湯振宇(北京航空航天大學“醫工百人”特聘副研究員)

湯振宇，博士，現為北京航空航天大學“醫工百人”特聘副研究員、碩士研究生導師。

基本介紹

• 中文名：湯振宇
• 畢業院校：Duisburg-Essen大學
• 學位/學歷：博士
• 專業方向：計算機科學與技術
• 職務：碩士研究生導師 
• 職稱：副研究員

研究方向

1、數字圖像處理i

2. 醫學圖像處理

3. 機器學習

人物經歷

2019年-至今：北京航空航天大學，“醫工百人”特聘副研究員

2014年 - 2019年：安徽大學，計算機科學與技術學院，副教授

2017年 - 2018年：美國北卡羅來納大學教堂山分校，博士後

2012年 - 2014年：中國科學院自動化研究所，博士後

2007年 - 2011年：德國Duisburg-Essen大學，博士

2003年 - 2007年：德國Duisburg-Essen大學，碩士

1999年 - 2003年：中國礦業大學，計算機科學與技術學院，本科

學術成果

一．雜誌

[1] Zhenyu Tang, Xianli Liu, Yang Li,Pew-Thian Yap and Dinggang Shen, "Multi-Atlas Brain Parcellation UsingSqueeze-and-Excitation Fully Convolutional Networks", IEEE Transactions on Image Processing, vol. 29, pp. 6864-6872, 2020.

[2] Zhenyu Tang, Yuyun Xu, Lei Jin,Abudumijiti Aibaidula, Junfeng Lu, Zhicheng Jiao, Jinsong Wu, Han Zhang andDinggang Shen, "Deep Learning of Imaging Phenotype and Genotype forPredicting Overall Survival Time of Glioblastoma Patients", IEEE Transactions on Medical Imaging, vol. 39, no. 6, pp. 2100-2109, 2020.

[3] 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, issue 5, pp. 2293-2304, 2019.

[4] 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.

[5] 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, 2018.

[6] Zhenyu Tang, Yihong Wu, and Yong Fan, Groupwise registration of MR brain images with tumors, Physics in Medicine & Biology, vol. 62, issue 17, pp. 6853-6868, 2017.

[7] Zhenyu Tang and Yong Fan, Groupwise Image Registration Guided by a Dynamic Digraph of Images, Neuroinformatics, vol. 14, issue 2, pp. 131-145, 2016.

二．會議

[1] Zhenyu Tang, Yuyun Xu, Lei Jin,Abudumijiti Aibaidula, Junfeng Lu, Zhicheng Jiao, Jinsong Wu, Han Zhang and Dinggang Shen, “Pre-operative Overall Survival Time Prediction for GlioblastomaPatients Using Deep Learning on Both Imaging Phenotype and Genotype”, MICCAI2019, Shenzhen, China.

[2] 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.

[3] Zhenyu Tang, Di Jiang, Hongming Li and Yong Fan, “Matching Functional Connectivity Patterns for Spatial Correspondence Detection in fMRI Registration”, MIAR/AE-CAI MICCAI Workshop 2013, 8090:249-257, Nagoya, Japan.

[4] Zhenyu Tang, Di Jiang and Yong Fan, “Image registration based on dynamic directed graphs with group-wise image similarity”, ISBI 2013: From Nano to Macro, San Francisco, 12(4): 492-495, CA, USA.

[5] Xianli Liu, Haifeng Zhao, Shaojie Zhang and Zhenyu Tang，“Brain Image Parcellation Using Multi-atlas Guided Adversarial Fully Convolutional Network”, ISBI 2019, Venice, Italy.（通訊作者）

三．專著

[1] Zhenyu Tang and Yong Fan. Groupwise Registration of Brain Images for Establishing Accurate Spatial Correspondence of Brain Structures.Shape Analysis in Medical Image Analysis. Springer, Cham, pp. 229-257, 2014.（章節）

[2] Zhenyu Tang, “Global and Local Adaption of Geometric Deformable Models for Medical Image Segmentation”, VDI-Verlag, ISBN: 978-3-18-328317-0.（獨著）

科研項目

[1] 國家自然科學基金面上項目：面向膠質母細胞瘤的精確預後預測研究

[2] 國家自然科學基金青年項目：基於形狀信息和結果反饋的多圖譜圖像分割方法

[3] 安徽省教育廳高校科研基金重點項目：全局圖像相似度和粗糙形變場的醫學圖像集配準