AIMC Topic: Ultrasonography, Doppler

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Deep Learning-Based Venous Gas Emboli Grade Classification in Doppler Ultrasound Audio Recordings.

IEEE transactions on bio-medical engineering Apr 20, 2023
OBJECTIVE: Doppler ultrasound (DU) is used to detect venous gas emboli (VGE) post dive as a marker of decompression stress for diving physiology research as well as new decompression procedure validation to minimize decompression sickness risk. In th...
Embolism, Air Sound Recordings Decompression Sickness Humans Deep Learning Ultrasonography, Doppler
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Exploration of Effective Time-Velocity Distribution for Doppler-Radar-Based Personal Gait Identification Using Deep Learning.

Sensors (Basel, Switzerland) Jan 5, 2023
Personal identification based on radar gait measurement is an important application of biometric technology because it enables remote and continuous identification of people, irrespective of the lighting conditions and subjects' outfits. This study e...
Ultrasonography, Doppler Humans Fourier Analysis Deep Learning Radar Gait
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Non-Contact Vibro-Acoustic Object Recognition Using Laser Doppler Vibrometry and Convolutional Neural Networks.

Sensors (Basel, Switzerland) Dec 1, 2022
Laser Doppler vibrometers (LDVs) have been widely adopted due to their large number of benefits in comparison to traditional contacting vibration transducers. Their high sensitivity, among other unique characteristics, has also led to their use as op...
Neural Networks, Computer Acoustics Lasers Ultrasonography, Doppler Angiography
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Quantifying Valve Regurgitation Using 3-D Doppler Ultrasound Images and Deep Learning.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Nov 24, 2022
Accurate quantification of cardiac valve regurgitation jets is fundamental for guiding treatment. Cardiac ultrasound is the preferred diagnostic tool, but current methods for measuring the regurgitant volume (RVol) are limited by low accuracy and hig...
Aortic Valve Insufficiency Ultrasonography, Doppler Blood Flow Velocity Ultrasonography Imaging, Three-Dimensional Echocardiography Hemodynamics Deep Learning Humans
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Dual-Scale Doppler Attention for Human Identification.

Sensors (Basel, Switzerland) Aug 24, 2022
This paper considers a Deep Convolutional Neural Network (DCNN) with an attention mechanism referred to as Dual-Scale Doppler Attention (DSDA) for human identification given a micro-Doppler (MD) signature induced as input. The MD signature includes u...
Female Male Gait Humans Neural Networks, Computer Ultrasonography, Doppler Forensic Anthropology
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Pedestrian and Animal Recognition Using Doppler Radar Signature and Deep Learning.

Sensors (Basel, Switzerland) May 1, 2022
Pedestrian occurrences in images and videos must be accurately recognized in a number of applications that may improve the quality of human life. Radar can be used to identify pedestrians. When distinct portions of an object move in front of a radar,...
Animals Deep Learning Pedestrians Ultrasonography, Doppler Radar Humans Neural Networks, Computer
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Space Target Classification Improvement by Generating Micro-Doppler Signatures Considering Incident Angle.

Sensors (Basel, Switzerland) Feb 20, 2022
Classifying space targets from debris is critical for radar resource management as well as rapid response during the mid-course phase of space target flight. Due to advances in deep learning techniques, various approaches have been studied to classif...
Neural Networks, Computer Ultrasonography, Doppler Space Flight Bone Plates Radar
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Effects of age, gender, and hemisphere on cerebrovascular hemodynamics in children and young adults: Developmental scores and machine learning classifiers.

PloS one Feb 4, 2022
A constant blood supply to the brain is required for mental function. Research with Doppler ultrasonography has important clinical value and burgeoning potential with machine learning applications in studies predicting gestational age and vascular ag...
Female Young Adult Adult Male Aging Hemodynamics Humans Machine Learning Brain Ultrasonography, Doppler Blood Flow Velocity Cerebrovascular Circulation Middle Cerebral Artery Age Factors Regression Analysis Sex Factors Adolescent Child
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Establishing a carotid artery stenosis disease cohort for comparative effectiveness research using natural language processing.

Journal of vascular surgery Jun 25, 2021
OBJECTIVE: Investigation of asymptomatic carotid stenosis treatment is hindered by the lack of a contemporary population-based disease cohort. We describe the use of natural language processing (NLP) to identify stenosis in patients undergoing caroti...
Medical Records Asymptomatic Diseases Computed Tomography Angiography International Classification of Diseases Magnetic Resonance Angiography Carotid Stenosis Comparative Effectiveness Research Predictive Value of Tests Natural Language Processing Data Mining Ultrasonography, Doppler California Cross-Sectional Studies Severity of Illness Index Hemodynamics Humans Retrospective Studies
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Multi-Parametric Fusion of 3D Power Doppler Ultrasound for Fetal Kidney Segmentation Using Fully Convolutional Neural Networks.

IEEE journal of biomedical and health informatics Jun 3, 2021
Kidney development is key to the long-term health of the fetus. Renal volume and vascularity assessed by 3D ultrasound (3D-US) are known markers of wellbeing, however, a lack of real-time image segmentation solutions preclude these measures being use...
Kidney Ultrasonography, Doppler Neural Networks, Computer Humans Reproducibility of Results Image Processing, Computer-Assisted
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