Daxing Wang
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Explore the profile of Daxing Wang including associated specialties, affiliations and a list of published articles.
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Articles
14
Citations
30
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0
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Recent Articles
1.
Liang S, Tang T, Wang T, Deng Z, Zhu G, Wang D
ACS Omega
. 2025 Jan;
9(52):51363-51378.
PMID: 39758626
The pore structure of shale is a key factor affecting the occurrence and flow of shale gas, and fractal dimensions can be used to quantitatively describe the complexity of the...
2.
Pu X, Geng C, Xiao W, Gu S, Wang D, Liu C, et al.
Eur Spine J
. 2024 Oct;
34(1):17-26.
PMID: 39476030
Purpose: The study aims to investigate the correlations between the T score, Hounsfield units (HU) value, and vertebral bone quality (VBQ) score, and to compare their discrimination capability for patients...
3.
Pu X, Liu B, Wang D, Xiao W, Liu C, Gu S, et al.
Osteoporos Int
. 2024 Jun;
35(9):1625-1631.
PMID: 38942897
Introduction: The purpose of this study is to determine whether the opportunistic use of computed tomography (CT) or magnetic resonance imaging (MRI) is effective for identifying spine surgical patients with...
4.
Pu X, Wang D, Xiao W, Liu B
Eur Spine J
. 2023 Jun;
32(9):3315-3316.
PMID: 37347279
No abstract available.
5.
Advances in Hounsfield units value for predicting cage subsidence on spinal interbody fusion surgery
Pu X, Wang D, Gu S
Eur Spine J
. 2023 Jun;
32(9):3149-3157.
PMID: 37306798
Purpose: A growing number of studies have demonstrated that Hounsfield units (HU) value can effectively assess bone quality and predict cage subsidence (CS) after spinal surgery. The purpose of this...
6.
Gu S, Li H, Wang D, Dai X, Liu C
Ann Transl Med
. 2022 Apr;
10(6):272.
PMID: 35433926
Background: This study sought to investigate the clinical efficacy and safety of minimally invasive transforaminal lumbar interbody fusion (MIS-TLIF) in the treatment of lumbar degenerative diseases. Methods: The clinical data...
7.
Yu Z, Wang D, Meng X, Chen C
IEEE Trans Cybern
. 2020 Dec;
52(7):6518-6530.
PMID: 33284761
As an effective method for clustering applications, the clustering ensemble algorithm integrates different clustering solutions into a final one, thus improving the clustering efficiency. The key to designing the clustering...
8.
Jiang W, Zhao B, Li Y, Qi D, Wang D
BMC Cancer
. 2020 Nov;
20(1):1129.
PMID: 33225924
Background: The 8th edition of the American Joint Committee on Cancer (AJCC) staging system for gallbladder carcinoma (GBC) came into force since 2018. However, the prognostic precision of this staging...
9.
Li S, Wang D, Zhang M
Sci Rep
. 2019 Sep;
9(1):13056.
PMID: 31506544
Elastic constants derived from seismic-scale measurements are often used to infer subsurface petrophysical properties based on rock-physics relationships established from either theoretic model or core-scale measurements. However, the spatial heterogeneity...
10.
Yu Z, Wang D, Zhao Z, Chen C, You J, Wong H, et al.
IEEE Trans Cybern
. 2018 Jul;
49(2):403-416.
PMID: 29990215
Traditional ensemble learning approaches explore the feature space and the sample space, respectively, which will prevent them to construct more powerful learning models for noisy real-world dataset classification. The random...