Artificial intelligence chatbots have achieved unprecedented adoption, with
millions now using these systems for emotional support and companionship in
contexts of widespread social isolation and capacity-constrained mental health
services. While s... read more
Detection of blood cells in microscopic images has become a major focus of
medical image analysis, playing a crucial role in gaining valuable insights
into a patient's health. Manual blood cell checks for disease detection are
known to be time-cons... read more
Drug-drug interactions (DDIs) arise when multiple drugs are administered
concurrently. Accurately predicting the specific mechanisms underlying DDIs
(named DDI events or DDIEs) is critical for the safe clinical use of drugs.
DDIEs are typically rep... read more
The rapid advancement of image-generation technologies has made it possible
for anyone to create photorealistic images using generative models, raising
significant security concerns. To mitigate malicious use, tracing the origin of
such images is e... read more
Context modeling is essential in learned image compression for accurately
estimating the distribution of latents. While recent advanced methods have
expanded context modeling capacity, they still struggle to efficiently exploit
long-range dependenc... read more
European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
Jul 25, 2025
PURPOSE: Intervertebral disc degeneration (IDD) is a major contributor to chronic low back pain. Magnetic resonance imaging (MRI) serves as the gold standard for IDD assessment, yet manual grading is often subjective and inconsistent. With advances i... read more
Underwater pollution is one of today's most significant environmental
concerns, with vast volumes of garbage found in seas, rivers, and landscapes
around the world. Accurate detection of these waste materials is crucial for
successful waste managem... read more
Fine-grained traffic management and prediction are fundamental to key
applications such as autonomous driving, lane change guidance, and traffic
signal control. However, obtaining lane-level traffic data has become a
critical bottleneck for data-dr... read more
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