Stacked Deconvolutional Network for Semantic Segmentation Introduction Semantic segmentation is a critical task in the field of computer vision, aiming to classify each pixel in an image and predict its category. However, existing Fully Convolutional Networks (FCNs) have limitations in handling spatial resolution, often leading to problems such as ...

Transparent Deep Image Aesthetic Assessment Based on Tag Content Descriptions Academic Background With the proliferation of social media platforms such as Instagram and Flickr, there is an increasing demand for Image Aesthetics Assessment (IAA) models. These models can help social network service providers optimize image ranking or recommendation r...

Bilingual Speech Neuroprosthesis Driven by Cortical Speech Representations Background In the development of neuroprostheses, research on decoding language from brain activity has primarily focused on decoding a single language. Thus, the extent to which bilingual speech production relies on unique or shared cortical activity between different langu...

Using Large Language Models to Identify Social Determinants of Health from Electronic Health Records Background and Research Motivation Social Determinants of Health (SDOH) have a significant impact on patient health outcomes. However, these factors are often incompletely recorded or missing in the structured data of Electronic Health Records (EHR)...

Mesenchymal Stromal Cells with Chimeric Antigen Receptors for Enhanced Immunosuppression Background Mesenchymal Stromal Cells (MSCs) are pluripotent cells found in almost all tissues and possess significant immunosuppressive and regenerative properties. These features make MSCs widely studied for the treatment of immune diseases and tissue regenera...