Xin Gao is the Board Member of the Medical Instrumentation Branch of the China Instrument and Control Society, Deputy Secretary-General of the Youth Committee of the Chinese Society of Biomedical Engineering, Special Review Expert for Innovative Medical Devices at the Center for Medical Device Evaluation of National Medical Products Administration, and Editorial Board Member of the Journal of Graphics.

He focuses on intelligent imaging technology research, aiming at minimally invasive diagnosis and treatment, and constructs overall solutions in related fields through key technological breakthroughs, covering content from applied basic research to instrument system development.

He has presided over 21 vertical research projects, including 1 National Key R&D Program project, 5 National Natural Science Foundation of China projects, 1 sub-project of the National Major Scientific Research Equipment Development project, 1 Shandong Province Major Science and Technology Innovation Engineering project, 2 Jiangsu Province Key R&D Program projects, 1 Chinese Academy of Sciences Scientific Research Equipment Development project, and 1 Chinese Academy of Sciences International Cooperation project. Awarded the third prize of Jiangsu Province Science and Technology Award (Basic Research) as the first accomplisher.

He has published more than 120 scientific papers, with over 60 SCI-indexed papers as the first author or corresponding author in journals such as EClinicalMedicine and EBioMedicine under the Lancet in the field of general medicine; Gastric Cancer, Lung Cancer, and Journal of Neuro-Oncology in the field of oncology; Eur. Radiol. and J. Magn. Reson. Imaging in the field of radiology; Brain Pathology in the field of pathology; Pattern Recognit., Artif. Intell. Med., Comput. Meth. Programs Biomed., Comput. Med. Imaging Graph., and Int. J. Med. Inform. in the field of biomedical engineering. Holds 21 authorized invention patents and 1 US patent; has drafted 2 group standards.

He has been awarded honors such as "Jiangsu Province Industry Professor for Graduate Supervisors" and "First Prize for Outstanding Supervisors of the School of Science and Education Integration at the University of Science and Technology of China". Supervised students have won honors such as the "National Scholarship for Graduate Students", "Chinese Academy of Sciences President's Award", and "Outstanding Graduate Student Award for Science and Education Integration at the University of Science and Technology of China".

(1) Precision medicine based on intelligent imaging computing: Utilizes clinical big data such as imaging, genes, pathology, and biochemistry, and leverages artificial intelligence, data analysis and mining, and information fusion technologies to conduct research on disease risk prediction, intelligent assisted diagnosis, and prognosis prediction, providing personalized solutions for clinical decision-making.

(2) Surgical navigation and robotics: Integrates preoperative and intraoperative medical structural imaging or molecular imaging (including endoscopic images) information, assists spatial positioning technology (including robotics), and carries out preclinical research on minimally invasive diagnosis and treatment of related diseases. 

(3) Low-dose cone-beam CT: Based on flat-panel detectors, conducts research on low-dose cone-beam CT imaging through accurate three-dimensional reconstruction of low-sampling-rate projection data, three-dimensional reconstruction of local projection regions, and multi-energy spectrum information separation.

Shandong Province "Taishan Industry Leading Talent" (2023)

Jiangsu Province Industry Professor for Postgraduate Supervisors (2023)

First Prize for Outstanding Supervisors of the School of Science and Education Integration at the University of Science and Technology of China (2021)

Jiangsu Province "333 High-level Talent Training Project" Second Level Trainee (2021)

Quancheng "5150" Talent Doubling Plan Innovation Talent (2019)

Tianjin Municipal Young and Middle-aged Science and Technology Innovation Leading Talent (2019)

Jiangsu Province High-level Innovation and Entrepreneurship Talent Funding (2013)

Jiangsu Province "333 High-level Talent Training Project" Third Level Trainee (2013)

Chinese Academy of Sciences "Recruitment Program of Global Experts" Funding (2012)

Suzhou Municipal High-level Talent Introduction Funding for Universities and Research Institutes (2011) 

Beijing Municipal Outstanding Talent Training Funding (2006)

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) (Cover article)

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.        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)

9.        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)

10.    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)

11.    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)

12.    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)

13.    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)

14.    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)

15.    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)

16.    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)

17.    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)

18.    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)

19.    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)

20.    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)

21.    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)

22.    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)

23.    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)

24.    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)

25.    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) (Cover article)

26.    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)

27.    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)

28.    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)

29.    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)

30.    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)

31.    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)

32.    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)

33.    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)

34.    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)

35.   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)

36.   Wei Xia#, Qingpeng Jin#, Caifang Ni, Yanling Wang,Xin Gao*,Thoraxx-ray and CT interventional dataset for non-rigid2D/3D image registration evaluation, Medical Physics, 45(11): 5343-5351, 2018. (SCI)

37.    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)

38.    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)

39.    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).

40.   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)

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

42.    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)

43.    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)

44.   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)

45.    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)

46.    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) 

47.     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)