Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Shuoyan ZHANG"'
Autor:
Ying Zhang, Le Xue, Shuoyan Zhang, Jiacheng Yang, Qi Zhang, Min Wang, Luyao Wang, Mingkai Zhang, Jiehui Jiang, Yunxia Li, for the Alzheimer’s Disease Neuroimaging Initiative
Publikováno v:
Alzheimer’s Research & Therapy, Vol 16, Iss 1, Pp 1-16 (2024)
Abstract Background Functional connectivity (FC) biomarkers play a crucial role in the early diagnosis and mechanistic study of Alzheimer’s disease (AD). However, the identification of effective FC biomarkers remains challenging. In this study, we
Externí odkaz:
https://doaj.org/article/50614f0149e34e64ad5d8e1b00cba4a7
Autor:
Jiehui Jiang, Rong Shi, Jiaying Lu, Min Wang, Qi Zhang, Shuoyan Zhang, Luyao Wang, Ian Alberts, Axel Rominger, Chuantao Zuo, Kuangyu Shi
Publikováno v:
NeuroImage, Vol 291, Iss , Pp 120593- (2024)
Objective: The conventional methods for interpreting tau PET imaging in Alzheimer's disease (AD), including visual assessment and semi-quantitative analysis of fixed hallmark regions, are insensitive to detect individual small lesions because of the
Externí odkaz:
https://doaj.org/article/9875606e6c7b49c29f62d031d226cef8
Publikováno v:
Brain Sciences, Vol 13, Iss 10, p 1462 (2023)
Neurological disorders (NDs), such as Alzheimer’s disease, have been a threat to human health all over the world. It is of great importance to diagnose ND through combining artificial intelligence technology and brain imaging. A graph neural networ
Externí odkaz:
https://doaj.org/article/11fe7517dcc14ab28244768129f04cbe
Publikováno v:
ICT Express, Vol 7, Iss 4, Pp 445-448 (2021)
In this paper, we present a convergence proof for an iterative procedure of local mode filtering. We formulate the local mode filtering as a quadratic optimization problem based on the Legendre transform of convex function, from which two closed-form
Externí odkaz:
https://doaj.org/article/a6d33c738aac4c7593302bc89926981e
Publikováno v:
Journal of Hebei University of Science and Technology, Vol 41, Iss 1, Pp 1-13 (2020)
Superhydrophobic surface can cause a water droplet to show a static contact angle >150° and a sliding angle
Externí odkaz:
https://doaj.org/article/87f7d9f154274eeeb28f83e9309f7a4e
Publikováno v:
Royal Society Open Science, Vol 7, Iss 3 (2020)
Inner surface of Nepenthes slippery zone shows anisotropic superhydrophobic wettability. Here, we investigate what factors cause the anisotropy via sliding angle measurement, morphology/structure observation and model analysis. Static contact angle o
Externí odkaz:
https://doaj.org/article/71912939f0ef49339c71e1e6e7773ac8
Publikováno v:
International Journal of Hydrogen Energy. 48:4207-4219
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::779993d10fff8daa527ac33c2673a718
https://doi.org/10.1016/j.ijhydene.2022.11.002
https://doi.org/10.1016/j.ijhydene.2022.11.002
Autor:
Rong Shi, Can Sheng, Shichen Jin, Qi Zhang, Shuoyan Zhang, Liang Zhang, Changchang Ding, Luyao Wang, Lei Wang, Ying Han, Jiehui Jiang
Publikováno v:
Human brain mappingREFERENCES.
Exploring individual brain atrophy patterns is of great value in precision medicine for Alzheimer's disease (AD) and mild cognitive impairment (MCI). However, the current individual brain atrophy detection models are deficient. Here, we proposed a fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a17b5791f9f71e52ad6665855e41dbab
https://pubmed.ncbi.nlm.nih.gov/36394351
https://pubmed.ncbi.nlm.nih.gov/36394351
Publikováno v:
2022 4th International Conference on Intelligent Control, Measurement and Signal Processing (ICMSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f140a713d0203c9ab39a14ee04a3479
https://doi.org/10.1109/icmsp55950.2022.9859221
https://doi.org/10.1109/icmsp55950.2022.9859221
Publikováno v:
International Journal of Environmental Research and Public Health; Volume 19; Issue 9; Pages: 5601
Evidence-based treatment is the basis of traditional Chinese medicine (TCM), and the accurate differentiation of syndromes is important for treatment in this context. The automatic differentiation of syndromes of unstructured medical records requires
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25b599fdc73a0fc7e81419a8eb00afc7
https://pubmed.ncbi.nlm.nih.gov/35564995
https://pubmed.ncbi.nlm.nih.gov/35564995