Yi-Ting Liu 1, Yong-Ai Li 2, Jia-Zheng Li 1, Yin-Kui Wang 3, Zi-Fan Chen 4, Wan-Ying Ji 2, Qin Feng 2, Shuang-Xi Li 3, Xiao-Ting Li 1, Fang-Jing Hou 1, Zhao-Bo Zhang 1, Kan Xue 3, Fei Shan 3, Lei Tang 1*, Zi-Yu Li. Four-step formula for the Siewert classification of adenocarcinomas of the esophagogastric junction: a computed tomography-based quantitative model.,Expert Rev Med Devices,

Jia-Zheng Li , Yan-Ling Li, Xin-Ya Zhao, Yin-Kui Wang, Yan-Li Li, Yi-Ting Liu, Yi-Yuan Wei, Xiao-Ting Li, Zhen-Hui Li, Yu Sun, Lei Tang*, Zi-Yu Li* .Computed tomography features of gastric cancer with deficient mismatch repair: Radiologic-pathologic correlation.,Eur J Radiol,

Jiazheng Li #, Zhenhui Li #, Yinkui Wang # , Yuzhuo Li, Jing Zhang, Ziyu Li*, Lei Tang*.CT radiomics-based intratumoral and intertumoral heterogeneity indicators for prognosis prediction in gastric cancer patients receiving neoadjuvant chemotherapy.,Eur Radiol,

Zifan Chen#, Yang Chen#, Yu Sun#, Lei Tang, Li Zhang, Yajie Hu, Meng He, Zhiwei Li, Siyuan Cheng, Jiajia Yuan, Zhenghang Wang, Yakun Wang, Jie Zhao, Jifang Gong, Liying Zhao, Baoshan Cao, Guoxin Li, Xiaotian Zhang, Bin Dong and Lin Shen. Predicting gastric cancer response to anti-HER2 therapy or anti-HER2 combined immunotherapy based on multi-modal data.,Signal Transduction Target Therapy,2024, 9(1): 1-12

Jia X, Xiao Y, Zhang H, Li J, Lv S, Zhang Y, Chai F, Feng C, Liu Y, Chen H, Ma F, Wei S, Cheng J, Zhang S, Gao Z, Hong N, Tang L, Wang Y. CT assessed morphological features can predict higher mitotic index in gastric gastrointestinal stromal tumors.,Eur Radiol,

Wei YY#, Cai JY#, Wang LL#, Yang J, Li YL, Li XT, Zhang XT*, Shi YJ*, Tang L*.Dynamic change in the peritoneal cancer index based on CT after chemotherapy in overall survival prediction of gastric cancer patients with peritoneal metastasis,J Cancer Res Clin Oncol,150(5):222

He M, Chen ZF, Liu S, Chen Y, Zhang H, Zhang L, Zhao J, Yang J, Zhang XT, Shen L, Gao JB, Dong B, Tang L. Deep learning model based on multi-lesion and time series CT images for predicting the benefits from anti-HER2 targeted therapy in stage IV gastric cancer.,Insights Imaging.,

Feng-Hua Wang, Xiao-Tian Zhang, Lei Tang, Qi Wu, Mu-Yan Cai, Yuan-Fang Li, Xiu-Juan Qu, Hong Qiu, Yu-Jing Zhang, Jie-Er Ying, Jun Zhang, Ling-Yu Sun, Rong-Bo Lin, Chang Wang, Hao Liu, Miao-Zhen Qiu, Wen-Long Guan, Sheng-Xiang Rao, Jia-Fu Ji, Yan Xin, Wei-Qi Sheng, Hui-Mian Xu, Zhi-Wei Zhou, Ai-Ping Zhou, Jing Jin, Xiang-Lin Yuan, Feng Bi, Tian-Shu Liu, Han Liang, Yan-Qiao Zhang, Guo-Xin Li, Jun Liang, Bao-Rui Liu, Lin Shen, Jin Li, Rui-Hua Xu. The Chinese Society of Clinical Oncology (CSCO): Clinical guidelines for the diagnosis and treatment of gastric cancer, 2023 Cancer Commun,Cancer Commun,

Li JZ, Tang L. Radiomics in Antineoplastic Agents Development: Application and Challenge in Response Evaluation,Chin Med Sci J,0

Karaman, M. M., Tang, L., Li, Z., Sun, Y., Li, J. Z., Zhou, X. J. In vivo assessment of Lauren classification for gastric adenocarcinoma using diffusion MRI with a fractional order calculus model,Eur Radiol,8

Sun, R. J., Fang, M. J., Tang, L., Li, X. T., Lu, Q. Y., Dong, D., Tian, J., Sun, Y. S CT-based deep learning radiomics analysis for evaluation of serosa invasion in advanced gastric cancer,Eur J Radiol,25

Sun RJ#; Fang MJ#; Tang L#; Li XT; Lu QY; Dong D; Tian J; Sun YS. CT-based deep learning radiomics analysis for evaluation of serosa invasion in advanced gastric cancer.,Eur J Radiol.,

Xing Wang#, Li Zhang#, Xin Yang#, Lei Tang#, Jie Zhao, Gaoxiang Chen, Xiang Li , Shi Yan , Shaolei Li , Yue Yang , Yue Kang , Quanzheng Li, Nan Wu. Deep learning combined with radiomics may optimize the prediction in differentiating high-grade lung adenocarcinomas in ground glass opacity lesions on CT scans.,Eur J Radiol.,

Karaman MM#, Tang L#, Li Z, Sun Y, Li JZ, Zhou XJ*. In vivo assessment of Lauren classification for gastric adenocarcinoma using diffusion MRI with a fractional order calculus model.,Eur Radiol,

Jiazheng Li, Lei Tang*. Radiomics in Antineoplastic Agents Development: Application and Challenge in Response Evaluation.,Chin Med Sci J.,

胃癌免疫联合治疗策略的开发与验证, 子课题负责人, 2024.12.1～2028.12.31, 科技部四大慢病重大专项

基于临床-影像-病理多组学大模型的胃癌免疫治疗疗效预测研究, 子课题负责人, 2024.12.1～2028.12.31, 国家自然科学基金重点项目

图像处理中的数据驱动建模和在胃癌新辅助化疗疗效预测中的应用, 课题负责人, 2018.12.1～2022.12.1, 北京市自然科学基金委员会

基于分子影像和影像组学的乳腺癌早诊、疗效评价与预后预测新技术研发(子课题), 子课题负责人, 2017.7.1～2020.12.1, 中华人民共和国科学技术部，国家重点研发计划

基于磁共振时间-空间异质性参数的多模态影像组学模型预测胃癌免疫治疗疗效., 课题负责人, 2021.1.1～2022.12.1, 北大百度基金

多模态跨尺度生物医学成像国家重大科技基础设施装置, 子课题负责人, 2019.6.10～2024.6.7, 国家重大科技基础设施建设“十三五”规划

研究生招生计划

招生年度	招生专业	学位级别	学位类型	研究方向	选拔方式	操作
2026	放射影像学	硕士	专业学位	临床技能训练与研究	推荐免试