Search Results - "Wu, Zhanxiong"

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  1. 1

    Gray Matter Deterioration Pattern During Alzheimer's Disease Progression: A Regions-of-Interest Based Surface Morphometry Study by Wu, Zhanxiong, Peng, Yun, Hong, Ming, Zhang, Yingchun

    Published in Frontiers in aging neuroscience (03-02-2021)
    “…Accurate detection of the regions of Alzheimer's disease (AD) lesions is critical for early intervention to effectively slow down the progression of the…”
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    Journal Article
  2. 2

    Inflammation and Oxidative Stress: Potential Targets for Improving Prognosis After Subarachnoid Hemorrhage by Wu, Fan, Liu, Zongchi, Li, Ganglei, Zhou, Lihui, Huang, Kaiyuan, Wu, Zhanxiong, Zhan, Renya, Shen, Jian

    Published in Frontiers in cellular neuroscience (24-09-2021)
    “…Subarachnoid hemorrhage (SAH) has a high mortality rate and causes long-term disability in many patients, often associated with cognitive impairment. However,…”
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    Journal Article
  3. 3

    A Linear-Power-Regulated Wireless Power Transfer Method for Decreasing the Heat Dissipation of Fully Implantable Microsystems by Wang, Haochuan, Zhu, Chenglong, Jin, Wenkai, Tang, Junjie, Wu, Zhanxiong, Chen, Keming, Hong, Hui

    Published in Sensors (Basel, Switzerland) (01-11-2022)
    “…Magnetic coupling resonance wireless power transfer can efficiently provide energy to intracranial implants under safety constraints, and is the main way to…”
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    Journal Article
  4. 4

    Effects of Brain Parcellation on the Characterization of Topological Deterioration in Alzheimer's Disease by Wu, Zhanxiong, Xu, Dong, Potter, Thomas, Zhang, Yingchun

    Published in Frontiers in aging neuroscience (21-05-2019)
    “…Alzheimer's disease (AD) causes the progressive deterioration of neural connections, disrupting structural connectivity (SC) networks within the brain…”
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    Journal Article
  5. 5

    Dynamic channelwise functional-connectivity states extracted from resting-state EEG signals of patients with Parkinson’s disease by Ding, Hao, Weng, Xinmeng, Xu, Minghuan, Shen, Jian, Wu, Zhanxiong

    “…BackgroundParkinson’s disease (PD) is a progressive neurodegenerative disease that usually happens to elderly people, with a wide range of motor and dementia…”
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    Journal Article
  6. 6

    Interactions Between Aging and Alzheimer's Disease on Structural Brain Networks by Wu, Zhanxiong, Gao, Yunyuan, Potter, Thomas, Benoit, Julia, Shen, Jian, Schulz, Paul E, Zhang, Yingchun

    Published in Frontiers in aging neuroscience (10-06-2021)
    “…Normative aging and Alzheimer's disease (AD) propagation alter anatomical connections among brain parcels. However, the interaction between the trajectories of…”
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    Journal Article
  7. 7

    Identification of Alzheimer’s Disease Progression Stages Using Topological Measures of Resting-State Functional Connectivity Networks: A Comparative Study by Wu, Zhanxiong, Wu, Jinhui, Chen, Xumin, Li, Xun, Shen, Jian, Hong, Hui

    Published in Behavioural neurology (2022)
    “…Resting-state functional magnetic resonance imaging (rs-fMRI) has been widely employed to examine brain functional connectivity (FC) alterations in various…”
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    Journal Article
  8. 8

    HTsort: Enabling Fast and Accurate Spike Sorting on Multi-Electrode Arrays by Chen, Keming, Jiang, Yangtao, Wu, Zhanxiong, Zheng, Nenggan, Wang, Haochuan, Hong, Hui

    Published in Frontiers in computational neuroscience (21-06-2021)
    “…Spike sorting is used to classify the spikes (action potentials acquired by physiological electrodes), aiming to identify their respective firing units. Now it…”
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    Journal Article
  9. 9

    Development of Brain Structural Networks Over Age 8: A Preliminary Study Based on Diffusion Weighted Imaging by Wu, Zhanxiong, Peng, Yun, Selvaraj, Sudhakar, Schulz, Paul E, Zhang, Yingchun

    Published in Frontiers in aging neuroscience (10-03-2020)
    “…Brain structural network changes provide key information about the aging process of the brain. Unfortunately, there has yet to be a detailed characterization…”
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    Journal Article
  10. 10

    Metabolic Signature-Based Subtypes May Pave Novel Ways for Low-Grade Glioma Prognosis and Therapy by Li, Ganglei, Wu, Zhanxiong, Gu, Jun, Zhu, Yu, Zhang, Tiesong, Wang, Feng, Huang, Kaiyuan, Gu, Chenjie, Xu, Kangli, Zhan, Renya, Shen, Jian

    “…Metabolic signatures are frequently observed in cancer and are starting to be recognized as important regulators for tumor progression and therapy. Because…”
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    Journal Article
  11. 11

    Super-resolution of brain MRI images based on denoising diffusion probabilistic model by Wu, Zhanxiong, Chen, Xuanheng, Xie, Sangma, Shen, Jian, Zeng, Yu

    Published in Biomedical signal processing and control (01-08-2023)
    “…Super-resolution of brain magnetic resonance imaging (MRI) generates high resolution brain images as opposed to low-resolution ones, thus providing more…”
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    Journal Article
  12. 12

    3D‐SRDM: 3D super‐resolution of MRI volumes based on diffusion model by Wu, Zhanxiong, Chen, Xuanheng, Yu, Jiangnan

    “…Brain magnetic resonance imaging (MRI) is crucial for diagnosing and understanding neurological disorders, but inherent limitations hinder the visualization of…”
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    Journal Article
  13. 13

    Voxel-Wise Fusion of 3T and 7T Diffusion MRI Data to Extract more Accurate Fiber Orientations by Wu, Zhanxiong, Weng, Xinmeng, Shen, Jian, Hong, Ming

    Published in Brain topography (01-09-2024)
    “…While 7T diffusion magnetic resonance imaging (dMRI) has high spatial resolution, its diffusion imaging quality is usually affected by signal loss due to B1…”
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    Journal Article
  14. 14

    Denoising high angular resolution diffusion imaging data by combining singular value decomposition and non-local means filter by Wu, Zhanxiong, Potter, Thomas, Wu, Dongnan, Zhang, Yingchun

    Published in Journal of neuroscience methods (15-01-2019)
    “…•A novel SVD- NLM denoising approach was developed by combining SVD and NLM filter.•The proposed SVD-NLM method exhibits stronger noise reduction properties in…”
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    Journal Article
  15. 15

    A review of anisotropic conductivity models of brain white matter based on diffusion tensor imaging by Wu, Zhanxiong, Liu, Yang, Hong, Ming, Yu, Xiaohui

    “…The conductivity of brain tissues is not only essential for electromagnetic source estimation (ESI), but also a key reflector of the brain functional changes…”
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    Journal Article
  16. 16

    Portable deep-learning decoder for motor imaginary EEG signals based on a novel compact convolutional neural network incorporating spatial-attention mechanism by Wu, Zhanxiong, Tang, Xudong, Wu, Jinhui, Huang, Jiye, Shen, Jian, Hong, Hui

    “…Due to high computational requirements, deep-learning decoders for motor imaginary (MI) electroencephalography (EEG) signals are usually implemented on bulky…”
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    Journal Article
  17. 17

    Structural networks of healthy infants built from dMRI images smoothed with multi-volume nonlocal estimation by Wu, Zhanxiong, Yu, Jiangnan, Chen, Xuanheng, Shen, Jian, Xie, Sangma, Zeng, Yu

    Published in Multimedia tools and applications (28-12-2023)
    “…In vivo revealing how brain subregions are structurally connected during neonatal period via diffusion magnetic resonance imaging (dMRI) is critical for…”
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    Journal Article
  18. 18

    Construction of brain structural connectivity network using a novel integrated algorithm based on ensemble average propagator by Wu, Zhanxiong, Peng, Yun, Xu, Dong, Hong, Ming, Zhang, Yingchun

    Published in Computers in biology and medicine (01-09-2019)
    “…An important task for neuroscience is to accurately construct structural connectivity network of human brain. Tractography constructed based on high angular…”
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    Journal Article
  19. 19

    Time-optimal trajectory planning based on particle swarm optimization by Yu Zeng, Zhanxiong Wu

    “…This paper presents a novel time-optimal trajectory planning method based on particle swarm optimization. The method can generate smooth trajectories in joint…”
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    Conference Proceeding
  20. 20

    Tacking of white matter fiber bindles based on diffusion QBI by Zhanxiong Wu, Xun Li

    “…Diffusion MRI is based on the measurement of Brownian motion of water molecules. It is possible to use this diffusion property as a probe to study the…”
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    Conference Proceeding