Zobrazeno 1 - 10
of 237
pro vyhledávání: '"Wang, Yuanjun"'
Autor:
YANG Liming, WANG Yuanjun
Publikováno v:
Chinese Journal of Magnetic Resonance, Vol 41, Iss 3, Pp 341-361 (2024)
Diffusion tensor imaging is an essential technique to study tissue brain microstructure and the distribution of white matter fiber tracts. However, affected by the diffusion-weighted signal attenuation and long echo time, diffusion tensor images suff
Externí odkaz:
https://doaj.org/article/14439e2e83984f71aa0cee23a200f944
Autor:
Song, Chuanwang1 (AUTHOR) songchw_2006@163.com, Wang, Yuanjun1 (AUTHOR), Zhou, Yuanteng1 (AUTHOR), Ma, Yinghao1 (AUTHOR), Li, Enyu1 (AUTHOR), Hu, Keyong1 (AUTHOR)
Publikováno v:
EURASIP Journal on Wireless Communications & Networking. 9/9/2024, Vol. 2024 Issue 1, p1-19. 19p.
Autor:
Wei, Pu-Sheng, Thota, Nagasri, John, Greshma, Chang, Evelyn, Lee, Sunjae, Wang, Yuanjun, Ma, Zitao, Tsai, Yu-Hsuan, Mei, Kuo-Ching
Publikováno v:
In Journal of Controlled Release November 2024 375:366-388
Publikováno v:
In Computers and Geosciences September 2024 191
Publikováno v:
In Ceramics International 1 December 2024 50(23) Part B:51055-51064
Autor:
Li Liang, Wang Yuanjun
Publikováno v:
Applied Sciences, Vol 14, Iss 12, p 5124 (2024)
Background and Purpose: In urological surgery, accurate localization of the ureteral orifice is crucial for procedures such as ureteral stent insertion, assessment of ureteral orifice lesions, and prostate tumor resection. Consequently, we have devel
Externí odkaz:
https://doaj.org/article/a9fca2a8c03647d4a6cb557fc6f87ce9
Autor:
Zhu, Yuemin1 (AUTHOR), Wang, Yuanjun1 (AUTHOR) yjusst@126.com
Publikováno v:
Medical & Biological Engineering & Computing. Mar2024, Vol. 62 Issue 3, p751-771. 21p.
Autor:
QIAN Chengyi, WANG Yuanjun
Publikováno v:
Chinese Journal of Magnetic Resonance, Vol 40, Iss 2, Pp 220-238 (2023)
As global aging worsens and deep learning advances, the imaging classification of Alzheimer’s disease (AD) based on deep learning has become a hot topic of research. This paper reviewed the common deep learning models, evaluation criteria and publi
Externí odkaz:
https://doaj.org/article/5a8b49094bbc4d5db2c8bb80268633f5
Publikováno v:
Chinese Journal of Magnetic Resonance, Vol 40, Iss 1, Pp 52-67 (2023)
The classification of the breast imaging-reporting and data system (BI-RADS) based on magnetic resonance imaging (MRI) refers to the classification of the degree of lesions according to the image signs of lesions, which is usually subjective. Moreove
Externí odkaz:
https://doaj.org/article/f4d887f666214c239353eff25b3b0966