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 …
Recent advances in fibrosis and scar segmentation from cardiac MRI: a state-of-the-art review and future perspectives
Segmentation of cardiac fibrosis and scars is essential for clinical diagnosis and can provide
invaluable guidance for the treatment of cardiac diseases. Late Gadolinium enhancement …
invaluable guidance for the treatment of cardiac diseases. Late Gadolinium enhancement …
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 …
LA-Net: A multi-task deep network for the segmentation of the left atrium
Although atrial fibrillation (AF) is the most common sustained atrial arrhythmia, treatment
success for this condition remains suboptimal. Information from magnetic resonance …
success for this condition remains suboptimal. Information from magnetic resonance …
Few-shot learning by a cascaded framework with shape-constrained pseudo label assessment for whole heart segmentation
Automatic and accurate 3D cardiac image segmentation plays a crucial role in cardiac
disease diagnosis and treatment. Even though CNN based techniques have achieved great …
disease diagnosis and treatment. Even though CNN based techniques have achieved great …
AtrialJSQnet: a new framework for joint segmentation and quantification of left atrium and scars incorporating spatial and shape information
Left atrial (LA) and atrial scar segmentation from late gadolinium enhanced magnetic
resonance imaging (LGE MRI) is an important task in clinical practice. The automatic …
resonance imaging (LGE MRI) is an important task in clinical practice. The automatic …
TMS-Net: A segmentation network coupled with a run-time quality control method for robust cardiac image segmentation
F Uslu, AA Bharath - Computers in Biology and Medicine, 2023 - Elsevier
Recently, deep networks have shown impressive performance for the segmentation of
cardiac Magnetic Resonance Imaging (MRI) images. However, their achievement is proving …
cardiac Magnetic Resonance Imaging (MRI) images. However, their achievement is proving …
Attention-guided residual W-Net for supervised cardiac magnetic resonance imaging segmentation
Objective With latest developments in deep learning approaches, automated, accurate, fast,
and generalized segmentation model for left atrium, left ventricle, right ventricle, and …
and generalized segmentation model for left atrium, left ventricle, right ventricle, and …
Overview of the whole heart and heart chamber segmentation methods
Background Preservation and improvement of heart and vessel health is the primary
motivation behind cardiovascular disease (CVD) research. Development of advanced …
motivation behind cardiovascular disease (CVD) research. Development of advanced …
Mini review: Deep learning for atrial segmentation from late gadolinium-enhanced MRIs
Segmentation and 3D reconstruction of the human atria is of crucial importance for precise
diagnosis and treatment of atrial fibrillation, the most common cardiac arrhythmia. However …
diagnosis and treatment of atrial fibrillation, the most common cardiac arrhythmia. However …