魏靖伟

魏靖伟  /  

  • 职  称: 副研究员
  • 邮  编: 100190
  • 电子邮件: weijingwei2014@ia.ac.cn
  • 部门/实验室: 紫东太初大模型研究中心
  • 通讯地址: 北京市海淀区中关村东路95号

个人简历

魏靖伟,女,紫东太初大模型研究中心,副研究员,硕士生导师。任中国人工智能学会智能光学成像专委会委员、中国医师协会肝癌专业委员会人工智能学组委员、海峡两岸医药卫生交流协会肿瘤学分会青年副主任委员、iLiver/Clinical Surgical Oncology/Radiology Science/VCIBA 期刊编委、The Lancet Digital Health, NEJM AI, IEEE JBHI, eClinicalMedicine, Advanced Science等SCI 期刊审稿人。主持和作为子课题负责人主持科技部重点研发计划、国自然重大和重点项目等15项,在研经费759万余元。

    围绕医学多模态大模型、影像和多组学人工智能分析,与北京友谊医院、中国医学科学院肿瘤医院、中国人民解放军总医院、协和医院、复旦中山医院和华西医院等二十余家三甲医院(放射、介入、外科)开展相关科研工作,累计收集医学影像、文本和测序数据共计十万余例。主要研究方向包括:影像组学和多组学分析,以及医学多模态大模型。以第一作者和通讯作者(含共同)发表综合类和医工交叉领域论文40余篇,其中包括CNS子刊和肿瘤学领域顶级期刊论文,以及人工智能与计算机领域顶级会议论文,包括Hepatology、Science Advances、Ebiomedicine等医学与生命科学领域高水平期刊,以及CVPR、ACM Multimedia、MICCAI等人工智能、计算机视觉和多模态领域国际CCF-A类会议,总引用次数3967次,H-index: 26。作为主要作者发表Elsevier 出版医学影像计算领域顶会系列著作1部和Springer 出版的智能系统系列著作/章节1 部。

    在多模态大模型的医学应用研究方面,面向视觉语言大模型细粒度对齐训练、微调和推理,结合知识图谱、RAG、推理强化学习和智能体模块,已构建多个医学通用L1模型以及消化肿瘤诊断L2专用模型。作为骨干核心成员参与中国科学院先导专项——科学基础大模型的研发工作。

    课题组拥有丰富的临床合作资源、大规模医学数据平台和充足GPU算力条件,主要研究方向包括医学多模态大模型、医学视觉语言模型(VLM)、影像组学、多组学分析及人工智能临床应用。

 一、主要工作经历

起止年月

工作单位

职务/职称

2019年7月至2021年7月

中国科学院自动化研究所

助理研究员

2021年7月至今

中国科学院自动化研究所

副研究员

  二、重要学术任(兼)职情况

起止年月

名     称

职务

2025年9月起

中国医师协会肝癌专业委员会人工智能学组

委员

2023年6月起

中国人工智能学会智能光学成像专业委员会

委员

2023年6月起

海峡两岸医药卫生交流协会肿瘤学分会

青年副主任

委员

2025年6月起

《Clinical Surgical Oncology》期刊

编委

2023年1月起

《iLiver》期刊

青年编委

2022年7月起

《工医艺的可视计算(英文)》期刊

青年编委

2022年7月起

《Radiology Science》期刊

青年编委

  三、海外经历

类型

起止时间

机构名称

国家

主要内容

访学

2014-02-25 至2014-06-25

Université d‘Orléans

法国

开发新型高光谱成像系统,辅助外科医生进行组织检测和诊断。系统利用液晶可调滤光片覆盖的二维成像器构建三维高光谱图像立方体,提供数百个光谱带,对准不同波段的图像,尤其是面对软组织移动,采用随机抽样一致性( RANSAC )等算法进行图像对准和校正。

  四、发表论文及著作情况(第一作者/通讯)

序号

作者(全部)

题目

发表情况


Runxun   Zhang#, Yizhou Liu, Dongrui Li, Bo Xu*,   Jingwei Wei#,*

MorphSeek: Fine-grained   Latent Representation-Level Policy Optimization for Deformable Image   Registration

CVPR highlight 2026

CCF-A 计算机视觉顶会


Zhi-Cheng   Jin#,Jingwei Wei#, Yu-Dong Xiao#, Anfeng Si#, Jian-Jian Chen, Xiao-Li Zhu, Jin-Ze Li, Fang Nie, Rong   Ding, Hai-Feng Zhou, Wei Ding, Bin-Yan Zhong, Yangyang Xie, Hong-Tao Hu,   Guo-Wen Yin, Jian-Song Ji, Wei-Hua Zhang, Hai-Bin Shi, Jian-Bing Wu, Guo-Hui   Xu, Chun-Wang Yuan, Wei-Zhu Yang, Rui-Bao Liu, Ye-Ming Wu, Chuan-Sheng Zheng,   Ai-Bing Xu, Ming-Sheng Huang, Jia-Ping Li, Li Chen, Shu-Wei Wen, Yu-Qing   Wang, Shan-Zhi Gu, Dongrui Li, Duo Wang, Guan-Hui Zhou, Wei-Dong Wang,   Zhenwei Peng, Xinying Wang*, Hai-Dong Zhu*, Jie Tian*, Gao-Jun Teng*.

Decoding Tumor   Heterogeneity with Imaging Biomarkers Predicts Response to TACE plus   Immunotherapy and Targeted Therapy in HCC

Hepatology. 2025 Nov 10.   doi: 10.1097/HEP.0000000000001593.


Yangyang   Xie#, Fang Wang#,Jingwei Wei#, Zefeng Shen#, Xue Song, Yali Wang, Hongjun Chen, Liye Tao, Junhao   Zheng, Lanfen Lin, Ziwei Niu, Xiaojun Guan, Tianhan Zhou, Zhengao Xu, Yang   Liu, Danwei Du, Haoyu Pan, Shihao Li, Wenbin Ji, Wei Zhou, Yunjun Yang, Jie   Tian*, Junjie Xu*, Hongjie Hu*, Xiao Liang*

Noninvasive prognostic   classification of ITH in HCC with multi-omics insights and therapeutic   implications

Sci Adv. 2025 May   2;11(18):eads8323.


Zizhi   Chen#, Xinyu Zhang#, Minghao Han#, Yizhou Liu, Ziyun Qian, Weifeng Zhang,   Xukun Zhang,Jingwei Wei*, Lihua Zhang*

VLM-based Prompts as the   Optimal Assistant for Unpaired Histopathology Virtual Staining

ACM MM 2025

CCF-A多媒体领域顶会

1

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, 2023, 55(7): 833-847. IF=4.5

2

Jingwei Wei#, Qian Ji#, Yu Gao#, Xiaozhen Yang#, Donghui Guo#, Dongsheng Gu, Chunwang   Yuan*, Jie Tian*, Dawei Ding*

A multi‐scale, multi‐region and   attention mechanism‐based deep learning framework for prediction of   grading in hepatocellular carcinoma

Medical Physics, 2023,   50(4): 2290-2302. IF=3.8

3

Jingwei   Wei#, Sirui Fu#, Jie Zhang#,   Dongsheng Gu#, Xiaoqun Li, Xudong Chen, Shuaitong Zhang, Xiaofei   He, Jianfeng Yan, Ligong Lu*, Jie Tian*

CT-based radiomics to   predict development of macrovascular invasion in hepatocellular carcinoma: A   multicenter study

Hepatobiliary &   Pancreatic Diseases International, 2022, 21(4): 325-333.  IF=3.3

4

Jingwei   Wei#, Hanyu Jiang#, Mengsu Zeng#,   Meiyun Wang, Meng Niu, Dongsheng Gu, Huanhuan Chong, Yanyan Zhang, Fangfang   Fu, Mu Zhou, Jie Chen, Fudong Lyv, Hong Wei, Mustafa R. Bahir, Bin Song,   Hongjun Li*, Jie Tian*

Prediction of   microvascular invasion in hepatocellular carcinoma via deep learning: a   multi-center and prospective validation study

Cancers, 2021, 13(10),   2368. IF=5.2

5

Jingwei   Wei#, Lianwang Li#,   Yuqi Han#, Dongsheng   Gu, Qian Chen, Junmei Wang, Runting Li, Jiong Zhan, Jie Tian*, Dabiao Zhou*

Accurate preoperative   distinction of intracranial hemangiopericytoma from meningioma using a   multihabitat and multisequence-based radiomics diagnostic technique

Frontiers in Oncology,   2021, 10:534. IF=4.7

6

Jingwei   Wei#, Hanyu Jiang#, Dongsheng Gu#,   Meng Niu, Fangfang Fu, Yuqi Han, Bin Song, Jie Tian*

Radiomics in liver   diseases: Current progress and future opportunities

Liver International, 2020,   00:1-14. IF=6.7

7

Jingwei   Wei#, Jin Cheng#,   Dongsheng Gu#, Fan   Chai, Nan Hong, Yi Wang*, Jie Tian*

Deep learning‐based radiomics   predicts response to chemotherapy in colorectal liver metastases

Medical Physics, 2020,   48(1):531-522. IF=3.8

8

Jingwei   Wei#, Guoqiang Yang#, Xiaohan hao, Dongsheng Gu, Yan Tan, Xiaochun Wang,   Di Dong, Shuaitong Zhang, Le Wang, Hui Zhang*, Jie Tian*

A multi-sequence and   habitat-based MRI radiomics signature for preoperative prediction of MGMT   promoter methylation in astrocytomas with prognostic implication

European Radiology, 2019,   29(2):877-888. IF=5.9

9

Hanyu Jiang#,Jingwei Wei#, Fangfang Fu#, Hong Wei, Yun Qin, Ting Duan, Weixia Chen, Kunlin   Xie, Jeong Min Lee, Mustafa R. Bashir, Meiyun Wang, Bin Song*, Jie Tian*

Predicting microvascular   invasion in hepatocellular carcinoma: a dual-institution study on gadoxetate   disodium-enhanced MRI

Liver International, 2022,   42(5): 1158-1172. IF=6.7

10

Qi Yang#,Jingwei Wei#, Xiaohan Hao#, Dexing Kong#,   Xiaoling Yu, Tianan Jiang, Junqing Xi, Wenjia Cai, Yanchun Luo, Xiang Jing,   Yilin Yang, Zhigang Cheng, Jinyu Wu, Huiping Zhang, Jintang Liao, Pei Zhou,   Yu Song, Yao Zhang, Zhiyu Han, Wen Cheng, Lina Tang, Fangyi Liu, Jianping   Dou, Rongqin Zheng, Jie Yu*, Jie Tian*, Ping Liang*

Improving B-mode   ultrasound diagnostic performance for focal liver lesions using deep   learning: A multicentre study

Ebiomedicine, 2020,   56:102777. IF=11.1

11

Jin Cheng#,Jingwei Wei#, Tong Tong#, Weiqi Sheng#,   Yinli Zhang, Yuqi Han, Dongsheng Gu, Nan Hong, Yingjiang Ye, Jie Tian*,   Yi Wang*

Prediction of   Histopathologic Growth Patterns of Colorectal Liver Metastases with a   Noninvasive Imaging Method

Annals of Surgical   Oncology, 2019, 26:4587-4598. IF=3.7

12

Sirui Fu#,Jingwei Wei#, Jie Zhang#, Di Dong#,   Jiangdian Song, Yong Li, Chongyang Duan, Shuaitong Zhang, Xiaoqun Li,   Dongsheng Gu, Xudong Chen, Xiaohan Hao, Xiaofeng He, Jianfeng Yan, Zhenyu   Liu, Jie Tian*, Ligong Lu*

Selection between Liver   Resection versus Transarterial Chemoembolization in Hepatocellular Carcinoma:   A Multicenter Study

Clinical and Translational   Gastroenterology, 2019, 10:e-00070. IF=3.6

13

Xiaohong Ma#,Jingwei Wei#,Dongsheng   Gu, Yongjian Zhu, Bing Feng, Meng Liang, Shuang Wang, Xinming Zhao*,   Jie Tian*.

Preoperative Radiomics   Nomogram for Microvascular Invasion Prediction in Hepatocellular Carcinoma   using Contrast-enhanced CT

European Radiology, 2019,   29(7): 3595-3605. IF=5.9.

14

Yuqi Han#, Fan   Chai#,Jingwei Wei#,   Yali Yue#, Jin Cheng, Dongsheng Gu, Yinli Zhang, Tong Tong, Weiqi   Sheng, Nan Hong, Yingjiang Ye, Yi Wang*, Jie Tian*

Identification of   predominant histopathological growth patterns of colorectal liver metastasis   by multihabitate and multisequence based radiomics analysis

Frontiers in Oncology,   2020, 10:1363. IF=4.7

15

Dongshegn Gu#, Yongsheng Xie#,Jingwei Wei#, Wencui Li#, Zhaoxiang Ye, Zhongyuan Zhu, Jie Tian*, Xubin Li*

MRI-Based Radiomics   Signature: A Potential Biomarker for Identifying Glypican 3-Positive   Hepatocellular Carcinoma

Journal of Magnetic   Resonance Imaging, 2020, 52(6):1679-1687. IF=4.4

16

Gumuyang Zhang#, Yuqi Han#,Jingwei Wei#,Yafei   Qi, Dongsheng Gu, Jing Lei, Weigang Yan, Yu Xiao, Huadan Xue, Feng Feng, Hao   Sun*, Zhengyu Jin*, Jie Tian*

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, 2020, 52(4):1239-1248. IF=4.4

17

Li Yang#, Dongsheng Gu#,Jingwei Wei#, Chun Yang, Shengxiang Rao, Wentao Wang,   Caizhong Chen, Ying Ding, Jie Tian*, Mengzu Zeng*

A Radiomics Nomogram for   Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma

Liver Cancer, 2019, 8(5):   373-386. IF=13.8

18

Shuaitong Zhang#, Shengyu Huang#, Wei He#,Jingwei Wei#, Lei Huo, Ningyang Jia, Jianbo Lin,   Zhenchao Tang, Yunfei Yuan, Jie Tian*, Feng Shen*, Jun   Li*

Radiomics-Based   Preoperative Prediction of Lymph Node Metastasis in Intrahepatic   Cholangiocarcinoma Using Contrast-Enhanced Computed Tomography

Annals of Surgical   Oncology, 2022, 29(11): 6786-6799. IF=3.7

19

Haifeng Zhou#,   Yuqi Han#, Jian Lu#,Jingwei Wei#, Jinhe Guo#, Haidong Zhu#,   Ming Huang, Jiansong Ji, Weifu Lv, Li Chen, Guangyu Zhu, Zhicheng Jin, Jie   Tian*, Gaojun Teng*

Radiomics facilitates   candidate selection for irradiation stents among patients with unresectable   pancreatic cancer

Forntiers in Oncology, 2019, 9:973. IF=4.7

20

Zhenyu Liu#,   Shuo Wang#, Di Dong#,Jingwei Wei#, Cheng Fang#, Xuezhi Zhou, Kai   Sun, Longfei Li, Bo Li*, Meiyun Wang*, Jie Tian*

The Applications of Radiomics in   Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges

Theranostics, 2019; 9(5): 1303-1322. IF=12.4

21

Haopeng Kuang, Dingkang   Yang, Shunli Wang, Xue Yang, Hongjun Li,Jingwei   Wei*, Lihua Zhang*

Adaptive Multi-Phase Liver   Tumor Segmentation with Multi-Scale Supervision

IEEE Signal Processing Letters, 2024.IF=3.9

22

Jie Tian, Di Dong, Zhenyu   Liu,Jingwei Wei

Radiomics and Its Clinical   Application: Artificial Intelligence and Medical Big Data

ISBN: 9780128181010, Imprint: Academic Press, Published Date: 3rd   June 2021

23

Jie Tian, Di Dong, Zhenyu   Liu, Yali Zang,Jingwei Wei,   Jiangdian Song, Wei Mu, Shuo Wang, Mu Zhou

Radiomics in medical   imaging—detection, extraction and segmentation[M]//Artificial Intelligence in   Decision Support Systems for Diagnosis in Medical Imaging

Springer, Cham, 2018: 267-333

   五、国内外学术会议

序号

论文题目

类型

会议名称

1

Development and validation of a   radiomics-based method for macrovascular invasion prediction in   hepatocellular carcinoma with prognostic implication

Oral

国际光学工程学会

SPIE Medical Imaging Session, 2019

2

Multi-scale patches convolutional neural   network predicting the histological grade of hepatocellular carcinoma

Online

国际医学与生物学工程学会

IEEE EMBC, 2021

3

A radiomics-based approach for predicting   early recurrence in intrahepatic cholangiocarcinoma after surgical resection:   a multi-center study

Online

国际医学与生物学工程学会

IEEE EMBC, 2021

4

Radiomics method to predict loss of   heterozygosity on chromosome 1p/19q of oligodendroglial tumor

Poster

美国临床肿瘤学会

ASCO 2017

5

Preoperative and non-invasive prediction   of chromosome arm 1p/19q codeletion in oligodendroglial tumors using   MRI-based radiomics

Poster

美国临床肿瘤学会

ASCO 2018

6

Noninvasive prediction of future   macrovascular invasion occurrence in hepatocellular carcinoma based on   quantitative imaging analysis: A multi-center study

Poster

美国临床肿瘤学会

ASCO 2019

7

Preoperative prediction of microvascular   invasion in HCC using radiomics on multisequence gadoxetic acid-enhanced MR   images

Poster

美国癌症研究学会

AACR 2018

8

Pretreatment prediction of recurrence-free   survival in hepatocellular carcinoma after surgical resection by   machine-learning based imaging analysis

Poster

美国癌症研究学会

AACR 2019

9

Deep learning radiomics for preoperative   prediction of microvascular invasion in hepatocellular carcinoma: a   multicenter and prospective validation study

Poster

美国肝病研究学会

AASLD 2020

10

Genomics Reveals Molecular Classes of   Microvascular Invasion in Hepatocellular Carcinoma

Poster

美国肝病研究学会

AASLD 2023

11

Multi-sequence and Habitat-based Radiomics   Analysis to Predict MGMT Methylation Status in Grade II-IV Gliomas Using   Magnetic Resonance Imaging

Poster

国际医学磁共振学会

ISMRM, Paris, 2018

12

Development and Validation of MRI-Based   Radiomics Signature for Predicting Chromosome 1p/19q Codeletion of   Oligodendroglial Tumor

Poster

亚洲分子影像联盟

FASMI, Korea, 2017

   六、主要知识产权情况

序号

授权项目名称

知识产权类别

国(区)别

授权号

1

肝细胞癌大血管侵犯预测软件V1.0

软件著作权

中国

2018SR1025237

2

肝癌微血管侵犯预测圆形实验系统软件V1.0

软件著作权

中国

2024SR2227302