Hung Q. Vo

According to our database, Hung Q. Vo authored at least 6 papers between 2021 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

2024

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

2022

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

2021

Multimodal Breast Lesion Classification Using Cross-Attention Deep Networks.

Hung Q. Vo, Pengyu Yuan, Tiancheng He, Stephen T. C. Wong, Hien Van Nguyen

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021