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ORCIDRan Zhang 0009
Person information
- affiliation: University of Wisconsin-Madison, Department of Medical Physics, WI, USA
Other persons with the same name
- Ran Zhang — disambiguation page
- Ran Zhang 0001
![[0000-0002-6196-2890]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-6196-2890")
— Miami University, Department of Electrical and Computer Engineering, Oxford, OH, USA (and 2 more) - Ran Zhang 0002 — Jilin University, Changchun, School of Mathematics, China
- Ran Zhang 0003 — Nanyang Technological University, Interdisciplinary Graduate School, Singapore
- Ran Zhang 0004 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
- Ran Zhang 0005 — Waseda University, Graduate School of Information, Production and Systems, Kitakyushu, Japan
- Ran Zhang 0006 — China University of Mining and Technology, School of Information and Control Engineering, Xuzhou, China
- Ran Zhang 0007 — Hasso Plattner Institute, Potsdam, Germany (and 1 more)
- Ran Zhang 0008 — Chinese Academy of Sciences, Computer Network Information Center, Beijing, China (and 1 more)
- Ran Zhang 0010 — Heilongjiang University, School of Mathematical Science, Harbin, China (and 2 more)
- Ran Zhang 0011 — University of British, Columbia School of Engineering, Faculty of Applied Science, BC, Canada (and 1 more)
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Journal Articles
- 2021
[j2]Xu Ji, Mang Feng, Kevin Treb, Ran Zhang, Sebastian Schafer, Ke Li:
Development of an Integrated C-Arm Interventional Imaging System With a Strip Photon Counting Detector and a Flat Panel Detector. IEEE Trans. Medical Imaging 40(12): 3674-3685 (2021)- 2020
- [j1]Xu Ji, Ran Zhang, Ke Li, Guang-Hong Chen:
Dual Energy Differential Phase Contrast CT (DE-DPC-CT) Imaging. IEEE Trans. Medical Imaging 39(11): 3278-3289 (2020)
Conference and Workshop Papers
- 2022
- [c3]Kevin Treb, Xu Ji, Mang Feng, Ran Zhang, Sarvesh Periyasamy, Paul F. Laeseke, Ke Li:
Enlarging the longitudinal coverage of a prototype C-arm photon counting CT system for image-guided interventions. Image-Guided Procedures 2022 - 2021
- [c2]Ran Zhang, Guang-Hong Chen:
Overcoming the "catastrophic forgetting" effect in transfer learning to achieve vendor independent performance for the COVID-19 pneumonia classification task using chest x-ray radiographs. Computer-Aided Diagnosis 2021 - [c1]Dalton Griner, Ran Zhang, Xin Tie, Chengzhu Zhang, John W. Garrett, Ke Li, Guang-Hong Chen:
COVID-19 pneumonia diagnosis using chest x-ray radiograph and deep learning. Computer-Aided Diagnosis 2021
Informal and Other Publications
- 2022
- [i1]Ran Zhang, Xin Tie, John W. Garrett, Dalton Griner, Zhihua Qi, Nicholas B. Bevins, Scott B. Reeder, Guang-Hong Chen:
A Generalizable Artificial Intelligence Model for COVID-19 Classification Task Using Chest X-ray Radiographs: Evaluated Over Four Clinical Datasets with 15, 097 Patients. CoRR abs/2210.02189 (2022)
Coauthor Index
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