Zobrazeno 1 - 10
of 5 009
pro vyhledávání: '"Xie, Xiao"'
Autor:
Huang, De-Xing, Zhou, Xiao-Hu, Gui, Mei-Jiang, Xie, Xiao-Liang, Liu, Shi-Qi, Wang, Shuang-Yi, Li, Hao, Xiang, Tian-Yu, Hou, Zeng-Guang
Iodinated contrast agents are widely utilized in numerous interventional procedures, yet posing substantial health risks to patients. This paper presents CAS-GAN, a novel GAN framework that serves as a ``virtual contrast agent" to synthesize X-ray an
Externí odkaz:
http://arxiv.org/abs/2410.08490
Autor:
Xie, Xiao-Jin, Shi, Jianrong, Yan, Hong-Liang, Chen, Tian-Yi, Prieto, Carlos Allende, Beers, Timothy C., Liu, Shuai, Li, Chun-Qian, Ding, Ming-Yi, Tang, Yao-Jia, Zhang, Ruizhi, Xie, Renjing
Publikováno v:
ApJL, 2024, Volume 970, Number 2, L30
Highly r-process-enhanced stars are rare and usually metal-poor ([Fe/H] < - 1.0), and mainly populate the Milky Way halo and dwarf galaxies. This study presents the discovery of a relatively bright (V = 12.72), highly r-process-enhanced (r-II) star (
Externí odkaz:
http://arxiv.org/abs/2407.11572
Autor:
Huang, De-Xing, Zhou, Xiao-Hu, Xie, Xiao-Liang, Liu, Shi-Qi, Wang, Shuang-Yi, Feng, Zhen-Qiu, Gui, Mei-Jiang, Li, Hao, Xiang, Tian-Yu, Yao, Bo-Xian, Hou, Zeng-Guang
Automatic vessel segmentation is paramount for developing next-generation interventional navigation systems. However, current approaches suffer from suboptimal segmentation performances due to significant challenges in intraoperative images (i.e., lo
Externí odkaz:
http://arxiv.org/abs/2406.19749
Autor:
Ding, Ming-Yi, Shi, Jian-Rong, Yan, Hong-liang, Li, Chun-Qian, Gao, Qi, Chen, Tian-Yi, Zhang, Jing-Hua, Liu, Shuai, Xie, Xiao-Jin, Tang, Yao-Jia, Zhou, Ze-Ming, Wang, Jiang-Tao
Lithium is a fragile but crucial chemical element in the universe, exhibits interesting and complex behaviors. Thanks to the massive spectroscopic data from the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) medium-resolution surv
Externí odkaz:
http://arxiv.org/abs/2403.01815
Autor:
Huang, De-Xing, Zhou, Xiao-Hu, Xie, Xiao-Liang, Liu, Shi-Qi, Feng, Zhen-Qiu, Gui, Mei-Jiang, Li, Hao, Xiang, Tian-Yu, Liu, Xiu-Ling, Hou, Zeng-Guang
Medical image segmentation takes an important position in various clinical applications. Deep learning has emerged as the predominant solution for automated segmentation of volumetric medical images. 2.5D-based segmentation models bridge computationa
Externí odkaz:
http://arxiv.org/abs/2401.11856
Maps are fundamental medium to visualize and represent the real word in a simple and 16 philosophical way. The emergence of the 3rd wave information has made a proportion of maps are available to be generated ubiquitously, which would significantly e
Externí odkaz:
http://arxiv.org/abs/2312.08600
Autor:
Li, Hao, Zhou, Xiao-Hu, Xie, Xiao-Liang, Liu, Shi-Qi, Feng, Zhen-Qiu, Liu, Xiao-Yin, Gui, Mei-Jiang, Xiang, Tian-Yu, Huang, De-Xing, Yao, Bo-Xian, Hou, Zeng-Guang
Offline reinforcement learning (RL) aims to optimize policy using collected data without online interactions. Model-based approaches are particularly appealing for addressing offline RL challenges due to their capability to mitigate the limitations o
Externí odkaz:
http://arxiv.org/abs/2310.17245
Autor:
Liu, Xiao-Yin, Zhou, Xiao-Hu, Gui, Mei-Jiang, Xie, Xiao-Liang, Liu, Shi-Qi, Wang, Shuang-Yi, Li, Hao, Xiang, Tian-Yu, Huang, De-Xing, Hou, Zeng-Guang
Model-based reinforcement learning (RL), which learns environment model from offline dataset and generates more out-of-distribution model data, has become an effective approach to the problem of distribution shift in offline RL. Due to the gap betwee
Externí odkaz:
http://arxiv.org/abs/2309.08925
Publikováno v:
Hecheng xiangjiao gongye, Vol 46, Iss 6, Pp 519-524 (2024)
The application of neodymium based cis-1,4-polybutadiene rubber (Nd-BR) BR 9101 N in the formula of support compound of run-flat tire was studied, and compared with those of foreign same type product Nd-BR CB 24. The results showed that Nd-BR BR 9101
Externí odkaz:
https://doaj.org/article/0479a0316eb64f6ea50ab3d31f4f9e0f
Robot-assisted intervention has shown reduced radiation exposure to physicians and improved precision in clinical trials. However, existing vascular robotic systems follow master-slave control mode and entirely rely on manual commands. This paper pro
Externí odkaz:
http://arxiv.org/abs/2304.09632