Latest AI and machine learning research in universal precautions for healthcare professionals.
Tuberculosis (TB) is prevalent in Uganda and overlaps with a high rate of HIV/TB coinfection. While ...
Background: Radiographic detection of caries lesions adjacent to restorations is challenging due to ...
This study developed a large language model (LLM)-based solution to identify people at HIV risk usin...
Predicting which receptor a phage binds to from genome sequence alone has remained an intractable ch...
Panoramic radiography is a fundamental diagnostic tool in dentistry, offering a comprehensive view o...
Background: Datasets related to infectious diseases are essential for public health decision-making,...
Instance-level object segmentation across disparate egocentric and exocentric views is a fundamental...
We address the challenge of synthetic-to-real transfer in forestry perception where real data have o...
Style transfer aims to render a content image with the visual characteristics of a reference style w...
Digital breast tomosynthesis (DBT) is now the standard of care for breast cancer screening in the US...
Visual Foundation Models (VFMs) such as the Segment Anything Model (SAM) have significantly advanced...
Generative object compositing methods have shown remarkable ability to seamlessly insert objects int...
Existing defect/anomaly generation methods often rely on few-shot learning, which overfits to specif...
Referring Expression Segmentation (RES) aims to segment image regions described by natural-language ...
For applications including facial identification, forensic analysis, photographic improvement, and m...
We introduce region-specific image refinement as a dedicated problem setting: given an input image a...
We present Moondream Segmentation, a referring image segmentation extension of Moondream 3, a vision...
Data heterogeneity hinders clinical deployment of medical image analysis models, and generative data...
Nuclei instance segmentation is critical in computational pathology for cancer diagnosis and prognos...
Few-shot medical image segmentation (FSMIS) has achieved notable progress, yet most existing methods...
As multimodal misinformation becomes more sophisticated, its detection and grounding are crucial. Ho...