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Journal Articles
- 2023
[j3]Han Wu
, Wenjie Ruan, Jiangtao Wang, Dingchang Zheng, Bei Liu, Yayuan Geng, Xiangfei Chai, Jian Chen, Kunwei Li, Shaolin Li, Sumi Helal:
Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task. IEEE Trans. Artif. Intell. 4(4): 764-777 (2023)- 2022
- [j2]Siyi Xun, Dengwang Li, Hui Zhu, Min Chen, Jianbo Wang, Jie Li, Meirong Chen, Bing Wu, Hua Zhang, Xiangfei Chai, Zekun Jiang, Yan Zhang, Pu Huang:
Generative adversarial networks in medical image segmentation: A review. Comput. Biol. Medicine 140: 105063 (2022) - 2020
- [j1]Pinle Qin, Kuan Wu, Yishan Hu, Jianchao Zeng, Xiangfei Chai:
Diagnosis of Benign and Malignant Thyroid Nodules Using Combined Conventional Ultrasound and Ultrasound Elasticity Imaging. IEEE J. Biomed. Health Informatics 24(4): 1028-1036 (2020)
Conference and Workshop Papers
- 2018
- [c2]Junyu Liu, Yang Liu, Cheng Wang, Anwei Li, Bowen Meng, Xiangfei Chai, Panli Zuo:
An Original Neural Network for Pulmonary Tuberculosis Diagnosis in Radiographs. ICANN (2) 2018: 158-166 - 2017
- [c1]Kang Qu, Xiangfei Chai, Tianjiao Liu, Yadong Zhang, Biao Leng, Zhang Xiong:
Computer-Aided Diagnosis in Chest Radiography with Deep Multi-Instance Learning. ICONIP (4) 2017: 723-731
Informal and Other Publications
- 2020
- [i1]Han Wu, Wenjie Ruan, Jiangtao Wang, Dingchang Zheng, Shaolin Li, Jian Chen, Kunwei Li, Xiangfei Chai, Sumi Helal:
Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task. CoRR abs/2010.02006 (2020)
Coauthor Index
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