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Jie Cao 0015
Person information
- affiliation: University of Michigan, Department of Computational Medicine and Bioinformatics, Ann Arbor, MI, USA
Other persons with the same name
- Jie Cao — disambiguation page
- Jie Cao 0001 — Hefei University of Technology, School of Management, China (and 2 more)
- Jie Cao 0002 — Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, Center for Excellence in Brain Science and Intelligence Technology, Beijing, China (and 1 more)
- Jie Cao 0003 — Eastern Michigan University, School of Information Security and Applied Computing, Ypsilanti, MI, USA (and 1 more)
- Jie Cao 0004 — Beijing Institute of Technology, School of Optics and Photonics, MOE Key Laboratory of Biomimetic Robots and Systems, China
- Jie Cao 0005 — Northeast Electric Power University, School of Computer Science, Jilin, China (and 1 more)
- Jie Cao 0006 — Harbin Institute of Technology at Shenzhen, School of Electronics and Information Engineering, China
- Jie Cao 0007 — Chinese University of Hong Kong, Business School, Hong Kong (and 1 more)
- Jie Cao 0009 — Xi'an University of Posts and Telecommunications, School of Cyberspace Security, China
- Jie Cao 0010 — University of Oklahoma, School of Computer Science, OK, USA (and 3 more)
- Jie Cao 0011 — Xuzhou University of Technology, School of Management Engineering, Xuzhou, China (and 6 more)
- Jie Cao 0012 — Southwest University of Science and Technology, School of Information Engineering, Mianyang, China
- Jie Cao 0013 — Anhui University, School of Computer Science and Technology, Hefei, China
- Jie Cao 0014 — Lanzhou University of Technology, School of Computer and Communication, Gansu, China
- Jie Cao 0016 — Zhengzhou University of Light Industry, Software Engineering College, Zhengzhou, China (and 1 more)
- Jie Cao 0017 — Nanjing University of Information Science & Technology, Nanjing, China (and 2 more)
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2020 – today
- 2022
- [j1]Jie Cao, Xiaosong Zhang, Vahakn Shahinian, Huiying Yin, Diane Steffick, Rajiv Saran, Susan Crowley, Michael Mathis, Girish N. Nadkarni, Michael Heung, Karandeep Singh:
Generalizability of an acute kidney injury prediction model across health systems. Nat. Mac. Intell. 4(12): 1121-1129 (2022)
2010 – 2019
- 2019
- [c1]Cheng Jiang, Jie Cao, Craig A. Williamson, Negar Farzaneh, Venkatakrishna Rajajee, Jonathan Gryak, Kayvan Najarian, S. M. Reza Soroushmehr:
Midline Shift vs. Mid-Surface Shift: Correlation with Outcome of Traumatic Brain Injuries. BIBM 2019: 1083-1086
Coauthor Index
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last updated on 2024-11-11 22:23 CET by the dblp team
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