Neural networks : the official journal of the International Neural Network Society
Mar 24, 2026
Deep learning methods have demonstrated remarkable advancements in medical image segmentation. However, achieving high accuracy remains a prominent challenge. In this paper, we present a new architecture, named VGM-UNet, that improves U-shaped segmen... read more
Neural networks : the official journal of the International Neural Network Society
Mar 24, 2026
Recently, time series forecasting has been widely used in many fields. Time series feature extraction is a key research area, and the complexity and diversity of data make traditional feature decomposition methods difficult to adapt. Aiming at the pr... read more
BACKGROUND: Numerous factors from the family environment, school contexts, and individual characteristics have been shown to be associated with adolescent social anxiety, but the relative importance of these factors is rather unclear. This study aime... read more
Neural networks : the official journal of the International Neural Network Society
Mar 24, 2026
This research considers the problem of predefined-time adaptive neural control for high-order nonlinear systems with dynamics uncertainties. Through the application of neural networks, the unknown nonlinear functions of the systems are approximated. ... read more
Current problems in diagnostic radiology
Mar 24, 2026
With the reinstatement of the American Board of Radiology (ABR) oral board examination, optimal preparation strategies for the reinaugural classes remain undefined. Many radiology faculty, who are the cornerstone of residents' education, lack time av... read more
The present study aims to identify key genes and elucidate the molecular mechanisms underlying osteonecrosis of the femoral head (ONFH), with the goal of discovering effective diagnostic and therapeutic targets. Microarray data were sourced from the ... read more
European journal of cancer (Oxford, England : 1990)
Mar 24, 2026
INTRODUCTION: The latest generation of liquid biopsies incorporates multi-omic features, including genomics, methylomics, and fragmentomics. Machine learning (ML) approaches have been proposed to synthesize these complex biological data for the devel... read more
Earlier efforts to assess anthropogenic impacts on river greenhouse gas (GHG) emissions mainly relied on local-scale data, overlooking how cross-boundary factors such as climate, topography, socio-economic and demographic context shape river pollutio... read more
Early identification of plant species in uncontrolled conditions can be complex due to the complex background and morphological diversity of a plant's leaves. Agriculture plays an important role in our daily life to produce food, develop economies, i... read more
The dataset comprises Building Management System (BMS) data from an educational building located on the main campus of Aalborg University in Denmark, as well as from Empa's NEST (Next Evolution in Sustainable Building Technologies) demonstrator build... read more
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.