J
Jing-Hui Dong
Researcher at Chinese PLA General Hospital
Publications - 5
Citations - 6891
Jing-Hui Dong is an academic researcher from Chinese PLA General Hospital. The author has contributed to research in topics: Disease & Medicine. The author has an hindex of 2, co-authored 3 publications receiving 5244 citations.
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Pathological findings of COVID-19 associated with acute respiratory distress syndrome.
Zhe Xu,Lei Shi,Yijin Wang,Ji-Yuan Zhang,Lei Huang,Chao Zhang,Shuhong Liu,Peng Zhao,Hongxia Liu,Li Zhu,Yanhong Tai,Changqing Bai,Tingting Gao,Jin-Wen Song,Peng Xia,Jing-Hui Dong,Jingmin Zhao,Fu-Sheng Wang +17 more
TL;DR: O surto do novo coronavÃrus (COVID-19) em Wuhan, China, iniciado em dezembro de 2019, evoluiu para se tornar uma pandemia global A.
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Persistent Viral Presence Determines the Clinical Course of the Disease in COVID-19.
De Chang,Peng Zhao,Dawei Zhang,Jing-Hui Dong,Zhe Xu,Guang Yang,Bo-Yu Li,Hongxia Liu,Bo-An Li,Cheng-Feng Qin,Xiaohua Peng,Fu-Sheng Wang,Lixin Xie,Zhu Chen,Charles S. Dela Cruz,Lokesh Sharma,Enqiang Qin +16 more
TL;DR: Patients with persistent viral presence have more severe disease outcomes including extensive lung involvement and requirement of respiratory support and the data suggest that viral persistence is the key determining factor of the disease severity.
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Outbreak of Mycoplasma pneumoniae at a military academy.
Xin Zhang,Min-Na Han,Jing-Hui Dong,Xiao-Xi Li,Xian-Yun Hu,Zhi Wang,Enqiang Qin,Jing Li,Jun-Yuan Tan,Fu-Sheng Wang,Lei Huang +10 more
TL;DR: In 2019, an outbreak of Mycoplasma pneumoniae occurred at a military academy in China and in-time prevention and control measures effectively controlled the spread of the epidemic.
Journal ArticleDOI
Computed tomography–based COVID–19 triage through a deep neural network using mask–weighted global average pooling
Hong-Tao Zhang,Zeyu Sun,Juan Zhou,Shen Gao,Jing-Hui Dong,Yuan Liu,Xu Bai,Jing Ma,Ming Li,Guang Li,Jian-Ming Cai,Fugeng Sheng +11 more
TL;DR: Wang et al. as discussed by the authors proposed a mask-weighted global average pooling (GAP) based deep learning method and obtained promising results for COVID-19 triage based on chest CT images.
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Predicting Breast Cancer Subtypes Using Magnetic Resonance Imaging Based Radiomics With Automatic Segmentation.
Wenyi Yue,Hong-Tao Zhang,Shen Gao,Zeyu Sun,Jian-Ming Cai,Ning Tian,Juan Zhou,Jing-Hui Dong,Yuan Liu,Xu Bai,Fugeng Sheng +10 more
TL;DR: In this article , an automatic segmentation-3-dimensional UNet-based Convolutional Neural Networks, trained on our in-house data set-was applied to segment the regions of interest.