主要研究方向包括人工智能，模式识别与智能系统，医学影像大数据分析，涉及多模态医学影像大模型，多组学大数据建模分析等。

招收自动化类、计算机类、数学类和生物医学工程类等专业学生

• 直博生/普博生，硕士生

• 实习生 (大三、大四或研一、研二，可实习 1 年以上，优秀者可通过人工智能箐英班/暑期学校/九推保研至自动化所）

常年招聘上述专业的博士后（符合条件的可解决北京户口）；

有意者请发送简历至邮箱zhenyu.liu@ia.ac.cn。

   

081104-模式识别与智能系统

人工智能，模式识别，医学影像大数据分析

2009-09--2014-07   中国科学院大学   博士学位
2005-09--2009-07   中国科学技术大学   学士学位

   

2019-11~现在, 中国科学院自动化研究所, 研究员
2016-11~2019-10,中国科学院自动化研究所, 副研究员
2014-07~2016-10,中国科学院自动化研究所, 助理研究员

2018-10-01-2023-10-01,中国研究型医院学会医学影像与人工智能专委会, 副主任委员

   

[1] 田捷, 尹琳, 杜洋, 刘振宇, 惠辉, 王坤. 基于自注意力机制的MMPI混合信号分离方法. 202210478647.7, 2022-05-05.

   

[1] Wang, Jiani, Liu, Yuwei, Zhang, Renzhi, Liu, Zhenyu, Yi, Zongbi, Guan, Xiuwen, Zhao, Xinming, Jiang, Jingying, Tian, Jie, Ma, Fei. Multi-omics fusion analysis models with machine learning predict survival of HER2-negative metastatic breast cancer: a multicenter prospective observational study. CHINESE MEDICAL JOURNAL. 2023, 第 4 作者136(7): 863-865, http://dx.doi.org/10.1097/CM9.0000000000002625.
[2] Liu, Xiangyu, Liu, Zhenyu, Yan, Ye, Wang, Kai, Wang, Aodi, Ye, Xiongjun, Wang, Liwei, Wei, Wei, Li, Bao, Sun, Caixia, He, Wei, Zhu, Xuehua, Liu, Zenan, Liu, Jiangang, Lu, Jian, Tian, Jie. Development of Prognostic Biomarkers by TMB-Guided WSI Analysis: A Two-Step Approach. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS[J]. 2023, 第 2 作者27(4): 1780-1789, http://dx.doi.org/10.1109/JBHI.2023.3249354.
[3] 孙继飞, 何家恺, 王智, 郭春蕾, 孙凯, 刘振宇, 余学, 方继良. 机器学习技术在针灸治疗脑病领域的研究现状及展望. 世界中医药. 2023, 第 6 作者18(9): 1322-1326, http://lib.cqvip.com/Qikan/Article/Detail?id=7109665891.
[4] Zhao, LiTao, Liu, ZhenYu, Xie, WanFang, Shao, LiZhi, Lu, Jian, Tian, Jie, Liu, JianGang. What benefit can be obtained from magnetic resonance imaging diagnosis with artificial intelligence in prostate cancer compared with clinical assessments?. MILITARY MEDICAL RESEARCH. 2023, 第 2 作者10(1): http://dx.doi.org/10.1186/s40779-023-00464-w.
[5] Caixia Sun, Bingbing Li, Genxia Wei, Weihao Qiu, Danyi Li, Xiangzhao Li, Xiangyu Liu, Wei Wei, Shuo Wang, Zhenyu Liu, Jie Tian, Li Liang. Deep learning with whole slide images can improve the prognostic risk stratification with stage III colorectal cancer. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE. 2022, 第 10 作者  通讯作者  221: 
[6] 中国老年学和老年医学学会, 中国医师协会临床精准诊疗专业委员会, 中国研究型医院学会医学影像与人工智能专业委员会, 卢剑, 林健, 刘振宇, 刘建刚, 邵立智, 赵立涛. 人工智能辅助前列腺癌磁共振影像的精准分级中国专家共识（2022）. 中华老年医学杂志[J]. 2022, 第 6 作者41(6): 651-658, http://lib.cqvip.com/Qikan/Article/Detail?id=7107438158.
[7] 马梦航, 魏炜, 刘振宇, 田捷. 人工智能在结直肠癌医学影像中的临床应用. 肿瘤影像学[J]. 2022, 第 3 作者31(2): 97-104, http://lib.cqvip.com/Qikan/Article/Detail?id=7107114334.
[8] Lin Yin, Wei Li, Yang Du, Kun Wang, Zhenyu Liu, Hui Hui, Jie Tian. Recent developments of the reconstruction in magnetic particle imaging. VISUAL COMPUTING FOR INDUSTRY, BIOMEDICINE, AND ART[J]. 2022, 第 5 作者5(1): 1-13, http://dx.doi.org/10.1186/s42492-022-00120-5.
[9] Zhou, Hongyu, Li, Lu, Liu, Zhenyu, Zhao, Kankan, Chen, Xiuyu, Lu, Minjie, Yin, Gang, Song, Lei, Zhao, Shihua, Zheng, Hairong, Tian, Jie. Deep learning algorithm to improve hypertrophic cardiomyopathy mutation prediction using cardiac cine images. EUROPEAN RADIOLOGY[J]. 2021, 第 3 作者31(6): 3931-3940, http://dx.doi.org/10.1007/s00330-020-07454-9.
[10] Yan, Ye, Shao, Lizhi, Liu, Zhenyu, He, Wei, Yang, Guanyu, Liu, Jiangang, Xia, Haizhui, Zhang, Yuting, Chen, Huiying, Liu, Cheng, Lu, Min, Ma, Lulin, Sun, Kai, Zhou, Xuezhi, Ye, Xiongjun, Wang, Lei, Tian, Jie, Lu, Jian. Deep Learning with Quantitative Features of Magnetic Resonance Images to Predict Biochemical Recurrence of Radical Prostatectomy: A Multi-Center Study. CANCERS[J]. 2021, 第 3 作者13(12): http://dx.doi.org/10.3390/cancers13123098.
[11] Liu, Xiangyu, Zhang, Dafu, Liu, Zhenyu, Li, Zhenhui, Xie, Peiyi, Sun, Kai, Wei, Wei, Dai, Weixing, Tang, Zhenchao, Ding, Yingying, Cai, Guoxiang, Tong, Tong, Meng, Xiaochun, Tian, Jie. Deep learning radiomics-based prediction of distant metastasis in patients with locally advanced rectal cancer after neoadjuvant chemoradiotherapy: A multicentre study. EBIOMEDICINE[J]. 2021, 第 3 作者69: http://dx.doi.org/10.1016/j.ebiom.2021.103442.
[12] Mo, Jiajie, Wei, Wei, Liu, Zhenyu, Zhang, Jianguo, Ma, Yanshan, Sang, Lin, Hu, Wenhan, Zhang, Chao, Wang, Yao, Wang, Xiu, Liu, Chang, Zhao, Baotian, Gao, Dongmei, Tian, Jie, Zhang, Kai. Neuroimaging Phenotyping and Assessment of Structural-Metabolic-Electrophysiological Alterations in the Temporal Neocortex of Focal Cortical Dysplasia IIIa. JOURNAL OF MAGNETIC RESONANCE IMAGING[J]. 2021, 第 3 作者54(3): 925-935, http://dx.doi.org/10.1002/jmri.27615.
[13] Su, Qiang, Liu, Zhenyu, Chen, Chi, Gao, Han, Zhu, Yongbei, Wang, Liusu, Pan, Meiqing, Liu, Jiangang, Yang, Xin, Tian, Jie. Gene signatures predict biochemical recurrence-free survival in primary prostate cancer patients after radical therapy. CANCER MEDICINE[J]. 2021, 第 2 作者10(18): 6492-6502, http://dx.doi.org/10.1002/cam4.4092.
[14] Zhang, Jing, Yao, Kuan, Liu, Panpan, Liu, Zhenyu, Han, Tao, Zhao, Zhiyong, Cao, Yuntai, Zhang, Guojin, Zhang, Junting, Tian, Jie, Zhou, Junlin. A radiomics model for preoperative prediction of brain invasion in meningioma non-invasively based on MRI: A multicentre study. EBIOMEDICINE[J]. 2020, 第 4 作者58: http://dx.doi.org/10.1016/j.ebiom.2020.102933.
[15] Li, Menglei, Sun, Kai, Dai, Weixing, Xiang, Wenqiang, Zhang, Zhaohe, Zhang, Rui, Wang, Renjie, Li, Qingguo, Mo, Shaobo, Han, Lingyu, Tong, Tong, Liu, Zhenyu, Tian, Jie, Cai, Guoxiang. Preoperative prediction of peritoneal metastasis in colorectal cancer using a clinical-radiomics model. EUROPEAN JOURNAL OF RADIOLOGY[J]. 2020, 第 12 作者  通讯作者  132: http://dx.doi.org/10.1016/j.ejrad.2020.109326.
[16] Qingxia Wu, Kuan Yao, Zhenyu Liu, Longfei Li, Xin Zhao, Shuo Wang, Honglei Shang, Yusong Lin, Zejun Wen, Xiaoan Zhang, Jie Tian, Meiyun Wang. Erratum to ‘Radiomics analysis of placenta on T2WI facilitates prediction of postpartum haemorrhage: A multicentre study’. EBIOMEDICINE[J]. 2020, 第 3 作者55: http://dx.doi.org/10.1016/j.ebiom.2020.102773.
[17] Tian, Xin, Sun, Caixia, Liu, Zhenyu, Li, Weili, Duan, Hui, Wang, Lu, Fan, Huijian, Li, Mingwei, Li, Pengfei, Wang, Lihui, Liu, Ping, Tian, Jie, Chen, Chunlin. Prediction of Response to Preoperative Neoadjuvant Chemotherapy in Locally Advanced Cervical Cancer Using Multicenter CT-Based Radiomic Analysis. FRONTIERS IN ONCOLOGY[J]. 2020, 第 3 作者10: 
[18] Xiong, Qianqian, Zhou, Xuezhi, Liu, Zhenyu, Lei, Chuqian, Yang, Ciqiu, Yang, Mei, Zhang, Liulu, Zhu, Teng, Zhuang, Xiaosheng, Liang, Changhong, Liu, Zaiyi, Tian, Jie, Wang, Kun. Multiparametric MRI-based radiomics analysis for prediction of breast cancers insensitive to neoadjuvant chemotherapy. CLINICAL & TRANSLATIONAL ONCOLOGY[J]. 2020, 第 3 作者22(1): 50-59, 
[19] Guo, Xu, Liu, Zhenyu, Sun, Caixia, Zhang, Lei, Wang, Ying, Li, Ziyao, Shi, Jiaxin, Wu, Tong, Cui, Hao, Zhang, Jing, Tian, Jie, Tian, Jiawei. Deep learning radiomics of ultrasonography: Identifying the risk of axillary non-sentinel lymph node involvement in primary breast cancer. EBIOMEDICINE[J]. 2020, 第 2 作者60: http://dx.doi.org/10.1016/j.ebiom.2020.103018.
[20] Shao, Lizhi, Liu, Zhenyu, Feng, Lili, Lou, Xiaoying, Li, Zhenhui, Zhang, XiaoYan, Zhou, Xuezhi, Sun, Kai, Zhang, DaFu, Wu, Lin, Yang, Guanyu, Sun, YingShi, Xu, Ruihua, Wan, Xiangbo, Fan, Xinjuan, Tian, Jie. Radiopathomics strategy combining multiparametric MRI with whole-slide image for pretreatment prediction of tumor regression grade to neoadjuvant chemoradiotherapy in rectal cancer. CANCER RESEARCH[J]. 2020, 第 2 作者80(16): https://www.webofscience.com/wos/woscc/full-record/WOS:000590059300276.
[21] Wang, Yinyan, Wei, Wei, Liu, Zhenyu, Liang, Yuchao, Liu, Xing, Li, Yiming, Tang, Zhenchao, Jiang, Tao, Tian, Jie. Predicting the Type of Tumor-Related Epilepsy in Patients With Low-Grade Gliomas: A Radiomics Study. FRONTIERSINONCOLOGY[J]. 2020, 第 3 作者10: https://doaj.org/article/4e3e00bcce84496fabb9da518c4675e9.
[22] Zhou, Xuezhi, Yi, Yongju, Liu, Zhenyu, Zhou, Zhiyang, Lai, Bingjia, Sun, Kai, Li, Longfei, Huang, Liyu, Feng, Yanqiu, Cao, Wuteng, Tian, Jie. Radiomics-Based Preoperative Prediction of Lymph Node Status Following Neoadjuvant Therapy in Locally Advanced Rectal Cancer. FRONTIERS IN ONCOLOGY[J]. 2020, 第 3 作者10: https://doaj.org/article/cbec7634973045f5b36e2e1df7b9aa2d.
[23] Shao, Lizhi, Liu, Zhenyu, Feng, Lili, Lou, Xiaoying, Li, Zhenhui, Zhang, XiaoYan, Wan, Xiangbo, Zhou, Xuezhi, Sun, Kai, Zhang, DaFu, Wu, Lin, Yang, Guanyu, Sun, YingShi, Xu, Ruihua, Fan, Xinjuan, Tian, Jie. Multiparametric MRI and Whole Slide Image-Based Pretreatment Prediction of Pathological Response to Neoadjuvant Chemoradiotherapy in Rectal Cancer: A Multicenter Radiopathomic Study. ANNALS OF SURGICAL ONCOLOGY[J]. 2020, 第 2 作者27(11): 4296-4306, http://dx.doi.org/10.1245/s10434-020-08659-4.
[24] Zhou, Xuezhi, Liu, Zhenyu, Du, Yang, Xiong, Qianqian, Wang, Kun, Tian, Jie. Radiomics improved pre-therapeutic prediction of breast cancers insensitive to neoadjuvant chemotherapy. CANCER RESEARCH[J]. 2020, 第 2 作者80(4): http://dx.doi.org/10.1158/1538-7445.SABCS19-P1-10-29.
[25] Zhuang, Xiaosheng, Chen, Chi, Liu, Zhenyu, Zhang, Liulu, Zhou, Xuezhi, Cheng, Minyi, Ji, Fei, Zhu, Teng, Lei, Chuqian, Zhang, Junsheng, Jiang, Jingying, Tian, Jie, Wang, Kun. Multiparametric MRI-based radiomics analysis for the prediction of breast tumor regression patterns after neoadjuvant chemotherapy. TRANSLATIONAL ONCOLOGY[J]. 2020, 第 3 作者13(11): http://dx.doi.org/10.1016/j.tranon.2020.100831.
[26] Fang, Jin, Zhang, Bin, Wang, Shuo, Jin, Yan, Wang, Fei, Ding, Yingying, Chen, Qiuying, Chen, Liting, Li, Yueyue, Li, Minmin, Chen, Zhuozhi, Liu, Lizhi, Liu, Zhenyu, Tian, Jie, Zhang, Shuixing. Association of MRI-derived radiomic biomarker with disease-free survival in patients with early-stage cervical cancer. THERANOSTICS[J]. 2020, 第 13 作者  通讯作者  10(5): 2284-2292, http://dx.doi.org/10.7150/thno.37429.
[27] Wu, Qingxia, Wang, Shuo, Zhang, Shuixing, Wang, Meiyun, Ding, Yingying, Fang, Jin, Wu, Qingxia, Qian, Wei, Liu, Zhenyu, Sun, Kai, Jin, Yan, Ma, He, Tian, Jie. Development of a Deep Learning Model to Identify Lymph Node Metastasis on Magnetic Resonance Imaging in Patients With Cervical Cancer. JAMA NETWORK OPEN[J]. 2020, 第 9 作者3(7): http://dx.doi.org/10.1001/jamanetworkopen.2020.11625.
[28] Zhenyu Liu, Xiaochun Meng, Hongmei Zhang, Zhenhui Li, Jiangang Liu, Kai Sun, Yankai Meng, Weixing Dai, Peiyi Xie, Yingying Ding, Meiyun Wang, Guoxiang Cai, Jie Tian. Predicting distant metastasis and chemotherapy benefit in locally advanced rectal cancer. NATURE COMMUNICATIONS[J]. 2020, 第 1 作者11(1): http://dx.doi.org/10.1038/s41467-020-18162-9.
[29] Zhou, Xuezhi, Liu, Zhenyu, Zhang, Dafu, Wu, Lin, Sun, Kai, Shao, Lizhi, Huang, Liyu, Li, Zhenhui, Tian, Jie. Improving initial nodal staging of T3 rectal cancer using quantitative image features. BRITISH JOURNAL OF SURGERY. 2020, 第 2 作者107(11): E541-E542, http://dx.doi.org/10.1002/bjs.12027.
[30] Shao, Lizhi, Yan, Ye, Liu, Zhenyu, Ye, Xiongjun, Xia, Haizhui, Zhu, Xuehua, Zhang, Yuting, Zhang, Zhiying, Chen, Huiying, He, Wei, Liu, Cheng, Lu, Min, Huang, Yi, Ma, Lulin, Sun, Kai, Zhou, Xuezhi, Yang, Guanyu, Lu, Jian, Tian, Jie. Radiologist-like artificial intelligence for grade group prediction of radical prostatectomy for reducing upgrading and downgrading from biopsy. THERANOSTICS[J]. 2020, 第 3 作者10(22): 10200-10212, https://www.webofscience.com/wos/woscc/full-record/WOS:000596762400001.
[31] Wang, Ying, Sun, Kai, Liu, Zhenyu, Chen, Guanmao, Jia, Yanbin, Zhong, Shuming, Pan, Jiyang, Huang, Li, Tian, Jie. Classification of Unmedicated Bipolar Disorder Using Whole-Brain Functional Activity and Connectivity: A Radiomics Analysis. CEREBRAL CORTEX[J]. 2020, 第 3 作者30(3): 1117-1128, https://www.webofscience.com/wos/woscc/full-record/WOS:000535899500020.
[32] Sun, Kai, Liu, Zhenyu, Li, Yiming, Wang, Lei, Tang, Zhenchao, Wang, Shuo, Zhou, Xuezhi, Shao, Lizhi, Sun, Caixia, Liu, Xing, Jiang, Tao, Wang, Yinyan, Tian, Jie. Radiomics Analysis of Postoperative Epilepsy Seizures in Low-Grade Gliomas Using Preoperative MR Images. FRONTIERS IN ONCOLOGY[J]. 2020, 第 2 作者10: https://doaj.org/article/1d544ee4d8cf426590b29325aee153f7.
[33] Wu, Qingxia, Yao, Kuan, Liu, Zhenyu, Li, Longfei, Zhao, Xin, Wang, Shuo, Shang, Honglei, Lin, Yusong, Wen, Zejun, Zhang, Xiaoan, Tian, Jie, Wang, Meiyun. Radiomics analysis of placenta on T2WI facilitates prediction of postpartum haemorrhage: A multicentre study (vol 50, pg 355, 2019). EBIOMEDICINE. 2020, 第 3 作者55: https://www.webofscience.com/wos/woscc/full-record/WOS:000537270600008.
[34] Yao, Xun, Sun, Caixia, Xiong, Fei, Zhang, Xinyu, Cheng, Jin, Wang, Chao, Ye, Yingjiang, Hong, Nan, Wang, Lihui, Liu, Zhenyu, Meng, Xiaochun, Wang, Yi, Tian, Jie. Radiomic signature-based nomogram to predict disease-free survival in stage II and III colon cancer. EUROPEAN JOURNAL OF RADIOLOGY[J]. 2020, 第 10 作者131: http://dx.doi.org/10.1016/j.ejrad.2020.109205.
[35] Lei, Chuqian, Wei, Wei, Liu, Zhenyu, Xiong, Qianqian, Yang, Ciqiu, Yang, Mei, Zhang, Liulu, Zhu, Teng, Zhuang, Xiaosheng, Liu, Chunling, Liu, Zaiyi, Tian, Jie, Wang, Kun. Mammography-based radiomic analysis for predicting benign BI-RADS category 4 calcifications. EUROPEAN JOURNAL OF RADIOLOGY[J]. 2019, 第 3 作者121: http://dx.doi.org/10.1016/j.ejrad.2019.108711.
[36] Wei, Wei, Wang, Ke, Liu, Zhenyu, Tian, Kaibing, Wang, Liang, Du, Jiang, Ma, Junpeng, Wang, Shuo, Li, Longfei, Zhao, Rui, Cui, Luo, Wu, Zhen, Tian, Jie. Radiomic signature: A novel magnetic resonance imaging-based prognostic biomarker in patients with skull base chordoma. RADIOTHERAPY AND ONCOLOGY[J]. 2019, 第 3 作者141: 239-246, http://dx.doi.org/10.1016/j.radonc.2019.10.002.
[37] Wang Shuo, Chen Xi, Liu Zhenyu, Wu Qingxia, Zhu Yongbei, Wang Meiyun, Tian Jie, Mori K, Hahn HK. Radiomics analysis on T2-MR image to predict lymphovascular space invasion in cervical cancer. MEDICAL IMAGING 2019: COMPUTER-AIDED DIAGNOSIS. 2019, 第 3 作者10950: 
[38] Kong, Ziren, Lin, Yusong, Jiang, Chendan, Li, Longfei, Liu, Zehua, Wang, Yuekun, Dai, Congxin, Liu, Delin, Qin, Xuying, Wang, Yu, Liu, Zhenyu, Cheng, Xin, Tian, Jie, Ma, Wenbin. F-18-FDG-PET-based Radiomics signature predicts MGMT promoter methylation status in primary diffuse glioma. CANCER IMAGING[J]. 2019, 第 11 作者19(1): https://www.webofscience.com/wos/woscc/full-record/WOS:000486718800001.
[39] Qu, Jinrong, Shen, Chen, Qin, Jianjun, Wang, Zhaoqi, Liu, Zhenyu, Guo, Jia, Zhang, Hongkai, Gao, Pengrui, Bei, Tianxia, Wang, Yingshu, Liu, Hui, Kamel, Ihab R, Tian, Jie, Li, Hailiang. The MR radiomic signature can predict preoperative lymph node metastasis in patients with esophageal cancer. EUROPEAN RADIOLOGY[J]. 2019, 第 5 作者29(2): 906-914, http://ir.ia.ac.cn/handle/173211/25633.
[40] Han, Lu, Zhu, Yongbei, Liu, Zhenyu, Yu, Tao, He, Cuiju, Jiang, Wenyan, Kan, Yangyang, Dong, Di, Tian, Jie, Luo, Yahong. Radiomic nomogram for prediction of axillary lymph node metastasis in breast cancer. EUROPEAN RADIOLOGY[J]. 2019, 第 3 作者29(7): 3820-3829, http://ir.ia.ac.cn/handle/173211/24392.
[41] Tian, Yuan, Liu, Zhenyu, Tang, Zhenchao, Li, Mingge, Lou, Xin, Dong, Enqing, Liu, Gang, Wang, Yulin, Wang, Yan, Bian, Xiangbin, Wei, Shihui, Tian, Jie, Ma, Lin. Radiomics Analysis of DTI Data to Assess Vision Outcome After Intravenous Methylprednisolone Therapy in Neuromyelitis Optic Neuritis. JOURNAL OF MAGNETIC RESONANCE IMAGING[J]. 2019, 第 2 作者49(5): 1365-1373, http://ir.ia.ac.cn/handle/173211/24954.
[42] He, Ming, Liu, Zhenyu, Lin, Yusong, Wan, Jianzhong, Li, Juan, Xu, Kai, Wang, Yun, Jin, Zhengyu, Tian, Jie, Xue, Huadan. Differentiation of atypical non-functional pancreatic neuroendocrine tumor and pancreatic ductal adenocarcinoma using CT based radiomics. EUROPEAN JOURNAL OF RADIOLOGY[J]. 2019, 第 2 作者117: 102-111, http://dx.doi.org/10.1016/j.ejrad.2019.05.024.
[43] Wei, Wei, Liu, Zhenyu, Rong, Yu, Zhou, Bin, Bei, Yan, Wei, Wei, Wang, Shuo, Wang, Meiyun, Guo, Yingkun, Tian, Jie. A Computed Tomography-Based Radiomic Prognostic Marker of Advanced High-Grade Serous Ovarian Cancer Recurrence: A Multicenter Study. FRONTIERS IN ONCOLOGY[J]. 2019, 第 2 作者9: http://ir.ia.ac.cn/handle/173211/24952.
[44] Liu, Zhenyu, Li, Zhuolin, Qu, Jinrong, Zhang, Renzhi, Zhou, Xuezhi, Li, Longfei, Sun, Kai, Tang, Zhenchao, Jiang, Hui, Li, Hailiang, Xiong, Qianqian, Ding, Yingying, Zhao, Xinming, Wang, Kun, Liu, Zaiyi, Tian, Jie. Radiomics of Multiparametric MRI for Pretreatment Prediction of Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer: A Multicenter Study. CLINICAL CANCER RESEARCH[J]. 2019, 第 1 作者25(12): 3538-3547, 
[45] Zhou, Xuezhi, Yi, Yongju, Liu, Zhenyu, Cao, Wuteng, Lai, Bingjia, Sun, Kai, Li, Longfei, Zhou, Zhiyang, Feng, Yanqiu, Tian, Jie. Radiomics-Based Pretherapeutic Prediction of Non-response to Neoadjuvant Therapy in Locally Advanced Rectal Cancer. ANNALS OF SURGICAL ONCOLOGY[J]. 2019, 第 3 作者26(6): 1676-1684, http://ir.ia.ac.cn/handle/173211/24200.
[46] Kong, Z, Li, J, Liu, Zehua, Liu, Zhenyu, Zhao, D, Cheng, X, Li, L, Lin, Y, Wang, Y, Tian, J, Ma, W. Radiomics signature based on FDG-PET predicts proliferative activity in primary glioma. CLINICAL RADIOLOGY[J]. 2019, 第 4 作者74(10): 815.e15-815.e23, http://dx.doi.org/10.1016/j.crad.2019.06.019.
[47] Wu, Qingxia, Yao, Kuan, Liu, Zhenyu, Li, Longfei, Zhao, Xin, Wang, Shuo, Shang, Honglei, Lin, Yusong, Wen, Zejun, Tian, Jie, Wang, Meiyun. Radiomics analysis of placenta on T2WI facilitates prediction of postpartum haemorrhage: A multicentre study. EBIOMEDICINE[J]. 2019, 第 3 作者50: 355-365, http://dx.doi.org/10.1016/j.ebiom.2019.11.010.
[48] Li, Longfei, Mu, Wei, Wang, Yaning, Liu, Zhenyu, Liu, Zehua, Wang, Yu, Ma, Wenbin, Kong, Ziren, Wang, Shuo, Zhou, Xuezhi, Wei, Wei, Cheng, Xin, Lin, Yusong, Tian, Jie. A Non-invasive Radiomic Method Using F-18-FDG PET Predicts Isocitrate Dehydrogenase Genotype and Prognosis in Patients With Glioma. FRONTIERS IN ONCOLOGY[J]. 2019, 第 4 作者9: https://www.webofscience.com/wos/woscc/full-record/WOS:000501792200001.
[49] Ziren Kong, Yusong Lin, Chendan Jiang, Longfei Li, Zehua Liu, Yuekun Wang, Congxin Dai, Delin Liu, Xuying Qin, Yu Wang, Zhenyu Liu, Xin Cheng, Jie Tian, Wenbin Ma. 18F-FDG-PET-based Radiomics signature predicts MGMT promoter methylation status in primary diffuse glioma. CANCER IMAGING[J]. 2019, 第 11 作者19(1): 1-10, http://dx.doi.org/10.1186/s40644-019-0246-0.
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[108] Zhong, Chongguang, Bai, Lijun, Dai, Ruwei, Xue, Ting, Wang, Hu, Feng, Yuanyuan, Liu, Zhenyu, You, Youbo, Chen, Shangjie, Tian, Jie. Modulatory effects of acupuncture on resting-state networks: A functional MRI study combining independent component analysis and multivariate granger causality analysis. JOURNAL OF MAGNETIC RESONANCE IMAGING[J]. 2012, 第 7 作者35(3): 572-581, https://www.webofscience.com/wos/woscc/full-record/WOS:000300690400010.
[109] Liu Zhenyu, Tian Jie, Dai Ruwei. Dysfunctional whole brain networks in mild cognitive impairment patients: an fMRI study. SPIE MEDICAL IMAGING. 2012, 第 1 作者http://ir.ia.ac.cn/handle/173211/5483.
[110] Liu, Zhenyu, Zhang, Yumei, Yan, Hao, Bai, Lijun, Dai, Ruwei, Wei, Wenjuan, Zhong, Chongguang, Xue, Ting, Wang, Hu, Feng, Yuanyuan, You, Youbo, Zhang, Xinghu, Tian, Jie. Altered topological patterns of brain networks in mild cognitive impairment and Alzheimer's disease: A resting-state fMRI study. PSYCHIATRY RESEARCH-NEUROIMAGING[J]. 2012, 第 1 作者202(2): 118-125, http://dx.doi.org/10.1016/j.pscychresns.2012.03.002.
[111] You, Youbo, Bai, Lijun, Dai, Ruwei, Zhong, Chongguang, Xue, Ting, Wang, Hu, Liu, Zhenyu, Wei, Wenjuan, Tian, Jie. Acupuncture Induces Divergent Alterations of Functional Connectivity within Conventional Frequency Bands: Evidence from MEG Recordings. PLOS ONE[J]. 2012, 第 7 作者7(11): https://doaj.org/article/00798b2c43aa4046af9daeaafe7adf77.
[112] Liu Zhenyu, Tian Jie, Dai Ruwei. Differential neural responses to acupuncture revealed by MEG using wavelet-based time-frequency analysis: A pilot study. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBS). 2011, 第 1 作者7099-7102, http://ir.ia.ac.cn/handle/173211/5426.
[113] Dai Ruwei, Liu Zhenyu, Tian Jie. Exploring the evolution of post-acupuncture resting-state networks combining ICA and multivariate Granger causality. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBS). 2011, 第 2 作者2813-2816, http://ir.ia.ac.cn/handle/173211/5429.
[114] Xue, Ting, Bai, Lijun, Chen, Shangjie, Zhong, Chongguang, Feng, Yuanyuan, Wang, Hu, Liu, Zhenyu, You, Youbo, Cui, Fangyuan, Ren, Yanshuang, Tian, Jie, Liu, Yijun. Neural specificity of acupuncture stimulation from support vector machine classification analysis. MAGNETIC RESONANCE IMAGING[J]. 2011, 第 7 作者29(7): 943-950, http://dx.doi.org/10.1016/j.mri.2011.03.003.
[115] Feng, Yuanyuan, Bai, Lijun, Zhang, Wensheng, Xue, Ting, Ren, Yanshuang, Zhong, Chongguang, Wang, Hu, You, Youbo, Liu, Zhenyu, Dai, Jianping, Liu, Yijun, Tian, Jie. Investigation of Acupoint Specificity by Multivariate Granger Causality Analysis From Functional MRI Data. JOURNAL OF MAGNETIC RESONANCE IMAGING[J]. 2011, 第 9 作者34(1): 31-42, http://www.irgrid.ac.cn/handle/1471x/975035.
[116] Feng, Yuanyuan, Bai, Lijun, Ren, Yanshuang, Wang, Hu, Liu, Zhenyu, Zhang, Wensheng, Tian, Jie. Investigation of the large-scale functional brain networks modulated by acupuncture. MAGNETIC RESONANCE IMAGING[J]. 2011, 第 5 作者29(7): 958-965, http://dx.doi.org/10.1016/j.mri.2011.04.009.
[117] Bai, Lijun, Tian, Jie, Zhong, Chongguang, Xue, Ting, You, Youbo, Liu, Zhenyu, Chen, Peng, Gong, Qiyong, Ai, Lin, Qin, Wei, Dai, Jianping, Liu, Yijun. Acupuncture modulates temporal neural responses in wide brain networks: evidence from fMRI study. MOLECULAR PAIN[J]. 2010, 第 6 作者6(1): http://www.irgrid.ac.cn/handle/1471x/974991.
[118] Zhenyu Liu, Jiangang Liu, Huijuan Yuan, Taiyuan Liu, Xingwei Cui, Zhenchao Tang, Yang Du, Meiyun Wang, Yusong Lin, Jie Tian. Identification of T2DM Patients Associated Cognitive Dysfunction Using Whole Brain Functional Connectivity. GENOMICS, PROTEOMICS & BIOINFORMATICS. 第 1 作者http://dx.doi.org/10.1016/j.gpb.2019.09.002.

（1） Targeting Mechanisms of Typical Indications of Acupuncture, Springer, 2017-08, 第 1 作者
（2） Radiomics in medical imaging—detection, extraction and segmentation, Springer, 2018-01, 第 3 作者

   

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