Latest AI and machine learning research in covid-19 for healthcare professionals.
Cross-Domain Few-Shot Segmentation (CD-FSS) aims to transfer knowledge from a source-domain datase...
Web applications are critical to modern software ecosystems, yet ensuring their reliability remain...
We introduce a new task, Referring and Reasoning for Selective Masks (R2SM), which extends text-gu...
Existing deraining models process all rainy images within a single network. However, different rai...
Foundation models like the Segment Anything Model (SAM) have significantly advanced promptable ima...
Large Language Models (LLMs) have shown remarkable capabilities, yet ensuring their outputs confor...
We survey the different methods used for extending the BWT to collections of strings, following la...
This paper introduces GeoChain, a large-scale benchmark for evaluating step-by-step geographic rea...
Pharmacogenetics is a promising strategy to facilitate individualized care for patients with Major D...
Colorectal cancer (CRC) remains a major cause of cancer-related deaths worldwide, with early detecti...
Organoids, 3D cellular models derived from stem cells, have revolutionized drug testing by providing...
The clinical benefits of neoadjuvant chemoimmunotherapy (NACI) are demonstrated in patients with bla...
Weakly-supervised learning methods have become increasingly attractive for medical image segmentatio...
In healthcare sector, magnetic resonance imaging (MRI) images are taken for multiple sclerosis (MS) ...
Quantitative susceptibility mapping (QSM) provides the spatial distribution of magnetic susceptibili...
Deep learning label-free cell imaging has become essential in modern medical applications, enabling ...
PM pollution is one of the prominent environmental issues currently faced in China, influenced by va...
Accurate estimation of harmful algal blooms is essential for protecting surface water. Chlorophyll-a...
As an important atmospheric pollutant causing serious harm to human health and the natural environme...
The digenic inheritance hypothesis holds the potential to enhance diagnostic yield in rare diseases....
Protein misfolding and aggregation play a central role in the progression of neurodegenerative disea...