Search Results - "Yan, Zhuangzhi"

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  1. 1

    A Combined Deep-Learning and Lattice Boltzmann Model for Segmentation of the Hippocampus in MRI by Liu, Yingqian, Yan, Zhuangzhi

    Published in Sensors (Basel, Switzerland) (28-06-2020)
    “…Segmentation of the hippocampus (HC) in magnetic resonance imaging (MRI) is an essential step for diagnosis and monitoring of several clinical situations such…”
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    Journal Article
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  3. 3

    Predicting Alzheimer Disease From Mild Cognitive Impairment With a Deep Belief Network Based on 18F-FDG-PET Images by Shen, Ting, Jiang, Jiehui, Lu, Jiaying, Wang, Min, Zuo, Chuantao, Yu, Zhihua, Yan, Zhuangzhi

    Published in Molecular imaging (2019)
    “…Objective: Accurate diagnosis of early Alzheimer disease (AD) plays a critical role in preventing the progression of memory impairment. We aimed to develop a…”
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    Journal Article
  4. 4

    BMNet: A New Region-Based Metric Learning Method for Early Alzheimer's Disease Identification With FDG-PET Images by Cui, Wenju, Yan, Caiying, Yan, Zhuangzhi, Peng, Yunsong, Leng, Yilin, Liu, Chenlu, Chen, Shuangqing, Jiang, Xi, Zheng, Jian, Yang, Xiaodong

    Published in Frontiers in neuroscience (24-02-2022)
    “…18F-fluorodeoxyglucose (FDG)-positron emission tomography (PET) reveals altered brain metabolism in individuals with mild cognitive impairment (MCI) and…”
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    Journal Article
  5. 5

    Classification of microcalcification clusters in digital breast tomosynthesis using ensemble convolutional neural network by Xiao, Bingbing, Sun, Haotian, Meng, You, Peng, Yunsong, Yang, Xiaodong, Chen, Shuangqing, Yan, Zhuangzhi, Zheng, Jian

    Published in Biomedical engineering online (28-07-2021)
    “…The classification of benign and malignant microcalcification clusters (MCs) is an important task for computer-aided diagnosis (CAD) of digital breast…”
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    Journal Article
  6. 6

    TongueCaps: An Improved Capsule Network Model for Multi-Classification of Tongue Color by Ni, Jinghong, Yan, Zhuangzhi, Jiang, Jiehui

    Published in Diagnostics (Basel) (08-03-2022)
    “…Tongue color is an important part of tongue diagnosis. The change of tongue color is affected by pathological state of body, blood rheology, and other factors…”
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    Journal Article
  7. 7

    Use of Overlapping Group LASSO Sparse Deep Belief Network to Discriminate Parkinson's Disease and Normal Control by Shen, Ting, Jiang, Jiehui, Lin, Wei, Ge, Jingjie, Wu, Ping, Zhou, Yongjin, Zuo, Chuantao, Wang, Jian, Yan, Zhuangzhi, Shi, Kuangyu

    Published in Frontiers in neuroscience (29-04-2019)
    “…As a medical imaging technology which can show the metabolism of the brain, 18F-fluorodeoxyglucose (FDG)-positron emission tomography (PET) is of great value…”
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    Journal Article
  8. 8

    Janus nanocarriers for magnetically targeted and hyperthermia-enhanced curcumin therapy of liver cancer by Xing, Hao, Wang, Zheng, Shao, Dan, Chang, Zhimin, Ge, Mingfeng, Li, Li, Wu, Mingdi, Yan, Zhuangzhi, Dong, Wenfei

    Published in RSC advances (01-01-2018)
    “…Curcumin is regarded as a promising chemotherapeutic agent due to its anti-cancer activity and excellent biosafety. Nevertheless, the poor bioavailability and…”
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    Journal Article
  9. 9

    A Novel Metabolic Connectome Method to Predict Progression to Mild Cognitive Impairment by Zuo, Chuantao, Xiao, Shu-yun, Yan, Zhuangzhi, Wang, Min, Jiang, Jiehui

    Published in Behavioural neurology (18-08-2020)
    “…Objective. Glucose-based positron emission tomography (PET) imaging has been widely used to predict the progression of mild cognitive impairment (MCI) into…”
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    Journal Article
  10. 10

    Development of a Machine Learning Model to Discriminate Mild Cognitive Impairment Subjects from Normal Controls in Community Screening by Jiang, Juanjuan, Zhang, Jieming, Li, Chenyang, Yu, Zhihua, Yan, Zhuangzhi, Jiang, Jiehui

    Published in Brain sciences (28-08-2022)
    “…Background: Mild cognitive impairment (MCI) is a transitional stage between normal aging and probable Alzheimer’s disease. It is of great value to screen for…”
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    Journal Article
  11. 11

    Radiomics-Guided Deep Learning Networks Classify Differential Diagnosis of Parkinsonism by Ling, Ronghua, Wang, Min, Lu, Jiaying, Wu, Shaoyou, Wu, Ping, Ge, Jingjie, Wang, Luyao, Liu, Yingqian, Jiang, Juanjuan, Shi, Kuangyu, Yan, Zhuangzhi, Zuo, Chuantao, Jiang, Jiehui

    Published in Brain sciences (04-07-2024)
    “…The differential diagnosis between atypical Parkinsonian syndromes may be challenging and critical. We aimed to proposed a radiomics-guided deep learning (DL)…”
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    Journal Article
  12. 12

    A novel individual-level morphological brain networks constructing method and its evaluation in PET and MR images by Jiang, Jiehui, Zhou, Hucheng, Duan, Huoqiang, Liu, Xin, Zuo, Chuantao, Huang, Zhemin, Yu, Zhihua, Yan, Zhuangzhi

    Published in Heliyon (01-12-2017)
    “…Mapping the human brain is one of the great scientific challenges of the 21st century. Brain network analysis is an effective technique based on graph theory…”
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    Journal Article
  13. 13

    Performance Evaluation of a Priori Information on Reconstruction of Fluorescence Molecular Tomography by Liu, Xin, Yan, Zhuangzhi, Lu, Hongbing

    Published in IEEE access (2015)
    “…Fluorescence molecular tomography (FMT) plays an important role in in vivo small animal imaging. However, due to the diffusive nature of photon propagation in…”
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    Journal Article
  14. 14

    Gabor-based anisotropic diffusion with lattice Boltzmann method for medical ultrasound despeckling by Xu, Hao Hao, Gong, Yu Chen, Xia, Xin Yi, Li, Dong, Yan, Zhuang Zhi, Shi, Jun, Zhang, Qi

    “…Medical ultrasound images are corrupted by speckle noise, and despeckling methods are required to effectively and efficiently reduce speckle noise while…”
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    Journal Article
  15. 15

    Novel lattice Boltzmann method based on integrated edge and region information for medical image segmentation by Wen, Junling, Yan, Zhuangzhi, Jiang, Jiehui

    “…The lattice Boltzmann (LB) method is a mesoscopic method based on kinetic theory and statistical mechanics. The main advantage of the LB method is parallel…”
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    Journal Article
  16. 16

    Improved Imaging Performance in Super-Resolution Localization Microscopy by YALL1 Method by Zhao, Lili, Han, Changpeng, Shu, Yuexia, Lv, Minglei, Liu, Ying, Zhou, Tianyang, Yan, Zhuangzhi, Liu, Xin

    Published in IEEE access (01-01-2018)
    “…In super-resolution localization microscopy, e.g., stochastic optical reconstruction microscopy or photoactivated localization microscopy, a long acquisition…”
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    Journal Article
  17. 17

    A Mobile Monitoring System of Blood Pressure for Underserved in China by Information and Communication Technology Service by Jiehui Jiang, Zhuangzhi Yan, Jun Shi, Kandachar, Prabhu, Freudenthal, Adinda

    “…High blood pressure (BP, hypertension) is a leading chronic condition in China and has become the main risk factor for many high-risk diseases, such as heart…”
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    Journal Article
  18. 18

    Decision Supporting Model for One-year Conversion Probability from MCI to AD using CNN and SVM by Shen, Ting, Jiang, Jiehui, Li, Yupeng, Wu, Ping, Zuo, Chuantao, Yan, Zhuangzhi

    “…Prediction of Alzheimer's disease (AD) from Mild Cognitive Impairment (MCI) has become popular in recent years. Especially, deep learning technique has been…”
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    Conference Proceeding Journal Article
  19. 19

    Improved detection performance in blood cell count by an attention-guided deep learning method by Jiang, Zhengfen, Liu, Xin, Yan, Zhuangzhi, Gu, Wenting, Jiang, Jiehui

    Published in OSA continuum (15-02-2021)
    “…Blood cell count plays an important role in the field of clinical medical diagnosis. To effectively automate the counting of blood cells, recently, the…”
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    Journal Article
  20. 20

    A novel Blood Pressure estimation method combing Pulse Wave Transit Time model and neural network model by Jun Xu, Jiehui Jiang, Hucheng Zhou, Zhuangzhi Yan

    “…Blood Pressure (BP) measurement can assist doctors to assess patients' cardiovascular status and diagnose heart diseases. Pulse Wave Transit Time (PWTT) model…”
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    Conference Proceeding Journal Article