Zobrazeno 1 - 10
of 558
pro vyhledávání: '"Wang Yihe"'
Publikováno v:
陆军军医大学学报, Vol 45, Iss 13, Pp 1430-1435 (2023)
Objective To improve the early management of penile amputation injury by analyzing and summarizing our microreplantation experience of 4 cases of complete penile amputation. Methods Clinical data of 4 patients with complete penile amputation admitted
Externí odkaz:
https://doaj.org/article/aacaf3660bb149ff9ef9d76317b5deeb
Medical time series (MedTS) play a critical role in many healthcare applications, such as vital sign monitoring and the diagnosis of brain and heart diseases. However, the existence of subject-specific features poses unique challenges in MedTS evalua
Externí odkaz:
http://arxiv.org/abs/2410.03057
Publikováno v:
Jixie qiangdu, Vol 43, Pp 488-493 (2021)
For the wave cylinder,three wavelength models were established. The large eddy simulation method is used to analyze the flow characteristics of wave members with convection angle under high Reynolds number. The velocity and pressure distribution laws
Externí odkaz:
https://doaj.org/article/a5e353fcc6aa472aa95304b5f5ade012
Autor:
Wang, Yihe, Mammone, Nadia, Petrovsky, Darina, Tzallas, Alexandros T., Morabito, Francesco C., Zhang, Xiang
Electroencephalogram (EEG) has emerged as a cost-effective and efficient method for supporting neurologists in assessing Alzheimer's disease (AD). Existing approaches predominantly utilize handcrafted features or Convolutional Neural Network (CNN)-ba
Externí odkaz:
http://arxiv.org/abs/2409.00032
Autor:
Sun, Shuo, You, Jing-Yang, Cai, Zhihao, Su, Jie, Yang, Tong, Peng, Xinnan, Wang, Yihe, Geng, Daiyu, Gou, Jian, Huang, Yuli, Duan, Sisheng, Chen, Lan, Wu, Kehui, Wee, Andrew T. S., Feng, Yuan Ping, Zhang, Jia Lin, Lu, Jiong, Feng, Baojie, Chen, Wei
Materials with flat bands can serve as a promising platform to investigate strongly interacting phenomena. However, experimental realization of ideal flat bands is mostly limited to artificial lattices or moir\'e systems. Here we report a general way
Externí odkaz:
http://arxiv.org/abs/2407.08353
Publikováno v:
Neurips 2024
Medical time series (MedTS) data, such as Electroencephalography (EEG) and Electrocardiography (ECG), play a crucial role in healthcare, such as diagnosing brain and heart diseases. Existing methods for MedTS classification primarily rely on handcraf
Externí odkaz:
http://arxiv.org/abs/2405.19363
Autor:
Chen, Jian, Chen, Mingcong, Zhao, Qingxiang, Wang, Shuai, Wang, Yihe, Xiao, Ying, Hu, Jian, Chan, Danny Tat Ming, Yeung, Kam Tong Leo, Chan, David Yuen Chung, Liu, Hongbin
Publikováno v:
IEEE International Conference on Robotics & Automation, 2024
Traditional rigid endoscopes have challenges in flexibly treating tumors located deep in the brain, and low operability and fixed viewing angles limit its development. This study introduces a novel dual-segment flexible robotic endoscope MicroNeuro,
Externí odkaz:
http://arxiv.org/abs/2402.09679
Weak gravitational lensing is an invaluable tool for understanding fundamental cosmological physics. An unresolved issue in weak lensing cosmology is to accurately reconstruct the lensing convergence $\kappa$ maps from discrete shear catalog with sur
Externí odkaz:
http://arxiv.org/abs/2311.00316
Publikováno v:
NeurIPS 2023
Contrastive representation learning is crucial in medical time series analysis as it alleviates dependency on labor-intensive, domain-specific, and scarce expert annotations. However, existing contrastive learning methods primarily focus on one singl
Externí odkaz:
http://arxiv.org/abs/2310.14017
Autor:
Wang, Yujiao1,2,3,4 (AUTHOR), Wang, Yihe3,4,5 (AUTHOR), Guo, Linai1,3,4 (AUTHOR), Shen, Chunhao3,4,5 (AUTHOR), Fu, Yongjuan1,3,4 (AUTHOR), Wei, Penghu3,4,5 (AUTHOR), Shan, Yongzhi3,4,5 (AUTHOR), Wu, Qian6 (AUTHOR), Piao, Yue-Shan1,3,4 (AUTHOR) yueshanpiao@126.com, Zhao, Guoguang3,4,5 (AUTHOR) ggzhao@vip.sina.com
Publikováno v:
Acta Neuropathologica Communications. 11/30/2024, Vol. 12 Issue 1, p1-14. 14p.