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Junhua Chen 0002
Person information
- affiliation: Maastricht University, Faculty of Health Medicine and Life Sciences, Medical Centre+, The Netherlands
- affiliation: Beijing University of Technology, College of Life Science and Bioengineering, China
- affiliation: Wenzhou Medical University, Chashan University Town, School of Information and Engineering, China
Other persons with the same name
- Junhua Chen — disambiguation page
- Junhua Chen 0001 — Huazhong University of Science and Technology, State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Wuhan, China (and 1 more)
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Journal Articles
- 2023
- [j4]Junhua Chen, Chong Zhang, Leonard Wee, Andre Dekker, Iñigo Bermejo:
Are all shortcuts in encoder-decoder networks beneficial for CT denoising? Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(1): 59-66 (2023) - 2020
- [j3]Junhua Chen, Xingming Qi, Wenxin Wang, Bao Li, Youjun Liu:
Real-time location of surgical incisions in cataract phacoemulsification. Multim. Tools Appl. 79(41-42): 30311-30327 (2020) - 2019
- [j2]Junhua Chen, Miao Tian, Xingming Qi, Wenxing Wang, Youjun Liu:
A solution to reconstruct cross-cut shredded text documents based on constrained seed K-means algorithm and ant colony algorithm. Expert Syst. Appl. 127: 35-46 (2019) - 2018
- [j1]Junhua Chen, Daguan Ke, Zhanghong Wang, Youjun Liu:
A high splicing accuracy solution to reconstruction of cross-cut shredded text document problem. Multim. Tools Appl. 77(15): 19281-19300 (2018)
Informal and Other Publications
- 2021
- [i3]Junhua Chen, Haiyan Zeng, Chong Zhang, Zhenwei Shi, Andre Dekker, Leonard Wee, Iñigo Bermejo:
Lung Cancer Diagnosis Using Deep Attention Based on Multiple Instance Learning and Radiomics. CoRR abs/2104.14655 (2021) - [i2]Junhua Chen, Chong Zhang, Alberto Traverso, Ivan Zhovannik, Andre Dekker, Leonard Wee, Iñigo Bermejo:
Generative Models Improve Radiomics Reproducibility in Low Dose CTs: A Simulation Study. CoRR abs/2104.15050 (2021) - [i1]Junhua Chen, Iñigo Bermejo, Andre Dekker, Leonard Wee:
Generative Models Improve Radiomics Performance in Different Tasks and Different Datasets: An Experimental Study. CoRR abs/2109.02252 (2021)
Coauthor Index
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