Mamba, a recent selective structured state space model, performs excellently on long
sequence modeling tasks. Mamba mitigates the modeling constraints of convolutional …

State Space Model (SSM) is a mathematical model used to describe and analyze the
behavior of dynamic systems. This model has witnessed numerous applications in several …

Deep learning, as a vital technique, has sparked a notable revolution in artificial intelligence.
As the most representative architecture, Transformers have empowered numerous …

Multimodal medical image fusion (MMIF) technology aims to generate fused images that
comprehensively reflect the information of tissues, organs, and metabolism, thereby …

The trade-off between spatial and spectral resolution in sensor design is inevitable, and
spatial spectral fusion aims to use Low spatial Resolution (LR) HyperSpectral Image (HSI) …

Convolution is a crucial component of convolution neural networks (CNNs). However, the
standard static convolution has two primary defects: data independence and the weak ability …

Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) are the predominant
modalities utilized in the field of medical imaging. Although MRI capture the complexity of …