L
Liang Li
Researcher at Wuhan University
Publications - 24
Citations - 1905
Liang Li is an academic researcher from Wuhan University. The author has contributed to research in topics: EPSP synthase & Gene. The author has an hindex of 10, co-authored 24 publications receiving 1062 citations.
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Journal ArticleDOI
Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography.
Kang Zhang,Xiaohong Liu,Jun Shen,Zhihuan Li,Ye Sang,Xingwang Wu,Yunfei Zha,Wenhua Liang,Chengdi Wang,Ke Wang,Linsen Ye,Ming Gao,Zhongguo Zhou,Liang Li,Jin Wang,Zehong Yang,Huimin Cai,Jie Xu,Lei Yang,Wenjia Cai,Wenqin Xu,Shaoxu Wu,Wei Zhang,Shanping Jiang,Lianghong Zheng,Xuan Zhang,Li Wang,Liu Lu,Jiaming Li,Haiping Yin,Winston Wang,Oulan Li,Charlotte Zhang,Liang Liang,Tao Wu,Ruiyun Deng,Kang Wei,Yong Zhou,Ting Chen,Johnson Y.N. Lau,Manson Fok,Jianxing He,Tianxin Lin,Weimin Li,Guangyu Wang +44 more
TL;DR: Using a large computed Tomography database from 4,154 patients, an AI system is developed that can diagnose NCP and differentiate it from other common pneumonia and normal controls and is made available globally to assist the clinicians to combat COVID-19.
Journal ArticleDOI
Deep learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) with CT images.
Ying Song,Shuangjia Zheng,Liang Li,Xiang Zhang,Xiaodong Zhang,Ziwang Huang,Jianwen Chen,Ruixuan Wang,Huiying Zhao,Yunfei Zha,Jun Shen,Yutian Chong,Yuedong Yang +12 more
TL;DR: Wang et al. as mentioned in this paper developed a deep learning-based CT diagnosis system to identify patients with COVID-19, which achieved an AUC of 0.99, recall (sensitivity) of 0.,93, and precision of 0,96.
Posted ContentDOI
Deep learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) with CT images
Song Ying,Shuangjia Zheng,Liang Li,Xiang Zhang,Xiaodong Zhang,Ziwang Huang,Jianwen Chen,Huiying Zhao,Ruixuan Wang,Yutian Chong,Jun Shen,Yunfei Zha,Yuedong Yang +12 more
TL;DR: A deep learning-based CT diagnosis system (DeepPneumonia) was developed and showed that the established models can achieve a rapid and accurate identification of COVID-19 in human samples, thereby allowing identification of patients.
Journal ArticleDOI
Global transcriptional analysis of nitrogen fixation and ammonium repression in root-associated Pseudomonas stutzeri A1501
Yongliang Yan,Shuzhen Ping,Junping Peng,Yunlei Han,Liang Li,Jian Yang,Yuetan Dou,Yan Li,Huili Fan,Ying Fan,Danhua Li,Yuhua Zhan,Ming Chen,Wei Lu,Wei Zhang,Qi Cheng,Qi Jin,Min Lin +17 more
TL;DR: It is concluded that transcriptional regulation of nif gene expression in A1501 is mediated by the nif- specific and ntr gene regulatory systems, and many genes of unknown function may play some essential roles in controlling the expression or activity of nitrogenase.
Journal ArticleDOI
Genome-wide transcriptional responses of Escherichia coli to glyphosate, a potent inhibitor of the shikimate pathway enzyme 5-enolpyruvylshikimate-3-phosphate synthase
Wei Lu,Liang Li,Ming Chen,Zhengfu Zhou,Wei Zhang,Shuzhen Ping,Yongliang Yan,Jin Wang,Min Lin +8 more
TL;DR: The results suggest that the presence of glyphosate during growth induces metabolic starvation, an energy drain and other non-target effects.