汤振宇，博士，副教授，博导，北航"医工百人"，中国自动化学会智能健康与生信专委会委员。博士毕业于德国杜伊斯堡埃森大学、并分别在中国科学院自动化研究所、美国北卡罗来纳大学教堂山分校进行博士后工作。研究领域包括数字图像处理，模式识别，机器学习等。主要应用于医学影像计算分析（核磁影像、CT、超声等），计算机辅助诊断与治疗（如：神经系统疾病、肿瘤、心血管疾病等）。以第一作者/通讯发表包括IEEE Transactions on Medical Imaging (TMI), IEEE Transactions on Image Processing (TIP), IEEE Transactions on Biomedical Engineering (TBME), MICCAI等国际权威杂志和会议论文30余篇，其中TBME亮点文章1篇（Featured article），ESI高被引论文2篇，谷歌总被引2000余次。主持国家自然科学面上项目，国家自然科学青年项目，北京市自然科学面上项目，作为项目骨干参与国家重点研发计划1项（负责经费78万元）。在临床应用方面，主持多项计算机辅助诊疗横向项目，其中关节置换术前规划系统获批国家医疗器械二类注册证。

代表性论文（期刊）：

[1] Huabing Liu, Zhengze Ni, Dong Nie, Dinggang Shen, Jinda Wang, and Zhenyu Tang*, Multimodal Brain Tumor Segmentation Boosted by Monomodal Normal Brain Images, IEEE Transactions on Image Processing, 33, pp. 1199-1210, 2024. (SCI Q1, IF: 10.6)

[2] Huabing Liu, Dong Nie, Jian Yang, Jinda Wang, and Zhenyu Tang*, A New Multi-Atlas Based Deep Learning Segmentation Framework with Differentiable Atlas Feature Warping, IEEE Journal of Biomedical and Health Informatics, 28(3), pp. 1484-1493, 2024. (SCI Q1, IF: 7.7)

[3] Zhenyu Tang, Hongda Cao, Yuyun Xu, Qing Yang, Jinda Wang, and Han Zhang, Overall survival time prediction for glioblastoma using multimodal deep KNN, Physics in Medicine & Biology, 2022. (SCI Q2, IF: 3.5)

[4] Zhenyu Tang, Wei Zhao, Xingzhi Xie, Zheng Zhong, Feng Shi, Jun Liu, and Dinggang Shen*, Severity assessment of COVID-19 using CT image features and laboratory indices, Physics in Medicine & Biology, 2021. (SCI Q2, IF: 3.5, ESI 高被引)

[5] Zhenyu Tang, Xianli Liu, Yang Li, Pew-Thian Yap, and Dinggang Shen*, Multi-Atlas Brain Parcellation Using Squeeze-and-Excitation Fully Convolutional Networks, IEEE Transactions on Image Processing, 29, pp. 6864-6872, 2020. (SCI Q1, IF: 10.6)

[6] Zhenyu Tang, Yuyun Xu, Lei Jin, Abudumijiti Aibaidula, Junfeng Lu, Zhicheng Jiao, Jinsong Wu, Han Zhang, and Dinggang Shen*, Deep Learning of Imaging Phenotype and Genotype for Predicting Overall Survival Time of Glioblastoma Patients, IEEE Transactions on Medical Imaging, 39(6), pp. 2100-2109, 2020. (SCI Q1, IF: 10.6)

[7] Zhenyu Tang, Pew-Thian Yap, and Dinggang Shen*, A New Multi-Atlas Registration Framework for Multimodal Pathological Images Using Conventional Monomodal Normal Atlases, IEEE Transactions on Image Processing, 28(5), pp. 2293-2304, 2019. (SCI Q1, IF: 10.6)

[8] Zhenyu Tang, Pew-Thian Yap, and Dinggang Shen*, A New Image Similarity Metric for Improving Deformation Consistency in Graph-Based Groupwise Image Registration, IEEE Transactions on Biomedical Engineering, 66(8), pp. 2192-2199, 2019. (SCI Q1, IF: 4.6, 亮点论文)

[9] Zhenyu Tang, Sahar Ahmad, Pew-Thian Yap, and Dinggang Shen*, Multi-Atlas Segmentation of MR Tumor Brain Images Using Low-Rank Based Image Recovery, IEEE Transactions on Medical Imaging, 37(10), pp. 2224-2235, 2018. (SCI Q1, IF: 10.6)

代表性论文（会议）：

[1] Zhenyu Tang, Zhenyu Zhang, Huabing Liu, Dong Nie, and Jing Yan*, Pre-operative Survival Prediction of Diffuse Glioma Patients with Joint Tumor Subtyping, MICCAI 2023. (领域顶会)

[2] Huabin Liu, Dong Nie, Jinda Wang, and Zhenyu Tang*, Multimodal Brain Tumor Segmentation Using Contrastive Learning based Feature Comparison with Monomodal Normal Brain Images, MICCAI 2022. (领域顶会)

[3] Xiangdong Guo, Haifeng Zhao, and Zhenyu Tang*, An Improved Deep Learning Approach for Thyroid Nodule Diagnosis, ISBI 2020.

[4] Zhenyu Tang, Yuyun Xu, Zhicheng Jiao, Junfeng Lu, Lei Jin, Abudumijiti Aibaidula, Jinsong Wu, Qian Wang, Han Zhang*, and Dinggang Shen, Pre-operative Overall Survival Time Prediction for Glioblastoma Patients Using Deep Learning on Both Imaging Phenotype and Genotype, MICCAI 2019. (领域顶会)

[5] Xianli Liu, Haifeng Zhao, Shaojie Zhang, and Zhenyu Tang*, Brain Image Parcellation Using Multi-Atlas Guided Adversarial Fully Convolutional Network, ISBI 2019.

[6] Zhenyu Tang, Yue Cui, and Bo Jiang*, Groupwise Registration of MR Brain Images Containing Tumors via Spatially Constrained Low-Rank Based Image Recovery, MICCAI 2017. (领域顶会)

• [1]. 2007.4 -- 2011.11

  德国杜伊斯堡埃森大学       计算机科学与技术       博士研究生毕业       博士学位

• [2]. 2003.11 -- 2007.4

  德国杜伊斯堡埃森大学       计算机科学与技术       硕士研究生毕业       硕士学位

• [3]. 1999.7 -- 2003.7

  中国矿业大学       计算机科学与技术       大学本科毕业       学士

• [1]. 2019.7 -- 至今

  北京航空航天大学      计算机学院      副教授

• [2]. 2017.7 -- 2018.12

  美国北卡罗莱纳大学教堂山分校      博士后

• [3]. 2014.7 -- 2019.7

  安徽大学      计算机科学与技术学院      副教授

• [4]. 2012.3 -- 2014.3

  中国科学院自动化所      博士后

• [1] 医学图像处理与分析
• [2] 机器学习
• [3] 计算机视觉