Search Results - "MEIYUN WANG"

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  1. 1

    Presumed Asymptomatic Carrier Transmission of COVID-19 by Bai, Yan, Yao, Lingsheng, Wei, Tao, Tian, Fei, Jin, Dong-Yan, Chen, Lijuan, Wang, Meiyun

    “…This study describes possible transmission of novel coronavirus disease 2019 (COVID-19) from an asymptomatic Wuhan resident to 5 family members in Anyang, a…”
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  2. 2

    A fully automatic deep learning system for COVID-19 diagnostic and prognostic analysis by Wang, Shuo, Zha, Yunfei, Li, Weimin, Wu, Qingxia, Li, Xiaohu, Niu, Meng, Wang, Meiyun, Qiu, Xiaoming, Li, Hongjun, Yu, He, Gong, Wei, Bai, Yan, Li, Li, Zhu, Yongbei, Wang, Liusu, Tian, Jie

    Published in The European respiratory journal (01-08-2020)
    “…Coronavirus disease 2019 (COVID-19) has spread globally, and medical resources become insufficient in many regions. Fast diagnosis of COVID-19 and finding…”
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  3. 3

    The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges by Liu, Zhenyu, Wang, Shuo, Dong, Di, Wei, Jingwei, Fang, Cheng, Zhou, Xuezhi, Sun, Kai, Li, Longfei, Li, Bo, Wang, Meiyun, Tian, Jie

    Published in Theranostics (01-01-2019)
    “…Medical imaging can assess the tumor and its environment in their entirety, which makes it suitable for monitoring the temporal and spatial characteristics of…”
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  4. 4

    Predicting the grade of hepatocellular carcinoma based on non-contrast-enhanced MRI radiomics signature by Wu, Minghui, Tan, Hongna, Gao, Fei, Hai, Jinjin, Ning, Peigang, Chen, Jian, Zhu, Shaocheng, Wang, Meiyun, Dou, Shewei, Shi, Dapeng

    Published in European radiology (01-06-2019)
    “…Purpose This study was conducted in order to investigate the value of magnetic resonance imaging (MRI)-based radiomics signatures for the preoperative…”
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  5. 5

    Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer by Wang, Shuo, Liu, Zhenyu, Rong, Yu, Zhou, Bin, Bai, Yan, Wei, Wei, Wei, Wei, Wang, Meiyun, Guo, Yingkun, Tian, Jie

    Published in Radiotherapy and oncology (01-03-2019)
    “…•A novel deep learning network mining prognostic features of HGSOC from CT image.•Predicting recurrence of HGSOC before operation by CT image.•Individualized…”
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    Predicting distant metastasis and chemotherapy benefit in locally advanced rectal cancer by Liu, Zhenyu, Meng, Xiaochun, Zhang, Hongmei, Li, Zhenhui, Liu, Jiangang, Sun, Kai, Meng, Yankai, Dai, Weixing, Xie, Peiyi, Ding, Yingying, Wang, Meiyun, Cai, Guoxiang, Tian, Jie

    Published in Nature communications (27-08-2020)
    “…Distant metastasis (DM) is the main cause of treatment failure in locally advanced rectal cancer. Adjuvant chemotherapy is usually used for distant control…”
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  8. 8

    Annotation-efficient deep learning for automatic medical image segmentation by Wang, Shanshan, Li, Cheng, Wang, Rongpin, Liu, Zaiyi, Wang, Meiyun, Tan, Hongna, Wu, Yaping, Liu, Xinfeng, Sun, Hui, Yang, Rui, Liu, Xin, Chen, Jie, Zhou, Huihui, Ben Ayed, Ismail, Zheng, Hairong

    Published in Nature communications (08-10-2021)
    “…Automatic medical image segmentation plays a critical role in scientific research and medical care. Existing high-performance deep learning methods typically…”
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  9. 9

    Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics by Li, Cong, Dong, Di, Li, Liang, Gong, Wei, Li, Xiaohu, Bai, Yan, Wang, Meiyun, Hu, Zhenhua, Zha, Yunfei, Tian, Jie

    “…Objective: The coronavirus disease 2019 (COVID-19) is rapidly spreading inside China and internationally. We aimed to construct a model integrating information…”
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  10. 10

    Grading of Gliomas by Using Monoexponential, Biexponential, and Stretched Exponential Diffusion-weighted MR Imaging and Diffusion Kurtosis MR Imaging by Bai, Yan, Lin, Yusong, Tian, Jie, Shi, Dapeng, Cheng, Jingliang, Haacke, E Mark, Hong, Xiaohua, Ma, Bo, Zhou, Jinyuan, Wang, Meiyun

    Published in Radiology (01-02-2016)
    “…To quantitatively compare the potential of various diffusion parameters obtained from monoexponential, biexponential, and stretched exponential…”
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  11. 11

    COVID-19 Vaccine Hesitancy Among Chinese Population: A Large-Scale National Study by Wu, Jian, Li, Quanman, Silver Tarimo, Clifford, Wang, Meiyun, Gu, Jianqin, Wei, Wei, Ma, Mingze, Zhao, Lipei, Mu, Zihan, Miao, Yudong

    Published in Frontiers in immunology (29-11-2021)
    “…Globally, vaccine hesitancy is a growing public health problem. It is detrimental to the consolidation of immunization program achievements and elimination of…”
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  12. 12

    Chest computed tomography findings of coronavirus disease 2019 (COVID-19) pneumonia by Fu, Fangfang, Lou, Jianghua, Xi, Deyan, Bai, Yan, Ma, Gongbao, Zhao, Bin, Liu, Dong, Bao, Guofeng, Lei, Zhidan, Wang, Meiyun

    Published in European radiology (01-10-2020)
    “…Objective To retrospectively analyze the chest computed tomography (CT) features in patients with coronavirus disease 2019 (COVID-19) pneumonia. Methods From…”
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  13. 13

    The association between maternal use of folic acid supplements during pregnancy and risk of autism spectrum disorders in children: a meta-analysis by Wang, Meiyun, Li, Kaiqin, Zhao, Dongmei, Li, Ling

    Published in Molecular autism (02-10-2017)
    “…Previous reviews have been conducted to evaluate the association between maternal use of folic acid supplements during pregnancy and risk of autism spectrum…”
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  14. 14

    Radiomics Analysis of Multiparametric MRI Evaluates the Pathological Features of Cervical Squamous Cell Carcinoma by Wu, Qingxia, Shi, Dapeng, Dou, Shewei, Shi, Ligang, Liu, Mingbo, Dong, Li, Chang, Xiaowan, Wang, Meiyun

    Published in Journal of magnetic resonance imaging (01-04-2019)
    “…Background Robust parameters to evaluate pathological aggressiveness are needed to provide individualized therapy for cervical cancer patients. Purpose To…”
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  15. 15

    Automated glioma detection and segmentation using graphical models by Zhao, Zhe, Yang, Guan, Lin, Yusong, Pang, Haibo, Wang, Meiyun

    Published in PloS one (21-08-2018)
    “…Glioma detection and segmentation is a challenging task for radiologists and clinicians. The research reported in this paper seeks to develop a better clinical…”
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  16. 16

    Radiomics Analysis of Computed Tomography helps predict poor prognostic outcome in COVID-19 by Wu, Qingxia, Wang, Shuo, Li, Liang, Wu, Qingxia, Qian, Wei, Hu, Yahua, Li, Li, Zhou, Xuezhi, Ma, He, Li, Hongjun, Wang, Meiyun, Qiu, Xiaoming, Zha, Yunfei, Tian, Jie

    Published in Theranostics (01-01-2020)
    “…Given the rapid spread of COVID-19, an updated risk-stratify prognostic tool could help clinicians identify the high-risk patients with worse prognoses. We…”
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  17. 17

    Susceptibility‐weighted imaging: current status and future directions by Liu, Saifeng, Buch, Sagar, Chen, Yongsheng, Choi, Hyun‐Seok, Dai, Yongming, Habib, Charbel, Hu, Jiani, Jung, Joon‐Yong, Luo, Yu, Utriainen, David, Wang, Meiyun, Wu, Dongmei, Xia, Shuang, Haacke, E. Mark

    Published in NMR in biomedicine (01-04-2017)
    “…Susceptibility‐weighted imaging (SWI) is a method that uses the intrinsic nature of local magnetic fields to enhance image contrast in order to improve the…”
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  18. 18

    A comparative study of the value of amide proton transfer-weighted imaging and diffusion kurtosis imaging in the diagnosis and evaluation of breast cancer by Meng, Nan, Wang, Xuejia, Sun, Jing, Han, Dongming, Bai, Yan, Wei, Wei, Wang, Zhe, Jia, Fei, Wang, Kaiyu, Wang, Meiyun

    Published in European radiology (01-03-2021)
    “…Objectives To compare the value of amide proton transfer-weighted imaging (APTWI) and diffusion kurtosis imaging (DKI) in differentiating benign and malignant…”
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    Automatic glioma segmentation based on adaptive superpixel by Wu, Yaping, Zhao, Zhe, Wu, Weiguo, Lin, Yusong, Wang, Meiyun

    Published in BMC medical imaging (23-08-2019)
    “…The automatic glioma segmentation is of great significance for clinical practice. This study aims to propose an automatic method based on superpixel for glioma…”
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