A clinical outcome evaluation model with local sample selection: A study on efficacy of acupuncture for cervical spondylosis. - Zhong Di; Honglai Zhang; Gang Zhang; Zhaohui Liang; Li Jiang; Jianhua Liu; Wenbin Fu (BIBM Workshops, 2011)

Automatic identification peaks in chromatographic fingerprints based on fuzzy matching. - Hang Wei 001; Li Lin; Honglai Zhang; Qinqun Chen (FSKD, 2012)

Evidence-based decision support for the clinical practice of acupuncture: Data mining approaches. - Changrong Meng; Honglai Zhang; Lingfeng Zeng; Ziping Li; Jimmy X. Huang; Zhaohui Liang (BIBM, 2013)

Deriving mutual modes from HPLC fingerprints of traditional Chinese medicine with non-negative matrix factorization. - Hang Wei 001; Li Lin; Qinqun Chen; Honglai Zhang; Shao-dong Deng; Cai-xia Liang (BIBM, 2013)

Application of patient-reported outcomes in clinical evaluation of acupuncture for cervical spondylosis with artificial neural network. - Hang Wei 001; Ziping Li; Honglai Zhang; Qinqun Chen; Zhao-hui Liang; Li-Sha Chen (BIBM, 2013)

Research on PRO scale of acupuncture for cervical spondylosis with multidimensional item response theory. - Xiu-Juan Chen; Honglai Zhang; Feng Lu; Hang Wei 001; Qin-Qun Chen (ICMLC, 2016)

Application of patient-reported outcomes in clinical evaluation model of acupuncture for cervical spondylosis with SEM and ANNs. - Li-Chun Guo; Honglai Zhang; Hang Wei 001; Xiao-Yan Wei; Qin-Ye Lin; Huo-Yuan Tan; Qin-Qun Chen (ICMLC, 2016)

Fuzzy clustering algorithms for identification of Exocarpium Citrus Grandis through chromatography. - Hang Wei 001; Li Lin; Honglai Zhang; Yangyang Xu; Shao-dong Deng; Jiajing Yu; Jiaming Hong; Rui Chen; Qinqun Chen (Soft Comput., 2017)

Patient Entity Recognition by Automatic EHR Context Understanding and Deep Learning. - Zhaohui Liang; Jun Liu 010; Honglai Zhang; Jimmy Xiangji Huang; Ziping Li; Stephen Chan (BIBM, 2019)

Improving the malignancy characterization of hepatocellular carcinoma using deeply supervised cross modal transfer learning for non-enhanced MR. - Wanwei Jian; Hanqiu Ju; Xiaoping Cen; Manman Cui; Honglai Zhang; Lijuan Zhang; Guangyi Wang; Lin Gu 003; Wu Zhou 002 (EMBC, 2019)

Discrepancy Steered Conditional Adversarial Network For Deep Feature Based Malignancy Characterization of Hepatocellular Carcinoma. - Hanqiu Ju; Guangyi Wang; Shaoyang Men; Honglai Zhang; Lin Gu 003; Wu Zhou 002 (ICIP, 2019)

Deep generative learning for automated EHR diagnosis of traditional Chinese medicine. - Zhaohui Liang; Jun Liu 010; Aihua Ou; Honglai Zhang; Ziping Li; Jimmy Xiangji Huang (Comput. Methods Programs Biomed., 2019)

Super-Resolution and Self-Attention with Generative Adversarial Network for Improving Malignancy Characterization of Hepatocellular Carcinoma. - Yunling Li; Hui Huang; Lijuan Zhang; Guangyi Wang; Honglai Zhang; Wu Zhou 002 (ISBI, 2020)

Correlated and individual feature learning with contrast-enhanced MR for malignancy characterization of hepatocellular carcinoma. - Yunling Li; Shangxuan Li; Hanqiu Ju; Tatsuya Harada; Honglai Zhang; Ting Duan; Guangyi Wang; Lijuan Zhang; Lin Gu 003; Wu Zhou 002 (Pattern Recognit., 2023)