刘建刚 教授、博士生导师
医学科学与工程学院
电子邮箱：jgliu@buaa.edu.cn
【教育背景】
2004-9 至 2007-7, 中国科学院自动化研究所, 计算机应用技术, 博士
2001-9 至 2004-7, 山东大学, 控制理论与控制工程, 硕士
1994-9 至 1998-7, 山东工业大学, 工业自动化, 学士
【工作经历】
2019-5至 现在, 北京航空航天大学, 医学科学与工程学院，教授
2007-7至2019-5, 北京交通大学, 计算机与信息技术学院，讲师/副教授
【研究领域】
医学图像处理与可视化智能算法
医疗大数据分析与智能决策算法
专病垂直基础模型和智能体应用
【代表性科研项目】
（1）肾透明细胞癌伴下腔静脉癌栓的多模态AI辅助手术决策与预后评估（国家自然科学基金联合基金项目，U24A20755，参与，2025年1月—2028年12月）
（2）面向前列腺神经内分泌癌早期精准诊断的在体磁粒子成像技术研究（北京市自然科学基金-联合基金培育项目，L258056，课题主持，2025年7月—2028年6月）
（3）AI辅助的前列腺癌多组学精准诊疗关键问题研究（北京市自然科学基金重点研究专题项目，Z200027，课题主持，2020年10月—2024年10月）
（4）基于脑网络分析的面孔识别能力个体差异神经机制的研究 （国家自然科学基金上项目，61673051，主持，2017年1月—2020年12月）
【代表性论著】
[1] Litao Zhao; Jie Bao; Xiaomeng Qiao; Pengfei Jin; Yanting Ji; Zhenkai Li; Ji Zhang; Yueting Su; Libiao Ji; Junkang Shen; Yueyue Zhang; Lei Niu; Wanfang Xie; Chunhong Hu; Hailin Shen; Ximing Wang; Jiangang Liu; Jie Tian ; Predicting clinically significant prostate cancer with a deep learning approach: a multicentre retrospective study, European Journal of Nuclear Medicine and Molecular Imaging, 2023, 50(3): 727-741 (共同通讯作者)
[2] Litao Zhao; Jie Bao; Ximing Wang; Xiaomeng Qiao; Junkang Shen; Yueyue Zhang; Pengfei Jin; Yanting Ji; Ji Zhang; Yueting Su; Libiao Ji; Zhenkai Li; Jian Lu; Chunhong Hu; Hailin Shen; Jie Tian; Jiangang Liu; Detecting Adverse Pathology of Prostate Cancer With a Deep Learning Approach Based on a 3D Swin-Transformer Model and Biparametric MRI: A Multicenter Retrospective Study, Journal of Magnetic Resonance Imaging, 2024, 59(6): 2101-2112 (共同通讯作者)
[3] Li-Tao Zhao; Zhen-Yu Liu; Wan-Fang Xie; Li-Zhi Shao; Jian Lu; Jie Tian; Jian-Gang Liu; What benefit can be obtained from magnetic resonance imaging diagnosis with artificial intelligence in prostate cancer compared with clinical assessments? Military Medical Research, 2023, 10(1) (共同通讯作者)
[4] Wanfang Xie; Zhenyu Liu; Jie Tian; Jiangang Liu; MLSE-FML: Mammogram Classification with Multi-Level Semantic Extraction and Focal Margin Loss, Biomedical Signal Processing and Control, 2025, 112 (共同通讯作者)
[5] Lishuang Guo; Chenbin Ma; Zhen Dong; Jie Tian; Yu An; Jiangang Liu; RETNet: Resolution enhancement Transformer network for magnetic particle imaging based on X-space, Computers in Biology and Medicine, 2024, 181 (共同通讯作者)
[6] Jie Bao; Litao Zhao; Xiaomeng Qiao; Zhenkai Li; Yanting Ji; Yueting Su; Libiao Ji; Junkang Shen; Jiangang Liu; Jie Tian; Ximing Wang; Hailin Shen; Chunhong Hu ; 3D-AttenNet model can predict clinically significant prostate cancer in PI-RADS category 3 patients: a retrospective multicenter study, Insights into Imaging, 2025, 16(1) (共同通讯作者)
[7] Xiangyu Liu; Zhenyu Liu; Ye Yan; Kai Wang; Aodi Wang; Xiongjun Ye; Liwei Wang; Wei Wei; Bao Li; Caixia Sun; Wei He; Xuehua Zhu; Zenan Liu; Jiangang Liu; Jian Lu; Jie Tian ; Development of Prognostic Biomarkers by TMB-Guided WSI Analysis: A Two-Step Approach, IEEE Journal of Biomedical and Health Informatics, 2023, 27(4): 1780-1789 (共同通讯作者)
[8] Xun Zhao; Ye Yan; Wanfang Xie; Litao Zhao; Shudong Zhang; Jiangang Liu; Cheng Liu; Lulin Ma ; The Application of CT Radiomics in the Diagnosis of Vein Wall Invasion in Patients With Renal Cell Carcinoma Combined With Tumor Thrombus, The Oncologist, 2024, 29(2): 151-158 (共同通讯作者 )
[9] Wanfang Xie; Zhenyu Liu; Litao Zhao; Meiyun Wang; Jie Tian; Jiangang Liu; DIFLF: A domain-invariant features learning framework for single-source domain generalization in mammogram classification, Computer Methods and Programs in Biomedicine, 2025, 261 (共同通讯作者)
[10] Siyao Du; Wanfang Xie; Si Gao; Ruimeng Zhao; Huidong Wang; Jie Tian; Jiangang Liu; Zhenyu Liu; Lina Zhang ; Early prediction of neoadjuvant therapy response in breast cancer using MRI-based neural networks: data from the ACRIN 6698 trial and a prospective Chinese cohort, Breast Cancer Research, 2025, 27 (共同通讯作者)
