Hospitals do not always have the opportunity to collect data in tidy, uniform batches. A clinic may have a handful of ...

Artificial intelligence has exploded in popularity in recent years, and many proponents are excited about its potential uses in medicine: for example, processing samples quickly or identifying markers ...

Abstract: Infrared image super-resolution (IRSR) is challenging due to weak structures and textures. While Mamba-based state-space models (SSMs) efficiently model long-range dependencies, their ...

Computed tomography (CT) image processing plays a vital role in both clinical practice and scientific research, encompassing techniques such as low-dose CT enhancement, artifact removal, CT-MRI ...

The human visual system provides us with a rich and meaningful percept of the world, transforming retinal signals into visuo-semantic representations. For a model of these representations, here we ...

ByteDance’s Seed team has launched Seed3D 1.0, a diffusion transformer-based model capable of generating simulation-grade 3D assets from a single image. The model produces detailed geometry, realistic ...