发表论文
[1] Yue, Meiyan, Xue, Xiaoguang, Wang, Zhanyu, Lambo, Ricardo Lewis, Zhao, Wei, Xie, Yaoqin, Cai, Jing, Qin, Wenjian. Dose prediction via distance-guided deep learning: Initial development for nasopharyngeal carcinoma radiotherapy. RADIOTHERAPY AND ONCOLOGY[J]. 2022, 170: 198-204, http://dx.doi.org/10.1016/j.radonc.2022.03.012.[2] Li, Wen, Kazemifar, Samaneh, Bai, Ti, Nguyen, Dan, Weng, Yaochung, Li, Yafen, Xia, Jun, Xiong, Jing, Xie, Yaoqin, Owrangi, Amir, Jiang, Steve. Synthesizing CT images from MR images with deep learning: model generalization for different datasets through transfer learning. BIOMEDICAL PHYSICS & ENGINEERING EXPRESS[J]. 2021, 7(2): [3] Yongdong Zhuang, Yaoqin Xie, Luhua Wang, Shaomin Huang, LiXin Chen, Yuenan Wang. DVH Prediction for VMAT in NPC with GRU-RNN: An Improved Method by Considering Biological Effects. BIOMED RESEARCH INTERNATIONAL[J]. 2021, 2021: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7837766/.[4] Wu, Jianan, Xie, Yaoqin, Ding, Zhen, Li, Feipeng, Wang, Luhua. Monte Carlo study of TG-43 dosimetry parameters of GammaMed Plus high dose rate Ir-192 brachytherapy source using TOPAS. JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS[J]. 2021, 22(6): 146-153, http://dx.doi.org/10.1002/acm2.13252.[5] Ouyang, Xiaoyun, Liang, Xiaokun, Xie, Yaoqin. Preliminary Feasibility Study of Imaging Registration Between Supine and Prone Breast CT in Breast Cancer Radiotherapy Using Residual Recursive Cascaded Networks. IEEE ACCESS[J]. 2021, 9: 3315-3325, https://doaj.org/article/1f8ea299bab046fb81459809153b64e6.[6] Li, Na, Zhou, Shoujun, Zhao, Gang, Zhang, Zhicheng, Xie, Yaoqin, Liang, Xiaokun. Iterative stripe artifact correction framework for TOF-MRA. COMPUTERS IN BIOLOGY AND MEDICINE[J]. 2021, 134: http://dx.doi.org/10.1016/j.compbiomed.2021.104456.[7] Xue, Yi, Qin, Wenjian, Luo, Chen, Yang, Pengfei, Jiang, Yangkang, Tsui, Tiffany, He, Hongjian, Li Wang, Qin, Jiale, Xie, Yaoqin, Niu, Tianye. Multi-Material Decomposition for Single Energy CT Using Material Sparsity Constraint. IEEE TRANSACTIONS ON MEDICAL IMAGING[J]. 2021, 40(5): 1303-1318, http://dx.doi.org/10.1109/TMI.2021.3051416.[8] Jiang, Yuming, Liang, Xiaokun, Wang, Wei, Chen, Chuanli, Yuan, Qingyu, Zhang, Xiaodong, Li, Na, Chen, Hao, Yu, Jiang, Xie, Yaoqin, Xu, Yikai, Zhou, Zhiwei, Li, Guoxin, Li, Ruijiang. Noninvasive Prediction of Occult Peritoneal Metastasis in Gastric Cancer Using Deep Learning. JAMA NETWORK OPEN[J]. 2021, 4(1): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7786251/.[9] Jiang, Yuming, Liang, Xiaokun, Han, Zhen, Wang, Wei, Xi, Sujuan, Li, Tuanjie, Chen, Chuanli, Yuan, Qingyu, Li, Na, Yu, Jiang, Xie, Yaoqin, Xu, Yikai, Zhou, Zhiwei, Poultsides, George A, Li, Guoxin, Li, Ruijiang. Radiographical assessment of tumour stroma and treatment outcomes using deep learning: a retrospective, multicohort study. LANCET DIGITAL HEALTH[J]. 2021, 3(6): E371-E382, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000654685600008.[10] Tian, Yinli, Xue, Fei, Lambo, Ricardo, He, Jiahui, An, Chao, Xie, Yaoqin, Cao, Hailin, Qin, Wenjian. Fully-automated functional region annotation of liver via a 2.5D class-aware deep neural network with spatial adaptation. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE[J]. 2021, 200: http://dx.doi.org/10.1016/j.cmpb.2020.105818.[11] Li, Wen, Li, Yafen, Qin, Wenjian, Liang, Xiaokun, Xu, Jianyang, Xiong, Jing, Xie, Yaoqin. Magnetic resonance image (MRI) synthesis from brain computed tomography (CT) images based on deep learning methods for magnetic resonance (MR)-guided radiotherapy. QUANTITATIVE IMAGING IN MEDICINE AND SURGERY[J]. 2020, 10(6): 1223-1236, http://dx.doi.org/10.21037/qims-19-885.[12] Diao, Songhui, Hou, Jiaxin, Yu, Hong, Zhao, Xia, Sun, Yikang, Lambo, Ricardo Lewis, Xie, Yaoqin, Liu, Lei, Qin, Wenjian, Luo, Weiren. Computer-Aided Pathologic Diagnosis of Nasopharyngeal Carcinoma Based on Deep Learning. AMERICAN JOURNAL OF PATHOLOGY[J]. 2020, 190(8): 1691-1700, http://dx.doi.org/10.1016/j.ajpath.2020.04.008.[13] Yafen Li, Wen Li, Jing Xiong, Jun Xia, Yaoqin Xie. Comparison of Supervised and Unsupervised Deep Learning Methods for Medical Image Synthesis between Computed Tomography and Magnetic Resonance Images. BIOMED RESEARCH INTERNATIONAL[J]. 2020, 2020: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7661122/.[14] 董国亚, 宋立明, 李雅芬, 李文, 谢耀钦. 基于深度学习的跨模态医学图像转换. 中国医学物理学杂志[J]. 2020, 37(10): 1335-1339, http://lib.cqvip.com/Qikan/Article/Detail?id=7103141287.[15] Zou, Lian, Chen, Xin, Xu, Chuan, Xing, Lei, Xie, Yaoqin. Design and Preliminary Experience of a Tele-Radiotherapy System for a Medical Alliance in China. TELEMEDICINE AND E-HEALTH[J]. 2020, 26(2): 235-243, https://www.webofscience.com/wos/woscc/full-record/WOS:000461790400001.[16] Li, Junmeng, Zhang, Chao, Wei, Jia, Zheng, Peiming, Zhang, Hui, Xie, Yi, Bai, Junwei, Zhu, Zhonglin, Zhou, Kangneng, Liang, Xiaokun, Xie, Yaoqin, Qin, Tao. Intratumoral and Peritumoral Radiomics of Contrast-Enhanced CT for Prediction of Disease-Free Survival and Chemotherapy Response in Stage II/III Gastric Cancer. FRONTIERS IN ONCOLOGY[J]. 2020, 10: https://doaj.org/article/3a9ed4fe45a741d58a6d13f9c22d6a5a.[17] Liu, Yanjun, He, Yini, Li, Rongmao, Yu, Shaode, Xu, Jianyang, Xie, Yaoqin. Coupled Temporal Fluctuation and Global Signal Synchronization of Spontaneous Brain Activity in Hypnosis for Respiration Control: An fMRI Study. NEUROSCIENCE[J]. 2020, 429: 56-67, http://dx.doi.org/10.1016/j.neuroscience.2019.12.032.[18] Zhang, Zhicheng, Liang, Xiaokun, Qin, Wenjian, Yu, Shaode, Xie, Yaoqin. matFR: a MATLAB toolbox for feature ranking. BIOINFORMATICS[J]. 2020, 36(19): 4968-4969, http://dx.doi.org/10.1093/bioinformatics/btaa621.[19] Shibin Wu, Pin He, Shaode Yu, Shoujun Zhou, Jun Xia, Yaoqin Xie. To Align Multimodal Lumbar Spine Images via Bending Energy Constrained Normalized Mutual Information. BIOMED RESEARCH INTERNATIONAL[J]. 2020, 2020: https://doaj.org/article/55a56669f56e41f180277f174a25f8f4.[20] Xia, Yufa, Xie, Yaoqin. A Novel Wearable Electrocardiogram Classification System Using Convolutional Neural Networks and Active Learning. IEEE ACCESS[J]. 2019, 7: 7989-8001, https://doaj.org/article/47ce41c0df2c470a90c6a1d5ffd0ee2c.[21] Liang, Xiaokun, Jiang, Yangkang, Xie, Yaoqin, Niu, Tianye. Quantitative Cone-Beam CT Imaging in Radiotherapy: Parallel Computation and Comprehensive Evaluation on the TrueBeam System. IEEE ACCESS[J]. 2019, 7: 66226-66233, https://doaj.org/article/9c8861c050f349aabc14e9404a1130af.[22] Yu Shaode, Liu Lingling, Wang Zhaoyang, Dai Guangzhe, Xie Yaoqin. Transferring deep neural networks for the differentiation of mammographic breast lesions. SCIENCE CHINA. TECHNOLOGICAL SCIENCES[J]. 2019, 62(3): 441-447, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=6465601&detailType=1.[23] Liang, Xiaokun, Jiang, Yangkang, Zhao, Wei, Zhang, Zhicheng, Luo, Chen, Xiong, Jing, Yu, Shaode, Yang, Xiaoming, Sun, Jihong, Zhou, Qinxuan, Niu, Tianye, Xie, Yaoqin. Scatter correction for a clinical cone-beam CT system using an optimized stationary beam blocker in a single scan. MEDICAL PHYSICS[J]. 2019, 46(7): 3165-3179, https://www.webofscience.com/wos/woscc/full-record/WOS:000475671900022.[24] Liang, Xiaokun, Li, Na, Zhang, Zbicheng, Yu, Shaode, Qin, Wenjian, Li, Yafen, Chen, Shupeng, Zhang, Huailing, Xie, Yaoqin. Shading correction for volumetric CT using deep convolutional neural network and adaptive filter. QUANTITATIVE IMAGING IN MEDICINE AND SURGERY[J]. 2019, 9(7): 1242-1254, https://www.webofscience.com/wos/woscc/full-record/WOS:000477984600005.[25] Dai, Zhenhui, Zhang, Hua, Xie, Yaoqin, Zhu, Lin, Zhang, Bailin, Cai, Chunya, Li, Fei, Yang, Geng, Jin, Huaizhi, Wang, Xuetao. Validation of Geometric and Dosimetric Accuracy of Edge Accelerator Gating With Electromagnetic Tracking: A Phantom Study. IEEE ACCESS[J]. 2019, 7: 127693-127702, https://doaj.org/article/8e465dae76ad4df28571a5adc83f09b0.[26] Zou, Lian, Yu, Shaode, Meng, Tiebao, Zhang, Zhicheng, Liang, Xiaokun, Xie, Yaoqin. A Technical Review of Convolutional Neural Network-Based Mammographic Breast Cancer Diagnosis. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE[J]. 2019, 2019: https://doaj.org/article/453a17a0d5e14a589e725530fb3c8aab.[27] Zhang, Zhicheng, Liang, Xiaokun, Dong, Xu, Xie, Yaoqin, Cao, Guohua. A Sparse-View CT Reconstruction Method Based on Combination of DenseNet and Deconvolution. IEEE TRANSACTIONS ON MEDICAL IMAGING[J]. 2018, 37(6): 1407-1417, http://dx.doi.org/10.1109/TMI.2018.2823338.[28] Chen, Ken, Wang, Cheng, Xiong, Jing, Xie, Yaoqin. GPU based parallel acceleration for fast C-arm cone-beam CT reconstruction. BIOMEDICAL ENGINEERING ONLINE[J]. 2018, 17(1): http://ir.siat.ac.cn:8080/handle/172644/14237.[29] Liu, Yanjun, Qin, Wenjian, Li, Rongmao, Yu, Shaode, He, Yini, Xie, Yaoqin. Investigation on the Neural Mechanism of Hypnosis-Based Respiratory Control Using Functional MRI. CONTRAST MEDIA & MOLECULAR IMAGING[J]. 2018, http://ir.siat.ac.cn:8080/handle/172644/14251.[30] Huang, Pu, Yu, Gang, Kapp, Daniel S, Bian, XueFeng, Ma, ChangSheng, Li, HongSheng, Chen, JinHu, Liang, YueQiang, Zhang, Yang, Qin, ShaoHua, Xie, YaoQin, Yang, Yong, Yin, Yong, Xing, Lei, Li, DengWang. Cumulative dose of radiation therapy of hepatocellular carcinoma patients and its deterministic relation to radiation-induced liver disease. MEDICAL DOSIMETRY[J]. 2018, 43(3): 258-266, http://dx.doi.org/10.1016/j.meddos.2017.10.002.[31] Zhao, Shen, Gao, Zhifan, Zhang, Heye, Xie, Yaoqin, Luo, Jianwen, Ghista, Dhanjoo, Wei, Zhanghong, Bi, Xiaojun, Xiong, Huahua, Xu, Chenchu, Li, Shuo. Robust Segmentation of Intima-Media Borders With Different Morphologies and Dynamics During the Cardiac Cycle. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS[J]. 2018, 22(5): 1571-1582, http://www.corc.org.cn/handle/1471x/2202730.[32] Wang, Ran, Liang, Xiaokun, Zhu, Xuanyu, Xie, Yaoqin. A Feasibility of Respiration Prediction Based on Deep Bi-LSTM for Real-Time Tumor Tracking. IEEE ACCESS[J]. 2018, 6: 51262-51268, https://doaj.org/article/4d136c4d56e54c928f8462235dc257c7.[33] Wen, Tiexiang, Yang, Feng, Gu, Jia, Chen, Shifu, Wang, Lei, Xie, Yaoqin. An adaptive kernel regression method for 3D ultrasound reconstruction using speckle prior and parallel GPU implementation. NEUROCOMPUTING[J]. 2018, 275: 208-223, http://dx.doi.org/10.1016/j.neucom.2017.06.014.[34] 邹炼, 张薇莎, 刘湘乡, 谢朝, 谢耀钦. 瓦里安放疗软件云平台移植研究. 中国医疗器械杂志[J]. 2017, 41(5): 330-333, http://lib.cqvip.com/Qikan/Article/Detail?id=673381656.[35] 刘舒婷, 付楠, 余绍德, 张立, 谢耀钦. 应用于增强/虚拟现实中的模型简化. 集成技术[J]. 2017, 6(2): 73-80, http://lib.cqvip.com/Qikan/Article/Detail?id=671811980.[36] Wen, Tiexiang, Li, Ling, Zhu, Qingsong, Qin, Wenjian, Gu, Jia, Yang, Feng, Xie, Yaoqin. GPU-accelerated Kernel Regression Reconstruction for Freehand 3D Ultrasound Imaging. ULTRASONIC IMAGING[J]. 2017, 39(4): 240-259, http://dx.doi.org/10.1177/0161734616689464.[37] Wu, Shibin, Yu, Shaode, Zhuang, Ling, Wei, Xinhua, Sak, Mark, Duric, Neb, Hu, Jiani, Xie, Yaoqin. Automatic Segmentation of Ultrasound Tomography Image (vol 2017, 2059036, 2017). BIOMED RESEARCH INTERNATIONALnull. 2017, 2017: https://www.webofscience.com/wos/woscc/full-record/WOS:000414294300001.[38] Wang Qiyao, Zhang Lijuan, Xie Yaoqin, Zheng Hairong, Zhou Wu, IEEE. MALIGNANCY CHARACTERIZATION OF HEPATOCELLULAR CARCINOMA USING HYBRID TEXTURE AND DEEP FEATURES. 2017 24TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)null. 2017, 4162-4166, [39] Wu, Shibin, Yu, Shaode, Zhuang, Ling, Wei, Xinhua, Sak, Mark, Duric, Neb, Hu, Jiani, Xie, Yaoqin. Automatic Segmentation of Ultrasound Tomography Image. BIOMED RESEARCH INTERNATIONAL[J]. 2017, 2017: https://doaj.org/article/76daa354fa6d4ccc8b009efc3467802b.[40] Liang, Xiaokun, Zhang, Zhicheng, Niu, Tianye, Yu, Shaode, Wu, Shibin, Li, Zhicheng, Zhang, Huailing, Xie, Yaoqin. Iterative image-domain ring artifact removal in cone-beam CT. PHYSICS IN MEDICINE AND BIOLOGY[J]. 2017, 62(13): 5276-5292, http://dx.doi.org/10.1088/1361-6560/aa7017.[41] 代广喆, 王朝阳, 陈倩, 余绍德, 谢耀钦. 基于仿真脑磁共振数据的信噪比在医学影像质量量化上的一致性研究. 集成技术[J]. 2017, 6(2): 41-48, http://lib.cqvip.com/Qikan/Article/Detail?id=671811976.[42] 张志诚, 梁晓坤, 朱轩玉, 李维振, 谢耀钦. 一种新型显微CT系统设计. 集成技术[J]. 2017, 6(2): 66-72, http://lib.cqvip.com/Qikan/Article/Detail?id=671811979.[43] 邹炼, 胡金有, 刘湘乡, 谢朝, 谢耀钦. REDCap软件在放疗质控中的应用. 中国医疗器械杂志[J]. 2017, 41(4): 248-250, http://lib.cqvip.com/Qikan/Article/Detail?id=672854364.[44] 李雅芬, 邹炼, 谢耀钦, 熊璟. 一种蛇形放疗机器人的治疗计划系统软件平台. 中国医疗器械杂志[J]. 2017, 41(6): 391-394, http://lib.cqvip.com/Qikan/Article/Detail?id=673923300.[45] Yu, Shaode, Wu, Shibin, Wang, Lei, Jiang, Fan, Xie, Yaoqin, Li, Leida. A shallow convolutional neural network for blind image sharpness assessment. PLOS ONE[J]. 2017, 12(5): http://dx.doi.org/10.1371/journal.pone.0176632.[46] Yu, Shaode, Wu, Shibin, Zhuang, Ling, Wei, Xinhua, Sak, Mark, Neb, Duric, Hu, Jiani, Xie, Yaoqin. Efficient Segmentation of a Breast in B-Mode Ultrasound Tomography Using Three-Dimensional GrabCut (GC3D). SENSORS[J]. 2017, 17(8): http://dx.doi.org/10.3390/s17081827.[47] 范阳阳, 倪倩, 温铁祥, 辜嘉, 王磊, 谢耀钦, 刘金根. Freehand三维超声体数据重建的最新研究进展. 中国生物医学工程学报[J]. 2017, 36(1): 92-102, http://lib.cqvip.com/Qikan/Article/Detail?id=671379674.[48] 周芹, 茹国宝, 余绍德, 谢耀钦. 基于GrabCut的三维医学图像分割. 电视技术[J]. 2016, 40(2): 27-32, http://lib.cqvip.com/Qikan/Article/Detail?id=667958762.[49] 杨瑞杰, 谢耀钦, 王俊杰. 金纳米颗粒在恶性肿瘤放疗中的基础与临床应用研究进展. 中华放射肿瘤学杂志[J]. 2016, 25(2): 190-193, http://lib.cqvip.com/Qikan/Article/Detail?id=667923723.[50] Wen, Tiexiang, Gu, Jia, Li, Ling, Qin, Wenjian, Wang, Lei, Xie, Yaoqin. Nonlocal Total-variation-based Speckle Filtering for Ultrasound Images. ULTRASONIC IMAGING[J]. 2016, 38(4): 254-275, https://www.webofscience.com/wos/woscc/full-record/WOS:000377829200002.[51] 杨瑞杰, 张喜乐, 谢耀钦, 王俊杰. Axesse加速器实施VMAT的主要性能测试. 中华放射肿瘤学杂志[J]. 2016, 25(3): 260-265, http://lib.cqvip.com/Qikan/Article/Detail?id=668076243.[52] Zhang, Zhicheng, Yu, Shaode, Liang, Xiaokun, Zhu, Yanchun, Xie, Yaoqin. A novel design of ultrafast micro-CT system based on carbon nanotube: A feasibility study in phantom. PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS[J]. 2016, 32(10): 1302-1307, http://dx.doi.org/10.1016/j.ejmp.2016.06.016.[53] 李硕, 朱艳春, 高嵩, 谢耀钦. 自门控心脏磁共振成像技术的发展与应用. 中国医学物理学杂志[J]. 2016, 33(11): 1134-1143, http://lib.cqvip.com/Qikan/Article/Detail?id=670644504.[54] Yu, Shaode, Wu, Shibin, Zhang, Zhicheng, Chen, Yili, Xie, Yaoqin. Explicit vascular reconstruction based on adjacent vector projection. BIOENGINEERED[J]. 2016, 7(5): 365-371, https://www.webofscience.com/wos/woscc/full-record/WOS:000385802400012.[55] 李硕, 王磊, 朱艳春, 杨洁, 谢耀钦, 付楠, 王乙, 高嵩. Accuracy and effectiveness of self-gating signals in free-breathing three-dimensional cardiac cine magnetic resonance imaging. 中国物理B:英文版[J]. 2016, 25(12): 543-548, http://lib.cqvip.com/Qikan/Article/Detail?id=670770675.[56] 谭建豪, 张文涛, 李晓龙, 余绍德, 谢耀钦. 一种改进的3D血管增强算法. 计算机工程与应用[J]. 2016, 52(15): 153-157, http://lib.cqvip.com/Qikan/Article/Detail?id=7000005559.[57] 丁兰洲, 张怀岺, 梁晓坤, 谢耀钦. 基于体表标志点的肿瘤呼吸运动跟踪方法. 中国医学物理学杂志[J]. 2016, 33(4): 403-407, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=5691353&detailType=1.[58] Yanchun Zhu, Shuo Li, Jie Yang, Rongmao Li, Zhicheng Zhang, Shaode Yu, Yaoqin Xie. Nonlinear profile order for 3D hybrid radial acquisition applied to self-gated free-breathing cardiac cine MRI. JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE. 2016, 18(Suppl 1): http://dx.doi.org/10.1186/1532-429X-18-S1-P23.[59] Zhao, Wei, Niu, Tianye, Xing, Lei, Xie, Yaoqin, Xiong, Guanglei, Elmore, Kimberly, Zhu, Jun, Wang, Luyao, Min, James K. Using edge-preserving algorithm with non-local mean for significantly improved image-domain material decomposition in dual-energy CT. PHYSICS IN MEDICINE AND BIOLOGY[J]. 2016, 61(3): 1332-1351, https://www.webofscience.com/wos/woscc/full-record/WOS:000369517000025.[60] Yu ShaoDe, Wu ShiBin, Wang HaoYu, Wei XinHua, Chen Xin, Pan WanLong, Hu Jiani, Xie YaoQin. Linear-fitting-based similarity coefficient map for tissue dissimilarity analysis in T-2*-w magnetic resonance imaging. CHINESE PHYSICS B[J]. 2015, 24(12): https://www.webofscience.com/wos/woscc/full-record/WOS:000366977800092.[61] Zhu, Yanchun, Liu, Jing, Weinsaft, Jonathan, Spincemaille, Pascal, Nguyen, Thanh D, Prince, Martin R, Bao, Shanglian, Xie, Yaoqin, Wang, Yi. Free-Breathing 3D Imaging of Right Ventricular Structure and Function Using Respiratory and Cardiac Self-Gated Cine MRI. BIOMED RESEARCH INTERNATIONAL[J]. 2015, 2015: https://doaj.org/article/c3ce4a10fa46412d88e262793e9dcd9c.[62] Wei, XinHua, Ren, JiLiang, Liu, WenHua, Yang, RuiMeng, Xu, XiangDong, Liu, Jun, Guo, YongMei, Yu, ShaoDe, Lai, LiSha, Xie, YaoQin, Jiang, XinQing. Increased interhemispheric functional connectivity in college students with non-clinical depressive symptoms in resting state. NEUROSCIENCE LETTERS[J]. 2015, 589: 67-72, http://dx.doi.org/10.1016/j.neulet.2015.01.034.[63] Fan, Zhongyin, Xie, Yaoqin. A block-wise approximate parallel implementation for ART algorithm on CUDA-enabled GPU. BIO-MEDICAL MATERIALS AND ENGINEERING[J]. 2015, 26: S1027-S1035, https://www.webofscience.com/wos/woscc/full-record/WOS:000361671800116.[64] 范忠银, 王建军, 朱青松, 谢耀钦, 邢磊. 配准算法对PCA单幅投影肺部重建的影响. 集成技术[J]. 2015, 62-68, http://lib.cqvip.com/Qikan/Article/Detail?id=665101510.[65] 伍世宾, 王玥, 谢耀钦. 基于多尺度带限的自适应直方图均衡和数学形态学的医学X射线图像对比度增强算法. 集成技术[J]. 2014, 38-45, http://lib.cqvip.com/Qikan/Article/Detail?id=48648822.[66] 周武, 谢耀钦, 田洋洋. 影像引导放疗中交互式肿瘤靶区勾画方法. 集成技术[J]. 2014, 68-76, http://lib.cqvip.com/Qikan/Article/Detail?id=48648825.[67] 周寿军, 贾富仓, 胡庆茂, 谢耀钦, 辜嘉, 尚鹏. 基于 Markov 随机场的脑部三维磁共振血管造影数据的分割. 集成技术[J]. 2014, 27-37, http://lib.cqvip.com/Qikan/Article/Detail?id=48648821.[68] Yu Shaode, Zhang Wentao, Wu Shibin, Li Xiaolong, Xie Yaoqin, Yuan B, Ruan Q, Tang X. APPLICATIONS OF EDGE PRESERVATION RATIO IN IMAGE PROCESSING. 2014 12TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP)null. 2014, 698-702, [69] Zhu Qingsong, Wu Di, Xie Yaoqin, Wang Lei, IEEE. Quick Shift Segmentation Guided Single Image Haze Removal Algorithm. 2014 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS IEEE-ROBIO 2014null. 2014, 113-117, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000380399500019.[70] Li, ZhiCheng, Li, Kai, Zhan, HaiLun, Chen, Ken, Chen, MingMin, Xie, YaoQin, Wang, Lei. Augmenting interventional ultrasound using statistical shape model for guiding percutaneous nephrolithotomy: Initial evaluation in pigs. NEUROCOMPUTING[J]. 2014, 144: 58-69, http://dx.doi.org/10.1016/j.neucom.2014.01.059.[71] Wu Di, Zhu Qingsong, Wang Jianjun, Xie Yaoqin, Wang Lei, Xu G, Qiao Y, Wu X. Image Haze Removal: Status, Challenges and Prospects. 2014 4TH IEEE INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY (ICIST)null. 2014, 492-497, [72] Zhou, Wu, Zhang, Lijuan, Xie, Yaoqin, Liang, Changhong. A Novel Technique for Prealignment in Multimodality Medical Image Registration. BIOMED RESEARCH INTERNATIONAL[J]. 2014, 2014: https://doaj.org/article/b389e95d8482400fb512df5b5585d601.[73] Mai Jiaming, Zhu Qingsong, Wu Di, Xie Yaoqin, Wang Lei, IEEE. Back Propagation Neural Network Dehazing. 2014 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS IEEE-ROBIO 2014null. 2014, 1433-1438, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000380399500238.[74] Zhou, Wu, Xie, Yaoqin. Interactive contour delineation and refinement in treatment planning of image-guided radiation therapy. JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS[J]. 2014, 15(1): 141-166, https://www.webofscience.com/wos/woscc/full-record/WOS:000330766700014.[75] Zhu, Qingsong, Wen, Tiexiang, Xie, Yaoqin, Gu, Jia, Wang, Lei. Contour-Based Image Registration using Bipartite Graph Matching with Munkres Algorithm. APPLIED MATHEMATICS & INFORMATION SCIENCES[J]. 2014, 8(1): 263-271, https://www.webofscience.com/wos/woscc/full-record/WOS:000331386500032.[76] 余绍德, 伍世宾, 张文涛, 谢耀钦. 一种改进的组织相似性映射图方法. 集成技术[J]. 2014, 86-94, http://lib.cqvip.com/Qikan/Article/Detail?id=48648827.[77] Zhu, Qingsong, Shao, Ling, Song, Zhan, Xie, Yaoqin, IEEE. SUPERCUT: AN ACCURATE AND EFFECTIVE INTERACTIVE IMAGE SEGMENTATION ALGORITHM. 2013 20TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2013)null. 2013, 4269-4272, [78] An, Mou, Xie, Yaoqin. A Novel CT Imaging System with Adjacent Double X-Ray Sources. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE[J]. 2013, 2013: http://www.irgrid.ac.cn/handle/1471x/1168558.[79] Xie, Yaoqin, Xing, Lei, Gu, Jia, Liu, Wu. Tissue feature-based intra-fractional motion tracking for stereoscopic x-ray image guided radiotherapy. PHYSICS IN MEDICINE AND BIOLOGY[J]. 2013, 58(11): 3615-3630, https://www.webofscience.com/wos/woscc/full-record/WOS:000318966200011.[80] Wen, Tiexiang, Zhu, Qingsong, Qin, Wenjian, Li, Ling, Yang, Fan, Xie, Yaoqin, Gu, Jia. An accurate and effective FMM-based approach for freehand 3D ultrasound reconstruction. BIOMEDICAL SIGNAL PROCESSING AND CONTROL[J]. 2013, 8(6): 645-656, http://dx.doi.org/10.1016/j.bspc.2013.05.009.[81] Zhu, Qingsong, Shao, Ling, Li, Qi, Xie, Yaoqin, IEEE. RECURSIVE KERNEL DENSITY ESTIMATION FOR MODELING THE BACKGROUND AND SEGMENTING MOVING OBJECTS. 2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)null. 2013, 1769-1772, [82] Yang, Yuhan, Zhou, Shoujun, Shang, Peng, Qi, En, Wu, Shibin, Xie, Yaoqin. Contour Propagation Using Feature-Based Deformable Registration for Lung Cancer. BIOMED RESEARCH INTERNATIONAL[J]. 2013, 2013: http://dx.doi.org/10.1155/2013/701514.[83] Yu, Shaode, Wu, Shibin, Xie, Yaoqin. Automatic Mapping Extraction from Multiecho T2-Star Weighted Magnetic Resonance Images for Improving Morphological Evaluations in Human Brain. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE[J]. 2013, 2013: https://www.webofscience.com/wos/woscc/full-record/WOS:000327969400001.[84] Zhou, Wu, Xie, Yaoqin. Interactive Medical Image Segmentation Using Snake and Multiscale Curve Editing. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE[J]. 2013, 2013: https://doaj.org/article/371eb70486644e618a6ebaba38ae21c4.[85] Zhu, Qingsong, Ye, Ricang, Shao, Ling, Li, Qi, Xie, Yaoqin, IEEE. A NOVEL THIN ELONGATED OBJECTS SEGMENTATION BASED ON FUZZY CONNECTEDNESS AND GMM LEARNING. 2013 20TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2013)null. 2013, 4273-4276, [86] Wu, Shibin, Yu, Shaode, Yang, Yuhan, Xie, Yaoqin. Feature and Contrast Enhancement of Mammographic Image Based on Multiscale Analysis and Morphology. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE[J]. 2013, 2013: https://doaj.org/article/3adcd751b5f8462cbf6f3dfbea964183.[87] Wang HaoYu, Hu Jiani, Xie YaoQin, Chen Jie, Amy, Yu, Wei XinHua, Dai YongMing, Li Meng, Bao ShangLian, Haacke, E M. Feasibility of similarity coefficient map for improving morphological evaluation of T-2* weighted MRI for renal cancer. CHINESE PHYSICS B[J]. 2013, 22(3): https://www.webofscience.com/wos/woscc/full-record/WOS:000316187100090.[88] Zhu, Qingsong, Zhang, Zhanpeng, Song, Zhan, Xie, Yaoqin, Wang, Lei. A Novel Nonlinear Regression Approach for Efficient and Accurate Image Matting. IEEE SIGNAL PROCESSING LETTERS[J]. 2013, 20(11): 1078-1081, http://dx.doi.org/10.1109/LSP.2013.2274874.[89] Zhang, Rui, Zhou, Wu, Li, Yanjie, Yu, Shaode, Xie, Yaoqin. Nonrigid Registration of Lung CT Images Based on Tissue Features. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE[J]. 2013, 2013: http://gooa.las.ac.cn/external/index?type=-1&pid=1302688.[90] Zhou, Wu, Xie, Yaoqin. Interactive Multigrid Refinement for Deformable Image Registration. BIOMED RESEARCH INTERNATIONAL[J]. 2013, 2013: https://doaj.org/article/eff7e066a9354de19537635125c23a20.[91] Zhou, Shoujun, Chen, Wufan, Jia, Fucang, Hu, Qingmao, Xie, Yaoqin, Chen, Mingyang, Wu, Jianhuang. Segmentation of brain magnetic resonance angiography images based on MAP-MRF with multi-pattern neighborhood system and approximation of regularization coefficient. MEDICAL IMAGE ANALYSIS[J]. 2013, 17(8): 1220-1235, http://dx.doi.org/10.1016/j.media.2013.08.005.[92] 韩念龙, 谢耀钦, 安谋, 方康玲. 基于C臂的三维追踪和定位方法综述. 集成技术[J]. 2013, 83-86, http://lib.cqvip.com/Qikan/Article/Detail?id=74677473504849514853484953.[93] Zhu, Qingsong, Gu, Jia, Xie, Yaoqin. Deformable Image Registration with Inclusion of Autodetected Homologous Tissue Features. SCIENTIFIC WORLD JOURNAL[J]. 2012, 1-8, https://doaj.org/article/44535495d4004e56a47307f783c54f72.[94] 张展鹏, 朱青松, 谢耀钦. 数字抠像的最新研究进展. 自动化学报[J]. 2012, 38(10): 1571-1584, http://lib.cqvip.com/Qikan/Article/Detail?id=43535676.[95] Zhu, Qingsong, Song, Zhan, Xie, Yaoqin, Wang, Lei. A Novel Recursive Bayesian Learning-Based Method for the Efficient and Accurate Segmentation of Video With Dynamic Background. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2012, 21(9): 3865-3876, https://www.webofscience.com/wos/woscc/full-record/WOS:000307896800004.[96] 张晶, 杨平, 谢耀钦, 林宛华, 张元亭. 超声图像中基于经验模态分解自动提取内-中膜厚度. 中国医学影像技术[J]. 2012, 28(7): 1387-1391, http://lib.cqvip.com/Qikan/Article/Detail?id=42579617.[97] Xiong, Guanglei, Chen, Chuangzhen, Chen, Jianzhou, Xie, Yaoqin, Xing, Lei. Tracking the motion trajectories of junction structures in 4D CT images of the lung. PHYSICS IN MEDICINE AND BIOLOGY[J]. 2012, 57(15): 4905-4930, http://dx.doi.org/10.1088/0031-9155/57/15/4905.[98] 邢磊, 陈艳, 辜嘉, 牛田野, 戎懿, 王乐晶, 温宁, 谢耀钦, 余绍德, 郑波, 郑国焱, 周寿军. 内照射放疗机器人的研究. 集成技术[J]. 2012, 35-39, http://lib.cqvip.com/Qikan/Article/Detail?id=3000000067.[99] Zhu, Qingsong, Zhang, Zhanpeng, Xie, Yaoqin. A Recursive Kernel Density Learning Framework for Robust Foreground Object Segmentation. APPLIED MATHEMATICS & INFORMATION SCIENCES[J]. 2012, 6(2): 363-369, https://www.webofscience.com/wos/woscc/full-record/WOS:000303178900026.[100] Yang, Fan, Qin, Wenjian, Xie, Yaoqin, Wen, Tiexiang, Gu, Jia. A shape-optimized framework for kidney segmentation in ultrasound images using NLTV denoising and DRLSE. BIOMEDICAL ENGINEERING ONLINE[J]. 2012, 11(1): 82-82, https://doaj.org/article/044ed2e750f84741b1f3ec8f05360c7e.[101] 谢耀钦, 王丽莉, 戚恩. 基于肺部不连续运动的全变差正则化动态配准研究. 集成技术[J]. 2012, 55-60, http://lib.cqvip.com/Qikan/Article/Detail?id=3000000071.[102] 王丽莉, 朱青松, 王振, 谢耀钦. 多模态医学图像配准技术研究进展. 国际生物医学工程杂志[J]. 2012, 35(4): 230-233, http://lib.cqvip.com/Qikan/Article/Detail?id=43260015.[103] 卢广文, 谢耀钦. 基于控制体的两步法图像配准. 南方医科大学学报[J]. 2011, 31(11): 1801-1805, http://lib.cqvip.com/Qikan/Article/Detail?id=39914607.[104] Xie, Yaoqin, Chao, Ming, Xiong, Guanglei. Deformable Image Registration of Liver With Consideration of Lung Sliding Motion. MEDICAL PHYSICS[J]. 2011, 38(10): 5351-5361, http://dx.doi.org/10.1118/1.3633902.[105] 卢广文, 谢耀钦. 基于控制体的两步法图像配准. 南方医科大学学报[J]. 2011, 31(11): 1801-1805, http://lib.cqvip.com/Qikan/Article/Detail?id=39914607.[106] Ma, Yunzhi, Chang, Daniel, Keall, Paul, Xie, Yiaoqin, Park, Jaeyoon, Suh, TaeSuk, Xing, Lei. Inverse planning for four-dimensional (4D) volumetric modulated arc therapy. MEDICAL PHYSICS[J]. 2010, 37(11): 5627-5633, http://dx.doi.org/10.1118/1.3497271.[107] Zhu, Lei, Wang, Jing, Xie, Yaoqin, Starman, Jared, Fahrig, Rebecca, Xing, Lei. A Patient Set-up Protocol Based on Partially Blocked Cone-beam CT. TECHNOLOGY IN CANCER RESEARCH & TREATMENT[J]. 2010, 9(2): 191-198, http://dx.doi.org/10.1177/153303461000900208.[108] Chao, Ming, Xie, Yaoqin, Moros, Eduardo G, Le, QuynhThu, Xing, Lei. Image-based modeling of tumor shrinkage in head and neck radiation therapy. MEDICAL PHYSICS[J]. 2010, 37(5): 2351-2358, https://www.webofscience.com/wos/woscc/full-record/WOS:000277242800043.[109] Zhu, Lei, Xie, Yaoqin, Wang, Jing, Xing, Lei. Scatter correction for cone-beam CT in radiation therapy. MEDICAL PHYSICS[J]. 2009, 36(6): 2258-2268, http://dx.doi.org/10.1118/1.3130047.[110] Xie, Yaoqin, Chao, Ming, Xing, Lei. TISSUE FEATURE-BASED AND SEGMENTED DEFORMABLE IMAGE REGISTRATION FOR IMPROVED MODELING OF SHEAR MOVEMENT OF LUNGS. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS[J]. 2009, 74(4): 1256-1265, http://dx.doi.org/10.1016/j.ijrobp.2009.02.023.[111] Xie, Yaoqin, Chao, Ming, Lee, Percy, Xing, Lei. Feature-based rectal contour propagation from planning CT to cone beam CT. MEDICAL PHYSICS[J]. 2008, 35(10): 4450-4459, http://dx.doi.org/10.1118/1.2975230.[112] Xie, Yaoqin, Djajaputra, David, King, Christopher R, Hossain, Sabbir, Ma, Lijun, Xing, Lei. Intrafractional motion of the prostate during hypofractionated radiotherapy. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS[J]. 2008, 72(1): 236-246, http://dx.doi.org/10.1016/j.ijrobp.2008.04.051.[113] Chao, Ming, Xie, Yaoqin, Xing, Lei. Auto-propagation of contours for adaptive prostate radiation therapy. PHYSICS IN MEDICINE AND BIOLOGY[J]. 2008, 53(17): 4533-4542, https://www.webofscience.com/wos/woscc/full-record/WOS:000258537000006.