A comparison of multimodal biomarkers for chronic hepatitis B assessment using recursive feature elimination. - Yanru Bai; Xin Chen 025; Changfeng Dong; Yingxia Liu; Zhiguo Zhang 001 (EMBC, 2016)

Assessment of liver fibrosis in chronic hepatitis B via multimodal data. - Bai Ying Lei; Yingxia Liu; Changfeng Dong; Xin Chen 025; Xinyu Zhang; Xian-Fen Diao; Guilin Yang; Jing Liu; Simin Yao; Hanying Li; Jing Yuan; Shaxi Li; et al. (Neurocomputing, 2017)

Effective Sample Pair Generation for Ultrasound Video Contrastive Representation Learning. - Yixiong Chen; Chunhui Zhang; Li Liu 036; Cheng Feng; Changfeng Dong; Yongfang Luo; Xiang Wan (CoRR, 2020)

Multi-Modal Active Learning For Automatic Liver Fibrosis Diagnosis Based On Ultrasound Shear Wave Elastography. - Lufei Gao; Ruisong Zhou; Changfeng Dong; Cheng Feng; Zhen Li 026; Xiang Wan; Li Liu 036 (ISBI, 2021)

USCL: Pretraining Deep Ultrasound Image Diagnosis Model Through Video Contrastive Representation Learning. - Yixiong Chen; Chunhui Zhang; Li Liu 036; Cheng Feng; Changfeng Dong; Yongfang Luo; Xiang Wan (MICCAI (8), 2021)

Multi-scale information with attention integration for classification of liver fibrosis in B-mode US image. - Xiangfei Feng; Xin Chen 025; Changfeng Dong; Yingxia Liu; Zhong Liu 004; Ruixin Ding; Qinghua Huang (Comput. Methods Programs Biomed., 2022)

A Style Transfer-Based Augmentation Framework for Improving Segmentation and Classification Performance Across Different Sources in Ultrasound Images. - Bin Huang; Ziyue Xu 001; Shing-Chow Chan; Zhong Liu 004; Huiying Wen; Chao Hou; Qicai Huang; Meiqin Jiang; Changfeng Dong; Jie Zeng; Ruhai Zou; Bingsheng Huang; et al. (MICCAI (6), 2023)

Automatic Diagnosis of Significant Liver Fibrosis From Ultrasound B-Mode Images Using a Handcrafted-Feature-Assisted Deep Convolutional Neural Network. - Zhong Liu 004; Bin Huang; Huiying Wen; Zhicheng Lu; Qicai Huang; Meiqin Jiang; Changfeng Dong; Yingxia Liu; Xin Chen 025; Haoming Lin (IEEE J. Biomed. Health Informatics, 2023)