Zhuqing Jiao
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Explore the profile of Zhuqing Jiao including associated specialties, affiliations and a list of published articles.
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Articles
35
Citations
182
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Recent Articles
1.
Wang J, Wen S, Liu W, Meng X, Jiao Z
BioData Min
. 2024 Nov;
17(1):48.
PMID: 39501294
Alzheimer's disease (AD) is an advanced and incurable neurodegenerative disease. Genetic variations are intrinsic etiological factors contributing to the abnormal expression of brain function and structure in AD patients. A...
2.
Huang N, Xi Z, Jiao Y, Zhang Y, Jiao Z, Li X
Math Biosci Eng
. 2024 Nov;
21(8):6918-6935.
PMID: 39483100
It is important to classify electroencephalography (EEG) signals automatically for the diagnosis and treatment of epilepsy. Currently, the dominant single-modal feature extraction methods cannot cover the information of different modalities,...
3.
Xia Z, Zhou T, Jiao Z, Lu J
IEEE Trans Neural Syst Rehabil Eng
. 2024 Aug;
32:3084-3094.
PMID: 39163174
Brain networks/graphs have been widely recognized as powerful and efficient tools for identifying neurological disorders. In recent years, various graph neural network models have been developed to automatically extract features...
4.
Song L, Li Q, Sai Z, Sun K, Chen W, Zhang H, et al.
Technol Cancer Res Treat
. 2024 Aug;
23:15330338241273149.
PMID: 39155658
Part of the tumor localization methods in radiotherapy have poor real-time performance and may generate additional radiation. We propose a multimodal point cloud-based method for tumor localization in robotic ultrasound-guided...
5.
Li W, Sun W, Wang D, Jiao Z, Liu T, Zhang W, et al.
Acad Radiol
. 2024 Aug;
32(3):1586-1597.
PMID: 39089906
Rationale And Objectives: To assess changes in the central executive network (CEN) of patients with mild cognitive impairment (MCI) associated with end-stage renal disease (ESRD). Methods: A total of 121...
6.
Sun K, Ding J, Li Q, Chen W, Zhang H, Sun J, et al.
Quant Imaging Med Surg
. 2024 Jul;
14(7):4579-4604.
PMID: 39022265
Background: The information between multimodal magnetic resonance imaging (MRI) is complementary. Combining multiple modalities for brain tumor image segmentation can improve segmentation accuracy, which has great significance for disease diagnosis...
7.
Chen W, Li Q, Zhang H, Sun K, Sun W, Jiao Z, et al.
BMC Med Imaging
. 2024 Jul;
24(1):169.
PMID: 38977957
Background: Information complementarity can be achieved by fusing MR and CT images, and fusion images have abundant soft tissue and bone information, facilitating accurate auxiliary diagnosis and tumor target delineation....
8.
Sun W, Li C, Jiao Z, Liu T, Shi H
Brain Behav
. 2024 Jun;
14(6):e3598.
PMID: 38923330
Purpose: To assess changes in neurovascular coupling (NVC) by evaluating the relationship between cerebral perfusion and brain connectivity in patients with end-stage renal disease (ESRD) undergoing hemodialysis versus in healthy...
9.
Lu Y, Liu T, Sheng Q, Zhang Y, Shi H, Jiao Z
Math Biosci Eng
. 2024 Mar;
21(3):3838-3859.
PMID: 38549310
Brain functional networks derived from functional magnetic resonance imaging (fMRI) provide a promising approach to understanding cognitive processes and predicting cognitive abilities. The topological attribute parameters of global networks are...
10.
Song C, Liu T, Shi H, Jiao Z
Comput Methods Programs Biomed
. 2023 Nov;
243:107905.
PMID: 37931582
Background And Objective: The diagnosis of end-stage renal disease associated with mild cognitive impairment (ESRDaMCI) mainly relies on objective cognitive assessment, clinical observation, and neuro-psychological evaluation, while only adopting clinical...