李英，唐磊，付佳，李晓婷，李子禹，孙应实*.多层螺旋CT的肿瘤优势供血动脉征对胰胃间隙外生型肿瘤的定位诊断价值.,中华放射学杂志,2019；53(7):564-568

Yu-Hong Qu#,Hai-Tao Zhu#,Kun Cao,Xiao-Ting Li,Meng Ye,Ying-Shi Sun*. Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Using a Deep Learning (DL) Method.,Thoracic Cancer,2020;11(3): 651-658.

Mailin Chen, Xiaoting Li, Yiyuan Wei, Liping Qi, Ying-Shi Sun*.Spectral CT imaging parameters and Ki-67 labeling index in lung adenocarcinoma,Chinese Journal of Cancer Research,2020;32(1):96-104

Hai-tao Zhu#, Xiao-yan Zhang#, Xiao-ting Li, Yan-jie Shi, Hui-ci Zhu, Ying-shi Sun*. Prediction of Pathological Nodal Stage of Locally Advanced Rectal Cancer by the Collective Features of Multiple Lymph Nodes in the Magnetic Resonance Images before and after Neoadjuvant Chemoradiotherapy,Chin J Can Res,2019,31(6):1-9

Rui-Jia Sun, Lin Wang, Xiao-Ting Li, Qiao-Yuan Lu, Xiao-Yan Zhang, Zhen Guan, Ying-Shi Sun*. Baseline MRI detected lateral lymph node as a prognostic factor: a cohort study in pN0 low-risk rectal cancer.,Journal of Cancer Research and Clinical Oncology,2020;146(3):739-748

308. Kun Cao, Bo Zhao, Xiao-Ting Li, Yan-Ling Li and Ying-Shi Sun*.Texture analysis of dynamic contrast-enhanced MRI in evaluating pathologic complete response (pCR) of mass-like breast cancer after neoadjuvant therapy,Journal of Oncology,2019: 4731532

Chen ML, Shi AH, Li XT, Wei YY, Qi LP, Sun YS*. Is there any correlation between spectral CT imaging parameters and PD-L1 expression of lung adenocarcinoma?,Thorac Cancer.,2020;11:362-368.

Bo Zhao#, Kun Cao#, Xiao-Ting Li, Hai-Tao Zhu, Ying-Shi Sun*. Whole lesion histogram analysis of apparent diffusion coefficients on MRI predicts disease-free survival in locally advanced squamous cell cervical cancer after radical chemo-radiotherapy,BMC Cancer,2019;19:1115

Wang S#, Li X-T#, Zhang X-Y, Sun R-J, Qu Y-H, Zhu H-C, Sun Y-S. MRI evaluation of extramural vascular invasion by inexperienced radiologists.,Br J Radiol,2019; 92: 20181055.

Xiao-Yan Zhang#, Lin Wang#, Hai-Tao Zhu, Zhong-Wu Li, Meng Ye, Xiao-Ting Li, Yan-Jie Shi, Hui-Ci Zhu, Ying-Shi Sun*. Predicting Rectal Cancer Response to Neoadjuvant Chemoradiotherapy Using Deep Learning of Diffusion Kurtosis MRI.,Radiology,2020;296(1):56-64

龙蓉，曹崑，曹敏，李海蛟，孙应实*. 对比增强能谱乳腺Ｘ线摄影诊断乳腺影像报告和数据系统４类钙化,中国医学影像技术,2019,35（4）：498-502

医学影像学团队, 课题负责人, 2020.1.29～2023.12.31, 登峰计划

项目名称：新型 MRI 梯度匀场系统研发/课题五：盆腔应用及磁共振模拟定位机应用研究, 课题负责人, 2019.12.1～2021.12.31, 国家重点研发计划

应用深度学习构建直肠癌区域淋巴结转移的影像辅助诊断模型, 课题负责人, 2020.1.1～2023.12.31, 国家自然科学基金

应用深度学习技术建立多模态直肠癌术前放化疗后肿瘤退缩分级的智能诊断模型, 课题负责人, 2020.1.1～2022.12.31, 国家自然科学基金重大研究计划

应用MR影像组学方法诊断直肠癌新辅助治疗后完全缓解的临床研究, 课题负责人, 2017.2.10～2020.3.31, 首都临床特色应用研究（Z171100001017102）

食管癌淋巴结转移的CT影像组学预测方法研究, 课题负责人, 2017.1.1～2019.12.31, 北京市自然科学基金:(7172049)

3T磁共振非高斯模型扩散成像评价直肠癌放疗疗效的定量化分析, 课题负责人, 2015.1.1～2018.12.31, 国家自然科学基金 81471640

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
2024	放射影像学	长学制	专业学位	临床技能训练与研究	长学制二级学科培养