Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Zhenyu Tang"'
Publikováno v:
IEEE Transactions on Medical Imaging. 39:2818-2830
Dynamic functional connectivity (dFC) analysis using resting-state functional Magnetic Resonance Imaging (rs-fMRI) is currently an advanced technique for capturing the dynamic changes of neural activities in brain disease identification. Most existin
Publikováno v:
2020 9th International Conference on Bioinformatics and Biomedical Science.
Image noise is an inherent issue in low-dose CT (LDCT). Increasing radiation dose can alleviate this problem to some extent, but it also brings potential risks to the patients. Thus, LDCT denoising has raised increasing attention from researchers. Cu
Publikováno v:
2020 9th International Conference on Bioinformatics and Biomedical Science.
Brain image registration (BIR) plays an important role in neuroscience. However, for the registration of brain image containing tumors, the existence of tumor could cause great influence to BIR. One possible solution for getting rid of such influence
Publikováno v:
2020 9th International Conference on Bioinformatics and Biomedical Science.
Brain image parcellation is an important data processing step in neuroscience. Since multi-atlas based parcellation (MAP) uses prior information from brain atlases (i.e., manually labeled brain regions), it can provide accurate brain parcellation and
Autor:
Dinggang Shen, Tianmin Ma, Xingzhi Xie, Zheng Zhong, Wei Zhao, Zhenyu Tang, Feng Shi, Jun Liu
Publikováno v:
Physics in Medicine & Biology
The coronavirus disease 2019 (COVID-19) is now a global pandemic. Tens of millions of people have been confirmed with infection, and also more people are suspected. Chest computed tomography (CT) is recognized as an important tool for COVID-19 severi
Publikováno v:
ISBI
Although thyroid ultrasonography (US) has been widely applied, it is still difficult to distinguish benign and malignant nodules. Currently, convolutional neural network (CNN) based methods have been proposed and shown promising performance for benig
Autor:
Dinggang Shen, Zhicheng Jiao, Junfeng Lu, Yuyun Xu, Lei Jin, Abudumijiti Aibaidula, Han Zhang, Jinsong Wu, Zhenyu Tang
Publikováno v:
IEEE Trans Med Imaging
Glioblastoma (GBM) is the most common and deadly malignant brain tumor. For personalized treatment, an accurate pre-operative prognosis for GBM patients is highly desired. Recently, many machine learning-based methods have been adopted to predict ove
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aded97b05b9bb5d23d71a4be95ae48db
https://europepmc.org/articles/PMC7289674/
https://europepmc.org/articles/PMC7289674/
Autor:
Yinghuan Shi, Jun Shi, Ziyan Wu, Jun Wang, Qian Wang, Kelei He, Zhenyu Tang, Dinggang Shen, Feng Shi
Publikováno v:
IEEE Reviews in Biomedical Engineering
(This paper was submitted as an invited paper to IEEE Reviews in Biomedical Engineering on April 6, 2020.) The pandemic of coronavirus disease 2019 (COVID-19) is spreading all over the world. Medical imaging such as X-ray and computed tomography (CT)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::879b0e3193e94ae0980433dae4c43924
Publikováno v:
Scientific Reports
Scientific Reports, Vol 9, Iss 1, Pp 1-14 (2019)
Scientific Reports, Vol 9, Iss 1, Pp 1-14 (2019)
Automatic and reliable segmentation of the hippocampus from magnetic resonance (MR) brain images is extremely important in a variety of neuroimage studies. To improve the hippocampus segmentation performance, a local binary pattern based feature extr
Autor:
Zhicheng Jiao, Junfeng Lu, Dinggang Shen, Zhenyu Tang, Qian Wang, Lei Jin, Jinsong Wu, Abudumijiti Aibaidula, Han Zhang, Yuyun Xu
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030322380
MICCAI (1)
Med Image Comput Comput Assist Interv
MICCAI (1)
Med Image Comput Comput Assist Interv
Glioblastoma (GBM) is the most common and deadly malignant brain tumor with short yet varied overall survival (OS) time. Per request of personalized treatment, accurate pre-operative prognosis for GBM patients is highly desired. Currently, many machi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5ad3e5fc22a4275841db03619f1910a
https://doi.org/10.1007/978-3-030-32239-7_46
https://doi.org/10.1007/978-3-030-32239-7_46