Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Zuhui Wang"'
Publikováno v:
Frontiers in Neurology, Vol 15 (2024)
Background and aimTraumatic brain injury (TBI), a leading cause of high morbidity and mortality, represents a significant global public health challenge. Currently, no effective treatment for TBI exists. Curcumin, an active compound extracted from th
Externí odkaz:
https://doaj.org/article/c9db59897d49472581f01f2e7b123eb3
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
IntroductionLimb-salvage surgery has become the mainstream approaches for the treatment of sarcoma in the lower extremity. In cases where the sarcoma infiltrates the primary vessel, concurrent resection of the vessels and vascular reconstruction are
Externí odkaz:
https://doaj.org/article/65a259e612c542f298dc40f771e2601d
Publikováno v:
Journal of Interventional Medicine, Vol 2, Iss 4, Pp 146-149 (2019)
Purpose: The aim of this study was to evaluate the clinical effects of the Trivex system in the treatment of primary severe superficial varicose veins of the lower extremity and compare Trivex to the point-form-stripping combined with foam sclerother
Externí odkaz:
https://doaj.org/article/aa9e28f0b97d4a07ad51ae8a6c3a7121
Autor:
Shuqiang Wang, Yanyan Shen, Changhong Shi, Peng Yin, Zuhui Wang, Prudence Wing-Hang Cheung, Jason Pui Yin Cheung, Keith Dip-Kei Luk, Yong Hu
Publikováno v:
IEEE Access, Vol 6, Pp 29979-29993 (2018)
In this paper, we present an automated skeletal maturity recognition system that takes a single hand radiograph as an input and finally output the bone age prediction. Unlike the conventional manually diagnostic methods, which are laborious, fallible
Externí odkaz:
https://doaj.org/article/7c8c80d929a94f798fd09a9ee34b57c3
Autor:
Zuhui Wang, Wulan Deng
Publikováno v:
Developmental Biology. 482:67-81
Cell fate changes during development, differentiation, and reprogramming are largely controlled at the transcription level. The DNA-binding transcription factors (TFs) often act in a combinatorial fashion to alter chromatin states and drive cell type
Autor:
Fu Hung Shiu, Henry Skelton, Ken Berglund, Alejandra M. Fernandez, Claire-Anne N. Gutekunst, Elizabeth R. Robinson, Zuhui Wang, Robert E. Gross
Previous studies in human patients and rodent models of Parkinson’s disease (PD) have established neuroprotection of dopaminergic (DA) neurons in substantia nigra pars compacta (SNC) by physical exercise, but the precise origin of this neuroprotect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aba4db4ad1b2265202f6bffc4bdddf67
https://doi.org/10.1101/2022.10.17.512538
https://doi.org/10.1101/2022.10.17.512538
Publikováno v:
Journal of Interactive Marketing. 55:67-80
A carefully tailored tone in response to a complaint on social media can create positive emotions for an upset customer. However, very few studies have identified what response tones, based on an established theory, would be most effective for compla
Publikováno v:
J Neurosci Res
Luminopsins (LMOs) are chimeric proteins consisting of a luciferase fused to an opsin that provide control of neuronal activity, allowing for less cumbersome and less invasive optogenetic manipulation. It was previously shown that both an external li
Autor:
Zuhui Wang, Zhaozheng Yin
Publikováno v:
Machine Learning in Medical Imaging ISBN: 9783030875886
MLMI@MICCAI
MLMI@MICCAI
The purpose of cell counting is to estimate the number of cells in microscopy images. Most popular methods obtain the cell numbers by integrating the density maps that are generated by deep cell counting networks. However, these cell counting network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1d61d491fa4c7824e410eef3306944a
https://doi.org/10.1007/978-3-030-87589-3_13
https://doi.org/10.1007/978-3-030-87589-3_13
Autor:
Zuhui Wang, Zhaozheng Yin
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030872366
MICCAI (8)
MICCAI (8)
Recent advances in deep learning have achieved impressive results on microscopy cell counting tasks. The success of deep learning models usually needs sufficient training data with manual annotations, which can be time-consuming and costly. In this p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fdf18c2c72b01beb57db1fb3de685685
https://doi.org/10.1007/978-3-030-87237-3_39
https://doi.org/10.1007/978-3-030-87237-3_39