Latest AI and machine learning research in universal precautions for healthcare professionals.
Digital health technologies, including machine learning (ML), are transforming infectious disease ma...
Vision Foundation Models (VFMs) pre-trained at scale enable a single frozen encoder to serve multipl...
When designing control strategies for an infectious disease it is critical to identify the key pathw...
Open-vocabulary panoptic segmentation remains hindered by two coupled issues: (i) mask selection bia...
Existing tampering detection benchmarks largely rely on object masks, which severely misalign with t...
Recent segmentation methods leveraging Multi-modal Large Language Models (MLLMs) have shown reliable...
Universal medical image segmentation seeks to use a single foundational model to handle diverse task...
Tracking Any Point (TAP) has emerged as a fundamental tool for video understanding. Current approach...
Medical visual question answering (Med-VQA) aims to answer clinically relevant questions grounded in...
Antimicrobial resistance poses a critical global health threat. For many bacterial infections, such ...
This paper presents a new ambient light normalization framework, DINOLight, that integrates the self...
Colletotrichum spp. have a complicated history of association with land plants. Perhaps most well-kn...
Positron emission tomography (PET) is a key nuclear medicine imaging modality that visualizes radiot...
We propose \textbf{A$^2$-Edit}, a unified inpainting framework for arbitrary object categories, whic...
The T cell's ability to discern self and non-self depends on its T cell receptor (TCR), which recogn...
Malawi's HIV treatment monitoring system faces serious challenges because of a shortage of experts a...
Understanding dynamic 3D environments in a spatially continuous and temporally consistent manner is ...
Unified diffusion editors often rely on a fixed, shared backbone for diverse tasks, suffering from t...
Understanding spatial affordances -- comprising the contact regions of object interaction and the co...
Acquiring per-frame video annotations remains a primary bottleneck for deploying computer vision in ...
While recent multimodal large language models (MLLMs) have made impressive strides, they predominant...