Latest AI and machine learning research in practice management for healthcare professionals.
Summary: Long non-coding RNAs (lncRNAs) exert their functions by cooperating with other molecules ...
As semantic communication (SemCom) attracts growing attention as a novel communication paradigm, e...
Traditional predictive coding networks, inspired by theories of brain function, consistently achie...
The emergence of generative AI chatbots such as ChatGPT has prompted growing public and academic i...
Point cloud compression has become a crucial factor in immersive visual media processing and strea...
Recent advancements in deep learning-based joint source-channel coding (deepJSCC) have significant...
Learned image compression (LIC) has recently made significant progress, surpassing traditional met...
Energy-efficient image acquisition on the edge is crucial for enabling remote sensing applications...
Accurate medical symptom coding from unstructured clinical text, such as vaccine safety reports, i...
Extracting medical history entities (MHEs) related to a patient's chief complaint (CC), history of...
Medical knowledge graphs (KGs) are essential for clinical decision support and biomedical research...
This paper investigates distributed joint source-channel coding (JSCC) for correlated image semant...
Clinical coding is a critical task in healthcare, although traditional methods for automating clin...
While video compression based on implicit neural representations (INRs) has recently demonstrated ...
Implicit Neural Representations (INRs) are increasingly recognized as a versatile data modality fo...
Traditional image compression methods aim to faithfully reconstruct images for human perception. I...
Feature Coding for Machines (FCM) aims to compress intermediate features effectively for remote in...
Learning-based point cloud compression methods have made significant progress in terms of performa...
We consider multiple transmitters aiming to communicate their source signals (e.g., images) over a...
Image compression technology eliminates redundant information to enable efficient transmission and...
Semantic communication is designed to tackle issues like bandwidth constraints and high latency in...