Chika F. Ezeana

According to our database, Chika F. Ezeana authored at least 6 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Frozen Large-Scale Pretrained Vision-Language Models are the Effective Foundational Backbone for Multimodal Breast Cancer Prediction.

Hung Q. Vo, Lin Wang, Kelvin K. Wong, Chika F. Ezeana, Xiaohui Yu, Wei Yang, Jenny C. Chang, Hien Van Nguyen, Stephen T. C. Wong

IEEE J. Biomed. Health Informatics, May, 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, March, 2025

Revisiting Invariant Learning for Out-of-Domain Generalization on Multi-Site Mammogram Datasets.

Hung Q. Vo, Samira Zare, Son T. Ly, Lin Wang, Chika F. Ezeana, Xiaohui Yu, Kelvin K. Wong, Stephen T. C. Wong, Hien Van Nguyen

CoRR, March, 2025

2022

A Time-Series Feature-Based Recursive Classification Model to Optimize Treatment Strategies for Improving Outcomes and Resource Allocations of COVID-19 Patients.

Lin Wang, 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

2021

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

2019

Preventing inpatient falls with injuries using integrative machine learning prediction: a cohort study.

Lin Wang, Zhong Xue, Chika F. Ezeana, Mamta Puppala, Shenyi Chen, Rebecca L. Danforth, Xiaohui Yu, Tiancheng He, Mark L. Vassallo, Stephen T. C. Wong

npj Digit. Medicine, 2019