Robust Classification of Functional and Nonfunctional Arm Movement after Stroke Using a Single Wrist-Worn Sensor Device. - Tan Tran; Lin-Ching Chang; Ibrahim Almubark; Elaine M. Bochniewicz; Liqi Shu; Peter S. Lum; Alexander Dromerick (IEEE BigData, 2018)

Adversarial active learning for the identification of medical concepts and annotation inconsistency. - Gang Yu; Yiwen Yang; Xuying Wang; Huachun Zhen; Guoping He; Zheming Li; Yonggen Zhao; Qiang Shu; Liqi Shu (J. Biomed. Informatics, 2020)

The Time Has Come: a Paradigm Shift in Diagnostic Radiology Education via Simulation Training. - Liqi Shu; Faraien Bahri; Navid Mostaghni; Gang Yu; Ramin Javan (J. Digit. Imaging, 2021)

Improving chronic disease management for children with knowledge graphs and artificial intelligence. - Gang Yu; Mohammad Tabatabaei; József Mezei; Qianhui Zhong; Siyu Chen; Zheming Li; Jing Li; Liqi Shu; Qiang Shu (Expert Syst. Appl., 2022)

A robust phenotype-driven likelihood ratio analysis approach assisting interpretable clinical diagnosis of rare diseases. - Jian Yang; Liqi Shu; Huilong Duan; Haomin Li 001 (J. Biomed. Informatics, 2023)

RDmaster: A novel phenotype-oriented dialogue system supporting differential diagnosis of rare disease. - Jian Yang; Liqi Shu; Mingyu Han; Jiarong Pan; Lihua Chen; Tianming Yuan; Linhua Tan; Qiang Shu; Huilong Duan; Haomin Li 001 (Comput. Biol. Medicine, 2024)

Development and Analysis of an Origami-Based Elastomeric Actuator and Soft Gripper Control with Machine Learning and EMG Sensors. - Meixin Wang; Won-Hyong Lee; Liqi Shu; Yong Sin Kim; Chung Hyuk Park (Sensors, 2024)