Glaucoma is the leading cause of irreversible blindness, and the early detection and timely
treatment are essential for glaucoma management. However, due to the interindividual …

Deep learning (DL) has been recently applied to adaptive optics (AO) to correct optical
aberrations rapidly in biomedical imaging. Here we propose a DL assisted zonal adaptive …

Determining the nature of orbital tumors is challenging for current imaging interpretation
methods, which hinders timely treatment. This study aimed to propose an end-to-end deep …

Purpose Glaucoma is the main cause of irreversible blindness worldwide. However, the
diagnosis and treatment of glaucoma remain difficult because of the lack of an effective …

At the different radioactivity, temperature, pressure, heights, and incident angles, the influences
of the electromagnetic wave propagating in the α-decay radionuclide layer (RNL) coated …

A rapid feedback-based scattering compensation method is particularly important for guiding
light precisely within turbid tissues, especially the dynamic tissues. However, the huge …

Fear memory contextualization is critical for selecting adaptive behavior to survive. Contextual
fear conditioning (CFC) is a classical model for elucidating related underlying neuronal …

Vascular occlusion leading to brain dysfunctions is usually considered evoking microglia-induced
inflammation response. However, it remains unclear how microglia interact with blood …

Graph-structured data exist in numerous applications in real life. As a state-of-the-art graph
neural network, the graph convolutional network (GCN) plays an important role in processing …

Graph Neural Networks (GNNs) are a class of deep learning models capable of processing
graph-structured data, and they have demonstrated significant performance in a variety of …