中国仪器仪表学会医疗仪器分会理事，中国生物医学工程学会青年委员会副秘书长，国家药监局器械中心创新医疗器械特别审查专家，《图学学报》编委。

专注智能影像技术研究，以微创诊疗为目标，通过关键技术突破，构筑相关领域整体解决方案，内容涵盖应用基础研究到仪器系统研制。

主持1项国家重点研发计划项目、5项国家自然科学基金项目、1项国家重大科研装备研制项目子课题、1项山东省重大科技创新工程、2项江苏省重点研发计划项目、1项中国科学院科研装备研制项目、1项中科院国际合作项目等21项纵向科研项目。以第一完成人荣获江苏省科技奖（基础类）三等奖。

发表科技论文120多篇，以第一作者/通讯作者在医学综合领域柳叶刀旗下EClinicalMedicine、EBioMedicine，肿瘤领域Gastric Cancer、Lung Cancer、Journal of Neuro-Oncology，放射学领域Eur. Radiol.、J. Magn. Reson. Imaging，病理领域Brain Pathology，生物医学工程领域Pattern Recognit.、Artif. Intell. Med.、Comput. Meth. Programs Biomed.、Comput. Med. Imaging Graph.、Int. J. Med. Inform.,等期刊发表SCI收录论文60多篇；授权发明专利21项，美国专利1项；起草团体标准2项。

荣获“江苏省研究生导师类产业教授”、“首届中国科学技术大学科教融合学院优秀导师奖”等荣誉；培养的学生先后荣获“研究生国家奖学金”、“中国科学院院长奖”、“中国科学技术大学科教融合优秀研究生奖”等荣誉。

山东省“泰山产业领军人才”（2023）

江苏省研究生导师类产业教授（2023）

首届中国科学技术大学科教融合学院优秀导师奖（2021）

江苏省“333高层次人才培养工程”第二层次培养对象（2021）

泉城“5150”引才倍增计划创新人才（2019）

天津市中青年科技创新领军人才（2019）

江苏省高层次创新创业人才资助（2013）

江苏省“333高层次人才培养工程”第三层次培养对象（2013）

中国科学院“引进国外杰出人才”计划资助（2012）

苏州市高等院校、科研院所紧缺高层次人才引进资助（2011）

北京市优秀人才培养资助（2006）

(1) 基于智能影像计算的精准医疗：利用影像、基因、病理、生化等临床大数据，借助人工智能、数据分析挖掘和信息融合技术，开展疾病患病风险预测、智能辅助诊断及预后预测研究，为临床决策提供个性化解决方案。

(2) 手术导航及机器人：融合术前、术中医学结构影像或分子影像（包括内镜图像）信息，辅助空间定位技术（包括机器人），开展相关疾病的微创诊断和治疗的临床前研究。

(3) 低剂量锥束CT：基于平板探测器，通过低采样率投影数据的精确三维重建、局部投射区域三维重建及多能谱信息分离等研究，开展低剂量锥束CT成像研究。

1.        国家重点研发计划（2022YFC2408400）

2.        国家自然科学基金（82372052、81871439、81571772、81371640、81000651）

3.        国家重大科研装备研制项目（ZDYZ2013-1）（课题）

4.        山东省重点研发计划-重大科技创新工程（2021SFGC0104）

5.        江苏省重点研发计划-社会发展（BE2021663、BE2017671）

6.        广东省重点领域研发计划（2019B010152001）（课题）

7.        天津市科技计划（19YDYGHZ00030）

8.        中国科学院科研装备研制项目（YZ201342）

9.        中科院国际合作计划（GJHZ1857）

10.    江苏省基础研究计划（BK2010236）

11.    北京市自然科学基金（3063020）

1.        Yong'ai Li#, Junming Jian#, Huijie Ge, Xin Gao*, Jinwei Qiang*, Peritumoral MRI radiomics features increase the evaluation efficiency for response to chemotherapy in patients with epithelial ovarian cancer, Journal of Magnetic Resonance Imaging, Mar. 11, 2024. (SCI)

2.        Wei Xia#, Dandan Li#, Wenguang He, Perry J. Pickhardt, Junming Jian, Rui Zhang, Junjie Zhang, Ruirui Song, Tong Tong, Xiaotang Yang, Xin Gao*, Yanfen Cui*, Multicenter evaluation of a weakly supervised deep learning model for lymph node diagnosis in rectal cancer at MRI, Radiology: Artificial Intelligence, 2024, 6(2):e230152. (SCI) (封面文章)

3.        Di Chen#, Rui Zhang#, Xiaoming Huang, Chunxia Ji, Wei Xia, Ying Qi, Xinyu Yang, Lishuang Lin, Jing Wang, Haixia Cheng, Weijun Tang, Jinhua Yu, Dave S.B. Hoon, Jun Zhang*, Xin Gao*, Yu Yao*, MRI-derived radiomics assessing tumor-infiltrating macrophages enable prediction of immune-phenotype, immunotherapy response and survival in glioma, Biomarker Research, 2024, 12(1):14 (SCI)

4.        Liting Shi; Lin Shen; Junming Jian; Wei Xia; KeDa Yang; Yifu Tian; Jianghai Huang; Bowen Yuan; Liangfang Shen; Zhengzheng Liu; Jiayi Zhang; Rui Zhang; Keqing Wu; Di Jing*; Xin Gao*, Contribution of whole slide imaging-based deep learning in the assessment of intraoperative and postoperative sections in neuropathology , Brain Pathology, 2023, Apr. 4. (SCI)

5.        Dingdu Hu, Junming Jian*, Yongai Li*, Xin Gao*, Deep learning-based segmentation of epithelial ovarian cancer on T2-weighted magnetic resonance images, Quantitative Imaging in Medicine and Surgery, 2023, 13(3): 1464-1477. (SCI)

6.        Wei Shi#, Yong Wang#, Wei Xia#, Baoyan Liu, Meng Ni, Jingyi Shen, Yujun Bai, Guixiang Weng, Wenju Liu, Shuanghu Yuan*, Xin Gao*, Brain metastases from small cell lung cancer and non-small cell lung cancer: comparison of spatial distribution and identification of metastatic risk regions, Journal of Neuro-Oncology, 2023, 161, 97-105. (SCI)

7.        Wenbin Wu, Wei Xia, Zhong Jun, Samaneh Saghatchi, Saeedeh Navaei Lavasani, Saeed Mohagheghi, Alireza Ahmadian, Xin Gao*, Coordinate-based fast lightweight path search algorithm for electromagnetic navigation bronchoscopy, Medical & Biological Engineering & Computing, 2022, 61(3): 699-708. (SCI)

8.        石田蕾，张家意，鲍泳杨，高欣*，基于深度学习的黑色素细胞病变全流程智能化精准诊断，生物医学工程学杂志，2022, 2022, 39(5): 919-927. (EI)

9.        Honglin Bai#, Siyu Meng#, Chuanfeng Xiong#, Zhao Liu, Wei Shi, Qimeng Ren, Wei Xia, XingYu Zhao, Junming Jian, Yizhi Song, Caifang Ni*, Xin Gao*, Zhi Li*, Preoperative CECT-based radiomic signature for predicting the response of transarterial chemoembolization (TACE) therapy in Hepatocellular Carcinoma, CardioVascular and Interventional Radiology, Jun. 27, 2022. (SCI)

10.    Yingxiu Luo#, Jiayi Zhang#, Yidi Yang, Yamin Rao, Xingyu Chen, Tianlei Shi, Shiqiong Xu*, Renbing Jia*, Xin Gao*, Deep learning-based fully automated differential diagnosis of eyelid basal cell and sebaceous carcinoma using whole slide images, Quantitative Imaging in Medicine and Surgery, Jun, 2022. (SCI)

11.    Yanfen Cui#, Jiayi Zhang#, Zhenhui Li#, Kaikai Wei#, Ye Lei, Jialiang Ren, Lei Wu, Zhenwei Shi, Xiaochun Meng*,Xiaotang Yang*, Xin Gao*, A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: A multicenter cohort study, EClinicalMedicine, Apr. 2022. (SCI)

12.    廖仕敏，刘仰川，朱叶晨，王艳玲，高欣*，一种基于CycleGAN改进的低剂量CT图像增强网络，图学学报，2022。

13.    Keqing Wu, Shengbao Duan, Yujue Wang, Hongmei Wang*, Xin Gao*, Convolutional neural network-based automatic classification for incomplete antibody reaction intensity in solid phase anti-human globulin test images, Medical & Biological Engineering & Computing, 2022. (SCI)

14.    Yongyang Bao#, Jiayi Zhang#, Xingyu Zhao, Rui Zhang, Henghua Zhou, Ying Chen, Wei Xia, Junming Jian, Xin Gao*, Deep learning-based fully automated diagnosis of melanocytic lesions by using whole slide images, Journal of Dermatological Treatment, 2022. (SCI)

15.    Le Fu#, Wei Xia#, Wei Shi, Guangxu Cao, Yetian Ruan, Xingyu Zhao, Min Liu, Sumei Niu, Fang Li*, Xin Gao*, Deep learning based cervical screening by the cross-modal integration of colposcopy, cytology, and HPV test, International Journal of Medical Informatics, 2021. (SCI)

16.    Junming Jian#, Yong'ai Li#, Wei Xia, Zhang He, Rui Zhang, Haiming Li, Xingyu Zhao, Shuhui Zhao, Jiayi Zhang, Songqi Cai, Xiaodong Wu, Xin Gao*, Jinwei Qiang*, MRI-Based multiple instance convolutional neural network for increased accuracy in the differentiation of borderline and malignant epithelial ovarian tumors, Journal of Magnetic Resonance Imaging, Nov. 29, 2021. (SCI)

17.    Junming Jian, Wei Xia, Rui Zhang, Xingyu Zhao, Jiayi Zhang, Xiaodong Wu, Yong’ai Li, Jinwei Qiang, Xin Gao*, Multiple instance convolutional neural network with modality-based attention and contextual multi-instance learning pooling layer for effective differentiation between borderline and malignant epithelial ovarian tumors, Artificial Intelligence in Medicine, Oct. 7, 2021. (SCI)

18.    Xingyu Zhao, Xiang Wang, Wei Xia, Rui Zhang, Junming Jian, Jiayi Zhang, Yechen Zhu, Yuguo Tang, Zhen Li*, Shiyuan Liu*, Xin Gao*, 3D multi-scale, multi-task, and multi-label deep learning for prediction of lymph node metastasis in T1 lung adenocarcinoma patients' CT images, Computerized Medical Imaging and Graphics, Sep. 9, 2021. (SCI)

19.    Fengchang Yang#, Jiayi Zhang#, Liu Zhou, Wei Xia, Rui Zhang, Haifeng Wei, Jinxue Feng, Xingyu Zhao, Junming Jian, Xin Gao*, Shuanghu Yuan*, CT-based radiomics signatures can predict the tumor response of non-small cell lung cancer patients treated with first-line chemotherapy and targeted therapy, European Radiology, Aug. 8, 2021. (SCI)

20.    Yong Wang#, Wei Xia#, Baoyan Liu, Liu Zhou, Meng Ni, Rui Zhang, Jingyi Shen, Yujun Bai,Guixiang Weng, Shuanghu Yuan* and Xin Gao*, Exploration of spatial distribution of brain metastasis from small cell lung cancer and identification of metastatic risk level of brain regions: a multicenter, retrospective study, Cancer Imaging, 21:41, 2021. (SCI)

21.    Honglin Bai, Wei Xia, Xuefu Ji, Dong He, Xingyu Zhao, Jie Bao, Jian Zhou, Xuedong Wei, Yuhua Huang, Qiong Li*, Xin Gao*, Multiparametric MRI-based peritumoral radiomics for preoperative prediction of the presence of extracapsular extension with prostate cancer, Journal of Magnetic Resonance Imaging, May 10, 2021. (SCI)

22.    Jiayi Zhang#, Wei Xia#, Qingpeng Jin, Xin Gao*, A 2D/3D non-rigid registration method for lung images based on a non-linear correlation between displacement vectors and similarity measures, Journal of Medical and Biological Engineering, 41(3): 331-342, 2021. (SCI)

23.    Haiming Li#, Rui Zhang#, Ruimin Li, Wei Xia, Xiaojun Chen, Jiayi Zhang, Songqi Cai, Yong'ai Li, Shuhui Zhao, Jinwei Qiang, Weijun Peng, Yajia Gu*, Xin Gao*, Noninvasive prediction of residual disease for advanced high-grade serous ovarian carcinoma by MRI-based radiomic-clinical nomogram, European Radiology, Apr. 16, 2021. (SCI)

24.    Junming Jian#, Yong’ai Li#, Perry J. Pickhardt, Wei Xia, Zhang He, Rui Zhang, Shuhui Zhao, Xingyu Zhao, Songqi Cai, Jiayi Zhang, Guofu Zhang, Jingxuan Jiang, Yan Zhang, Keying Wang, Guangwu Lin, Feng Feng, Xiaodong Wu, Xin Gao*, Jinwei Qiang*, MR image-based radiomics to differentiate type I and type II epithelial ovarian cancers, European Radiology, 31(1): 403-410, 2021. (SCI)

25.    Lei Zhang#, Wei Xia#, Zhi-Ping Yan#, Jun-Hui Sun#, Bin-Yan Zhong#, Zhong-Heng Hou, Min-Jie Yang, Guan-Hui Zhou, Wan-Sheng Wang, Xing-Yu Zhao, Jun-Ming Jian, Peng Huang, Rui Zhang, Shen Zhang, Jia-Yi Zhang, Zhi Li, Xiao-Li Zhu, Xin Gao*, Cai-Fang Ni*, Deep learning predicts overall survival of patients with unresectable hepatocellular carcinoma treated by transarterial chemoembolization plus sorafenib, Frontiers in Oncology, 10, 593292, Sep. 30 2020. (SCI)

26.    Jiayi Zhang, Xin Gao*, Object extraction via deep learning-based marker-free tracking framework of surgical instruments for laparoscope-holder robots, International Journal of Computer Assisted Radiology and Surgery, 15: 1335–1345, Jun.9, 2020. (SCI)

27.    Xingyu Zhao#, Peiyi Xie#, Mengmeng Wang#, Wenru Li, Perry J. Pickhardt, Wei Xia, Fei Xiong, Rui Zhang, Yao Xie, Junming Jian, Honglin Bai, Caifang Ni, Jinhui Gu, Tao Yu, Yuguo Tang, Xin Gao*, Xiaochun Meng*, Deep learning–based fully automated detection and segmentation of lymph nodes on multiparametric-MRI for rectal cancer: a multicenter study, EBioMedicine, 56, 102780, June 2020. (SCI) (封面文章)

28.    Xingyu Zhao^#, Xiang Wang^#, Wei Xia, Qiong Li, Liu Zhou, Qingchu Li, Rui Zhang, Jiali Cai, Junming Jian, Li Fan, Wei Wang, Honglin Bai, Zhen Li, Yi Xiao, Yuguo Tang, Xin Gao*, Shiyuan Liu*, A cross-modal 3D deep learning for accurate lymph node metastasis prediction in clinical stage T1 lung adenocarcinoma, Lung Cancer, 145: 10-17, 2020. (SCI)

29.    Yuejun Sun#, Honglin Bai#, Dong Wang, Bo Zhou, Guowei Yang, Ligang Xu, Pingping Xu, Jiacheng Xu, Rong Liu*, Xin Gao*, Predicting the outcome of Transcatheter Arterial Embolization therapy for unresectable hepatocellular carcinoma based on radiomics of preoperative multi-parameter MRI, Journal of Magnetic Resonance Imaging, 52(4): 1083-1090. 2020. (SCI)

30.    Yi Dong#, Liu Zhou#, Wei Xia, Xing-Yu Zhao, Qi Zhang, Jun-Ming Jian, Xin Gao* and Wen-Ping Wang*, Preoperative prediction of microvascular invasion in hepatocellular carcinoma: initial application of a radiomic algorithm based on grayscale ultrasound images, Frontiers in Oncology, 10: 353, Mar. 19, 2020. (SCI)

31.    Yong'ai Li#, Junming Jian#, Perry J. Pickhardt, Fenghua Ma, Wei Xia, Haiming Li, Rui Zhang, Shuhui Zhao, Songqi Cai, Xingyu Zhao, Jiayi Zhang, Guofu Zhang, Jingxuan Jiang, Yan Zhang, Keying Wang, Guangwu Lin, Feng Feng, Jing Lu, Lin Deng, Xiaodong Wu, Jinwei Qiang*, and Xin Gao*, MRI-based machine learning for differentiating borderline from malignant epithelial ovarian tumors: a multicenter study, Journal of Magnetic Resonance Imaging, 52(3): 897-904, 2020. (SCI)

32.    高鹏，刘仰川，杨智，高欣*，用于乳腺超声透射断层成像的飞行时间精确计算方法，中国医学物理学杂志，37(5): 552-560, 2019。

33.    Rui Zhang#, Ling Wang#, Yanyu Lin, Minghui Yang, Zhe Guo, Wei Xia, Jie Wei, Chen Yi, Xinbao Wu, Xiaoguang Cheng*, Xin Gao*, A novel method for estimating nail-tract bone density for intertrochanteric fractures, Journal of Orthopaedic Translation, 18, pp. 40-47, 2019. (SCI)

34.    Mengmeng Wang, Peiyi Xie , Zhao Ran , Junming Jian , Rui Zhang , Wei Xia , Tao Yu , Caifang Ni* , Jinhui Gu*, Xin Gao*, Xiaochun Meng*, Full convolutional networks based multiple side-output fusion architecture for the segmentation of rectal tumors in magnetic resonance images: a multi-vendor study, Medical Physics, 46(6): 2659-2668, 2019. (SCI)

35.    Xiang Wang#, Xingyu Zhao#, Qiong Li, Wei Xia, Zhaohui Peng, Rui Zhang, Qingchu Li, Yuguo Tang, Wei Wang, Junming Jian, Shiyuan Liu*, Xin Gao*, Can peritumoral radiomics increase the efficiency of the prediction for lymph node metastasis in clinical stage T1 lung adenocarcinoma on CT?, European Radiology, 29(11): 6049-6058, 2019. (SCI)

36.    Yechen Zhu#, Yangchuan Liu#, Qi Zhang, Cishen Zhang*, Xin Gao*, A fast iteration approach to undersampled cone-beam CT reconstruction, Journal of X-Ray Science and Technology, 27: 111–129, 2019. (SCI)

37.    Xiaochun Meng#, Wei Xia#, Peiyi Xie, Rui Zhang, Wenru Li, Mengmeng Wang, Fei Xiong, Yangchuan Liu, Xinjuan Fan, Yao Xie, Xiangbo Wan, Kangshun Zhu, Hong Shan, Lei Wang*, Xin Gao*, Preoperative radiomic signature based on multiparametric magnetic resonance imaging for noninvasive evaluation of biological characteristics in rectal cancer, European Radiology, 29(6): 3200-3209, 2019. (SCI)

38.    Yangchuan Liu#, Cishen Zhang#, Wenru Li#, Yuguo Tang, Xin Gao*, An adaptive multiscale anisotropic diffusion regularized image reconstruction method for digital breast tomosynthesis, Australasian Physical & Engineering Sciences in Medicine, 41(4): 993-1008, 2018. (SCI)

39.    Wei Xia#, Qingpeng Jin#, Caifang Ni, Yanling Wang, Xin Gao*, Thorax x-ray and CT interventional dataset for non-rigid 2D/3D image registration evaluation, Medical Physics, 45(11): 5343-5351, 2018. (SCI)

40.    Wei Xia#, Ying Chen#, Rui Zhang, Zhuangzhi Yan, Xiaobo Zhou, Bo Zhang, Xin Gao*, Radiogenomics of hepatocellular carcinoma: multiregion analysis-based identification of prognostic imaging biomarkers by integrating gene data—a preliminary study, Physics in Medicine and Biology, 63, 035044, 2018. (SCI)

41.    Rui Zhang, Lin Huang, Wei Xia, Bo Zhang, Bensheng Qiu, Xin Gao*, Multiple supervised residual network for osteosarcoma segmentation in CT images, Computerized Medical Imaging and Graphics, 63: 1-8, 2018. (SCI)

42.    陈颖，严壮志，高欣*，基于基因影像学方法的肝细胞癌预后影像标记物研究，航天医学与医学工程，Vol. 30, No. 6, pp. 449-455, 2017

43.    Wei Xia, Zhuangzhi Yan*, Xin Gao*, Volume fractions of DCE-MRI parameter as early predictor of histologic response in soft tissue sarcoma: a feasibility study, European Journal of Radiology, 95: 228-235, 2017. (SCI).

44.    Lin Huang, Wei Xia, Bo Zhang, Bensheng Qiu, Xin Gao*, MSFCN-multiple supervised fully convolution networks for the osteosarcoma segmentation of CT images, Computer Methods and Programs in Biomedicine, 143: 67-74, 2017. (SCI)

45.    Xuan Zhou#, Xin Gao#, Jiajun Wang*, et al., Eye tracking data guided feature selection for image classificatio, Pattern Recognition, 63: 56-70, 2017. (SCI)

46.    Hui Zhang, Si Chen, Wei Zou, Danfeng Hu, Xin Gao*, and Jiajun Wang*, Bayesian reconstruction of quantitative photoacoustic tomography considering modeling error of the optical diffusion equation, Optical Engineering, 55(9): 093101, 2016. (SCI)

47.    陈琳，夏威，高欣*，基于体素的肿瘤疗效影像学早期评估方法，生物医学工程学杂志，Vol. 33, No. 3, pp. 538-544, 2016. (EI)

48.    Xuejun Zhang*, Xin Gao*, Brent J. Liu, Kevin Ma, Wen Yan, Long Liling, Huang Yuhong, Hiroshi Fujita, Effective staging of fibrosis by the selected texture features of liver: Which one is better, CT or MR imaging? Computerized Medical Imaging and Graphics, 47: 227-236, 2015. (SCI)

49.    Wei Xia, Xin Gao*, A fast deformable registration method for 4D lung CT in hybrid framework, International Journal of Computer Assisted Radiology and Surgery. 9(4): 523-533, 2014. (SCI)

50.    Xin Gao, Youshikazu Uchiyama, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita, A fast and fully automatic method for cerebrovascular segmentation on time-of-flight (TOF) MRA image, Journal of Digital Imaging, 24(4): 609-625, 2011. (SCI)

51.    Xin Gao, Zhong Xue, Stephen M. Gottschalk, Catherine M. Bollard, Daniel Lee, Jiong Xing, Stephen C. Wong, Computer-assisted quantitative evaluation of therapeutic responses for lymphoma using serial imaging, Academic Radiology, 17(4): 479-488, 2010. (SCI)

52.     Xin Gao, Shuqian Luo*, Hongxia Yin, Bo Liu, Maolin Xu, Qingxi Yuan, Xiulai Gao, Peiping Zhu, A micro-tomography method based on X-ray diffraction enhanced imaging for the visulization of micro-organisms and soft tissue materials, Computerized Medical Imaging and Graphics, 30(6-7): 339–347, 2006. (SCI)

知识产权：

1.        唐玉国、高欣、刘仰川、夏威、张睿、张家意，一种立式CT扫描仪，发明专利，ZL 201811559092.1

2.        高欣，唐玉国，一种笼型CT扫描仪用调节装置，专利发明，ZL 201810883208.0

3.        高欣，唐玉国，一种笼型CT扫描仪移动机构，发明专利，ZL201810883207.6

4.        唐玉国，刘仰川，高欣，一种手术导航方法及系统，发明专利，ZL 201710195702.3

5.        陈颖，高欣，一种基于基因影像学的肿瘤影像标记物提取方法，发明专利，ZL201710281483.0

6.        高欣，梁志远，低计量数字X射线影像方舱，发明专利，ZL 201611271084.8

7.        高欣，梁志远，低计量数字X射线影像方舱，美国发明专利，US10702222

8.        高欣，梁志远，笼型CT扫描仪，发明专利，ZL201611271461.8

9.        高欣，梁志远，多功能数字X射线影像方舱，发明专利，ZL201611271465.6

10.    夏威，高欣，一种显微图像标准化封装系统，发明专利，ZL201510157705.9

11.    刘仰川，高欣，一种基于云计算的蒙特卡洛仿真加速方法及系统，发明专利，ZL201510885304.5

12.    张睿，高欣，一种脑激活区检测方法和装置，发明专利，ZL201510868400.9

13.    张睿，高欣，一种脑激活区检测方法和装置，发明专利，ZL201510862020.4

14.    崔学理，高欣，夏威，一种新的构建序列影像与呼吸信号对应关系的方法，发明专利，ZL201410675421.4

15.    刘仰川，高欣，一种基于立体视觉的呼吸门控系统及控制方法，发明专利，ZL201410680557.4

16.    高欣，梁志远，徐川，一种移动式X射线诊断装置，发明专利，ZL201310729813.X

17.    高欣，梁志远，徐川，一种智能化多自由度环向诊断装置，发明专利，ZL201310729912.8

18.    高欣，梁志远，徐川，一种移动式X射线诊断装置的工作台系统，发明专利，ZL201310729911.3

19.    高欣，一种影像导航肺部介入手术系统，发明专利，ZL201110246692.4