Evaluating the granularity balance of hierarchical relationships within large biomedical terminologies towards quality improvement. - Lingyun Luo; Ling Tong 002; Xiaoxi Zhou; José Leonardo Villaraza Mejino Jr.; Chunping Ouyang; Yongbin Liu (J. Biomed. Informatics, 2017)

Machine Learning-Based Modeling of Big Clinical Trials Data for Adverse Outcome Prediction: A Case Study of Death Events. - Ling Tong 002; Jake Luo; Ron A. Cisler; Michael Cantor (COMPSAC (2), 2019)

Telemedicine Adoption during the COVID-19 Pandemic: Gaps and Inequalities. - Jake Luo; Ling Tong 002; Bradley H. Crotty; Melek Somai; Bradley W. Taylor; Kristen Osinski; Ben George (Appl. Clin. Inform., 2021)

A deep learning study on osteosarcoma detection from histological images. - D. M. Anisuzzaman; Hosein Barzekar; Ling Tong 002; Jake Luo; Zeyun Yu (Biomed. Signal Process. Control., 2021)

A Clustering-Aided Approach for Diagnosis Prediction: A Case Study of Elderly Fall. - Ling Tong 002; Jake Luo; Jazzmyne Adams; Kristen Osinski; Xiaoyu Liu; David Friedland (COMPSAC, 2022)

MultiNet with Transformers: A Model for Cancer Diagnosis Using Images. - Hosein Barzekar; Yash Patel; Ling Tong 002; Zeyun Yu (CoRR, 2023)