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Yun Peng 0005
Person information
- affiliation: Capital Medical University, Beijing Children's Hospital, Department of Radiology, China
Other persons with the same name
- Yun Peng — disambiguation page
- Yun Peng 0001 — University of Maryland, Department of Computer Science and Electrical Engineering, Baltimore County, MD, USA
- Yun Peng 0002
— Guangzhou University, Guangdong Provincial Key Laboratory of Blockchain Security, China (and 1 more)
- Yun Peng 0003
- Yun Peng 0004 — Jiangxi Normal University, College of Computer Information Engineering, Nanchang, China
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2020 – today
- 2022
- [j7]Shasha Hu, Yongbei Zhu, Di Dong, Bei Wang, Zuofu Zhou, Chi Wang, Jie Tian, Yun Peng
Chest Radiographs Using a Context-Fusion Convolution Neural Network (CNN): Can It Distinguish the Etiology of Community-Acquired Pneumonia (CAP) in Children? J. Digit. Imaging 35(5): 1079-1090 (2022) - [c7]Xiaolin Wang, Ziyang Li, Zi Li, Yun Peng, Di Hu, Huanyu Luo, Huanjie Li, Zhongxuan Luo, Xin Fan:
DeepEnReg: Joint Enhancement and Affine Registration for Low-contrast Medical Images. PRCV (2) 2022: 152-163 - 2021
- [j6]Jihang Sun, Haoyan Li
Application of a deep learning image reconstruction (DLIR) algorithm in head CT imaging for children to improve image quality and lesion detection. BMC Medical Imaging 21(1): 108 (2021) - [j5]Yupeng Zhu, Wangxing Fu, Yangyue Huang, Ning Sun, Yun Peng:
Imaging features and differences among the three primary malignant non-Wilms tumors in children. BMC Medical Imaging 21(1): 181 (2021)
2010 – 2019
- 2019
- [j4]Bei Wang, Min Li, He Ma, Fangfang Han, Yan Wang, Shunying Zhao, Zhimin Liu, Tong Yu, Jie Tian, Di Dong, Yun Peng
Computed tomography-based predictive nomogram for differentiating primary progressive pulmonary tuberculosis from community-acquired pneumonia in children. BMC Medical Imaging 19(1): 63:1-63:11 (2019) - [j3]Lei Feng, Hang Li, Kenichi Oishi
Age-specific gray and white matter DTI atlas for human brain at 33, 36 and 39 postmenstrual weeks. NeuroImage 185: 685-698 (2019) - 2018
- [c6]Hongwei Wen
Altered structural-functional coupling of large-scale brain networks in early Tourette syndrome children. Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 1057828 - 2017
- [j2]Jihang Sun, Tong Yu, Jinrong Liu, Xiaomin Duan, Di Hu, Yong Liu, Yun Peng:
Image quality improvement using model-based iterative reconstruction in low dose chest CT for children with necrotizing pneumonia. BMC Medical Imaging 17(1): 24:1-24:8 (2017) - [j1]Hongwei Wen
Multi-modal multiple kernel learning for accurate identification of Tourette syndrome children. Pattern Recognit. 63: 601-611 (2017) - [c5]Hongwei Wen
Diffusion tractography and graph theory analysis reveal the disrupted rich-club organization of white matter structural networks in early Tourette Syndrome children. Biomedical Applications in Molecular, Structural, and Functional Imaging 2017: 101371E - [c4]Hongwei Wen
Multi-threshold white matter structural networks fusion for accurate diagnosis of Tourette syndrome children. Computer-Aided Diagnosis 2017: 101341Q - 2016
- [c3]Minhui Ouyang
Global and regional cortical connectivity maturation index (CCMI) of developmental human brain with quantification of short-range association tracts. Biomedical Applications in Molecular, Structural, and Functional Imaging 2016: 97881B - [c2]Hongwei Wen
Using support vector machines with tract-based spatial statistics for automated classification of Tourette syndrome children. Computer-Aided Diagnosis 2016: 97852Q - [c1]Hongwei Wen
A diagnosis model for early Tourette syndrome children based on brain structural network characteristics. Computer-Aided Diagnosis 2016: 97852R
Coauthor Index
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