Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDZhenyu Tang 0002
Person information
- affiliation: Beihang University, Beijing Advanced Innovation Center for Big Data and Brain Computing, Beijing, China
- affiliation: Anhui University, Departmnet of computer science and technology, Hefei, China
- affiliation: University of North Carolina at Chapel Hill, Department of Radiology and BRIC, NC, USA
- affiliation: Chinese Academy of Science, Automation Institute, China
- affiliation (PhD 2011): University of Duisburg-Essen, department of Computer Engineering, Germany
Other persons with the same name
- Zhenyu Tang — disambiguation page
- Zhenyu Tang 0001
![[0000-0001-5544-9727]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-5544-9727")
— University of Maryland, Department of Computer Science, College Park, MD, USA (and 2 more) - Zhenyu Tang 0003 — University of California, Computer Engineering Department, School of Engineering, Santa Cruz, CA, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j9]Huabing Liu, Zhengze Ni, Dong Nie, Dinggang Shen, Jinda Wang, Zhenyu Tang:
Multimodal Brain Tumor Segmentation Boosted by Monomodal Normal Brain Images. IEEE Trans. Image Process. 33: 1199-1210 (2024)- [j8]Huabing Liu, Dong Nie, Jian Yang, Jinda Wang, Zhenyu Tang:
A New Multi-Atlas Based Deep Learning Segmentation Framework With Differentiable Atlas Feature Warping. IEEE J. Biomed. Health Informatics 28(3): 1484-1493 (2024) - 2021
- [j7]Kelei He, Wei Zhao, Xingzhi Xie, Wen Ji, Mingxia Liu, Zhenyu Tang, Yinghuan Shi, Feng Shi, Yang Gao, Jun Liu, Junfeng Zhang, Dinggang Shen:
Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images. Pattern Recognit. 113: 107828 (2021) - 2020
- [j6]Zhenyu Tang, Xianli Liu, Yang Li, Pew-Thian Yap, Dinggang Shen:
Multi-Atlas Brain Parcellation Using Squeeze-and-Excitation Fully Convolutional Networks. IEEE Trans. Image Process. 29: 6864-6872 (2020) - [j5]Zhenyu Tang, Yuyun Xu, Lei Jin, Abudumijiti Aibaidula, Junfeng Lu, Zhicheng Jiao, Jinsong Wu, Han Zhang, Dinggang Shen:
Deep Learning of Imaging Phenotype and Genotype for Predicting Overall Survival Time of Glioblastoma Patients. IEEE Trans. Medical Imaging 39(6): 2100-2109 (2020) - [j4]Yang Li, Jingyu Liu, Zhenyu Tang, Baiying Lei:
Deep Spatial-Temporal Feature Fusion From Adaptive Dynamic Functional Connectivity for MCI Identification. IEEE Trans. Medical Imaging 39(9): 2818-2830 (2020) - [c4]Meng Kong, Haifeng Zhao, Shaojie Zhang, Zhenyu Tang:
Two-stage Generative Adversarial Recovery Network for MR Brain Images Containing Tumors. ICBBS 2020: 20-24 - [c3]Ying Bai, Haifeng Zhao, Shaojie Zhang, Dong Nie, Zhenyu Tang:
Multi-scale Hierarchy Feature Fusion Generative Adversarial Network for Low-Dose CT Denoising. ICBBS 2020: 102-106 - [c2]Xiao Zhang, Haifeng Zhao, Zhenyu Tang, Shaojie Zhang:
Brain Image Parcellation Using Fully Convolutional Network with Adaptively Selected Features from Brain Atlases. ICBBS 2020: 107-111 - [i3]Zhenyu Tang, Wei Zhao, Xingzhi Xie, Zheng Zhong, Feng Shi, Jun Liu, Dinggang Shen:
Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images. CoRR abs/2003.11988 (2020) - [i2]Feng Shi, Jun Wang, Jun Shi, Ziyan Wu, Qian Wang, Zhenyu Tang, Kelei He, Yinghuan Shi, Dinggang Shen:
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19. CoRR abs/2004.02731 (2020) - [i1]Kelei He, Wei Zhao, Xingzhi Xie, Wen Ji, Mingxia Liu, Zhenyu Tang, Feng Shi, Yang Gao, Jun Liu, Junfeng Zhang, Dinggang Shen:
Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images. CoRR abs/2005.03832 (2020)
2010 – 2019
- 2019
- [j3]Zhenyu Tang, Pew-Thian Yap, Dinggang Shen:
A New Image Similarity Metric for Improving Deformation Consistency in Graph-Based Groupwise Image Registration. IEEE Trans. Biomed. Eng. 66(8): 2192-2199 (2019) - [j2]Zhenyu Tang, Pew-Thian Yap, Dinggang Shen:
A New Multi-Atlas Registration Framework for Multimodal Pathological Images Using Conventional Monomodal Normal Atlases. IEEE Trans. Image Process. 28(5): 2293-2304 (2019) - [c1]Zhenyu Tang, Yuyun Xu, Zhicheng Jiao, Junfeng Lu, Lei Jin, Abudumijiti Aibaidula, Jinsong Wu, Qian Wang, Han Zhang, Dinggang Shen:
Pre-operative Overall Survival Time Prediction for Glioblastoma Patients Using Deep Learning on Both Imaging Phenotype and Genotype. MICCAI (1) 2019: 415-422 - 2018
- [j1]Zhenyu Tang, Sahar Ahmad, Pew-Thian Yap, Dinggang Shen:
Multi-Atlas Segmentation of MR Tumor Brain Images Using Low-Rank Based Image Recovery. IEEE Trans. Medical Imaging 37(10): 2224-2235 (2018)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-07-15 00:12 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
