Context-aware network fusing transformer and V-Net for semi-supervised segmentation of 3D left atrium
C Zhao, S Xiang, Y Wang, Z Cai, J Shen, S Zhou… - Expert Systems with …, 2023 - Elsevier
Accurate, robust and automatic segmentation of the left atrium (LA) in magnetic resonance
images (MRI) is of great significance for studying the LA structure and facilitating the …
images (MRI) is of great significance for studying the LA structure and facilitating the …
Computational models of atrial fibrillation: Achievements, challenges, and perspectives for improving clinical care
Despite significant advances in its detection, understanding and management, atrial
fibrillation (AF) remains a highly prevalent cardiac arrhythmia with a major impact on …
fibrillation (AF) remains a highly prevalent cardiac arrhythmia with a major impact on …
A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging
Segmentation of medical images, particularly late gadolinium-enhanced magnetic
resonance imaging (LGE-MRI) used for visualizing diseased atrial structures, is a crucial first …
resonance imaging (LGE-MRI) used for visualizing diseased atrial structures, is a crucial first …
Modeling cardiac muscle fibers in ventricular and atrial electrophysiology simulations
Since myocardial fibers drive the electric signal propagation throughout the myocardium,
accurately modeling their arrangement is essential for simulating heart electrophysiology …
accurately modeling their arrangement is essential for simulating heart electrophysiology …
Robust ECG signal classification for detection of atrial fibrillation using a novel neural network
Electrocardiograms (ECG) provide a non-invasive approach for clinical diagnosis in patients
with cardiac problems, particularly atrial fibrillation (AF). Robust, automatic AF detection in …
with cardiac problems, particularly atrial fibrillation (AF). Robust, automatic AF detection in …
ECG signal classification for the detection of cardiac arrhythmias using a convolutional recurrent neural network
Objective: The electrocardiogram (ECG) provides an effective, non-invasive approach for
clinical diagnosis in patients with cardiac diseases such as atrial fibrillation (AF). AF is the …
clinical diagnosis in patients with cardiac diseases such as atrial fibrillation (AF). AF is the …
Fully automatic left atrium segmentation from late gadolinium enhanced magnetic resonance imaging using a dual fully convolutional neural network
Atrial fibrillation (AF) is the most prevalent form of cardiac arrhythmia. Current treatments for
AF remain suboptimal due to a lack of understanding of the underlying atrial structures that …
AF remain suboptimal due to a lack of understanding of the underlying atrial structures that …
Critical appraisal of technologies to assess electrical activity during atrial fibrillation: A position paper from the European heart rhythm association and European …
We aim to provide a critical appraisal of basic concepts underlying signal recording and
processing technologies applied for (i) atrial fibrillation (AF) mapping to unravel AF …
processing technologies applied for (i) atrial fibrillation (AF) mapping to unravel AF …
Rare truncating variants in the sarcomeric protein titin associate with familial and early-onset atrial fibrillation
A family history of atrial fibrillation constitutes a substantial risk of developing the disease,
however, the pathogenesis of this complex disease is poorly understood. We perform whole …
however, the pathogenesis of this complex disease is poorly understood. We perform whole …
Medical image analysis on left atrial LGE MRI for atrial fibrillation studies: A review
Late gadolinium enhancement magnetic resonance imaging (LGE MRI) is commonly used
to visualize and quantify left atrial (LA) scars. The position and extent of LA scars provide …
to visualize and quantify left atrial (LA) scars. The position and extent of LA scars provide …