AIMC Topic: Heart Atria

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Machine Learning-Derived Fractal Features of Shape and Texture of the Left Atrium and Pulmonary Veins From Cardiac Computed Tomography Scans Are Associated With Risk of Recurrence of Atrial Fibrillation Postablation.

Circulation. Arrhythmia and electrophysiology Feb 12, 2021
[Figure: see text].
Treatment Outcome Action Potentials Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Risk Factors Male Middle Aged Risk Assessment Recurrence Atrial Function, Left Fractals Pulmonary Veins Atrial Fibrillation Heart Atria Heart Rate Catheter Ablation Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Female
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Integrative transcriptomic, proteomic, and machine learning approach to identifying feature genes of atrial fibrillation using atrial samples from patients with valvular heart disease.

BMC cardiovascular disorders Jan 28, 2021
BACKGROUND: Atrial fibrillation (AF) is the most common arrhythmia with poorly understood mechanisms. We aimed to investigate the biological mechanism of AF and to discover feature genes by analyzing multi-omics data and by applying a machine learnin...
Humans Gene Expression Profiling Transcriptome Case-Control Studies Protein Interaction Maps Machine Learning Female Male Middle Aged Heart Atria Heart Valve Diseases Oligonucleotide Array Sequence Analysis Signal Transduction Databases, Genetic Bayes Theorem Atrial Fibrillation Gene Regulatory Networks Genetic Association Studies Proteomics
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Fully Automatic Atrial Fibrosis Assessment Using a Multilabel Convolutional Neural Network.

Circulation. Cardiovascular imaging Dec 15, 2020
BACKGROUND: Pathological atrial fibrosis is a major contributor to sustained atrial fibrillation. Currently, late gadolinium enhancement (LGE) scans provide the only noninvasive estimate of atrial fibrosis. However, widespread adoption of atrial LGE ...
Observer Variation Automation Organometallic Compounds Fibrosis Heart Atria Heart Diseases Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Reproducibility of Results Contrast Media Magnetic Resonance Imaging Predictive Value of Tests
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Fully automated left atrium segmentation from anatomical cine long-axis MRI sequences using deep convolutional neural network with unscented Kalman filter.

Medical image analysis Nov 26, 2020
This study proposes a fully automated approach for the left atrial segmentation from routine cine long-axis cardiac magnetic resonance image sequences using deep convolutional neural networks and Bayesian filtering. The proposed approach consists of ...
Bayes Theorem Heart Atria Neural Networks, Computer Retrospective Studies Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans
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Automatic segmentation of multiple cardiovascular structures from cardiac computed tomography angiography images using deep learning.

PloS one May 6, 2020
OBJECTIVES: To develop, demonstrate and evaluate an automated deep learning method for multiple cardiovascular structure segmentation.
Middle Aged Deep Learning Heart Heart Ventricles Heart Atria Coronary Vessels Computed Tomography Angiography Humans Female Aged Male
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Automated extraction of left atrial volumes from two-dimensional computer tomography images using a deep learning technique.

International journal of cardiology Apr 11, 2020
BACKGROUND: Precise segmentation of the left atrium (LA) in computed tomography (CT) images constitutes a crucial preparatory step for catheter ablation in atrial fibrillation (AF). We aim to apply deep convolutional neural networks (DCNNs) to automa...
Catheter Ablation Atrial Appendage Humans Computers Tomography, X-Ray Computed Deep Learning Atrial Fibrillation Heart Atria
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Segmentation and visualization of left atrium through a unified deep learning framework.

International journal of computer assisted radiology and surgery Feb 26, 2020
PURPOSE: Left atrium segmentation and visualization serve as a fundamental and crucial role in clinical analysis and understanding of atrial fibrillation. However, most of the existing methods are directly transmitting information, which may cause re...
Atrial Fibrillation Heart Atria Humans Deep Learning Imaging, Three-Dimensional
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A Catheter-Deployable Soft Robotic Inflatable Basket for Enhanced Conformability to the Left Atrium of the Heart.

Advanced healthcare materials Jan 16, 2020
This paper presents the design, fabrication, and test results for a novel basket catheter that utilizes soft robotic technology, which can conform to complex patient anatomy. Two designs of basket-shaped balloons in three sizes are fabricated based o...
Humans Catheters Robotics Atrial Fibrillation Heart Atria Catheter Ablation
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Atrial scar quantification via multi-scale CNN in the graph-cuts framework.

Medical image analysis Nov 16, 2019
Late gadolinium enhancement magnetic resonance imaging (LGE MRI) appears to be a promising alternative for scar assessment in patients with atrial fibrillation (AF). Automating the quantification and analysis of atrial scars can be challenging due to...
Contrast Media Magnetic Resonance Imaging Cicatrix Atrial Fibrillation Heart Atria Catheter Ablation Pulmonary Veins Humans Neural Networks, Computer Image Processing, Computer-Assisted
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Comparisons of efficacy, safety, and recurrence risk factors of paroxysmal and persistent atrial fibrillation catheter ablation using robotic magnetic navigation system.

Clinical cardiology Mar 15, 2019
BACKGROUND: No data exist on comparisons of efficacy, safety, and recurrence risk factors of paroxysmal and persistent atrial fibrillation (AF) ablation using robotic magnetic navigation system (MNS), respectively.
Heart Atria Heart Rate Catheter Ablation Recurrence Equipment Design Surgery, Computer-Assisted Heart Conduction System Atrial Fibrillation Adult Pulmonary Veins Female Male Risk Factors Echocardiography Adolescent Aged Middle Aged Treatment Outcome Young Adult Humans Follow-Up Studies Prospective Studies Robotics Tomography, X-Ray Computed
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