基本信息
魏靖伟 女 硕导 中国科学院自动化研究所
电子邮件： weijingwei2014@ia.ac.cn
通信地址： 北京市海淀区中关村东路95号智能化大厦9层
邮政编码：
电子邮件： weijingwei2014@ia.ac.cn
通信地址： 北京市海淀区中关村东路95号智能化大厦9层
邮政编码：
招生信息
招生专业
081104-模式识别与智能系统
083100-生物医学工程
0812J3-生物信息学
083100-生物医学工程
0812J3-生物信息学
招生方向
智能生物医学影像
图像处理与分析
影像组学及多组学
图像处理与分析
影像组学及多组学
教育背景
2014-07--2019-06 中国科学院大学 博士学位
工作经历
工作简历
2021-07~现在, 中国科学院自动化研究所, 副研究员
2019-07~2021-07,中国科学院自动化研究所, 助理研究员
2019-07~2021-07,中国科学院自动化研究所, 助理研究员
社会兼职
2023-06-16-今,海峡两岸医药卫生交流协会肿瘤学分会, 青年副主任委员
2023-06-09-今,中国人工智能学会智能光学成像专业委员会, 委员
2023-01-01-今,《iLiver》期刊, 青年编委
2022-07-30-今,《工医艺的可视计算（英文）》期刊, 青年编委
2023-06-09-今,中国人工智能学会智能光学成像专业委员会, 委员
2023-01-01-今,《iLiver》期刊, 青年编委
2022-07-30-今,《工医艺的可视计算（英文）》期刊, 青年编委
出版信息
发表论文
[1] Jingwei Wei, Meng Niu, Ouyang Yabo, Yu Zhou, Xiaoke Ma, Xue Yang, Hanyu Jiang, Hui Hui, Hongyi Cao, Binwei Duan, Hongjun Li, Dawei Ding, Jie Tian. Advances in artificial intelligence techniques drive the application of radiomics in the clinical research of hepatocellular carcinoma. 国际肝胆健康(英文)[J]. 2022, 第 1 作者1(1): 49-54, http://lib.cqvip.com/Qikan/Article/Detail?id=7107374881.
[2] Zhang, Shuaitong, Huang, Shengyu, He, Wei, Wei, Jingwei, Huo, Lei, Jia, Ningyang, Lin, Jianbo, Tang, Zhenchao, Yuan, Yunfei, Tian, Jie, Shen, Feng, Li, Jun. Radiomics-Based Preoperative Prediction of Lymph Node Metastasis in Intrahepatic Cholangiocarcinoma Using Contrast-Enhanced Computed Tomography. ANNALS OF SURGICAL ONCOLOGY[J]. 2022, 第 4 作者29(11): 6786-6799, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000820535000005.
[3] Zhang, Shuaitong, Huang, Shengyu, He, Wei, Wei, Jingwei, Huo, Lei, Jia, Ningyang, Lin, Jianbo, Tang, Zhenchao, Yuan, Yunfei, Tian, Jie, Shen, Feng, Li, Jun. ASO Visual Abstract: Radiomics-Based Preoperative Prediction of Lymph Node Metastasis in Intrahepatic Cholangiocarcinoma Using Contrast-Enhanced Computed Tomography. ANNALS OF SURGICAL ONCOLOGY. 2022, 第 4 作者29(11): 6802-6803, http://dx.doi.org/10.1245/s10434-022-12082-2.
[4] Wei, JingWei, Fu, SiRui, Zhang, Jie, Gu, DongSheng, Li, XiaoQun, Chen, XuDong, Zhang, ShuaiTong, He, XiaoFei, Yan, JianFeng, Lu, LiGong, Tian, Jie. CT-based radiomics to predict development of macrovascular invasion in hepatocellular carcinoma: A multicenter study. HEPATOBILIARY & PANCREATIC DISEASES INTERNATIONAL[J]. 2022, 第 1 作者21(4): 325-333, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=7271040&detailType=1.
[5] Wei, Jingwei, Ji, Qian, Gao, Yu, Yang, Xiaozhen, Guo, Donghui, Gu, Dongsheng, Yuan, Chunwang, Tian, Jie, Ding, Dawei. A multi-scale, multi-region and attention mechanism-based deep learning framework for prediction of grading in hepatocellular carcinoma. MEDICAL PHYSICS[J]. 2022, 第 1 作者50(4): http://dx.doi.org/10.1002/mp.16127.
[6] Jiang, Hanyu, Wei, Jingwei, Fu, Fangfang, Wei, Hong, Qin, Yun, Duan, Ting, Chen, Weixia, Xie, Kunlin, Lee, Jeong Min, Bashir, Mustafa R, Wang, Meiyun, Song, Bin, Tian, Jie. Predicting microvascular invasion in hepatocellular carcinoma: A dual-institution study on gadoxetate disodium-enhanced MRI. LIVER INTERNATIONAL[J]. 2022, 第 2 作者42(5): 1158-1172, http://dx.doi.org/10.1111/liv.15231.
[7] Jingwei Wei, Meng Niu, Ouyang Yabo, Yu Zhou, Xiaoke Ma, Xue Yang, Hanyu Jiang, Hui Hui, Hongyi Cao, Binwei Duan, Hongjun Li, Dawei Ding, Jie Tian. Advances in artificial intelligence techniques drive the application of radiomics in the clinical research of hepatocellular carcinoma. ILIVER[J]. 2022, 第 1 作者
[8] Jingwei Wei, Hanyu Jiang, Yu Zhou, Jie Tian, Felipe S Furtado, Onofrio A Catalano. Radiomics: A radiological evidence-based artificial intelligence technique to facilitate personalized precision medicine in hepatocellular carcinoma. DIGESTIVE AND LIVER DISEASE[J]. 2022, 第 1 作者http://dx.doi.org/10.1016/j.dld.2022.12.015.
[9] Wanshui Yang, Hanyu Jiang, Chao Liu, Jingwei Wei, Yu Zhou, Pengyun Gong, Bin Song, Jie Tian. Multi-Omics and Its Clinical Application in Hepatocellular Carcinoma: Current Progress and Future Opportunities. CHINESE MEDICAL SCIENCES JOURNAL[J]. 2021, 第 4 作者36(3): 173-186,
[10] Dong, Di, Tang, Zhenchao, Wang, Shuo, Hui, Hui, Gong, Lixin, Lu, Yao, Xue, Zhong, Liao, Hongen, Chen, Fang, Yang, Fan, Jin, Ronghua, Wang, Kun, Liu, Zhenyu, Wei, Jingwei, Mu, Wei, Zhang, Hui, Jiang, Jingying, Tian, Jie, Li, Hongjun. The Role of Imaging in the Detection and Management of COVID-19: A Review. IEEE REVIEWS IN BIOMEDICAL ENGINEERING. 2021, 第 14 作者14: 16-29, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000708445300006.
[11] Wei, Jingwei, Jiang, Hanyu, Zeng, Mengsu, Wang, Meiyun, Niu, Meng, Gu, Dongsheng, Chong, Huanhuan, Zhang, Yanyan, Fu, Fangfang, Zhou, Mu, Chen, Jie, Lyv, Fudong, Wei, Hong, Bashir, Mustafa R, Song, Bin, Li, Hongjun, Tian, Jie. Prediction of Microvascular Invasion in Hepatocellular Carcinoma via Deep Learning: A Multi-Center and Prospective Validation Study. CANCERS[J]. 2021, 第 1 作者13(10): http://dx.doi.org/10.3390/cancers13102368.
[12] Wei, Shengcai, Han, Yuqi, Zeng, Hanjiang, Ye, Shuai, Cheng, Jin, Chai, Fan, Wei, Jingwei, Zhang, Jianwei, Hong, Nan, Bao, Yudi, Zhou, Jing, Ye, Yingjiang, Meng, Xiaochun, Zhou, Yuwen, Deng, Yanhong, Qiu, Meng, Tian, Jie, Wang, Yi. Radiomics diagnosed histopathological growth pattern in prediction of response and 1-year progression free survival for colorectal liver metastases patients treated with bevacizumab containing chemotherapy. EUROPEAN JOURNAL OF RADIOLOGY[J]. 2021, 第 7 作者142: http://dx.doi.org/10.1016/j.ejrad.2021.109863.
[13] Zhang, Shuaitong, Chen, Zhiyuan, Wei, Jingwei, Chi, Xiaoling, Zhou, Dongjing, Ouyang, Shuman, Peng, Jing, Xiao, Huanming, Tian, Jie, Liu, Yupin. A model based on clinico-biochemical characteristics and deep learning features from MR images for assessing necroinflammatory activity in chronic hepatitis B. JOURNAL OF VIRAL HEPATITIS[J]. 2021, 第 3 作者28(11): 1656-1659, http://dx.doi.org/10.1111/jvh.13578.
[14] Wei, Jingwei, Cheng, Jin, Gu, Dongsheng, Chai, Fan, Hong, Nan, Wang, Yi, Tian, Jie. Deep learning-based radiomics predicts response to chemotherapy in colorectal liver metastases. MEDICAL PHYSICS[J]. 2021, 第 1 作者48(1): 513-522, http://dx.doi.org/10.1002/mp.14563.
[15] Wei, Jingwei, Jiang, Hanyu, Gu, Dongsheng, Niu, Meng, Fu, Fangfang, Han, Yuqi, Song, Bin, Tian, Jie. Radiomics in liver diseases: Current progress and future opportunities. LIVER INTERNATIONAL. 2020, 第 1 作者40(9): 2050-2063, http://dx.doi.org/10.1111/liv.14555.
[16] Wei, Jingwei, Han, Yuqi, Niu, Meng, Chen, Yongliang, Wang, Jian, Tian, Jie. NONINVASIVE PREDICTION OF RECURRENCE-FREE SURVIVAL AFTER SURGICAL RESECTION IN INTRAHEPATIC CHOLANGIOCARCINOMA: A MULTICENTER RADIOMICS STUDY. HEPATOLOGY[J]. 2020, 第 1 作者72: 682A-683A, https://www.webofscience.com/wos/woscc/full-record/WOS:000574027002266.
[17] Yang, Qi, Wei, Jingwei, Hao, Xiaohan, Kong, Dexing, Yu, Xiaoling, Jiang, Tianan, Xi, Junqing, Cai, Wenjia, Luo, Yanchun, Jing, Xiang, Yang, Yilin, Cheng, Zhigang, Wu, Jinyu, Zhang, Huiping, Liao, Jintang, Zhou, Pei, Song, Yu, Zhang, Yao, Han, Zhiyu, Cheng, Wen, Tang, Lina, Liu, Fangyi, Dou, Jianping, Zheng, Rongqin, Yu, Jie, Tian, Jie, Liang, Ping. Improving B-mode ultrasound diagnostic performance for focal liver lesions using deep learning: A multicentre study. EBIOMEDICINE[J]. 2020, 第 2 作者56: https://doaj.org/article/47107e92e01a409e9fea1a6ebc4f149f.
[18] Zhang, Gumuyang, Han, Yuqi, Wei, Jingwei, Qi, Yafei, Gu, Dongsheng, Lei, Jing, Yan, Weigang, Xiao, Yu, Xue, Huadan, Feng, Feng, Sun, Hao, Jin, Zhengyu, Tian, Jie. Radiomics Based on MRI as a Biomarker to Guide Therapy by Predicting Upgrading of Prostate Cancer From Biopsy to Radical Prostatectomy. JOURNAL OF MAGNETIC RESONANCE IMAGING[J]. 2020, 第 3 作者52(4): 1239-1248, http://dx.doi.org/10.1002/jmri.27138.
[19] Qi, Yafei, Zhang, Shuaitong, Wei, Jingwei, Zhang, Gumuyang, Lei, Jing, Yan, Weigang, Xiao, Yu, Yan, Shuang, Xue, Huadan, Feng, Feng, Sun, Hao, Tian, Jie, Jin, Zhengyu. Multiparametric MRI-Based Radiomics for Prostate Cancer Screening With PSA in 4-10 ng/mL to Reduce Unnecessary Biopsies. JOURNAL OF MAGNETIC RESONANCE IMAGING[J]. 2020, 第 3 作者51(6): 1890-1899, http://dx.doi.org/10.1002/jmri.27008.
[20] 韩玉齐, 魏靖伟, 蒋涵羽, 牛猛, 刘兵, 付芳芳, 顾东升, 郝小涵, 李宏军, 宋彬, 田捷. 影像组学研究进展及其在肝癌中的临床应用. 中国科学:生命科学[J]. 2020, 第 2 作者50(11): 1309-1320, https://www.sciengine.com/doi/10.1360/SSV-2019-0230.
[21] Wang, Wentao, Gu, Dongsheng, Wei, Jingwei, Ding, Ying, Yang, Li, Zhu, Kai, Luo, Rongkui, Rao, ShengXiang, Tian, Jie, Zeng, Mengsu. A radiomics-based biomarker for cytokeratin 19 status of hepatocellular carcinoma with gadoxetic acid-enhanced MRI. EUROPEAN RADIOLOGY[J]. 2020, 第 3 作者30(5): 3004-3014, https://www.webofscience.com/wos/woscc/full-record/WOS:000510295000003.
[22] Wei, Jingwei, Jiang, Hanyu, Gu, Dongsheng, Zeng, Mengsu, Wang, Meiyun, Song, Bin, Tian, Jie. DEEP LEARNING RADIOMICS FOR PREOPERATIVE PREDICTION OF MICROVASCULAR INVASION IN HEPATOCELLULAR CARCINOMA: A MULTICENTER AND PROSPECTIVE VALIDATION STUDY. HEPATOLOGY. 2020, 第 1 作者72: 677A-678A, https://www.webofscience.com/wos/woscc/full-record/WOS:000574027002258.
[23] Han, Yuqi, Chai, Fan, Wei, Jingwei, Yue, Yali, Cheng, Jin, Gu, Dongsheng, Zhang, Yinli, Tong, Tong, Sheng, Weiqi, Hong, Nan, Ye, Yingjiang, Wang, Yi, Tian, Jie. Identification of Predominant Histopathological Growth Patterns of Colorectal Liver Metastasis by Multi-Habitat and Multi-Sequence Based Radiomics Analysis. FRONTIERS IN ONCOLOGY[J]. 2020, 第 3 作者10: https://doaj.org/article/0afdf2f175604fd0bda7d6dd19639e00.
[24] Gu, Dongsheng, Xie, Yongsheng, Wei, Jingwei, Li, Wencui, Ye, Zhaoxiang, Zhu, Zhongyuan, Tian, Jie, Li, Xubin. MRI-Based Radiomics Signature: A Potential Biomarker for Identifying Glypican 3-Positive Hepatocellular Carcinoma. JOURNAL OF MAGNETIC RESONANCE IMAGING[J]. 2020, 第 3 作者52(6): 1679-1687, http://dx.doi.org/10.1002/jmri.27199.
[25] Wei, Jingwei, Li, Lianwang, Han, Yuqi, Gu, Dongsheng, Chen, Qian, Wang, Junmei, Li, Runting, Zhan, Jiong, Tian, Jie, Zhou, Dabiao. Accurate Preoperative Distinction of Intracranial Hemangiopericytoma From Meningioma Using a Multihabitat and Multisequence-Based Radiomics Diagnostic Technique. FRONTIERS IN ONCOLOGY[J]. 2020, 第 1 作者10: http://dx.doi.org/10.3389/fonc.2020.00534.
[26] Ma, Xiaohong, Wei, Jingwei, Gu, Dongsheng, Zhu, Yongjian, Feng, Bing, Liang, Meng, Wang, Shuang, Zhao, Xinming, Tian, Jie. Preoperative radiomics nomogram for microvascular invasion prediction in hepatocellular carcinoma using contrast-enhanced CT. EUROPEAN RADIOLOGY[J]. 2019, 第 2 作者29(7): 3595-3605, http://ir.ia.ac.cn/handle/173211/24406.
[27] Zhou, HaiFeng, Han, YuQi, Lu, Jian, Wei, JingWei, Guo, JinHe, Zhu, HaiDong, Huang, Ming, Ji, JianSong, Lv, WeiFu, Chen, Li, Zhu, GuangYu, Jin, ZhiCheng, Tian, Jie, Teng, GaoJun. Radiomics Facilitates Candidate Selection for Irradiation Stents Among Patients With Unresectable Pancreatic Cancer. FRONTIERS IN ONCOLOGY[J]. 2019, 第 4 作者9: http://dx.doi.org/10.3389/fonc.2019.00973.
[28] Wei, Jingwei, Fu, Sirui, Zhang, Shuaitong, Zhang, Jie, Gu, Dongsheng, Li, Xiaoqun, Cheng, Xudong, He, Xiaofeng, Yan, Jianfeng, Lu, Ligong, Tian, Jie, Mori, K, Hahn, HK. Development and validation of a radiomics-based method for macrovascular invasion prediction in hepatocellular carcinoma with prognostic implication. MEDICAL IMAGING 2019: COMPUTER-AIDED DIAGNOSIS. 2019, 第 1 作者10950:
[29] Cheng, Jin, Wei, Jingwei, Tong, Tong, Sheng, Weiqi, Zhang, Yinli, Han, Yuqi, Gu, Dongsheng, Hong, Nan, Ye, Yingjiang, Tian, Jie, Wang, Yi. Prediction of Histopathologic Growth Patterns of Colorectal Liver Metastases with a Noninvasive Imaging Method. ANNALS OF SURGICAL ONCOLOGY[J]. 2019, 第 2 作者26(13): 4587-4598, http://dx.doi.org/10.1245/s10434-019-07910-x.
[30] Chunwang Yuan, Zhenchang Wang, Dongsheng Gu, Jie Tian, Peng Zhao, Jingwei Wei, Xiaozhen Yang, Xiaohan Hao, Di Dong, Ning He, Yu Sun, Wenfeng Gao, Jiliang Feng. Prediction early recurrence of hepatocellular carcinoma eligible for curative ablation using a Radiomics nomogram. CANCER IMAGING[J]. 2019, 第 6 作者19(1): 1-12, http://ir.ia.ac.cn/handle/173211/24458.
[31] Gu, Dongsheng, Hu, Yabin, Ding, Hui, Wei, Jingwei, Chen, Ke, Liu, Hao, Zeng, Mengsu, Tian, Jie. CT radiomics may predict the grade of pancreatic neuroendocrine tumors: a multicenter study. EUROPEAN RADIOLOGY[J]. 2019, 第 4 作者29(12): 6880-6890, http://dx.doi.org/10.1007/s00330-019-06176-x.
[32] Fu Sirui, Tian Jie, Lu Ligong, Yan Jianfeng, He Xiaofeng, Chen Xudong, Li Xiaoqun, Gu Dongsheng, Zhang Jie, Zhang Shuaitong, Wei Jingwei. Development and validation of a radiomics-based method for macrovascular invasion prediction in hepatocellular carcinoma with prognostic implication. 2019, 第 11 作者http://ir.ia.ac.cn/handle/173211/23677.
[33] Chen, Shuling, Feng, Shiting, Wei, Jingwei, Liu, Fei, Li, Bin, Li, Xin, Hou, Yang, Gu, Dongsheng, Tang, Mimi, Xiao, Han, Jia, Yingmei, Peng, Sui, Tian, Jie, Kuang, Ming. Pretreatment prediction of immunoscore in hepatocellular cancer: a radiomics-based clinical model based on Gd-EOB-DTPA-enhanced MRI imaging. EUROPEAN RADIOLOGY[J]. 2019, 第 3 作者29(8): 4177-4187, http://dx.doi.org/10.1007/s00330-018-5986-x.
[34] Fu, Sirui, Wei, Jingwei, Zhang, Jie, Dong, Di, Song, Jiangdian, Li, Yong, Duan, Chongyang, Zhang, Shuaitong, Li, Xiaoqun, Gu, Dongsheng, Chen, Xudong, Hao, Xiaohan, He, Xiaofeng, Yan, Jianfeng, Liu, Zhenyu, Tian, Jie, Lu, Ligong. Selection Between Liver Resection Versus Transarterial Chemoembolization in Hepatocellular Carcinoma: A Multicenter Study. CLINICAL AND TRANSLATIONAL GASTROENTEROLOGY[J]. 2019, 第 2 作者10(8): http://dx.doi.org/10.14309/ctg.0000000000000070.
[35] Han Yuqi, Xie Zhen, Zang Yali, Zhang Shuaitong, Gu Dongsheng, Wei Jingwei, Li Chao, Chen Hongyan, Du Jiang, Dong Di, Tian Jie, Zhou Dabiao, Mori K, Hahn HK. Non-invasive genotype prediction of chromosome 1p/19q co-deletion by development and validation of an MRI-based radiomics signature in lower-grade gliomas. MEDICAL IMAGING 2019: COMPUTER-AIDED DIAGNOSIS. 2019, 第 6 作者10950:
[36] Liu, Zhenyu, Wang, Shuo, Dong, Di, Wei, Jingwei, Fang, Cheng, Zhou, Xuezhi, Sun, Kai, Li, Longfei, Li, Bo, Wang, Meiyun, Tian, Jie. The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges. THERANOSTICS[J]. 2019, 第 4 作者9(5): 1303-1322, http://ir.ia.ac.cn/handle/173211/23573.
[37] Wei, Jingwei, Yang, Guoqiang, Hao, Xiaohan, Gu, Dongsheng, Tan, Yan, Wang, Xiaochun, Dong, Di, Zhang, Shuaitong, Wang, Le, Zhang, Hui, Tian, Jie. A multi-sequence and habitat-based MRI radiomics signature for preoperative prediction of MGMT promoter methylation in astrocytomas with prognostic implication. EUROPEAN RADIOLOGY[J]. 2019, 第 1 作者29(2): 877-888,
[38] Guo, Donghui, Gu, Dongsheng, Wang, Honghai, Wei, Jingwei, Wang, Zhenglu, Hao, Xiaohan, Ji, Qian, Cao, Shunqi, Song, Zhuolun, Jiang, Jiabing, Shen, Zhongyang, Tian, Jie, Zheng, Hong. Radiomics analysis enables recurrence prediction for hepatocellular carcinoma after liver transplantation. EUROPEAN JOURNAL OF RADIOLOGY[J]. 2019, 第 4 作者117: 33-40, http://dx.doi.org/10.1016/j.ejrad.2019.05.010.
[39] Tan, Yan, Zhang, Shuaitong, Wei, Jingwei, Dong, Di, Wang, Xiaochun, Yang, Guoqiang, Tian, Jie, Zhang, Hui. A radiomics nomogram may improve the prediction of IDH genotype for astrocytoma before surgery. EUROPEAN RADIOLOGY[J]. 2019, 第 3 作者29(7): 3325-3337, http://ir.ia.ac.cn/handle/173211/24414.
[40] Yang, Li, Gu, Dongsheng, Wei, Jingwei, Yang, Chun, Rao, Shengxiang, Wang, Wentao, Chen, Caizhong, Ding, Ying, Tian, Jie, Zeng, Mengsu. A Radiomics Nomogram for Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma. LIVER CANCER[J]. 2019, 第 3 作者8(5): 373-386, https://www.webofscience.com/wos/woscc/full-record/WOS:000491340200006.
[41] Wei, Jingwei, Gu, Dongsheng, Dong, Di, Zhang, Shuaitong, Jin, Yushen, Tian, Jie. Preoperative prediction of microvascular invasion in HCC using radiomics on multisequence gadoxetic acid-enhanced MR images. CANCER RESEARCH[J]. 2018, 第 1 作者78(13): http://ir.ia.ac.cn/handle/173211/24388.
[42] Han, Yuqi, Xie, Zhen, Zang, Yali, Zhang, Shuaitong, Gu, Dongsheng, Zhou, Mu, Gevaert, Olivier, Wei, Jingwei, Li, Chao, Chen, Hongyan, Du, Jiang, Liu, Zhenyu, Dong, Di, Tian, Jie, Zhou, Dabiao. Non-invasive genotype prediction of chromosome 1p/19q co-deletion by development and validation of an MRI-based radiomics signature in lower-grade gliomas. JOURNAL OF NEURO-ONCOLOGY[J]. 2018, 第 8 作者140(2): 297-306, http://ir.ia.ac.cn/handle/173211/25721.
[43] Liu, Chuan, Luo, Jiaxiu, An, Weimin, Huang, Yifei, Wang, Guangchuan, Zou, Jialiang, Liu, Zhao, Zhou, Zhibo, Ning, Zhenyuan, Wang, Sining, Liu, Changchun, Wei, Jingwei, Wang, Shuai, Hou, Jinlin, Zhang, Yu, Tian, Jie, Zhang, Chunqing, Qi, Xiaolong, CHESS Grp. MR-Based Radiomics Signature As Surrogate of Hepatic Venous Pressure Gradient for Clinically Significant Portal Hypertension in Advanced Chronic Liver Disease: A Prospective Multicenter Study. HEPATOLOGY[J]. 2018, 第 0 作者68: 472A-473A, http://ir.ia.ac.cn/handle/173211/23061.
[44] Liu, Zhenyu, Wang, Yinyan, Liu, Xing, Du, Yang, Tang, Zhenchao, Wang, Kai, Wei, Jingwei, Dong, Di, Zang, Yali, Dai, Jianping, Jiang, Tao, Tian, Jie. Radiomics analysis allows for precise prediction of epilepsy in patients with low-grade gliomas. NEUROIMAGE-CLINICAL[J]. 2018, 第 7 作者19(19): 271-278, http://ir.ia.ac.cn/handle/173211/23184.
[45] Qi, Xiaolong, Zhang, Yu, Ning, Zhenyuan, Huang, Yifei, Zou, Jialiang, Chen, Sizhe, Liu, Chuan, Liu, Yanna, Wei, JingWei, Lu, Zhentai, Chen, Tao, Liu, Changchun, Liu, Bo, An, Weimin, Liu, Dengxiang, Peng, Baogang, Liu, Zaiyi, He, Xiaoshun, Liu, Li, Li, Zhiwei, Liu, Fuquan, Hou, Jinlin, Yang, Yongping, Tian, Jie, Chinese Portal Hypertension. Diagnostic Accuracy of Radiomics-based Hepatic Venous Pressure Gradient for Clinically Significant Portal Hypertension in Cirrhosis. HEPATOLOGY[J]. 2017, 第 9 作者66: 262A-262A, https://www.webofscience.com/wos/woscc/full-record/WOS:000412089800477.
[46] Donghui Guo, Dongsheng Gu, Honghai Wang, Jingwei Wei, Zhenglu Wang, Xiaohan Hao, Qian Ji, Shunqi Cao, Zhuolun Song, Jiabing Jiang, Zhongyang Shen, Jie Tian, Hong Zheng. Radiomics analysis enables response prediction for hepatocellular carcinoma after liver transplantation. EUROPEAN JOURNAL OF RADIOLOGY. 第 4 作者http://dx.doi.org/10.1016/j.ejrad.2019.05.010.
[2] Zhang, Shuaitong, Huang, Shengyu, He, Wei, Wei, Jingwei, Huo, Lei, Jia, Ningyang, Lin, Jianbo, Tang, Zhenchao, Yuan, Yunfei, Tian, Jie, Shen, Feng, Li, Jun. Radiomics-Based Preoperative Prediction of Lymph Node Metastasis in Intrahepatic Cholangiocarcinoma Using Contrast-Enhanced Computed Tomography. ANNALS OF SURGICAL ONCOLOGY[J]. 2022, 第 4 作者29(11): 6786-6799, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000820535000005.
[3] Zhang, Shuaitong, Huang, Shengyu, He, Wei, Wei, Jingwei, Huo, Lei, Jia, Ningyang, Lin, Jianbo, Tang, Zhenchao, Yuan, Yunfei, Tian, Jie, Shen, Feng, Li, Jun. ASO Visual Abstract: Radiomics-Based Preoperative Prediction of Lymph Node Metastasis in Intrahepatic Cholangiocarcinoma Using Contrast-Enhanced Computed Tomography. ANNALS OF SURGICAL ONCOLOGY. 2022, 第 4 作者29(11): 6802-6803, http://dx.doi.org/10.1245/s10434-022-12082-2.
[4] Wei, JingWei, Fu, SiRui, Zhang, Jie, Gu, DongSheng, Li, XiaoQun, Chen, XuDong, Zhang, ShuaiTong, He, XiaoFei, Yan, JianFeng, Lu, LiGong, Tian, Jie. CT-based radiomics to predict development of macrovascular invasion in hepatocellular carcinoma: A multicenter study. HEPATOBILIARY & PANCREATIC DISEASES INTERNATIONAL[J]. 2022, 第 1 作者21(4): 325-333, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=7271040&detailType=1.
[5] Wei, Jingwei, Ji, Qian, Gao, Yu, Yang, Xiaozhen, Guo, Donghui, Gu, Dongsheng, Yuan, Chunwang, Tian, Jie, Ding, Dawei. A multi-scale, multi-region and attention mechanism-based deep learning framework for prediction of grading in hepatocellular carcinoma. MEDICAL PHYSICS[J]. 2022, 第 1 作者50(4): http://dx.doi.org/10.1002/mp.16127.
[6] Jiang, Hanyu, Wei, Jingwei, Fu, Fangfang, Wei, Hong, Qin, Yun, Duan, Ting, Chen, Weixia, Xie, Kunlin, Lee, Jeong Min, Bashir, Mustafa R, Wang, Meiyun, Song, Bin, Tian, Jie. Predicting microvascular invasion in hepatocellular carcinoma: A dual-institution study on gadoxetate disodium-enhanced MRI. LIVER INTERNATIONAL[J]. 2022, 第 2 作者42(5): 1158-1172, http://dx.doi.org/10.1111/liv.15231.
[7] Jingwei Wei, Meng Niu, Ouyang Yabo, Yu Zhou, Xiaoke Ma, Xue Yang, Hanyu Jiang, Hui Hui, Hongyi Cao, Binwei Duan, Hongjun Li, Dawei Ding, Jie Tian. Advances in artificial intelligence techniques drive the application of radiomics in the clinical research of hepatocellular carcinoma. ILIVER[J]. 2022, 第 1 作者
[8] Jingwei Wei, Hanyu Jiang, Yu Zhou, Jie Tian, Felipe S Furtado, Onofrio A Catalano. Radiomics: A radiological evidence-based artificial intelligence technique to facilitate personalized precision medicine in hepatocellular carcinoma. DIGESTIVE AND LIVER DISEASE[J]. 2022, 第 1 作者http://dx.doi.org/10.1016/j.dld.2022.12.015.
[9] Wanshui Yang, Hanyu Jiang, Chao Liu, Jingwei Wei, Yu Zhou, Pengyun Gong, Bin Song, Jie Tian. Multi-Omics and Its Clinical Application in Hepatocellular Carcinoma: Current Progress and Future Opportunities. CHINESE MEDICAL SCIENCES JOURNAL[J]. 2021, 第 4 作者36(3): 173-186,
[10] Dong, Di, Tang, Zhenchao, Wang, Shuo, Hui, Hui, Gong, Lixin, Lu, Yao, Xue, Zhong, Liao, Hongen, Chen, Fang, Yang, Fan, Jin, Ronghua, Wang, Kun, Liu, Zhenyu, Wei, Jingwei, Mu, Wei, Zhang, Hui, Jiang, Jingying, Tian, Jie, Li, Hongjun. The Role of Imaging in the Detection and Management of COVID-19: A Review. IEEE REVIEWS IN BIOMEDICAL ENGINEERING. 2021, 第 14 作者14: 16-29, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000708445300006.
[11] Wei, Jingwei, Jiang, Hanyu, Zeng, Mengsu, Wang, Meiyun, Niu, Meng, Gu, Dongsheng, Chong, Huanhuan, Zhang, Yanyan, Fu, Fangfang, Zhou, Mu, Chen, Jie, Lyv, Fudong, Wei, Hong, Bashir, Mustafa R, Song, Bin, Li, Hongjun, Tian, Jie. Prediction of Microvascular Invasion in Hepatocellular Carcinoma via Deep Learning: A Multi-Center and Prospective Validation Study. CANCERS[J]. 2021, 第 1 作者13(10): http://dx.doi.org/10.3390/cancers13102368.
[12] Wei, Shengcai, Han, Yuqi, Zeng, Hanjiang, Ye, Shuai, Cheng, Jin, Chai, Fan, Wei, Jingwei, Zhang, Jianwei, Hong, Nan, Bao, Yudi, Zhou, Jing, Ye, Yingjiang, Meng, Xiaochun, Zhou, Yuwen, Deng, Yanhong, Qiu, Meng, Tian, Jie, Wang, Yi. Radiomics diagnosed histopathological growth pattern in prediction of response and 1-year progression free survival for colorectal liver metastases patients treated with bevacizumab containing chemotherapy. EUROPEAN JOURNAL OF RADIOLOGY[J]. 2021, 第 7 作者142: http://dx.doi.org/10.1016/j.ejrad.2021.109863.
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[30] Chunwang Yuan, Zhenchang Wang, Dongsheng Gu, Jie Tian, Peng Zhao, Jingwei Wei, Xiaozhen Yang, Xiaohan Hao, Di Dong, Ning He, Yu Sun, Wenfeng Gao, Jiliang Feng. Prediction early recurrence of hepatocellular carcinoma eligible for curative ablation using a Radiomics nomogram. CANCER IMAGING[J]. 2019, 第 6 作者19(1): 1-12, http://ir.ia.ac.cn/handle/173211/24458.
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发表著作
（1） Radiomics in medical imaging—detection, extraction and segmentation, Springer, 2017-10, 第 5 作者
（2） Radiomics and Its Clinical Application: Artificial Intelligence and Medical Big Data, Elsevier, 2021-07, 第 4 作者
（2） Radiomics and Its Clinical Application: Artificial Intelligence and Medical Big Data, Elsevier, 2021-07, 第 4 作者
科研活动
科研项目
（ 1 ） 多模态深度学习网络构建用于术前预测肝癌微血管侵犯, 负责人, 国家任务, 2020-01--2024-12
（ 2 ） 肝癌智能化精准外科的共性关键技术体系的建立, 负责人, 国家任务, 2021-01--2025-12
（ 3 ） 肝癌肝移植诊疗关键分子智能可视化研究, 负责人, 国家任务, 2022-01--2025-12
（ 4 ） 常见恶性肿瘤多维度早诊精准成像技术的研发, 负责人, 国家任务, 2022-01--2024-12
（ 5 ） 基于深度学习影像组学方法的脑膜瘤病理分级及增值指数预测研究, 负责人, 地方任务, 2020-07--2023-06
（ 6 ） 消化肿瘤多维度信息HFRT动态数据库平台的构建和应用, 负责人, 国家任务, 2023-01--2025-12
（ 7 ） 多维组学和病理特征交互的肝细胞癌影像预后分型关键问题研究, 负责人, 国家任务, 2023-01--2027-12
（ 8 ） 靶向FABP4的载药纳米成像探针在胆管癌淋巴结转移的诊断与治疗中的应用研究, 负责人, 地方任务, 2023-01--2026-12
（ 9 ） 基于多模态影像组学和液态活检多组学的肝门胆管癌人工智能辅助HAIC疗效预测和评效模型研究, 负责人, 国家任务, 2022-01--2025-12
（ 10 ） 基于深度学习影像组学的肝细胞癌微血管侵犯预测研究, 负责人, 国家任务, 2021-01--2023-12
（ 11 ） 融合超声影像组学和lncRNA转录组学多维信息辅助中晚期肝癌精准诊疗的方法研究, 负责人, 国家任务, 2023-01--2027-12
（ 2 ） 肝癌智能化精准外科的共性关键技术体系的建立, 负责人, 国家任务, 2021-01--2025-12
（ 3 ） 肝癌肝移植诊疗关键分子智能可视化研究, 负责人, 国家任务, 2022-01--2025-12
（ 4 ） 常见恶性肿瘤多维度早诊精准成像技术的研发, 负责人, 国家任务, 2022-01--2024-12
（ 5 ） 基于深度学习影像组学方法的脑膜瘤病理分级及增值指数预测研究, 负责人, 地方任务, 2020-07--2023-06
（ 6 ） 消化肿瘤多维度信息HFRT动态数据库平台的构建和应用, 负责人, 国家任务, 2023-01--2025-12
（ 7 ） 多维组学和病理特征交互的肝细胞癌影像预后分型关键问题研究, 负责人, 国家任务, 2023-01--2027-12
（ 8 ） 靶向FABP4的载药纳米成像探针在胆管癌淋巴结转移的诊断与治疗中的应用研究, 负责人, 地方任务, 2023-01--2026-12
（ 9 ） 基于多模态影像组学和液态活检多组学的肝门胆管癌人工智能辅助HAIC疗效预测和评效模型研究, 负责人, 国家任务, 2022-01--2025-12
（ 10 ） 基于深度学习影像组学的肝细胞癌微血管侵犯预测研究, 负责人, 国家任务, 2021-01--2023-12
（ 11 ） 融合超声影像组学和lncRNA转录组学多维信息辅助中晚期肝癌精准诊疗的方法研究, 负责人, 国家任务, 2023-01--2027-12