AIMC Topic: Signal-To-Noise Ratio

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Deep learning-based improved side-channel attacks using data denoising and feature fusion.

PloS one Apr 9, 2025
Deep learning, as a high-performance data analysis method, has demonstrated superior efficiency and accuracy in side-channel attacks compared to traditional methods. However, many existing models enhance accuracy by stacking network layers, leading t...
Algorithms Humans Deep Learning Signal-To-Noise Ratio Neural Networks, Computer
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Wild horseshoe crab image denoising based on CNN-transformer architecture.

Scientific reports Apr 4, 2025
The natural habitats of wild horseshoe crabs (such as beaches, shallow water areas, and intertidal sediments) are complex, posing challenges for image capture, which is often affected by real noise factors. Deep learning models are widely used in ima...
Neural Networks, Computer Image Processing, Computer-Assisted Signal-To-Noise Ratio Horseshoe Crabs Algorithms Animals Deep Learning
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TrustEMG-Net: Using Representation-Masking Transformer With U-Net for Surface Electromyography Enhancement.

IEEE journal of biomedical and health informatics Apr 4, 2025
Surface electromyography (sEMG) is a widely employed bio-signal that captures human muscle activity via electrodes placed on the skin. Several studies have proposed methods to remove sEMG contaminants, as non-invasive measurements render sEMG suscept...
Algorithms Muscle, Skeletal Signal Processing, Computer-Assisted Humans Neural Networks, Computer Electromyography Signal-To-Noise Ratio
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A domain adaptation model for carotid ultrasound: Image harmonization, noise reduction, and impact on cardiovascular risk markers.

Computers in biology and medicine Apr 3, 2025
Deep learning has been used extensively for medical image analysis applications, assuming the training and test data adhere to the same probability distributions. However, a common challenge arises when dealing with medical images generated by differ...
Carotid Arteries Ultrasonography, Carotid Arteries Image Processing, Computer-Assisted Signal-To-Noise Ratio Humans Cardiovascular Diseases Female Deep Learning Male Ultrasonography
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Deep Learning-Based Reconstruction for Accelerated Cervical Spine MRI: Utility in the Evaluation of Myelopathy and Degenerative Diseases.

AJNR. American journal of neuroradiology Apr 2, 2025
BACKGROUND AND PURPOSE: Deep learning (DL)-based reconstruction enables improving the quality of MR images acquired with a short scan time. We aimed to prospectively compare the image quality and diagnostic performance in evaluating cervical degenera...
Cervical Vertebrae Image Interpretation, Computer-Assisted Signal-To-Noise Ratio Middle Aged Deep Learning Magnetic Resonance Imaging Spinal Cord Diseases Prospective Studies Humans Female Aged Adult Sensitivity and Specificity Male
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Semi-supervised spatial-frequency transformer for metal artifact reduction in maxillofacial CT and evaluation with intraoral scan.

European journal of radiology Mar 31, 2025
PURPOSE: To develop a semi-supervised domain adaptation technique for metal artifact reduction with a spatial-frequency transformer (SFTrans) model (Semi-SFTrans), and to quantitatively compare its performance with supervised models (Sup-SFTrans and ...
Radiographic Image Enhancement Radiographic Image Interpretation, Computer-Assisted Artifacts Signal-To-Noise Ratio Female Reproducibility of Results Adult Male Middle Aged Humans Metals Algorithms Tomography, X-Ray Computed
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A review of denoising methods in single-particle cryo-EM.

Micron (Oxford, England : 1993) Mar 29, 2025
Cryo-EM has become a vital technique for resolving macromolecular structures at near-atomic resolution, enabling the visualization of proteins and large molecular complexes. However, the images are often accompanied by extremely low SNR, which poses ...
Deep Learning Imaging, Three-Dimensional Signal-To-Noise Ratio Single Molecule Imaging Cryoelectron Microscopy Image Processing, Computer-Assisted Proteins Macromolecular Substances
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Deep structural brain imaging via computational three-photon microscopy.

Journal of biomedical optics Mar 29, 2025
SIGNIFICANCE: High-resolution optical imaging at significant depths is challenging due to scattering, which impairs image quality in living matter with complex structures. We address the need for improved imaging techniques in deep tissues.
Microscopy, Fluorescence, Multiphoton Brain Hippocampus Animals Imaging, Three-Dimensional Neuroimaging Deep Learning Image Processing, Computer-Assisted Signal-To-Noise Ratio Mice
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Stable heteroclinic channels as a decision-making model: overcoming low signal-to-noise ratio with mutual inhibition.

Bioinspiration & biomimetics Mar 28, 2025
Bio-inspired robot controllers are becoming more complex as we strive to make them more robust to, and flexible in, noisy, real-world environments. A stable heteroclinic network (SHN) is a dynamical system that produces cyclical state transitions usi...
Computer Simulation Animals Robotics Biomimetics Signal-To-Noise Ratio
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Deep learning-based reconstruction for three-dimensional volumetric brain MRI: a qualitative and quantitative assessment.

BMC medical imaging Mar 27, 2025
BACKGROUND: To evaluate the performance of a deep learning reconstruction (DLR) based on Adaptive-Compressed sensing (CS)-Network for brain MRI and validate it in a clinical setting.
Humans Imaging, Three-Dimensional Young Adult Prospective Studies Magnetic Resonance Imaging Adult Middle Aged Signal-To-Noise Ratio Brain Deep Learning Male Female Aged
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