1 citations · 3 across the 7 of their papers we have counts for
6 papers · 1 filter
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…
Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation
Son Thai Ly, Hien V. Nguyen
Adapting vision transformer foundation models through parameter-efficient fine-tuning (PEFT) methods has become increasingly popular. These methods optimize a limited subset of par…
Anomaly Detection in Satellite Videos using Diffusion Models
Akash Awasthi, Son Ly, Jaer Nizam +7
The definition of anomaly detection is the identification of an unexpected event. Real-time detection of extreme events such as wildfires, cyclones, or floods using satellite data…
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…