2 citations · 3 across the 5 of their papers we have counts for
5 papers
CodeCytos: AI-assisted spatial molecular imaging analysis via code-augmented agent action space
Hung Q. Vo, Huy Q. Vo, Son T. Ly +6
Conventional tissue image analysis software provides foundational capabilities for cellular analysis, including segmentation, basic morphological feature extraction, and spatial or…
Efficient Multi-scale Masked Autoencoders with Hybrid-Attention Mechanism for Breast Lesion Classification
Hung Q. Vo, Pengyu Yuan, Zheng Yin +5
Self-supervised learning (SSL) with Vision Transformers (ViT) has shown immense potential in medical image analysis. However, the quadratic complexity () of stand…
Revisiting Invariant Learning for Out-of-Domain Generalization on Multi-Site Mammogram Datasets
Hung Q. Vo, Samira Zare, Son T. Ly +6
Achieving health equity in Artificial Intelligence (AI) requires diagnostic models that maintain reliability across diverse populations. However, breast cancer screening systems fr…
Multiplexed Immunofluorescence Brain Image Analysis Using Self-Supervised Dual-Loss Adaptive Masked Autoencoder
Son T. Ly, Bai Lin, Hung Q. Vo +3
Reliable large-scale cell detection and segmentation is the fundamental first step to understanding biological processes in the brain. The ability to phenotype cells at scale can a…
Multimodal Breast Lesion Classification Using Cross-Attention Deep Networks
Hung Q. Vo, Pengyu Yuan, Tiancheng He +2
Accurate breast lesion risk estimation can significantly reduce unnecessary biopsies and help doctors decide optimal treatment plans. Most existing computer-aided systems rely sole…