Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Xuezhi Ren"'
Autor:
Xiaojie Lv, Xuezhi Ren, Peng He, Mi Zhou, Zourong Long, Xiaodong Guo, Chengyu Fan, Biao Wei, Peng Feng
Publikováno v:
IEEE Access, Vol 8, Pp 225594-225601 (2020)
The spectral computed tomography (CT) based on photon counting detectors can collect the incident photons with different energy ranges. However, due to the low photon counts in narrow energy bin and the unhomogeneous response problem of detector cell
Externí odkaz:
https://doaj.org/article/c3b264084bb6429a9d0f990904ace660
Autor:
Fengxiao Li, Zourong Long, Peng He, Peng Feng, Xiaodong Guo, Xuezhi Ren, Biao Wei, Mingfu Zhao, Bin Tang
Publikováno v:
IEEE Access, Vol 8, Pp 229132-229140 (2020)
Semantic segmentation networks focus on the scene parsing of an unrestricted open scene. The typical segmentation architectures are stacks consisting of convolutional layers, which are used to extract semantic features. The feature map dimension is s
Externí odkaz:
https://doaj.org/article/02eadafd268442d197417497e69b4609
Autor:
Zourong Long, Peng He, Xiaochuan Wu, Xiaodong Guo, Xuezhi Ren, Mianyi Chen, Jingxuan Gao, Biao Wei, Wenxiang Cong, Peng Feng
Publikováno v:
IEEE Access, Vol 7, Pp 167187-167194 (2019)
The spectral computed tomography (CT) based on photon-counting detector performs energy-dependent image reconstruction of material attenuation coefficients, allowing for effective medical diagnosis and material discrimination. However, the spectral C
Externí odkaz:
https://doaj.org/article/b933794a31ff457f8d06c5d508159963
Publikováno v:
ASCE-ASME Journal of Risk & Uncertainty in Engineering Systems, Part A: Civil Engineering; Jun2024, Vol. 10 Issue 2, p1-11, 11p
Autor:
Xiaodong Guo, Peng He, Xiaojie Lv, Xuezhi Ren, Yonghui Li, Yuanfeng Liu, Xiaohua Lei, Peng Feng, Hongming Shan
Publikováno v:
Nuclear Science and Techniques. 34
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a721a06c0b5cf2c30fd8d68eba8537e8
https://doi.org/10.1007/s41365-023-01184-5
https://doi.org/10.1007/s41365-023-01184-5
Autor:
Chengyu Fan, Xiaodong Guo, Mi Zhou, Biao Wei, Peng He, Zourong Long, Xuezhi Ren, Xiaojie Lv, Peng Feng
Publikováno v:
IEEE Access, Vol 8, Pp 225594-225601 (2020)
The spectral computed tomography (CT) based on photon counting detectors can collect the incident photons with different energy ranges. However, due to the low photon counts in narrow energy bin and the unhomogeneous response problem of detector cell
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7e7308dcb22335dce70d8f704bcc66b
https://ieeexplore.ieee.org/document/9293287/
https://ieeexplore.ieee.org/document/9293287/
Autor:
Peng He, Bin Tang, Zourong Long, Mingfu Zhao, Peng Feng, Xuezhi Ren, Xiaodong Guo, Li Fengxiao, Biao Wei
Publikováno v:
IEEE Access, Vol 8, Pp 229132-229140 (2020)
Semantic segmentation networks focus on the scene parsing of an unrestricted open scene. The typical segmentation architectures are stacks consisting of convolutional layers, which are used to extract semantic features. The feature map dimension is s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6822abf14fe94c6d9bd92afa2f57ddd5
https://doi.org/10.1109/access.2020.3045280
https://doi.org/10.1109/access.2020.3045280
Autor:
Peijun Chen, Peng Feng, Xuezhi Ren, Kang An, Xiaodong Guo, Luzhen Deng, Mianyi Chen, Xiaochuan Wu, Pengcheng Li, Biao Wei, Peng He, Zourong Long
Publikováno v:
Journal of X-Ray Science and Technology. 27:461-471
Background Spectral computed tomography (CT) has the capability to resolve the energy levels of incident photons, which has the potential to distinguish different material compositions. Although material decomposition methods based on x-ray attenuati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::133a9e9e5ce0cc43645f0132958a2a06
https://doi.org/10.3233/xst-190500
https://doi.org/10.3233/xst-190500
Publikováno v:
Food Funct.. 5:1915-1919
Excessive activation of the microglia in the brain is involved in the development of several neurodegenerative diseases. Previous studies have indicated that (-)-epigallocatechin gallate (EGCG), a major active constituent of green tea, exhibits poten
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a43b5d32769e212b78b9121cdc4f4404
https://doi.org/10.1039/c4fo00143e
https://doi.org/10.1039/c4fo00143e
Publikováno v:
Food & Function; 2014, Vol. 5 Issue 8, p1915-1919, 5p