M
Meiyun Wang
Researcher at Zhengzhou University
Publications - 201
Citations - 9701
Meiyun Wang is an academic researcher from Zhengzhou University. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 32, co-authored 148 publications receiving 6404 citations. Previous affiliations of Meiyun Wang include Johns Hopkins University & Xinxiang Medical University.
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Journal ArticleDOI
Presumed Asymptomatic Carrier Transmission of COVID-19.
TL;DR: This study describes possible transmission of novel coronavirus disease 2019 (COVID-19) from an asymptomatic Wuhan resident to 5 family members in Anyang, a Chinese city in the neighboring province of Hubei.
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The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges.
Zhenyu Liu,Shuo Wang,Di Dong,Jingwei Wei,Cheng Fang,Xuezhi Zhou,Kai Sun,Longfei Li,Bo Li,Meiyun Wang,Jie Tian,Jie Tian +11 more
TL;DR: The recent methodological developments in radiomics are reviewed, including data acquisition, tumor segmentation, feature extraction, and modelling, as well as the rapidly developing deep learning technology.
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A "vascular normalization index" as potential mechanistic biomarker to predict survival after a single dose of cediranib in recurrent glioblastoma patients.
A. Gregory Sorensen,Tracy T. Batchelor,Wei-Ting Zhang,Poe-Jou Chen,Priscilla Yeo,Meiyun Wang,Dominique Jennings,Patrick Y. Wen,Johanna Lahdenranta,Marek Ancukiewicz,Emmanuelle di Tomaso,Dan G. Duda,Rakesh K. Jain +12 more
TL;DR: It is shown that evaluation of biomarkers as early as after one day of anti-VEGF therapy with cediranib is predictive of response in patients with recurrent glioblastoma, and the vascular normalization index described here should be validated in randomized clinical trials.
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A fully automatic deep learning system for COVID-19 diagnostic and prognostic analysis.
Shuo Wang,Yunfei Zha,Weimin Li,Qingxia Wu,Xiaohu Li,Meng Niu,Meiyun Wang,Xiaoming Qiu,Hongjun Li,He Yu,Wei Gong,Yan Bai,Li Li,Yongbei Zhu,Liusu Wang,Jie Tian +15 more
TL;DR: A fully automatic deep learning system is proposed for COVID-19 diagnostic and prognostic analysis by routinely used computed tomography that automatically focused on abnormal areas that showed consistent characteristics with reported radiological findings.
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Increased Survival of Glioblastoma Patients Who Respond to Antiangiogenic Therapy with Elevated Blood Perfusion
A. Gregory Sorensen,Kyrre E. Emblem,Pavlina Polaskova,Dominique Jennings,Heisoog Kim,Marek Ancukiewicz,Meiyun Wang,Patrick Y. Wen,Percy Ivy,Tracy T. Batchelor,Rakesh K. Jain +10 more
TL;DR: MRI is used to assess tumor blood perfusion in 30 recurrent glioblastoma patients who were undergoing treatment with cediranib, a pan-VEGF receptor tyrosine kinase inhibitor to offer direct clinical evidence in support of the hypothesis that vascular normalization can increase tumor perfusion and help improve patient survival.