Search Results - "Meiyun Wang"
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Presumed Asymptomatic Carrier Transmission of COVID-19
Published in JAMA : the journal of the American Medical Association (14-04-2020)“…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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A fully automatic deep learning system for COVID-19 diagnostic and prognostic analysis
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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The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges
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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Predicting the grade of hepatocellular carcinoma based on non-contrast-enhanced MRI radiomics signature
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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Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer
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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Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach
Published in Nature medicine (01-02-2021)“…Breast cancer remains a global challenge, causing over 600,000 deaths in 2018 (ref. 1 ). To achieve earlier cancer detection, health organizations worldwide…”
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Predicting distant metastasis and chemotherapy benefit in locally advanced rectal cancer
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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Annotation-efficient deep learning for automatic medical image segmentation
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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Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics
Published in IEEE journal of biomedical and health informatics (01-12-2020)“…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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Grading of Gliomas by Using Monoexponential, Biexponential, and Stretched Exponential Diffusion-weighted MR Imaging and Diffusion Kurtosis MR Imaging
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
COVID-19 Vaccine Hesitancy Among Chinese Population: A Large-Scale National Study
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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Chest computed tomography findings of coronavirus disease 2019 (COVID-19) pneumonia
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
The association between maternal use of folic acid supplements during pregnancy and risk of autism spectrum disorders in children: a meta-analysis
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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Radiomics Analysis of Multiparametric MRI Evaluates the Pathological Features of Cervical Squamous Cell Carcinoma
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
Automated glioma detection and segmentation using graphical models
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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Radiomics Analysis of Computed Tomography helps predict poor prognostic outcome in COVID-19
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
Susceptibility‐weighted imaging: current status and future directions
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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A comparative study of the value of amide proton transfer-weighted imaging and diffusion kurtosis imaging in the diagnosis and evaluation of breast cancer
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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Value of MRI in medicine: More than just another test?
Published in Journal of magnetic resonance imaging (01-06-2019)“…There is increasing scrutiny from healthcare organizations towards the utility and associated costs of imaging. MRI has traditionally been used as a high‐end…”
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Automatic glioma segmentation based on adaptive superpixel
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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