Zobrazeno 1 - 10
of 773
pro vyhledávání: '"Yang Zhiwen"'
Autor:
Wang Yanmeng, Yao Qian, Zhang Shijian, Li Lixuan, Tian Liran, Du Tianqiang, Zhu Peipei, Yang Zhiwen, Li Jingyuan
Publikováno v:
E3S Web of Conferences, Vol 522, p 01003 (2024)
The selection of mobile phase is significant for the separation result of HPLC, for it may have influence on the quantitative analysis. During HPLC analysis, engineers usually use (water-acetonitrile) mobile phase system to separate aldehydes and ket
Externí odkaz:
https://doaj.org/article/7375b48f0ca1416590187d10f8d3bfe7
Publikováno v:
BMC Gastroenterology, Vol 22, Iss 1, Pp 1-5 (2022)
Abstract Background Postpolypectomy fever (PPF) is a rare complication in patients after colonoscopy. Because of the absence of evidence of microperforation and abdominal tenderness, patients with PPF usually present mild clinical symptoms with a goo
Externí odkaz:
https://doaj.org/article/367996bc60204700865393f98ac14a78
Publikováno v:
Dianzi Jishu Yingyong, Vol 47, Iss 1, Pp 86-90 (2021)
Aiming at the problem of real-time storage of high resolution, high frame frequency and large capacity image data obtained in telemetry test, as well as the problem of transmission stability, we optimized a storage system. This system takes 7 series
Externí odkaz:
https://doaj.org/article/3ac4d362fb1e4a2da2d688a70b43f2ec
Transformers have revolutionized medical image restoration, but the quadratic complexity still poses limitations for their application to high-resolution medical images. The recent advent of RWKV in the NLP field has attracted much attention as it ca
Externí odkaz:
http://arxiv.org/abs/2407.11087
Autor:
Yang, Zhiwen, Chen, Haowei, Qian, Ziniu, Zhou, Yang, Zhang, Hui, Zhao, Dan, Wei, Bingzheng, Xu, Yan
Transformer-based methods have demonstrated impressive results in medical image restoration, attributed to the multi-head self-attention (MSA) mechanism in the spatial dimension. However, the majority of existing Transformers conduct attention within
Externí odkaz:
http://arxiv.org/abs/2407.09268
Autor:
Yang, Zhiwen, Chen, Haowei, Qian, Ziniu, Yi, Yang, Zhang, Hui, Zhao, Dan, Wei, Bingzheng, Xu, Yan
Although single-task medical image restoration (MedIR) has witnessed remarkable success, the limited generalizability of these methods poses a substantial obstacle to wider application. In this paper, we focus on the task of all-in-one medical image
Externí odkaz:
http://arxiv.org/abs/2405.19769
Image-guided depth completion aims at generating a dense depth map from sparse LiDAR data and RGB image. Recent methods have shown promising performance by reformulating it as a classification problem with two sub-tasks: depth discretization and prob
Externí odkaz:
http://arxiv.org/abs/2405.09342
Multi-center positron emission tomography (PET) image synthesis aims at recovering low-dose PET images from multiple different centers. The generalizability of existing methods can still be suboptimal for a multi-center study due to domain shifts, wh
Externí odkaz:
http://arxiv.org/abs/2307.05249
Autor:
Yang, Zhiwen1 (AUTHOR), Guo, Xinyi1 (AUTHOR), Chen, Xuanzhi1 (AUTHOR), Huang, Jianfei1 (AUTHOR) jfhuang@lsec.cc.ac.cn
Publikováno v:
PLoS ONE. 8/20/2024, Vol. 19 Issue 8, p1-21. 21p.
Publikováno v:
IEEE Transactions on Medical Imaging, 2022, 41(8): 2092-2104
Potential radioactive hazards in full-dose positron emission tomography (PET) imaging remain a concern, whereas the quality of low-dose images is never desirable for clinical use. So it is of great interest to translate low-dose PET images into full-
Externí odkaz:
http://arxiv.org/abs/2205.08887