Zobrazeno 1 - 10
of 646
pro vyhledávání: '"ZHANG Zhenlin"'
Publikováno v:
Xiehe Yixue Zazhi, Vol 14, Iss 6, Pp 1203-1207 (2023)
In December 2022, the Guidelines for the Diagnosis and Treatment of Primary Osteoporosis (2022) were released. The guidelines have updated the latest epidemiological data of osteoporosis in China and given recommendations for the diagnosis and treatm
Externí odkaz:
https://doaj.org/article/9b687f00150948dd9b758c83032b77b9
Publikováno v:
Zhenduanxue lilun yu shijian, Vol 22, Iss 03, Pp 230-233 (2023)
China is now witnessing an accelerated aging process，and active reaction is an important issue that we are facing. Osteoporosis and the resulting fractures are particularly noteworthy. In order to further standardize the diagnosis and treatment of
Externí odkaz:
https://doaj.org/article/047403a6e4784f89bee91e31c27b74b4
Magnetic Resonance Imaging (MRI) is a powerful, non-invasive diagnostic tool; however, its clinical applicability is constrained by prolonged acquisition times. Whilst present deep learning-based approaches have demonstrated potential in expediting M
Externí odkaz:
http://arxiv.org/abs/2409.14479
Autor:
Lyu, Jun, Qin, Chen, Wang, Shuo, Wang, Fanwen, Li, Yan, Wang, Zi, Guo, Kunyuan, Ouyang, Cheng, Tänzer, Michael, Liu, Meng, Sun, Longyu, Sun, Mengting, Li, Qin, Shi, Zhang, Hua, Sha, Li, Hao, Chen, Zhensen, Zhang, Zhenlin, Xin, Bingyu, Metaxas, Dimitris N., Yiasemis, George, Teuwen, Jonas, Zhang, Liping, Chen, Weitian, Zhao, Yidong, Tao, Qian, Pang, Yanwei, Liu, Xiaohan, Razumov, Artem, Dylov, Dmitry V., Dou, Quan, Yan, Kang, Xue, Yuyang, Du, Yuning, Dietlmeier, Julia, Garcia-Cabrera, Carles, Hemidi, Ziad Al-Haj, Vogt, Nora, Xu, Ziqiang, Zhang, Yajing, Chu, Ying-Hua, Chen, Weibo, Bai, Wenjia, Zhuang, Xiahai, Qin, Jing, Wu, Lianmin, Yang, Guang, Qu, Xiaobo, Wang, He, Wang, Chengyan
Cardiac MRI, crucial for evaluating heart structure and function, faces limitations like slow imaging and motion artifacts. Undersampling reconstruction, especially data-driven algorithms, has emerged as a promising solution to accelerate scans and e
Externí odkaz:
http://arxiv.org/abs/2404.01082
Autor:
Hao, Ruiyang, Fan, Siqi, Dai, Yingru, Zhang, Zhenlin, Li, Chenxi, Wang, Yuntian, Yu, Haibao, Yang, Wenxian, Yuan, Jirui, Nie, Zaiqing
The value of roadside perception, which could extend the boundaries of autonomous driving and traffic management, has gradually become more prominent and acknowledged in recent years. However, existing roadside perception approaches only focus on the
Externí odkaz:
http://arxiv.org/abs/2403.10145
Scoliosis is a three-dimensional spinal deformity, which may lead to abnormal morphologies, such as thoracic deformity, and pelvic tilt. Severe patients may suffer from nerve damage and urinary abnormalities. At present, the number of scoliosis patie
Externí odkaz:
http://arxiv.org/abs/2310.08756
Autor:
Zhang, Xinyu, Wang, Li, Chen, Jian, Fang, Cheng, Yang, Lei, Song, Ziying, Yang, Guangqi, Wang, Yichen, Zhang, Xiaofei, Li, Jun, Li, Zhiwei, Yang, Qingshan, Zhang, Zhenlin, Ge, Shuzhi Sam
Radar has stronger adaptability in adverse scenarios for autonomous driving environmental perception compared to widely adopted cameras and LiDARs. Compared with commonly used 3D radars, the latest 4D radars have precise vertical resolution and highe
Externí odkaz:
http://arxiv.org/abs/2310.07602
Over the last decade, multi-tasking learning approaches have achieved promising results in solving panoptic driving perception problems, providing both high-precision and high-efficiency performance. It has become a popular paradigm when designing ne
Externí odkaz:
http://arxiv.org/abs/2208.11434
Autor:
Jiao, Shizhe, Zhang, Zhenlin, Wu, Kai, Wan, Lingyun, Ma, Huanhuan, Li, Jielan, Chen, Sheng, Qin, Xinming, Liu, Jie, Ding, Zijing, Yang, Jinlong, Li, Yingzhou, Hu, Wei, Lin, Lin, Yang, Chao
Publikováno v:
Comp. Phys. Comm. 279, 108424 (2022)
KSSOLV (Kohn-Sham Solver) is a MATLAB toolbox for performing Kohn-Sham density functional theory (DFT) calculations with a plane-wave basis set. KSSOLV 2.0 preserves the design features of the original KSSOLV software to allow users and developers to
Externí odkaz:
http://arxiv.org/abs/2206.01993
Publikováno v:
In Materialia December 2024 38