AIMC Topic: Heart Atria
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RACE-Net: A Recurrent Neural Network for Biomedical Image Segmentation.
IEEE journal of biomedical and health informatics
Jul 3, 2018
The level set based deformable models (LDM) are commonly used for medical image segmentation. However, they rely on a handcrafted curve evolution velocity that needs to be adapted for each segmentation task. The Convolutional Neural Networks (CNN) ad...
Effects of Transcatheter Mitral Valve Repair With MitraClip on Left Ventricular and Atrial Hemodynamic Load and Myocardial Wall Stress.
Journal of cardiac failure
Dec 29, 2017
AIMS: To evaluate the effects of MitraClip on left ventricular (LV) and left atrial (LA) myocardial wall stress as assessed with the use of N-terminal pro-B-type natriuretic peptide (NT-proBNP) and strain imaging.
Semi-supervised clustering of fractionated electrograms for electroanatomical atrial mapping.
Biomedical engineering online
Apr 26, 2016
BACKGROUND: Electrogram-guided ablation procedures have been proposed as an alternative strategy consisting of either mapping and ablating focal sources or targeting complex fractionated electrograms in atrial fibrillation (AF). However, the incomple...
Experience matters: long-term results of pulmonary vein isolation using a robotic navigation system for the treatment of paroxysmal atrial fibrillation.
Clinical research in cardiology : official journal of the German Cardiac Society
Jul 22, 2015
BACKGROUND: Long-term results after circumferential pulmonary vein isolation (CPVI) for the treatment of paroxysmal atrial fibrillation (PAF) using a robotic navigation system (RNS) have not yet been reported.
Robotic ablation of atrial fibrillation.
Journal of visualized experiments : JoVE
May 29, 2015
BACKGROUND: Pulmonary vein isolation (PVI) is an established treatment for atrial fibrillation (AF). During PVI an electrical conduction block between pulmonary vein (PV) and left atrium (LA) is created. This conduction block prevents AF, which is tr...
Discrimination between RA and LA Sinus Rhythms using machine learning approach.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2024
Atrial fibrillation (AF) is a common cardiac disease that potentially leads to fatal conditions. Machine Learning (ML) classification methods are widely used to distinguish between sinus rhythm and AF for post-ablation rhythms in ECG. However, intrac...
Deep learning estimation of three-dimensional left atrial shape from two-chamber and four-chamber cardiac long axis views.
European heart journal. Cardiovascular Imaging
Apr 24, 2023
AIMS: Left atrial volume is commonly estimated using the bi-plane area-length method from two-chamber (2CH) and four-chamber (4CH) long axes views. However, this can be inaccurate due to a violation of geometric assumptions. We aimed to develop a dee...
Cardiac CTA image quality of adaptive statistical iterative reconstruction-V versus deep learning reconstruction "TrueFidelity" in children with congenital heart disease.
Medicine
Oct 21, 2022
BACKGROUND: Several recent studies have reported that deep learning reconstruction "TrueFidelity" (TF) improves computed tomography (CT) image quality. However, no study has compared adaptive statistical repeated reconstruction (ASIR-V) using TF in p...
Robotic excision of gigantic left atrial myxoma.
European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery
Sep 2, 2022
Segmentation of left atrium using CT images and a deep learning model.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2022
The left atrium (LA) is one of the cardiac cavities with the most complex anatomical structures. Its role in the clinical diagnosis and patient's management is critical, as it is responsible for the atrial fibrillation, a condition that promotes the ...
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