AIMC Topic: Arteries

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Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT.

IEEE transactions on medical imaging Jun 1, 2021
Training convolutional neural networks (CNNs) for segmentation of pulmonary airway, artery, and vein is challenging due to sparse supervisory signals caused by the severe class imbalance between tubular targets and background. We present a CNNs-based...
Lung Image Processing, Computer-Assisted Arteries Neural Networks, Computer Tomography, X-Ray Computed
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Convolutional Neural Network Ensemble Segmentation With Ratio-Based Sampling for the Arteries and Veins in Abdominal CT Scans.

IEEE transactions on bio-medical engineering Apr 21, 2021
OBJECTIVE: Three-dimensional (3D) blood vessel structure information is important for diagnosis and treatment in various clinical scenarios. We present a fully automatic method for the extraction and differentiation of the arterial and venous vessel ...
Tomography, X-Ray Computed Image Processing, Computer-Assisted Abdomen Humans Neural Networks, Computer Arteries
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SSCA-Net: Simultaneous Self- and Channel-Attention Neural Network for Multiscale Structure-Preserving Vessel Segmentation.

BioMed research international Mar 30, 2021
Vessel segmentation is a fundamental, yet not well-solved problem in medical image analysis, due to the complicated geometrical and topological structures of human vessels. Unlike existing rule- and conventional learning-based techniques, which hardl...
Humans Neural Networks, Computer Algorithms Deep Learning Leg Image Processing, Computer-Assisted Arteries Databases as Topic Blood Vessels
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Automated Histological Segmentation on Micro Computed Tomography Images of Atherosclerotic Arteries.

European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery Feb 13, 2021
Reproducibility of Results Peripheral Arterial Disease Predictive Value of Tests Humans Artificial Intelligence Plaque, Atherosclerotic Computed Tomography Angiography Arteries Radiographic Image Interpretation, Computer-Assisted Feasibility Studies Automation X-Ray Microtomography
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Detection of arterial pressure waveform error using machine learning trained algorithms.

Journal of clinical monitoring and computing Feb 1, 2021
In critically ill and high-risk surgical room patients, an invasive arterial catheter is often inserted to continuously measure arterial pressure (AP). The arterial waveform pressure measurement, however, may be compromised by damping or inappropriat...
Adult Heart Rate Humans Machine Learning Middle Aged Arterial Pressure Algorithms Arteries Aged
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Vascular Aging Detected by Peripheral Endothelial Dysfunction Is Associated With ECG-Derived Physiological Aging.

Journal of the American Heart Association Jan 17, 2021
Background An artificial intelligence algorithm that detects age using the 12-lead ECG has been suggested to signal "physiologic age." This study aimed to investigate the association of peripheral microvascular endothelial function (PMEF) as an index...
Peripheral Arterial Disease Vasodilation Endothelium, Vascular Arteries Microvessels Middle Aged Electrocardiography Follow-Up Studies Male Aging Female Humans Risk Factors Artificial Intelligence Cross-Sectional Studies Retrospective Studies
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The 2020 SVM/SVU Consensus Statement for the Interpretation of Peripheral Arterial and Venous Doppler Waveforms: An interview with SVM members of the Writing Committee.

Vascular medicine (London, England) Dec 29, 2020
Arteries Humans Writing Consensus Support Vector Machine Veins
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Ultrashort echo time time-spatial labeling inversion pulse magnetic resonance angiography with denoising deep learning reconstruction for the assessment of abdominal visceral arteries.

Journal of magnetic resonance imaging : JMRI Dec 26, 2020
Current contrast-enhanced magnetic resonance angiography (MRA) and non-contrast-enhanced balanced steady-state free precession (bSSFP) MRA cause susceptibility artifacts from metallic devices in assessing endovascular visceral-artery interventions. T...
Prospective Studies Male Magnetic Resonance Angiography Deep Learning Imaging, Three-Dimensional Arteries Humans Magnetic Resonance Imaging Artifacts
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Editorial for "Ultrashort echo time time-spatial labeling inversion pulse magnetic resonance angiography with denoising deep learning reconstruction for the assessment of abdominal visceral arteries".

Journal of magnetic resonance imaging : JMRI Dec 26, 2020
Arteries Abdomen Magnetic Resonance Imaging Magnetic Resonance Angiography Deep Learning Imaging, Three-Dimensional Humans
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A new deep learning method for displacement tracking from ultrasound RF signals of vascular walls.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Nov 24, 2020
It is necessary to monitor the mechanical properties of arteries which directly related to cardiovascular diseases (CVDs) in the early stages. In this study, we proposed a new method based on deep learning (DL) to track the displacement of the vessel...
Ultrasonography Computer Simulation Arteries Deep Learning Radio Waves
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