQ*, A feasibility of respiration prediction based on Deep Bi-LSTM for real-time tumor tracking, IEEE Access 6: 51262-51268, 2018

[15] Chen K, Wang C, Xiong J, Xie YQ*, GPU based parallel acceleration for fast Carm cone-beam CT reconstruction, BioMedical Engineering Online 17: 73, 2018

[16] Liu YJ, Qin WJ, Li RM, Yu SD, He YN, Xie YQ*, Investigation on the neural mechanism of hypnosis-based respiratory control using functional MRI, Contrast Media & Molecular Imaging 8182542, 2018.

[17] Yu SD, Dai GZ, Wang ZY, Li LD, Wei XH, Xie YQ*, A consistency evaluation of signal-to-noise ratio in the quality assessment of human brain magnetic resonance images, BMC Medical Imaging 18: 17, 2018.

[18] Zhang ZC, Liang XK, Dong X, Xie YQ*, Cao GH*, A sparse-view CT reconstruction method based on combination of DenseNet and deconvolution, IEEE Transactions on Medical Imaging 37(6): 1407-1417, 2018, IF = 7.82, Q1

[19] Zhang ZC, Dai GZ, Liang XK, Yu SD, Li LD, Xie YQ*, Can signal-to-noise ratio perform as a baseline indicator for medical image quality assessment, IEEE Access 6: 11534-11543, 2018. IF = 3.56, Q1

[20] Li S, Zhu YC, Xie YQ, Gao S*, Dynamic magnetic resonance imaging method based on golden-ratio cartesian sampling and compressed sensing, Plos One, 13(1): e0191569, 2018. IF = 2.806, Q1

[21] Zhao S, Gao ZF, Zhang HY*, Xie YQ*Jianwen Luo, Dhanjoo Ghista, Zhanghong Wei, Xiaojun Bi, Huahua Xiong, Chenchu Xu, and Shuo Li, Robust Segmentation of Intima-Media Borders with Different Morphologies and Dynamics During the Cardiac Cycle, IEEE Journal of Biomedical and Health Informatics 22(5): 1571-1582, 2018. IF = 4.217, Q1

[22] Zhu YC, Chang E, Ma YJ, Zhang HY, Xie YQ, Du J*Rotator Cuff Tendon Assessment Using Magic-Angle Insensitive 3D Ultrashort Echo Time Cones Magnetization Transfer (UTE-Cones-MT) Imaging and Modeling with Histological Correlation, Journal of Magnetic Resonance Imaging 48(1): 160-168, 2018. IF = 3.08, Q1

[23] Liang XK, Zhang ZC, Niu TY, Yu SD, Wu SB, Li ZC, Zhang HL*, Xie YQ*, Iterative image-domain ring artifact removal in cone-beam CT, Physics in Medicine and Biology 62(13): 5276-5292, 2017. IF = 2.665, Q1

[24] Yu SD, Wu SB, Wang L, Jiang F, Li LD*, Xie YQ*, A shallow convolutional neural network for blind image sharpness assessment, PLOS ONE, 12(5)e0176632. IF = 2.766, Q1

[25] Yu SD, Wu SB, Zhuang L, Wei XH, Sak M, Neb D, Hu JN*, and Xie YQ*Efficient Segmentation of a Breast in B-Mode Ultrasound Tomography Using Three-Dimensional GrabCut (GC3D)SENSORS2017, 17, 1827.IF = 2.475, Q1

[26] Wu SB, Yu SD, Zhuang L, Wei XH, Sak M, Neb D, Hu JN*, and Xie YQ*Automatic Segmentation of Ultrasound Tomography ImageBioMed Research International 2017: 2059036, 2017

[27] Zhang GL, Liu F, Liu J, Luo JW, Xie YQ, Bai J, Xing L. Cone Beam X-ray Luminescence Computed Tomography Based on Bayesian Method. IEEE Transactions on Medical Imaging 36(1)225~235, 2017.

[28] Zhu, Yanchun Spincemaille, PascalLiu, JingLi, ShuoNguyen, Thanh D.Prince, Martin R.Xie, Yaoqin (*)Wang, Yi (*)Nonlinear profile order for three-dimensional hybrid radial acquisition applied to self-gated free-breathing cardiac cine MRIChinese Physics B2017.01.01261

[29] Zhang, Zhicheng Yu, ShaodeLiang, XiaokunZhu, YanchunXie, Yaoqin(*) A novel design of ultrafast micro-CT system based on carbon nanotube: A feasibility study in phantomEuropean Journal of Medical Physics2016.10.013210):1302~1307

[30] Zhao W, Niu TY, Xing L, Xie YQ, Xiong GL, Elmore K, Zhu J, Wang L, Min JK. Using edge-preserving algorithm with non-local mean for significantly improved image-domain material decomposition in dual-energy CT. Physics in Medicine and Biology, 61(3): 1332-1351, 2016.

[31] Li, Shuo Wang, LeiZhu, Yan-Chun Yang, Jie Xie, Yao-Qin Fu,  NanWang, YiGao, SongAccuracy and effectiveness of self-gating signals in free-breathing three-dimensional cardiac cine magnetic resonance imagingChinese Physics B2016.12.012512

[32] Yu, Shaode Wu, ShibinZhang, ZhichengChen, YiliXie, Yaoqin(*) Explicit vascular reconstruction based on adjacent vector projectionBioengineered2016.01.0175):365~371

[33] Yu Shao-De Wu Shi-BinWang Hao-YuWei Xin-HuaChen XinPan Wan-LongHu JianiXie Yao-Qin(*), Linear-fitting-based similarity coefficientmap for tissue dissimilarity analysis in T-2*-w magnetic resonance imagingChinese Physics B2412: 128711, 2015

[34] Zhu, Yanchun Liu, JingWeinsaft, JonathanSpincemaille, PascalNguyen, Thanh DPrince, Martin RBao, ShanglianXie, Yaoqin(*)Wang, Yi(*), Free-Breathing 3D Imaging of Right Ventricular Structure and Function Using Respiratory and Cardiac Self-Gated Cine MRI.BioMed research international2015.01.012015819102~819102

[35] Wei, Xin-Hua Ren, Ji-LiangLiu, Wen-HuaYang, Rui-MengXu,(#)Xiang-DongLiu, JunGuo, Yong-MeiYu, Shao-DeLai, Li-ShaXie, Yao-QinJiang, Xin-Qing (*) Increased interhemispheric functional connectivity in college students with non-clinical depressive symptoms in resting stateNeuroscience Letters2015.3.458967~72

[36] Zhou W, Zhang LJ, Xie YQ, Liang CH, A Novel Technique for Prealignment in Multimodality Medical Image Registration, Biomed Research International, 2014: 726852, 2014.

[37] Li ZC, Li K, Zhan HL, Chen K, Chen MM, Xie YQ, Wang L, Augmenting interventional ultrasound using statistical shape model for guiding percutaneous nephrolithotomy: Initial evaluation in pigs Neurocomputing, 144: 58-69, 2014.

[38] Zhu QS, Wen TX, Xie YQ, Gu J, Wang L, Contour-Based Image Registration using Bipartite Graph Matching with Munkres Algorithm, Applied Mathematics and Information Sciences, 8(1): 263-271, 2014.

[39] Zhang HL, Zhao GR, Djajaputra D, Xie YQ*, Determination of Acquisition Frequency for Intrafractional Motion of Pancreas in CyberKnife Radiotherapy. The Scientific World Journal, 2014: 1-8, 2014.

[40] Wang Haoyu, Hu Jiani, Xie Yaoqin, Chen Jie, Yu Amy, Wei Xinhua, Dai Yongming, Li Meng, Bao Shanglian*, E M. Haacke, Feasibility of Similarity Coefficient Map for Improving Morphological Evaluation of T2* Weighted MRI for Renal Cancer, Chinese Physics B, 2013,22(3):038702~1-038702~11.

[41] Zhou SJ, Chen WF, Jia FC, Hu QM, Xie YQ, Chen MY, Wu JH,  Segmentation of brain magnetic resonance angiography images based on MAP-MRF with multi-pattern neighborhood system and approximation of regularization coefficient, Medical Image Analysis, 17(8): 1220-1235, 2013.

[42] Yang YH, Zhou SJ, Shang P, Qi E, Wu SB, Xie YQ*, Contour Propagation Using Feature-based Deformable Registration for Lung Cancer, BioMed Research International 701514, 2013.

[43] Zhou W, Xie YQ, Interactive Multigrid refinement for deformable image registration, BioMed Research International, 2013.

[44] Yu SD, Zhang R, Wu SB, Hu JN, Xie YQ, An edge-directed interpolation method for fetal spine MR images, BioMedical Engineering Online, 12:102, 2013

[45] Zhou W, Xie YQ, Interactive contour delineation and refinement in treatment planning of image guided radiation therapy, Journal of Applied Clinical Medical Physics, 15(1), 2014, 141-166.

[46] Zhang R, Zhou W, Li YJ, Yu SD, Xie YQ, Nonrigid registration of lung CT images based on tissue features, Computational and mathematical methods in medicine 2013: 834192, 2013.

[47] An M, Xie YQ, A Novel CT Imaging System with Adjacent Double X-Ray Sources, Computational and mathematical methods in medicine, 2013: 391212, 2013.

[48] Zhou W, Xie YQ, Interactive medical image segmentation using snake and multiscale curve editing, Computational and mathematical methods in medicine, 2013: 325903, 2013.

[49] Wu SB, Yu SD, Yang YH, Xie YQ, Feature and contrast enhancement of mammographic image based on multiscale analysis and morphology, Computational and mathematical methods in medicine, 2013: 716948, 2013.

[50] Li RM, Deng J, Xie YQ*, Control of Respiratory Motion by Hypnosis Intervention during Radiotherapy of Lung Cancer I, BioMed Research International, 2013.

[51] Zhu QS, Li Q, Xie YQ*, Wang L*, Perfect Snapping: An Accurate and Efficient Interactive Image segmentation Algorithm, Applied Mathematics & Information Sciences, 7(4):1387-1393, 2013.

[52] Luo Q, Qin WJ, Wen TX, Gu J, Gaio N, Chen SF, Xie YQ, Segmentation of abdomen MR images using kernel graph cuts with shape priors, Biomedical engineering online 12 (1): 124, 2013.

[53] Zhu QS, Ye RC, Xie YQ*, Wang L*, Contour-Based Image Registration Using Bipartite Graph Matching With Munkres Algorithm, Applied Mathematics & Information Sciences, 8(1): 263-271, 2013.

[54] Zhu QS, Zhang ZP, Song Z, Xie YQ, Wang L*, A Novel Nonlinear Regression Approach for Efficient and Accurate Image Matting, IEEE Signal Processing Letters, 20(11): 1078-1081, 2013.

[55] Wen TX, Zhu QS, Qin WJ, Li L, Yang F, Xie YQ, Gu J, An Accurate and Effective FMM-based Approach for Freehand 3D Ultrasound Reconstruction, Biomedical Signal Processing and Control, 8(6): 645-656, 2013.

[56] Xie YQ, Xing L, Gu J, Liu W, Tissue feature-based intra-fractional motion tracking for stereoscopic x-ray image guided radiotherapy. Phys Med Biol, 58 (11): 3615-3630, 2013.

[57] Xiong GL, Chen CZ, Chen JZ, Xie YQ, Xing L*, Tracking the motion trajectories of junction structures in 4D CT images of the lung. Phys Med Biol, 57(15): 4905-4930, 2012.

[58] Zhu QS, Song Zhan*, Xie YQ, Wang Lei, A Novel Recursive Bayesian Learning based Method for the Efficient and Accurate Segmentation of Video with Dynamic Background, IEEE Transactions Image Processing, 21(9): 3865-3876, 2012.

[59] Zhu QS, Zhang ZP, Xie YQ*, A Recursive Kernel Density Learning Framework for Robust Foreground Object Segmentation. Appl Math Inform Sci, 6(2): 363-369, 2012.

[60] Zhu QS, Gu J, Xie YQ*, Deformable Image Registration with Inclusion of Auto-detected Homologous Tissue Features. The Scientific World Journal, 2012: 1-8, 2012.

[61] Yang F, Gu J, Xie YQ, Wen T, Qin W. A Shape-Optimized Framework for Kidney Segmentation in Ultrasound Images Using NLTV Denoising and DRLSE. Biomed Engineering Online, 11 (1), 2012

[62] Xie YQ, Chao M, Xiong GL, Deformable Image Registration of Liver with Consideration of Lung Sliding Motion. Medical Physics. 38(10): 5351-5361, 2011

[63] Qi, En; Wang, Lili; Xie, Yaoqin; Zhou, Shoujun; Zhang, Huailing; Hu, Jiani, Using Total-Variation Regularization for Deformable Registration of the Utero Fetal MR Images, Journal of Bionanoscience, 7(1): 5-9, 2013

[64] Xie YQ, Chao M and Xing L, Tissue Feature-Based and Segmented Deformable Image Registration for Improved Modeling of the Shear Movement of the Lungs. International Journal of Radiation Oncology, Biology and Physics, 74(4): 1256-1265, 2009.(该期亮点文章)SCI

[65] Xie YQ, Chao M, Lee P, Xing L, Feature-based rectal contour propagation from planning CT to cone beam CT. Medical Physics, 35(10): 4450-4459, 2008.SCI

[66] Xie YQ, Djajaputra D and Xing L, Intrafractional Motion of the Prostate During Hypofractionated Radiotherapy. International Journal of Radiation Oncology, Biology and Physics, 72(1): 236-246, 2008.SCI


Conferences

[1] Li YQ, Wang ZY, Dai GZ, Wu SB, Yu SD, Xie YQ*, Evaluation of realistic blurring image quality by using a shallow convolutional neural network, IEEE International Conference on Information and Automation (ICIA): 853 – 857, 2017

[2] Dai GZ, Wang ZY, Li YQ, Chen Q, Yu SD, Xie YQ*, Evaluation of no-reference models to assess image sharpness, IEEE International Conference on Information and Automation (ICIA): 683 – 687, 2017

[3] Y Liu, R Li , S Yu, Z Zhang, Xie YQ*, SU-K-708-10: Coupled Temporal Variation and Distant Synchronization of Spontaneous Brain Activity in Hypnosis for Respiration Control, 59th Annual Meeting of American Association of Physicist in Medicine, 2017 

[4] X Liang*, Z Zhang , S Yu , S Wu , Z Li , T Niu , Xie YQ, SU-H4-GePD-I-1: Iterative Image-Domain Ring Artifacts Removal in Cone-Beam CT, 59th Annual Meeting of American Association of Physicist in Medicine, 2017 

[5] Y Li*, L Zou , Y Li , Xie YQ, J Xiong, SU-I-GPD-T-54: SRPLAN - A Software Platform of Treatment Planning and Navigation for Radiotherapy Snake Robot, 59th Annual Meeting of American Association of Physicist in Medicine, 2017 

[6] Liang, XGong, SZhou, QZhang, Z, Niu, T(#), Xie YQ, SU-F-J-211: Scatter Correction for Clinical Cone-Beam CT System Using An Optimized Stationary Beam Blocker with a Single Scan.Medical physics2016.01.01436):3457~3457

[7] Yu S, Jiang F, Li L, Xie YQ*. CNN-GRNN for image sharpness assessment. ACCV, 50–61, 2016

[8] Liu Y, Luo B, Zhang ZC, Zhu YC, Wu SB, Xie YQ*, Weighting Wiener and total variation for image denoising, IEEE International Conference on Information and Automation (ICIA): 1479 – 1483, 2016

[9] Chen LM, Jiang F, Zhang HF, Wu SB, Yu SD, Xie YQ*, Edge preservation ratio for image sharpness assessment, 12th World Congress on Intelligent Control and Automation (WCICA): 1377 – 1381, 2016

[10] Chen LM, Zhang HF, Wu SB, Yu SD, Xie YQ*, Estimating fetal brain motion with total-variation-based magnetic resonance image registration, 12th World Congress on Intelligent Control and Automation (WCICA): 809 – 813, 2016

[11] Liu Y, Li R, Xie YQ*, SU-F-J-139: Amplitude of Low Frequency Fluctuation(ALFF) and Regional Homogeneity (ReHo) Study of the Respiration Motion Control Byhypnosis.Medical physics2016.01.01436):3439~3439

[12] Y. Zhu, Xie YQ, S. Bao, S. Gao, Nonlinear Increasing Profile Order for Retrospective Gating Application to  Both Respiratory and Cardiac Self-Gated 3D CINE MRI, European Society for Magnetic Resonance in Medicine and Biology 2015

[13] Zhang ZC, Xie YQ, A Novel design of ultrafast Micro-CT system based on Carbon NanoTube, Asia-Oceania Federation of Organizations for Medical Physics 2015

[14] Zhu Y, Li S, Yang J, Xie YQ, A Method for Optimizing the Scaling Factor of Dual Echo Ultrashort Time Echo Imaging, Asia-Oceania Federation of Organizations for Medical Physics 2015

[15] Zhu Y, Li S, Yang J, Xie YQ, Golden Ratio Based Shaking Projection k-Space Sampling Trajectory, Asia-Oceania Federation of Organizations for Medical Physics 2015

[16] Liang XK, Xie YQ, Scatter correction for clinical cone-beam CT system using a stationary beam block with single scan: gantry wobble estimation, Asia-Oceania Federation of Organizations for Medical Physics 2015

[17] Li RM, Liu YJ, Xie YQ, Application of virtual reality technology in the controls of respiration motion in radiotherapy for lung cancer patients, Asia-Oceania Federation of Organizations for Medical Physics 2015

[18] Yu SD, Xie YQ, 3D-Grabcut for medical image segmentation, Asia-Oceania Federation of Organizations for Medical Physics 2015

[19] Mai JM, Zhu QS, Wu D, Xie YQ, Wang L, Back propagation neural network dehazing, IEEE International Conference on Robotics and Biomimetics (ROBIO 2014): 1433 – 1438, 2014

[20] Zhu QS, Wu D, Xie YQ, Wang L, Quick shift segmentation guided single image haze removal algorithm, IEEE International Conference on Robotics and Biomimetics (ROBIO 2014): 113 – 117, 2014

[21] Li ZC, Niu G, Li K, Zhan HL, Xie YQ, Wang L, Augmented reality using 3D shape model for ultrasound-guided percutaneous renal access: A pig model study, The 7th Biomedical Engineering International Conference: 1 – 4, 2014

[22] Yu SD, Zhang WT, Wu SB, Li XL, Xie YQ*, Applications of edge preservation ratio in image processing, 12th International Conference on Signal Processing (ICSP): 698 – 702, 2014

[23] Wu D, Zhu QS, Wang JJ, Xie YQ, Wang L, Image haze removal: Status, challenges and prospects, 4th IEEE International Conference on Information Science and Technology: 492 – 497, 2014

[24] Liu WXie YQChu ACChen ZNath ROptimized Prostate Intrafraction Motion Management IGRT Strategy for 3 mm Margin56th Annual Meeting of the American-Society-for-Radiation-OncologySan Francisco, CA2014.9.14-2014.9.17

[25] Zhu QS, Shao L, Song Z, Xie YQ*SUPERCUT: An accurate and effective interactive image segmentation algorithm, IEEE International Conference on Image Processing (ICIP): 4269 – 4272, 2013

[26] Zhu QS, Ye RC, Shao L, Li Q, Xie YQ*A novel thin elongated objects segmentation based on fuzzy connectedness and GMM learning, IEEE International Conference on Image Processing (ICIP): 4273 – 4276, 2013

[27] Wu SB, Zhu QS, Yang YH, Xie YQ*Feature and contrast enhancement of mammographic image based on multiscale analysis and morphology, IEEE International Conference on Information and Automation (ICIA): 521 – 526, 2013

[28] Zhu QS, Shao L, Li Q, Xie YQ*Recursive Kernel Density Estimation for modeling the background and segmenting moving objects, IEEE International Conference on Acoustics, Speech and Signal Processing: 1769 – 1772, 2013

[29] Wu, Shibin Zhu, Qingsong*, Xie YQ*, Evaluation of various speckle reduction filters on medical ultrasound images2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013Osaka, Japan2013.7.3-2013.7.7

[30] Liu WXie YQLin, W.Luxton, G.Nath, R.(*), Feature-based Automatic Real-time Tumor Motion Monitoring With or Without Fiducial Markers54th Annual Meeting of the American-Society-for-Radiation-Oncology (ASTRO)Boston, MA2012.10.28-2012.10.31

[31] Xie YQ*, Deformable Registration Method Using B-TPS in Radiotherapy54th Annual Meeting and Exhibition of the American-Association-of-Physicists-in-Medicine (AAPM)Charlotte, NC2012.7.29-2012.8.2

[32] Zhu QS, Song Z, Xie YQ*An efficient r-KDE model for the segmentation of dynamic scenes, Proceedings of the 21st International Conference on Pattern Recognition (ICPR): 198 – 201, 2012

[33] Zhang ZP, Zhu QS, Xie YQ*MRI segmentation of brain tissue based on spatial prior and neighboring pixels affinities, Proceedings of the 21st International Conference on Pattern Recognition (ICPR): 89 – 92, 2012

[34] Zhu YX, Zhu QS, Wang LL, Xie YQ*Hybrid deformable registration method joint using TPS and B-spline in CT image, Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics: 456 – 459, 2012

[35] Xie YQ, Xing LIntrafractional Motion of the Pancreas During Cyber Knife Radiation TherapyASTROOLando2011.10.01-2011.10.05

[36] Xie YQ, Zhang HLA novel medical image registration based on control volumes, International Conference of Soft Computing and Pattern Recognition (SoCPaR): 507 – 512, 2011

[37] Zhu QS, Liu GZ, Xie YQ*Dynamic Video Segmentation via a Novel Recursive Kernel Density Estimation, Sixth International Conference on Image and Graphics: 452 – 455, 2011

[38] Zhu QS, Liu GZ, Wang Z, Chen H, Xie YQ*A novel video object segmentation based on recursive Kernel Density Estimation, IEEE International Conference on Information and Automation: 843 – 846, 2011

[39] Xie YQ*Medical Image Tracking Using Contour and Projection Images, Symposium on Photonics and Optoelectronics: 1 – 4, 2010

[40] Jia PengxiangBao Shanglian*, Xie YQ, Monte Carlo simulation of x-ray tube spectra with PENELOPEWorld Congress on Medical Physics and Biomedical Engineering: Diagnostic ImagingMunich, Germany2009.9.7-2009.9.12 

[41] Wang Haoyu Bao ShanglianLi LeiYan Bin (*), Xie YQ, Comparison of few-view CT image reconstruction algorithms by constrained total-variation minimization based on different sampling basesWorld Congress on Medical Physics and Biomedical Engineering: Diagnostic ImagingMunich, Germany2009.9.7-2009.9.12

[42] Xie YQLiu W.Chao M.Bao S.L.Xing L.Segmented deformable registration for improved modeling of the lungsWorld Congress on Medical Physics and Biomedical Engineering: Radiation OncologyMunich, Germany2009.9.7-2009.9.12

[43] Chao, M.Xie YQLe, Q.Xing, L.Towards adaptive radiation therapy: Image-based tumor shrinkage modeling in head and neck cancer45th Annual Meeting of the American-Society-of-Clinical-OncologyOrlando, FL2009.5.29-2009.6.2

[44] Chen, L.Chao, M.Xie YQXing, L.Tumor shrinkage modeling: Towards adaptive radiation therapy for head and neck cancer50th Annual Meeting of the American Society for Therapeutic Radiology and OncologyBoston, MA2008.9.21-2008.9.25

[45] Djajaputra, D.Xie YQKing, C. R.Hossain, S.Ma, L.Xing, L.Intra-fractional motion of the prostate during protracted radiotherapy50th Annual Meeting of the American-Society-for-Therapeutic-Radiology-and OncologyBoston, MA2008.9.21-2008.9.25

[46] Xie YQChao, M.Xing, L.Modeling the deformation and sliding motion of lungs50th Annual Meeting of the American-Society-for-Therapeutic-Radiology-and OncologyBoston, MA2008.9.21-2008.9.25

[47] Xie YQXing, L.Incorporating a priori knowledge into deformatile registration model49th Annual Meeting of the American-Association-of-Physicists-in-MedicineMinneapolis, MN2007.7.22-2007.7.26

[48] Xie YQFaranesh, T.Daniel, B.Xing, L.Breast image registration using SIFT and TPS hybrid method49th Annual Meeting of the American-Association-of-Physicists-in-MedicineMinneapolis, MN2007.7.22-2007.7.26

[49] Kashani, R.Baiter, J.Kessler, M.Hub, M.Dong, L.Zhang, L.Xing, L.Xie YQHawkes, D.Schnabel, J.McClelland, J.Joshi, S.Objective assessment of deformable image registration in radiotherapy - amulti-institution study49th Annual Meeting of the American-Association-of-Physicists-in-MedicineMinneapolis, MN2007.7.22-2007.7.26

[50] Xie YQXing, L.Deformable image registration with inclusion of auto-detected homologous tissue features9th Biennial Meeting on Physics and Radiation Technology for Clinical RadiotherapyBarcelona, SPAIN2007.9.8-2007.9.13

[51] 谢耀钦基于深度学习的胸腹部肿瘤三维动态跟踪预测,中华医学会第十四次全国放射肿瘤治疗学(CSTRO)学术会议暨中美放射肿瘤研讨会 会议论文


Students

已指导学生

伍世宾  博士研究生  081104-模式识别与智能系统  

杨雨晗  硕士研究生  085211-计算机技术  

戚恩  硕士研究生  081203-计算机应用技术  

范忠银  硕士研究生  083100-生物医学工程  

陈垦  博士研究生  081104-模式识别与智能系统  

邹炼  博士研究生  081104-模式识别与智能系统  

费树培  硕士研究生  085211-计算机技术  

余绍德  博士研究生  081104-模式识别与智能系统  

王建军  硕士研究生  085211-计算机技术  

张志诚  博士研究生  081104-模式识别与智能系统  

海媛  硕士研究生  085208-电子与通信工程  

王燃  硕士研究生  081104-模式识别与智能系统  

现指导学生

李雅芬  博士研究生  081104-模式识别与智能系统  

梁晓坤  博士研究生  081203-计算机应用技术  

李在林  硕士研究生  085208-电子与通信工程  

杨洁  硕士研究生  085211-计算机技术  

欧阳效芸  硕士研究生  085210-控制工程  

刁颂辉  硕士研究生  085208-电子与通信工程  

乐美琰  硕士研究生  085210-控制工程  

李文  硕士研究生  085211-计算机技术