AIMC Topic: Radio Waves

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Power absorption and temperature rise in deep learning based head models for local radiofrequency exposures.

Physics in medicine and biology Mar 11, 2025
Computational uncertainty and variability of power absorption and temperature rise in humans for radiofrequency (RF) exposure is a critical factor in ensuring human protection. This aspect has been emphasized as a priority. However, accurately modeli...
Humans Temperature Deep Learning Radiation Exposure Absorption, Radiation Radio Waves Magnetic Resonance Imaging Head Radiometry
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Rapid detection of poultry meat quality using S-band to KU-band radio-frequency waves combined with machine learning-A proof of concept.

Journal of food science Nov 26, 2024
Rapid changes in consumer preferences for high-quality animal-based protein have driven the poultry industry to identify non-invasive, in-line processing technologies for rapid detection of muscle meat quality defects. At production plants, technolog...
Food Handling Muscular Diseases Radio Waves Support Vector Machine Meat Machine Learning Animals Chickens
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RF sensing enabled tracking of human facial expressions using machine learning algorithms.

Scientific reports Nov 13, 2024
Automatic analysis of facial expressions has emerged as a prominent research area in the past decade. Facial expressions serve as crucial indicators for understanding human behavior, enabling the identification and assessment of positive and negative...
Female Adult Male Humans Machine Learning Algorithms Facial Expression Radio Waves Emotions Automated Facial Recognition
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Deep learning corrects artifacts in RASER MRI profiles.

Magnetic resonance imaging Oct 24, 2024
A newly developed magnetic resonance imaging (MRI) approach is based on "Radiowave amplification by the stimulated emission of radiation" (RASER). RASER MRI potentially allows for higher resolution, is inherently background-free, and does not require...
Artifacts Phantoms, Imaging Neural Networks, Computer Radio Waves Humans Algorithms Deep Learning Brain Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Ultrasonic Assessment of Liver Fibrosis Using One-Dimensional Convolutional Neural Networks Based on Frequency Spectra of Radiofrequency Signals with Deep Learning Segmentation of Liver Regions in B-Mode Images: A Feasibility Study.

Sensors (Basel, Switzerland) Aug 26, 2024
The early detection of liver fibrosis is of significant importance. Deep learning analysis of ultrasound backscattered radiofrequency (RF) signals is emerging for tissue characterization as the RF signals carry abundant information related to tissue ...
Neural Networks, Computer Female Aged Adult Male Middle Aged Humans Feasibility Studies Radio Waves Image Processing, Computer-Assisted Deep Learning Ultrasonography Liver Cirrhosis Liver
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Computer-Aided Classification of Breast Lesions Based on US RF Time Series Using a Novel Machine Learning Approach.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Aug 14, 2024
OBJECTIVES: One of the most promising adjuncts for screening breast cancer is ultrasound (US) radio-frequency (RF) time series. It has the superiority of not requiring any supplementary equipment over other methods. This research aimed to propound a ...
Breast Image Interpretation, Computer-Assisted Radio Waves Humans Breast Neoplasms Aged Middle Aged Adult Machine Learning Ultrasonography, Mammary Female Reproducibility of Results
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Robust EMI elimination for RF shielding-free MRI through deep learning direct MR signal prediction.

Magnetic resonance in medicine Feb 20, 2024
PURPOSE: To develop a new electromagnetic interference (EMI) elimination strategy for RF shielding-free MRI via active EMI sensing and deep learning direct MR signal prediction (Deep-DSP).
Electromagnetic Fields Radio Waves Signal Processing, Computer-Assisted Phantoms, Imaging Deep Learning Humans Image Processing, Computer-Assisted Algorithms Magnetic Resonance Imaging Brain
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Electromagnetic interference elimination via active sensing and deep learning prediction for radiofrequency shielding-free MRI.

NMR in biomedicine May 28, 2023
At present, MRI scans are typically performed inside fully enclosed radiofrequency (RF) shielding rooms, posing stringent installation requirements and causing patient discomfort. We aim to eliminate electromagnetic interference (EMI) for MRI with no...
Phantoms, Imaging Electromagnetic Fields Radio Waves Magnetic Resonance Imaging Signal-To-Noise Ratio Humans Deep Learning
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Enhancing System Performance through Objective Feature Scoring of Multiple Persons' Breathing Using Non-Contact RF Approach.

Sensors (Basel, Switzerland) Jan 21, 2023
Breathing monitoring is an efficient way of human health sensing and predicting numerous diseases. Various contact and non-contact-based methods are discussed in the literature for breathing monitoring. Radio frequency (RF)-based breathing monitoring...
Algorithms Radio Waves Monitoring, Physiologic Humans Respiration Machine Learning
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GMLM-CNN: A Hybrid Solution to SWIR-VIS Face Verification with Limited Imagery.

Sensors (Basel, Switzerland) Dec 5, 2022
Cross-spectral face verification between short-wave infrared (SWIR) and visible light (VIS) face images poses a challenge, which is motivated by various real-world applications such as surveillance at night time or in harsh environments. This paper p...
Radio Waves Neural Networks, Computer Hand
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