AIMC Topic: Neural Networks, Computer

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ConsensuSV-ONT - A modern method for accurate structural variant calling.

Scientific reports May 17, 2025
Improvements in sequencing technology make the development of new tools for detection of structural variance more and more common. However, since the tools available for the long-read Oxford Nanopore sequencing are limited, and the selection of the o...
Software Algorithms Humans Neural Networks, Computer High-Throughput Nucleotide Sequencing Nanopore Sequencing Deep Learning Sequence Analysis, DNA
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Internal sensory models allow for balance control using muscle spindle acceleration feedback.

Neural networks : the official journal of the International Neural Network Society May 16, 2025
Motor control requires sensory feedback, and the nature of this feedback has implications for the tasks of the central nervous system (CNS): for an approximately linear mechanical system (e.g., a freely standing person, a rider on a bicycle), if the ...
Muscle Spindles Acceleration Feedback, Sensory Postural Balance Neural Networks, Computer Computer Simulation Humans
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GCapNet-FSD: A heterogeneous Graph Capsule Network for Few-Shot object Detection.

Neural networks : the official journal of the International Neural Network Society May 16, 2025
Few-shot object detection is a challenging task that aims to quickly adapt detectors to detect novel objects with only a minimal number of annotated examples. Although promising results have been achieved, performance still declines significantly whe...
Humans Neural Networks, Computer Pattern Recognition, Automated
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Multi-agent self-attention reinforcement learning for multi-USV hunting target.

Neural networks : the official journal of the International Neural Network Society May 16, 2025
A reinforcement learning (RL) method based on the multi-head self-attention (MSA) mechanism is proposed to solve the challenge of multiple unmanned surface vehicles (multi-USV) hunting target at the surface. The kinematic, dynamic, and environmental ...
Attention Algorithms Humans Reinforcement, Psychology Robotics Neural Networks, Computer
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Escarcitys: A framework for enhancing medical image classification performance in scarcity of trainable samples scenarios.

Neural networks : the official journal of the International Neural Network Society May 16, 2025
In the field of healthcare, the acquisition and annotation of medical images present significant challenges, resulting in a scarcity of trainable samples. This data limitation hinders the performance of deep learning models, creating bottlenecks in c...
Image Processing, Computer-Assisted Diagnostic Imaging Deep Learning Humans Neural Networks, Computer
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Mutual GNN-MLP distillation for robust graph adversarial defense.

Neural networks : the official journal of the International Neural Network Society May 16, 2025
Current adversarial defenses for graph neural networks (GNNs) face critical limitations that hinder their real-world application: (1) inadequate adaptability to graph heterophily, (2) lack of generalizability to early GNNs like Graph SAmple and aggre...
Humans Neural Networks, Computer Algorithms
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AI-powered insights into the UniSpray ionization in supercritical fluid chromatography-mass spectrometry.

Journal of chromatography. A May 16, 2025
Selection of the optimal makeup solvent composition is critical for achieving sensitive and reproducible ionization in supercritical fluid chromatography-mass spectrometry (SFC-MS). This study investigated the ionization processes in a spray-based io...
Spectrometry, Mass, Electrospray Ionization Solvents Neural Networks, Computer Artificial Intelligence Mass Spectrometry Chromatography, Supercritical Fluid
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Pancreas segmentation using AI developed on the largest CT dataset with multi-institutional validation and implications for early cancer detection.

Scientific reports May 16, 2025
Accurate and fully automated pancreas segmentation is critical for advancing imaging biomarkers in early pancreatic cancer detection and for biomarker discovery in endocrine and exocrine pancreatic diseases. We developed and evaluated a deep learning...
Female Male Neural Networks, Computer Tomography, X-Ray Computed Early Detection of Cancer Pancreatic Neoplasms Deep Learning Image Processing, Computer-Assisted Humans Pancreas
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Lightweight hybrid transformers-based dyslexia detection using cross-modality data.

Scientific reports May 16, 2025
Early and precise diagnosis of dyslexia is crucial for implementing timely intervention to reduce its effects. Timely identification can improve the individual's academic and cognitive performance. Traditional dyslexia detection (DD) relies on length...
Magnetic Resonance Imaging Electroencephalography Handwriting Dyslexia Neural Networks, Computer Deep Learning Humans
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A monocular endoscopic image depth estimation method based on a window-adaptive asymmetric dual-branch Siamese network.

Scientific reports May 15, 2025
Minimally invasive surgery involves entering the body through small incisions or natural orifices, using a medical endoscope for observation and clinical procedures. However, traditional endoscopic images often suffer from low texture and uneven illu...
Endoscopy Deep Learning Neural Networks, Computer Humans Image Processing, Computer-Assisted Algorithms
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