Neural networks : the official journal of the International Neural Network Society
Jan 10, 2026
Long-tailed data is ubiquitous in real-world applications, posing significant challenges due to imbalanced class distribution and high levels of label noise. Previous methods to address long-tailed data with label noise often incur high computational... read more
Neural networks : the official journal of the International Neural Network Society
Jan 10, 2026
Accurate multimodal Cognitive Workload Recognition (CWR) remains challenging due to the difficulty of modeling cross-modal relationships between Electroencephalography (EEG) and Functional Magnetic Resonance Imaging (fMRI) data. Additionally, the inh... read more
Neural networks : the official journal of the International Neural Network Society
Jan 10, 2026
Zero-shot sketch-based image retrieval (ZS-SBIR) is challenging due to the cross-domain nature of sketches and photos, as well as the semantic gap between seen and unseen classes. With the rapid advancements in modern large vision-language models (VL... read more
Neural networks : the official journal of the International Neural Network Society
Jan 10, 2026
Automatic grading of Gastric Intestinal Metaplasia (GIM) is valuable in assisting the diagnosis of early gastric cancer. Recently, prototypical networks are served as a effective method for medical image processing in few-shot scenarios. However, exi... read more
Understanding water quality in the deeper layers of stratified lakes is critical, as these zones govern ecosystem stability and biodiversity health. The hypolimnion, the bottommost layer of a stratified lake, is characterized by limited vertical circ... read more
PURPOSE: There has been significant progress in detecting Alzheimer's disease (AD) using retinal imaging. We developed an ensemble learning-based deep learning (DL) model, integrating different inputs from OCT for the detection of AD-dementia and ear... read more
Artificial intelligence (AI) is rapidly transforming surgical care, offering unprecedented capabilities in diagnostics, planning, and intraoperative guidance. However, its integration into clinical practice raises complex ethical challenges that must... read more
The rapid development of Artificial Intelligence technology and digital tools is becoming pivotal to advancing healthcare. AI technology has demonstrated significant capabilities as a clinical decision support tool, extracting actionable data from fr... read more
Artificial intelligence (AI) is poised to become transformational in many aspects of modern society and has attracted significant interest within the field of medicine. This review outlines the foundational components of modern AI such as including m... read more
Effective patient-physician communication is a cornerstone of surgical care, yet increasing clinical complexity and time constraints often limit opportunities for shared decision-making. Artificial intelligence (AI) is emerging as a tool to supplemen... read more
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