唐振超，副教授
医学科学与工程学院
北航教师个人主页：https://shi.buaa.edu.cn/tangzhenchao1/zh_CN/more/194843/jsjjgd/index.htm
电子邮箱：tangzhenchao@buaa.edu.cn
【教育背景】
2012.9 - 2019.7：山东大学，机电与信息工程学院，硕博，导师董恩清 教授
2008.9 - 2012.6：山东大学，信息科学与工程学院，本科
【工作经历】
2021.12-至今：北京航空航天大学，医学科学与工程学院，副教授
2019.7 – 2021.12：北京航空航天大学，大数据精准医疗高精尖创新中心，博士后，合作导师田捷 教授
【研究领域】
长期以来从事医工交叉研究工作，专长于应用医学人工智能技术进行医学影像量化分析，以辅助临床进行精准诊断和个体化诊疗决策，研究成果以第一和共同第一作者发表于Radiotherapy and Oncology，European Radiology等临床系列高水平级期刊。
作为医学人工智能专家担任心血管智慧诊疗北京市工程研究中心的技术研发副主任（总投资3886.55万元），负责医学人工智能技术与算法研发，担任中国抗癌学会肿瘤人工智能专业委员会委员、中国医药质量管理协会医学影像人工智能质量专业委员会、中国微循环学会神经变性病专业委员会磁共振学组委员，先后主持和参与国家重点研发计划重点专项子课题，国家自然科学基金委青年基金项目，北京市基金委重点专题项目和首都卫生发展科研专项重点攻关项目等。
【代表性科研项目】
1. 基于影像-病理组学的局部进展期直肠癌新辅助放化疗疗效评估研究，国家自然科学基金青年项目，2021.1-2023.12，主持，总经费24万元，承担经费24万元
2. 结合人工智能的蛋白质组大数据高性能计算和深度分析新方法研发，国家重点研发计划重点专项子课题，2022.1-2026.12，参与，总经费630万元，承担经费63万元
3. 基于冠状动脉CT 血管造影量化分析的慢性完全闭塞病变介入手术风险预测研究，首都卫生发展科研专项重点攻关项目，2022.1-2024.12，参与，总经费100万元，承担经费25万元
4. 基于MRI影像组学分析的局部晚期宫颈癌根治性放化疗后辅助化疗的个体化辅助决策系统研发，北京市海淀转化专项，2022.01-2023.12，参与，总经费50万元，承担经费25万元
【代表性论著】
发表期刊（部分）
1. Wei Guangchao#; Jiang Ping#; Tang Zhenchao#; Qu Aang; Deng Xiuwen; Guo Fuxin; Sun Haitao; Zhang Yunyan; Gu Lina; Zhang Shuaitong; Mu Wei; Wang Junjie*; Tian Jie*. MRI radiomics in overall survival prediction of local advanced cervical cancer patients tread by adjuvant chemotherapy following concurrent chemoradiotherapy or concurrent chemoradiotherapy alone. [J]. Magnetic Resonance Imaging. Vol 91: 81-90, 2022.
2. 刘振宇，唐振超，穆学涛，孙彩霞，影像组学多模态MRI量化分析用于直肠癌新辅助治疗后疗效及预后评估的方法学专家共识，中华放射学杂志2022 年6 月第56 卷第6 期。
3. Zhenchao Tang#, Xiao-Yan Zhang#, Zhenyu Liu#, Xiao-Ting Li#, Yan-Jie Shi, Shou Wang, Mengjie Fang, Chen Shen, Enqing Dong*, Ying-Shi Sun*, Jie Tian*, Quantitative analysis of diffusion weighted imaging to predict pathological good response to neoadjuvant chemoradiation for locally advanced rectal cancer, Radiotherapy and Oncology, 2019, 132: 100-108.
4. Di Dong#, Zhenchao Tang#, Shuo Wang#, Hui Hui#, Lixin Gong#, Yao Lu#, Zhong Xue, Hongen liao, Fang Chen, Fan Yang, Ronghua Jin, Kun Wang, Zhenyu Liu, Jingwei Wei, Wei Mu, Hui Zhang, Jingying Jiang, Jie Tian*, Hongjun Li*, The role of imaging in the detection and management of COVID-2019: a review, IEEE Reviews in Biomedical Engineering, 2020, 99:1-1.
5. Zhenchao Tang#, Dexin Yu#, Tianjiao Ni, Tongtong Zhao, Ye Jin, Enqing Dong*, Quantitative Analysis of Multiphase Contrast-Enhanced CT Images: A Pilot Study of Preoperative Prediction of Fat-Poor Angiomyolipoma and Renal Cell Carcinoma, American Journal of Roentgenology, 2020, 214(2): 370-382.
6. Yuan Tian#, Zhenyu Liu#, Zhenchao Tang#, Mingge Li, Xin Lou, Enqing Dong, Gang Liu, Yulin Wang, Yan Wang, Xiangbin Bian, Shihui Wei*, Jie Tian*, Lin Ma*, Radiomics Analysis of DTI Data to Assess Vision Outcome After Intravenous Methylprednisolone Therapy in Neuromyelitis Optic Neuritis, Journal of Magnetic Resonance Imaging, 2019, 49(5): 1365-1373.
7. Zhenchao Tang#, Zhenyu Liu#, Ruili Li#, Xin Yang, Xingwei Cui, Shuo Wang, Dongdong Yu, Hongjun Li*, Enqing Dong*, Jie Tian*, Identifying the white matter impairments among ART-naive, European Radiology, 2017, 27(10): 4153-4162.
8. Zhenyu Liu#, Xiaoyan Zhang#, Yanjie Shi#, Lin Wang, Haitao Zhu, Zhenchao Tang, Shuo Wang, Xiaoting Li, Jie Tian*, Yingshi Sun*, Radiomics Analysis for Evaluation of pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer, Clinical Cancer Research, 2017, 23(23): 7253-7262
9. Zhenchao Tang#, Enqing Dong#*, Jiaojiao Liu#, Zhenyu Liu, Wenjuan Wei, Bo Wang, Hongjun Li, Jie Tian*, Longitudinal assessment of fractional anisotropy alterations caused by simian immunodeficiency virus infection: a preliminary diffusion tensor imaging study. Journal of Neurovirology, 2016, 22(2): 231-239.
发表会议（部分）
1. Zhenchao Tang, Zhenyu Liu, Mengjie Fang, Shuo Wang, Xuezhi Zhou, Jie Tian, A toolbox for data processing in Radiomics analysis. Medical Imaging 2020: Imaging Informatics for Healthcare, Research, and Applications. International Society for Optics and Photonics, 2020, 11318: 113180V. (EI Index).
2. Zhenchao Tang, Zhenyu Liu, Ruili Li, Xingwei Cui, Hongjun Li* Enqing Dong*, Jie Tian*, A Radiomics analysis of DWI data to identify the low stage rectal cancer patients after neoadjuvant chemoradiotherapy, Proceedings of SPIE Symposium on Medical Imaging 2018 (EI Index).
3. Zhenchao Tang, Zhenyu Liu, Xinwei Cui, Enqing Dong*, and Jie Tian*, Prediction of the cognitive performance among Type 2 diabetes mellitus patients: a multivariable pattern analysis of Diffusion Tensor Imaging data, International Society for Magnetic Resonance in Medicine (ISMRM 2017), Honolulu, Hawaii, USA, 22-27, April, 2017.
4. Zhenchao Tang, Peng Xue, Pei Yang, Dayu Jia, Enqing Dong*, An Effective Non-Rigid Image Registration Method Based on Active Demons Algorithm, IEEE 29th International Symposium on Computer-Based Medical Systems, CBMS2016 (EI Index).
5. Zhenchao Tang, Zhenyu Liu, Ruili Li, Xinwei Cui, Hongjun Li, Enqing Dong*, Jie Tian, A multivariate pattern analysis study of the HIV-related white matter connections alterations, Proceedings of SPIE Symposium on Medical Imaging 2016 (EI Index).
6. Zhenchao Tang, Zhenyu Liu, Jiaojiao Liu, Hongjun Li, Enqing Dong*, and Jie Tian*, A Tract Based Spatial Statistic study of Fractional Anisotropy alterations caused by Simian Immunodeficiency Virus infection, International Society for Magnetic Resonance in Medicine (ISMRM 2015), Toronto, Ontario, Canada, 30 May-5 June, 2015.
