Background: China is facing the challenges of the increasing burden of diabetes and obesity;
the prevalence and numbers of diabetes patients with obesity or overweight are still …

Automating the analysis of chest radiographs based on deep learning algorithms has the
potential to improve various steps of the radiology workflow. Such algorithms require large, …

Recent advances in generative latent space sampling for enhanced generation quality have
demonstrated the benefits from the Energy-Based Model (EBM), which is often defined by …

Transformers bring significantly improved performance to the light field image super-resolution
task due to their long-range dependency modeling capability. However, the inherently …

Automated generation of radiology reports from chest X-rays has the potential to substantially
reduce the workload of radiologists. Recent advances in report generation using deep …

In the field of medical image analysis, the scarcity of Chinese chest X-ray report datasets
has hindered the development of technology for generating Chinese chest X-ray reports. On …

Non-rigid surface registration plays a crucial role in various vision applications. Recent
advances in probabilistic surface registration implied the effectiveness of Markov-chain Monte …

Logging is the most widely used technique to ensure the consistency of persistent data
structures across system crashes or power failures in Android systems. Recent proposals are …

The advent of non-volatile memory (NVM) technologies drives the convergence of memory
and storage towards a single-level store system, which can facilitate to reduce energy …

Emerging non-volatile memory technologies offer the durability of disk and the byte-addressability
of DRAM, which makes it feasible to build up single-level store systems. However, due …