AIMC Topic: Signal-To-Noise Ratio

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A multi-domain collaborative denoising bearing fault diagnosis model based on dynamic inter-domain attention mechanism and noise-aware loss function.

PloS one Jun 26, 2025
Rolling bearings are the core transmission components of large-scale rotating machinery such as wind power gearboxes and aviation engines, so timely and effective monitoring and diagnosis of their status are crucial to ensure the stable operation of ...
Models, Theoretical Noise Signal-To-Noise Ratio Humans Algorithms Deep Learning
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Recognition of common shortwave protocols and their subcarrier modulations based on multi-scale convolutional GRU.

PloS one Jun 24, 2025
Shortwave communication plays a vital role in disaster relief and remote communications due to its long-range capabilities and resilience to interference. However, challenges such as multipath propagation, frequency-selective fading, and low signal-t...
Deep Learning Signal Processing, Computer-Assisted Signal-To-Noise Ratio Humans Algorithms
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MRI super-resolution reconstruction using efficient diffusion probabilistic model with residual shifting.

Physics in medicine and biology Jun 16, 2025
Magnetic resonance imaging (MRI) is essential in clinical and research contexts, providing exceptional soft-tissue contrast. However, prolonged acquisition times often lead to patient discomfort and motion artifacts. Diffusion-based deep learning sup...
Signal-To-Noise Ratio Deep Learning Image Processing, Computer-Assisted Humans Models, Statistical Brain Magnetic Resonance Imaging Prostate Male Diffusion
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Adaptive network steganography using deep learning and multimedia video analysis for enhanced security and fidelity.

PloS one Jun 5, 2025
This study presents an advanced adaptive network steganography paradigm that integrates deep learning methodologies with multimedia video analysis to enhance the universality and security of network steganography practices. The proposed approach util...
Humans Neural Networks, Computer Algorithms Deep Learning Computer Security Image Processing, Computer-Assisted Multimedia Video Recording Signal-To-Noise Ratio
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Ultra-High-Resolution Photon-Counting-Detector CT with a Dedicated Denoising Convolutional Neural Network for Enhanced Temporal Bone Imaging.

AJNR. American journal of neuroradiology Jun 3, 2025
BACKGROUND AND PURPOSE: Ultra-high-resolution (UHR) photon-counting-detector (PCD) CT improves image resolution but increases noise, necessitating the use of smoother reconstruction kernels that reduce resolution below the 0.125-mm maximum spatial re...
Tomography, X-Ray Computed Convolutional Neural Networks Radiographic Image Interpretation, Computer-Assisted Signal-To-Noise Ratio Photons Temporal Bone Humans Neural Networks, Computer
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Feasibility study of a general model for synthetic CT generation in MRI-guided extracranial radiotherapy.

Biomedical physics & engineering express May 19, 2025
This study aims to investigate the feasibility of a single general model to synthesize CT images across body sites, thorax, abdomen, and pelvis, to support treatment planning for MRI-only radiotherapy. A total of 157 patients who received MRI-guided ...
Female Male Middle Aged Humans Algorithms Tomography, X-Ray Computed Pelvis Feasibility Studies Radiotherapy Planning, Computer-Assisted Image Processing, Computer-Assisted Abdomen Magnetic Resonance Imaging Signal-To-Noise Ratio Thorax Radiotherapy, Image-Guided
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Improving lower-extremity artery depiction and diagnostic confidence using dual-energy technique and popliteal artery monitoring in dual-low dose CT angiography.

Scientific reports May 9, 2025
To assess the utility of dual-energy CT scanning (DECTs) with popliteal artery (PA) monitoring in dual low-dose (radiation and contrast) lower-extremity CT angiography (LE-CTA). 135 patients undergoing LE-CTA were prospectively included and divided i...
Popliteal Artery Adult Female Contrast Media Radiation Dosage Humans Aged Lower Extremity Signal-To-Noise Ratio Prospective Studies Aged, 80 and over Peripheral Arterial Disease Computed Tomography Angiography Male Middle Aged
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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...
Imagination Signal-To-Noise Ratio Movement Neural Networks, Computer Algorithms Deep Learning Humans Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces
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Model-Based Convolution Neural Network for 3D Near-Infrared Spectral Tomography.

IEEE transactions on medical imaging May 2, 2025
Near-infrared spectral tomography (NIRST) is a non-invasive imaging technique that provides functional information about biological tissues. Due to diffuse light propagation in tissue and limited boundary measurements, NIRST image reconstruction pres...
Signal-To-Noise Ratio Phantoms, Imaging Algorithms Spectroscopy, Near-Infrared Imaging, Three-Dimensional Humans Neural Networks, Computer
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Artifact estimation network for MR images: effectiveness of batch normalization and dropout layers.

BMC medical imaging May 1, 2025
BACKGROUND: Magnetic resonance imaging (MRI) is an essential tool for medical diagnosis. However, artifacts may degrade images obtained through MRI, especially owing to patient movement. Existing methods that mitigate the artifact problem are subject...
Signal-To-Noise Ratio Humans Algorithms Magnetic Resonance Imaging Motion Artifacts Brain Deep Learning Image Processing, Computer-Assisted
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