Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Uncertainty quantification is essential for deploying machine learning models in high-stakes domains...
Cervical dystonia (CD) is the most common form of dystonia, yet current assessment relies on subject...
Background Narcolepsy is a rare, lifelong neurological disorder that often begins in childhood or ad...
Segmenting the left atrial wall from late gadolinium enhancement magnetic resonance images (MRI) is ...
Multimodal learning integrates complementary information from different modalities such as image, te...
Multimodal large language models are promising for clinical visual question answering tasks, but sca...
Early detection of atypical cognitive-motor development is critical for timely intervention, yet tra...
Automated extraction of molecular interactions from scientific literature has outpaced the developme...
Recent advances in visual-language alignment have endowed vision-language models (VLMs) with fine-gr...
Multi-modal Satellite Image Time Series (SITS) analysis faces significant computational challenges f...
Medical imaging models frequently fail when deployed across hospitals, scanners, populations, or ima...
Advances in diffusion-based video generation models, while significantly improving human animation, ...
Background: Cardiovascular disease (CVD) prevention is limited by the major challenge of low long-te...
Transformer-based Genomic Language Models (GLMs) have achieved strong performance across diverse gen...
Generating rare compositional concepts in text-to-image synthesis remains a challenge for diffusion ...
Large vision-language models (VLMs) often exhibit weakened safety alignment with the integration of ...
A fundamental bottleneck in Novel View Synthesis (NVS) for autonomous driving is the inherent superv...
Image-conditioned Video diffusion models achieve impressive visual realism but often suffer from wea...
Efficiently managing and utilizing large-scale medical imaging datasets with limited resources prese...
YOLO detectors are known for their fast inference speed, yet training them remains unexpectedly time...
The transition from image to video understanding requires vision-language models (VLMs) to shift fro...