Advancements in quantum imaging are transforming scientific research, offering unprecedented resolution and sensitivity for ...

A pure PyTorch implementation of Spatial Correlation Sampler, optimized for GPU performance using F.unfold operations. This module computes correlation between feature maps for motion estimation, ...

The development of glmSMA represents a valuable advancement in spatial transcriptomics analysis, offering a mathematically robust regression-based approach that achieves higher-resolution mapping of ...

Spatial reasoning remains a fundamental challenge for Vision-Language Models (VLMs), with current approaches struggling to achieve robust performance despite recent advances. We identify that this ...

Introduction: Increasing evidence highlights the pivotal role of RNA methylation and miRNAs in hepatocellular carcinoma (HCC). However, the risk associated with RNA methylation-related miRNAs (RMRMs) ...

People increasingly rely on artificial intelligence (AI) for medical diagnoses because of how quickly and efficiently these tools can spot anomalies and warning signs in medical histories, X-rays and ...

Aims To investigate the association between optical coherence tomography (OCT) biomarkers and contrast sensitivity (CS) measured by the quantitative contrast sensitivity function (qCSF) in retinal ...

This study presents a useful exploration of the complex relationship between structure and function in the developing human brain using a large-scale imaging dataset from the Human Connectome Project ...

1 School of Architectural Engineering, Huanghuai University, Zhumadian, China 2 Henan International Joint Laboratory of Structural Mechanics and Computational Simulation, Huanghuai University, ...