学术论文 | 科研项目 | 招生计划
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.,
Li ZY#, Tang L#, Li ZM#, Li YL#, Fu J, Zhang Y, Li XT, Ying XJ, Ji JF. Four-Point Computed Tomography Scores for Evaluation of Occult Peritoneal Metastasis in Patients with Gastric Cancer: A Region-to-Region Comparison with Staging Laparoscopy.,Ann Surg Oncol,
Fu J, Fang MJ, Dong D, Li J, Sun YS, Tian J, Tang L*. Heterogeneity of metastatic gastrointestinal stromal tumor on texture analysis: DWI texture as potential biomarker of overall survival.,Eur J Radiol,
Di Dong#, Mengjie Fang#, Lei Tang#, Xiuhong Shan#, Jianbo Gao#, Francesco Giganti#, Rongpin Wang, Xin Chen, Xiaoxiao Wang, Diego Palumbo, Jia Fu, Wuchao Li, Jing Li, Lianzhen Zhong, Francesco De Cobelli, Jiafu Ji*, Zaiyi Liu*, Jie Tian*, Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study.,Ann Oncol,
Jia Fu, Lei Tang*, Zi-Yu Li, Xiao-Ting Li, Hai-Feng Zhu, Ying-Shi Sun, Jia-Fu Ji. Diffusion kurtosis imaging in the prediction of poor responses of locally advanced gastric cancer to neoadjuvant chemotherapy.,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.,
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
社会任职
- European Radiology,JMRI , BMC Cancer等杂志审稿专家
- 北京癌症防治学会胃癌专委会副主任委员、影像专委会常务委员
- 北京市放射学会腹部学组 副组长
- 中国临床肿瘤学会CSCO青年委员会 常务委员
- 中国抗癌协会胃癌专业委员会常务委员,影像学组组长