Multimodal Breast Lesion Classification Using Cross-Attention Deep Networks. - Hung Q. Vo; Pengyu Yuan; Tiancheng He; Stephen T. C. Wong; Hien Van Nguyen (BHI, 2021)

Student Collaboration Improves Self-Supervised Learning: Dual-Loss Adaptive Masked Autoencoder for Brain Cell Image Analysis. - Son T. Ly; Bai Lin; Hung Q. Vo; Maric Dragan; Badri Roysam; Hien Van Nguyen (CoRR, 2022)

Cellular data extraction from multiplexed brain imaging data using self-supervised Dual-loss Adaptive Masked Autoencoder. - Son T. Ly; Bai Lin; Hung Q. Vo; Dragan Maric; Badrinath Roysam; Hien Van Nguyen (Artif. Intell. Medicine, 2024)

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)