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Honglai Zhang
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2020 – today
- 2023
- [j3]Yunling Li, Shangxuan Li, Hanqiu Ju, Tatsuya Harada, Honglai Zhang, Ting Duan, Guangyi Wang, Lijuan Zhang, Lin Gu
, Wu Zhou:
Correlated and individual feature learning with contrast-enhanced MR for malignancy characterization of hepatocellular carcinoma. Pattern Recognit. 142: 109638 (2023) - 2020
- [c11]Yunling Li, Hui Huang, Lijuan Zhang, Guangyi Wang, Honglai Zhang, Wu Zhou:
Super-Resolution and Self-Attention with Generative Adversarial Network for Improving Malignancy Characterization of Hepatocellular Carcinoma. ISBI 2020: 1556-1560
2010 – 2019
- 2019
- [j2]Zhaohui Liang
, Jun Liu, Aihua Ou, Honglai Zhang, Ziping Li, Jimmy Xiangji Huang
:
Deep generative learning for automated EHR diagnosis of traditional Chinese medicine. Comput. Methods Programs Biomed. 174: 17-23 (2019) - [c10]Zhaohui Liang
, Jun Liu, Honglai Zhang, Jimmy Xiangji Huang
, Ziping Li, Stephen Chan:
Patient Entity Recognition by Automatic EHR Context Understanding and Deep Learning. BIBM 2019: 1096-1099 - [c9]Wanwei Jian, Hanqiu Ju, Xiaoping Cen, Manman Cui, Honglai Zhang, Lijuan Zhang, Guangyi Wang, Lin Gu, Wu Zhou:
Improving the malignancy characterization of hepatocellular carcinoma using deeply supervised cross modal transfer learning for non-enhanced MR. EMBC 2019: 853-856 - [c8]Hanqiu Ju, Guangyi Wang, Shaoyang Men, Honglai Zhang, Lin Gu, Wu Zhou:
Discrepancy Steered Conditional Adversarial Network For Deep Feature Based Malignancy Characterization of Hepatocellular Carcinoma. ICIP 2019: 1342-1345 - 2017
- [j1]Hang Wei, Li Lin, Honglai Zhang, Yangyang Xu, Shao-dong Deng, Jiajing Yu, Jiaming Hong, Rui Chen, Qinqun Chen:
Fuzzy clustering algorithms for identification of Exocarpium Citrus Grandis through chromatography. Soft Comput. 21(5): 1291-1300 (2017) - 2016
- [c7]Li-Chun Guo, Honglai Zhang, Hang Wei, Xiao-Yan Wei, Qin-Ye Lin, Huo-Yuan Tan, Qin-Qun Chen:
Application of patient-reported outcomes in clinical evaluation model of acupuncture for cervical spondylosis with SEM and ANNs. ICMLC 2016: 825-831 - [c6]Xiu-Juan Chen, Honglai Zhang, Feng Lu, Hang Wei, Qin-Qun Chen:
Research on PRO scale of acupuncture for cervical spondylosis with multidimensional item response theory. ICMLC 2016: 857-862 - 2013
- [c5]Changrong Meng, Honglai Zhang, Lingfeng Zeng, Ziping Li, Jimmy X. Huang
, Zhaohui Liang:
Evidence-based decision support for the clinical practice of acupuncture: Data mining approaches. BIBM 2013: 180-181 - [c4]Hang Wei, Li Lin, Qinqun Chen, Honglai Zhang, Shao-dong Deng, Cai-xia Liang:
Deriving mutual modes from HPLC fingerprints of traditional Chinese medicine with non-negative matrix factorization. BIBM 2013: 265-270 - [c3]Hang Wei, Ziping Li, Honglai Zhang, Qinqun Chen, Zhao-hui Liang, Li-Sha Chen:
Application of patient-reported outcomes in clinical evaluation of acupuncture for cervical spondylosis with artificial neural network. BIBM 2013: 271-276 - 2012
- [c2]Hang Wei, Li Lin, Honglai Zhang, Qinqun Chen:
Automatic identification peaks in chromatographic fingerprints based on fuzzy matching. FSKD 2012: 292-296 - 2011
- [c1]Zhong Di, Honglai Zhang, Gang Zhang, Zhaohui Liang, Li Jiang, Jianhua Liu, Wenbin Fu
:
A clinical outcome evaluation model with local sample selection: A study on efficacy of acupuncture for cervical spondylosis. BIBM Workshops 2011: 829-833
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