AIMC Topic: Neural Networks, Computer

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Hypercomplex Graph Neural Network: Towards Deep Intersection of Multi-Modal Brain Networks.

IEEE journal of biomedical and health informatics May 6, 2025
The multi-modal neuroimage study has provided insights into understanding the heteromodal relationships between brain network organization and behavioral phenotypes. Integrating data from various modalities facilitates the characterization of the int...
Neural Networks, Computer Brain Humans Graph Neural Networks Magnetic Resonance Imaging Nerve Net
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Towards High-Quality MRI Reconstruction With Anisotropic Diffusion-Assisted Generative Adversarial Networks and Its Multi-Modal Images Extension.

IEEE journal of biomedical and health informatics May 6, 2025
Recently, fast Magnetic Resonance Imaging reconstruction technology has emerged as a promising way to improve the clinical diagnostic experience by significantly reducing scan times. While existing studies have used Generative Adversarial Networks to...
Anisotropy Humans Generative Adversarial Networks Brain Image Processing, Computer-Assisted Magnetic Resonance Imaging Neural Networks, Computer Algorithms
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A Lesion-Fusion Neural Network for Multi-View Diabetic Retinopathy Grading.

IEEE journal of biomedical and health informatics May 6, 2025
As the most common complication of diabetes, diabetic retinopathy (DR) is one of the main causes of irreversible blindness. Automatic DR grading plays a crucial role in early diagnosis and intervention, reducing the risk of vision loss in people with...
Neural Networks, Computer Algorithms Fundus Oculi Retina Deep Learning Humans Diabetic Retinopathy Image Interpretation, Computer-Assisted
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PMMNet: A Dual Branch Fusion Network of Point Cloud and Multi-View for Intracranial Aneurysm Classification and Segmentation.

IEEE journal of biomedical and health informatics May 6, 2025
Intracranial aneurysm (IA) is a vascular disease of the brain arteries caused by pathological vascular dilation, which can result in subarachnoid hemorrhage if ruptured. Automatically classification and segmentation of intracranial aneurysms are esse...
Image Interpretation, Computer-Assisted Intracranial Aneurysm Neural Networks, Computer Humans Algorithms Imaging, Three-Dimensional
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Adaptive Cross-Feature Fusion Network With Inconsistency Guidance for Multi-Modal Brain Tumor Segmentation.

IEEE journal of biomedical and health informatics May 6, 2025
In the context of contemporary artificial intelligence, increasing deep learning (DL) based segmentation methods have been recently proposed for brain tumor segmentation (BraTS) via analysis of multi-modal MRI. However, known DL-based works usually d...
Multimodal Imaging Image Interpretation, Computer-Assisted Deep Learning Magnetic Resonance Imaging Brain Brain Neoplasms Neural Networks, Computer Algorithms Humans
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Application of machine learning in predicting consumer behavior and precision marketing.

PloS one May 6, 2025
with the intensification of market competition and the complexity of consumer behavior, enterprises are faced with the challenge of how to accurately identify potential customers and improve user conversion rate. This paper aims to study the applicat...
Consumer Behavior Machine Learning Humans Marketing Support Vector Machine Neural Networks, Computer
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Investigating the influence of socioeconomic factors on the relationships between road characteristics and traffic crash frequency and severity-- A hybrid structural equation modelling - artificial neural networks approach.

Accident; analysis and prevention May 5, 2025
Traffic crashes result from complex interactions between driver, roadway, and environmental factors, which traditional methods often fail to capture. This paper investigates the influence of road, weather, and socioeconomic factors on traffic crashes...
Ohio Weather Automobile Driving Neural Networks, Computer Humans Latent Class Analysis Environment Design Socioeconomic Factors Accidents, Traffic
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Entropy-driven deep learning framework for epilepsy detection using electro encephalogram signals.

Neuroscience May 5, 2025
Epilepsy is one of the most frequently occurring neurological disorders that require early and accurate detection. This paper introduces a novel approach for the automatic identification of epilepsy in EEG signals by incorporating advanced entropy-ba...
Humans Neural Networks, Computer Epilepsy Deep Learning Signal Processing, Computer-Assisted Electroencephalography Entropy
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A Novel 3D Approach with a CNN and Swin Transformer for Decoding EEG-Based Motor Imagery Classification.

Sensors (Basel, Switzerland) May 5, 2025
Motor imagery (MI) is a crucial research field within the brain-computer interface (BCI) domain. It enables patients with muscle or neural damage to control external devices and achieve movement functions by simply imagining bodily motions. Despite t...
Signal Processing, Computer-Assisted Brain-Computer Interfaces Deep Learning Electroencephalography Imagination Signal-To-Noise Ratio Movement Neural Networks, Computer Algorithms Humans
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MDEU-Net: Medical Image Segmentation Network Based on Multi-Head Multi-Scale Cross-Axis.

Sensors (Basel, Switzerland) May 5, 2025
Significant advances have been made in the application of attention mechanisms to medical image segmentation, and these advances are notably driven by the development of the cross-axis attention mechanism. However, challenges remain in handling compl...
Humans Neural Networks, Computer Diagnostic Imaging Algorithms Image Processing, Computer-Assisted
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