Yipu Zhang
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Explore the profile of Yipu Zhang including associated specialties, affiliations and a list of published articles.
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15
Citations
63
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Recent Articles
1.
Chen J, Geng X, Wang C, Zhang Y, Feng J, Zhang T, et al.
Int Orthop
. 2025 Feb;
PMID: 40009175
Purpose: The optimal coronal alignment in total knee arthroplasty (TKA) remains debatable, necessitating a clear, simple, and universal classification system. The Coronal Plane Alignment of the Knee (CPAK) classification introduced...
2.
Wang H, Zhang Y, Zhang Y, Li C, Zhang M, Wang J, et al.
Adv Mater
. 2024 May;
36(30):e2402968.
PMID: 38706203
Efferocytosis-mediated inflammatory reversal plays a crucial role in bone repairing process. However, in refractory bone defects, the macrophage continual efferocytosis may be suppressed due to the disrupted microenvironment homeostasis, particularly...
3.
Chang B, Cao T, Shen Z, Zhang Y, Wang Z, Li J, et al.
J Hazard Mater
. 2023 Mar;
452:131275.
PMID: 36989772
Obtaining high removal rate of chlorinated volatile organic compounds (CVOCs) and CO selectivity with a low ratio of O/CVOC and energy consumption is challenging. Dodecylamine was used in this study...
4.
Zhang Y, Zhang H, Xiao L, Bai Y, Calhoun V, Wang Y
IEEE Trans Med Imaging
. 2022 Mar;
41(9):2263-2272.
PMID: 35320094
Recent studies show that multi-modal data fusion techniques combine information from diverse sources for comprehensive diagnosis and prognosis of complex brain disorder, often resulting in improved accuracy compared to single-modality...
5.
Peng P, Ju Y, Zhang Y, Wang K, Jiang S, Wang Y
IEEE Access
. 2021 Mar;
8:104396-104406.
PMID: 33747675
Schizophrenia is a complex mental illness, the mechanism of which is currently unclear. Using sparse representation and dictionary learning (SDL) model to analyze functional magnetic resonance imaging (fMRI) dataset of...
6.
Zhang Y, Xiao L, Zhang G, Cai B, Stephen J, Wilson T, et al.
IEEE J Biomed Health Inform
. 2020 Aug;
25(5):1712-1723.
PMID: 32841133
Functional magnetic resonance imaging (fMRI) is a powerful technique with the potential to estimate individual variations in behavioral and cognitive traits. Joint learning of multiple datasets can utilize their complementary...
7.
Peng P, Zhang Y, Ju Y, Wang K, Li G, Calhoun V, et al.
IEEE/ACM Trans Comput Biol Bioinform
. 2020 Aug;
19(1):479-490.
PMID: 32750856
With the development of multi-model neuroimaging technology and gene detection technology, the efforts of integrating multi-model imaging genetics data to explore the virulence factors of schizophrenia (SZ) are still limited....
8.
Shi X, Gao Y, Song L, Zhao P, Zhang Y, Ding Y, et al.
Neuropharmacology
. 2020 Jul;
176:108252.
PMID: 32712276
Sulfur dioxide (SO) can be endogenously generated from sulfur-containing amino acids in animals and humans. Increasing evidence shows that endogenous SO may act as a gaseous molecule to participate in...
9.
Zhang Y, Peng P, Ju Y, Li G, Calhoun V, Wang Y
IEEE J Biomed Health Inform
. 2020 Feb;
24(9):2621-2629.
PMID: 32071012
Current developments of neuroimaging and genetics promote an integrative and compressive study of schizophrenia. However, it is still difficult to explore how gene mutations are related to brain abnormalities due...
10.
Xiao L, Wang J, Kassani P, Zhang Y, Bai Y, Stephen J, et al.
IEEE Trans Med Imaging
. 2019 Dec;
39(5):1746-1758.
PMID: 31796393
Recently, a hypergraph constructed from functional magnetic resonance imaging (fMRI) was utilized to explore brain functional connectivity networks (FCNs) for the classification of neurodegenerative diseases. Each edge of a hypergraph...