Zobrazeno 1 - 10
of 588
pro vyhledávání: '"WANG YiHe"'
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
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
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.
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
Video game testing requires game-specific knowledge as well as common sense reasoning about the events in the game. While AI-driven agents can satisfy the first requirement, it is not yet possible to meet the second requirement automatically. Therefo
Externí odkaz:
http://arxiv.org/abs/2210.02506
Autor:
Wang, Wei1 (AUTHOR), Wang, Yihe2 (AUTHOR), Wang, Feng3 (AUTHOR), Chen, Hui4,5 (AUTHOR), Qin, Xiaqing6 (AUTHOR), Yang, Lexia7 (AUTHOR), Yang, Xiaorong4,5 (AUTHOR) yangxiaorong@sdu.edu.cn, Yang, Lejin1 (AUTHOR) yanglejin@sdu.edu.cn
Publikováno v:
BMC Public Health. 6/13/2024, Vol. 24 Issue 1, p1-15. 15p.