The Framework of Medical Simulation Education and Evaluation System for Supporting SaaS. - Jia Shang; Ji-Jiang Yang; Qing Wang 003; Hui Pan 003 (COMPSAC Workshops, 2010)

Current Electronic Medical Record in China. - Chen Shi; Liu Hui-Ting; Pan Hui 003; Ji-Jiang Yang; Jianqiang Li 002; Qing Wang 003 (COMPSAC Workshops, 2014)

Diversity-aware retrieval of medical records. - Jianqiang Li 002; Chunchen Liu; Bo Liu 010; Rui Mao 001; Yongcai Wang; Shi Chen 002; Ji-Jiang Yang; Hui Pan 003; Qing Wang 003 (Comput. Ind., 2015)

Emerging information technologies for enhanced healthcare. - Ji-Jiang Yang; Jianqiang Li 002; Jacob Mulder; Yongcai Wang; Shi Chen 002; Hong Wu; Qing Wang 003; Hui Pan 003 (Comput. Ind., 2015)

Risk Factors Selection for SGA Prediction. - Haowen Mo; Lu Liu; Jianqiang Li 002; Ji-Jiang Yang; Xi Meng; Shi Chen 002; Hui Pan 003 (COMPSAC Workshops, 2016)

SVM Based Predictive Model for SGA Detection. - Haowen Mo; Jianqiang Li 002; Shi Chen 002; Hui Pan 003; Ji-Jiang Yang; Qing Wang 003; Rui Mao 001 (ICOST, 2016)

The production of digital and printed resources from multiple modalities using visualization and three-dimensional printing techniques. - Wuyang Shui; Mingquan Zhou; Shi Chen 002; Zhouxian Pan; Qingqiong Deng; Yong Yao; Hui Pan 003; Taiping He; Xingce Wang (Int. J. Comput. Assist. Radiol. Surg., 2017)

The process of 3D-printed skull models for the anatomy education. - Zhen Shen; Yong Yao; Yi Xie; Chao Guo 006; Xiuqin Shang; Xisong Dong; Yuqing Li; Zhouxian Pan; Shi Chen 002; Hui Pan 003; Gang Xiong 001 (CoRR, 2017)

Differentially Variable Genes of Oral Squamous Cell Carcinoma. - Caiyun Yang; Jianqiang Li 002; Ji-Jiang Yang; Shi Chen 002; Qing Wang 003; Hui Pan 003; Siyuan Liang; Weiliang Qiu (ICCSE, 2018)

Multiple facial image features-based recognition for the automatic diagnosis of turner syndrome. - Wenai Song; Yi Lei; Shi Chen 002; Zhouxian Pan; Ji-Jiang Yang; Hui Pan 003; Xiaoliang Du; Wubin Cai; Qing Wang 003 (Comput. Ind., 2018)

Diagnosis and Knowledge Discovery of Turner Syndrome Based on Facial Images Using Machine Learning Methods. - Jianqiang Li 002; Lu Liu; Jingchao Sun; Yan Pei 001; Ji-Jiang Yang; Hui Pan 003; Shi Chen 002; Qing Wang 003 (IEEE Access, 2020)

Comparison of Different Machine Learning Approaches to Predict Small for Gestational Age Infants. - Jianqiang Li 002; Lu Liu; Jingchao Sun; Haowen Mo; Ji-Jiang Yang; Shi Chen 002; Huiting Liu; Qing Wang 003; Hui Pan 003 (IEEE Trans. Big Data, 2020)

Effective large for gestational age prediction using machine learning techniques with monitoring biochemical indicators. - Faheem Akhtar; Jianqiang Li 002; Muhammad Azeem 001; Shi Chen 002; Hui Pan 003; Qing Wang 003; Ji-Jiang Yang (J. Supercomput., 2020)

WCP-RNN: a novel RNN-based approach for Bio-NER in Chinese EMRs. - Jianqiang Li 002; Shenhe Zhao; Ji-Jiang Yang; Zhisheng Huang; Bo Liu 024; Shi Chen 002; Hui Pan 003; Qing Wang 003 (J. Supercomput., 2020)

Automated medical literature screening using artificial intelligence: a systematic review and meta-analysis. - Yunying Feng; Siyu Liang; Yuelun Zhang; Shi Chen 002; Qing Wang 003; Tianze Huang; Feng Sun; Xiaoqing Liu; Huijuan Zhu; Hui Pan 003 (J. Am. Medical Informatics Assoc., 2022)

Feature selection and prediction of small-for-gestational-age infants. - Jianqiang Li 002; Lu Liu; MengChu Zhou; Ji-Jiang Yang; Shi Chen 002; Huiting Liu; Qing Wang 003; Hui Pan 003; Zhihua Sun; Feng Tan (J. Ambient Intell. Humaniz. Comput., 2024)

Development and evaluation of machine learning models for predicting large-for-gestational-age newborns in women exposed to radiation prior to pregnancy. - Xi Bai; Zhibo Zhou; Zeyan Zheng; Yansheng Li 006; Kejia Liu; Yuanjun Zheng; Hongbo Yang; Huijuan Zhu; Shi Chen 002; Hui Pan 003 (BMC Medical Informatics Decis. Mak., 2024)

Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis. - Hongjun Liu; Changwei Song; Jiaqi Qiang; Jianqiang Li 002; Hui Pan 003; Lin Lu; Xiao Long; Qing Zhao 005; Jiuzuo Huang; Shi Chen 002 (COMPSAC, 2025)

Evaluation of an AI facial recognition system for Turner Syndrome screening and facial complexity: a prospective cohort. - Jiaqi Qiang; Weixin Hong; Yuxin Sun; Xiaohong Lyu; Zhouxian Pan; Danning Wu; Zhibo Zhou; Xiaoyuan Guo; Hanze Du; Hongbo Yang; Huijuan Zhu; Shi Chen 002; et al. (Int. J. Medical Informatics, 2025)