汤振宇

职称:副研究员

学历:博士研究生

所在学科:计算机科学与技术

研究方向:医学影像处理、计算机辅助诊 断&治疗,机器学习

电子邮件:tangzhenyu119@hotmail.com

个人简历

汤振宇,博士,北京航空航天大学“医工百人”特聘副研究员。2011年在德国杜伊斯堡埃森大学获得计算机博士学位;2012年及2017年分别在中国科学院自动化所和美国北卡罗来纳大学教堂山分校进行博后工作;2019年至今为北京航空航天大学计算机学院副研究员。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,计算机辅助诊断与治疗。主持北京市自然科学面上项目1项,国家自然科学青年项目1项,面上项目1项。以第一作者发表论文18篇,其中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7篇,TBME亮点文章1篇(Featured article),ESI高被引论文3篇。

代表性SCI期刊论文及会议

  • Zhenyu Tang, Hongda Cao, Yuyun Xu, Qiang Yang, Jinda Wang, and Han Zhang, “Overall survival time prediction for glioblastoma using multimodal deep KNN”, Physics in Medicine & Biology, vol. 67, issue 13, 2022.
  • Huabin Liu, Dong Nie, Dinggang Shen, Jinda Wang, and Zhenyu Tang*, “Multimodal Brain Tumor Segmentation Using Contrastive Learning based Feature Comparison with Monomodal Normal Brain Images“, MICCAI 2022, Singapore. (领域顶会)
  • 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, vol. 66, issue 3, 2021. (ESI高被引)
  • 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, vol. 39, issue 6, pp. 2100-2109, 2020.
  • 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, vol. 29, pp. 6864-6872, 2020.
  • 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, vol. 28, pp. 2293-2304, 2019.
  • 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, vol. 66, issue 8, pp. 2192-2199, 2019. (Featured article)
  • 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, Shenzhen, China. (领域顶会)
  • 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, vol 37, issue 10, pp. 2224-2235, 2018.
  • 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, Quebec, Cananda. (领域顶会)