J
Jiufa Cui
Researcher at Qingdao University
Publications - 8
Citations - 2143
Jiufa Cui is an academic researcher from Qingdao University. The author has contributed to research in topics: Medicine & Meningioma. The author has an hindex of 1, co-authored 2 publications receiving 1626 citations.
Papers
More filters
Journal ArticleDOI
CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV).
Michael H. Chung,Adam Bernheim,Xueyan Mei,Ning Zhang,Mingqian Huang,Xianjun Zeng,Jiufa Cui,Wenjian Xu,Yang Yang,Zahi A. Fayad,Adam Jacobi,Kunwei Li,Shaolin Li,Hong Shan +13 more
TL;DR: In this retrospective case series, chest CT scans of 21 symptomatic patients from China infected with the 2019 novel coronavirus were reviewed, with emphasis on identifying and characterizing the most common findings.
Journal ArticleDOI
Correlation between lower lumbar multifidus muscles fatty atrophy and corresponding level degenerative diseases in patients with low back pain using MRI
TL;DR: In this paper, the potential correlation between multifidus muscles (MM) fatty atrophy and MR signs of lumbar spine degeneration in patients with low back pain (LBP) was investigated.
Journal ArticleDOI
Primary bone tumor detection and classification in full-field bone radiographs via YOLO deep learning model
Jie Li,Sudong Li,Xiaoli Li,Sheng Miao,Cheng Dong,Chuan-Ping Gao,Xuejun Liu,Dapeng Hao,Wenjian Xu,Mingqian Huang,Jiufa Cui +10 more
Journal ArticleDOI
Difference of mean Hounsfield units (dHU) between follow-up and initial noncontrast CT scan predicts 90-day poor outcome in spontaneous supratentorial acute intracerebral hemorrhage with deep convolutional neural networks
Xiaona Xia,Xiaoqian Zhang,Jiufa Cui,Qingjun Jiang,Shuai Guan,Kongming Liang,Hao Wang,Chao Wang,Chencui Huang,Hao-Yan Dong,Kai Han,Xiangshui Meng +11 more
TL;DR: In this paper , the authors investigated the usefulness of a new non-contrast CT scan (NCCT) sign called the dHU, which represented the difference in mean Hounsfield unit values between follow-up and the initial NCCT for predicting 90-day poor functional outcomes in acute supratentorial spontaneous intracerebral hemorrhage (sICH) using deep convolutional neural networks.