Spectral super-resolution (sSR) is a very important technique to obtain hyperspectral images
from only RGB images, which can effectively overcome the high acquisition cost and low …

The rapid development of diagnostic technologies in healthcare is leading to higher
requirements for physicians to handle and integrate the heterogeneous, yet complementary …

In the short few months since the release of ChatGPT 1, 2, the potential for large language
models (LLMs) and generative artificial intelligence (AI) to disrupt fields as diverse as art …

More than half of brain tumors are malignant tumors, so there is a need for fast and accurate
segmentation of tumor regions in brain Magnetic Resonance Imaging (MRI) images …

The rapid development of the Internet of Things (IoT) widely supports the smart healthcare
system. IoT-based smart health has significant importance for the diagnosis of …

Diffusion models with continuous stochastic differential equations (SDEs) have shown
superior performances in image generation. It can serve as a deep generative prior to …

Various structures in human physiology follow a treelike morphology, which often expresses
complexity at very fine scales. Examples of such structures are intrathoracic airways, retinal …

Computational hyperspectral imaging (CHI) is a cutting-edge technique, which plays a
pivotal role in breaking through the quality bottleneck of hyperspectral images (HSI). Among …

The complex molecular mechanism and pathophysiology of Alzheimer's disease (AD) limits
the development of effective therapeutics or prevention strategies. Artificial Intelligence (AI) …

Abstract Information fusion is a useful technique of combining and merging different
information to form a more complete and accurate result. Traditional information fusion …