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Yongbei Zhu
Researcher at Chinese Academy of Sciences
Publications - 22
Citations - 1400
Yongbei Zhu is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 9, co-authored 16 publications receiving 611 citations. Previous affiliations of Yongbei Zhu include Beihang University.
Papers
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Journal ArticleDOI
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.
Journal ArticleDOI
Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning
Shuo Wang,Jingyun Shi,Zhaoxiang Ye,Di Dong,Dongdong Yu,Mu Zhou,Ying Liu,Olivier Gevaert,Kun Wang,Yongbei Zhu,Hongyu Zhou,Zhenyu Liu,Jie Tian,Jie Tian +13 more
TL;DR: Since CT is routinely used in lung cancer diagnosis, the deep learning model provides a non-invasive and easy-to-use method for EGFR mutation status prediction and shows significant improvement over using hand-crafted CT features or clinical characteristics.
Posted ContentDOI
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,Jie Tian +16 more
TL;DR: Deep learning provides a convenient tool for fast screening COVID-19 and finding potential high-risk patients, which may be helpful for medical resource optimization and early prevention before patients show severe symptoms.
Journal ArticleDOI
Can CT-based radiomics signature predict KRAS/NRAS/BRAF mutations in colorectal cancer?
Lei Yang,Di Dong,Mengjie Fang,Yongbei Zhu,Yali Zang,Zhenyu Liu,Hongmei Zhang,Jianming Ying,Xinming Zhao,Jie Tian +9 more
TL;DR: In this paper, the authors investigated whether CT-based radiomics signature can predict KRAS/NRAS/BRAF mutations in colorectal cancer (CRC).
Journal ArticleDOI
Radiomic nomogram for prediction of axillary lymph node metastasis in breast cancer.
Lu Han,Yongbei Zhu,Zhenyu Liu,Tao Yu,Cuiju He,Wenyan Jiang,Yangyang Kan,Di Dong,Jie Tian,Jie Tian,Yahong Luo +10 more
TL;DR: A nomogram and a radiomic signature that can be used to identify LN metastasis and distinguish the number of metastatic LNs are developed and showed excellent predictive ability.