Preventing inpatient falls with injuries using integrative machine learning prediction: a cohort study. - Lin Wang 065; Zhong Xue; Chika F. Ezeana; Mamta Puppala; Shenyi Chen; Rebecca L. Danforth; Xiaohui Yu 003; Tiancheng He; Mark L. Vassallo; Stephen T. C. Wong (npj Digit. Medicine, 2019)

An imageomics and multi-network based deep learning model for risk assessment of liver transplantation for hepatocellular cancer. - Tiancheng He; Joy Nolte Fong; Linda W. Moore; Chika F. Ezeana; David Victor; Mukul Divatia; Matthew Vasquez; R. Mark Ghobrial; Stephen T. C. Wong (Comput. Medical Imaging Graph., 2021)

A Time-Series Feature-Based Recursive Classification Model to Optimize Treatment Strategies for Improving Outcomes and Resource Allocations of COVID-19 Patients. - Lin Wang 065; Zheng Yin; Mamta Puppala; Chika F. Ezeana; Kelvin K. Wong; Tiancheng He; Deepa B. Gotur; Stephen T. C. Wong (IEEE J. Biomed. Health Informatics, 2022)

Revisiting Invariant Learning for Out-of-Domain Generalization on Multi-Site Mammogram Datasets. - Hung Q. Vo; Samira Zare; Son T. Ly; Lin Wang 065; Chika F. Ezeana; Xiaohui Yu 003; Kelvin K. Wong; Stephen T. C. Wong; Hien Van Nguyen (CoRR, 2025)

MIRAM: Masked Image Reconstruction Across Multiple Scales for Breast Lesion Risk Prediction. - Hung Q. Vo; Pengyu Yuan; Zheng Yin; Kelvin K. Wong; Chika F. Ezeana; Son T. Ly; Stephen T. C. Wong; Hien Van Nguyen (CoRR, 2025)

Frozen Large-Scale Pretrained Vision-Language Models are the Effective Foundational Backbone for Multimodal Breast Cancer Prediction. - Hung Q. Vo; Lin Wang 065; Kelvin K. Wong; Chika F. Ezeana; Xiaohui Yu 003; Wei Yang; Jenny C. Chang; Hien Van Nguyen; Stephen T. C. Wong (IEEE J. Biomed. Health Informatics, 2025)