Learning with limited annotations: a survey on deep semi-supervised learning for medical image segmentation
Medical image segmentation is a fundamental and critical step in many image-guided
clinical approaches. Recent success of deep learning-based segmentation methods usually …
clinical approaches. Recent success of deep learning-based segmentation methods usually …
Deep learning for cardiac image segmentation: a review
Deep learning has become the most widely used approach for cardiac image segmentation
in recent years. In this paper, we provide a review of over 100 cardiac image segmentation …
in recent years. In this paper, we provide a review of over 100 cardiac image segmentation …
Universeg: Universal medical image segmentation
While deep learning models have become the predominant method for medical image
segmentation, they are typically not capable of generalizing to unseen segmentation tasks …
segmentation, they are typically not capable of generalizing to unseen segmentation tasks …
2017 HRS/EHRA/ECAS/APHRS/SOLAECE expert consensus statement on catheter and surgical ablation of atrial fibrillation
AFL atrial flutter AH arterial hypertension ANS autonomic nervous system APD action
potential duration ARREST-AF Aggressive Risk Factor Reduction Study for Atrial Fibrillation …
potential duration ARREST-AF Aggressive Risk Factor Reduction Study for Atrial Fibrillation …
[HTML][HTML] Evaluation of algorithms for multi-modality whole heart segmentation: an open-access grand challenge
Abstract Knowledge of whole heart anatomy is a prerequisite for many clinical applications.
Whole heart segmentation (WHS), which delineates substructures of the heart, can be very …
Whole heart segmentation (WHS), which delineates substructures of the heart, can be very …
Pulsed field ablation prevents chronic atrial fibrotic changes and restrictive mechanics after catheter ablation for atrial fibrillation
Y Nakatani, S Sridi-Cheniti, G Cheniti… - EP …, 2021 - academic.oup.com
Aims Pulsed field ablation (PFA), a non-thermal ablative modality, may show different effects
on the myocardial tissue compared to thermal ablation. Thus, this study aimed to compare …
on the myocardial tissue compared to thermal ablation. Thus, this study aimed to compare …
Fully automatic left atrium segmentation from late gadolinium enhanced magnetic resonance imaging using a dual fully convolutional neural network
Z ** systems for tachycardia developed in collaboration with HRS, EHRA, and LAHRS
Abbreviations: 3D, three-dimensional; AF, atrial fibrillation; AP, accessory pathway; ARVC,
arrhythmogenic right ventricular cardiomyopathy; AT, atrial tachycardia; AVB, atrioventricular …
arrhythmogenic right ventricular cardiomyopathy; AT, atrial tachycardia; AVB, atrioventricular …
Novel mechanisms in the pathogenesis of atrial fibrillation: practical applications
Intensive research over the last few decades has seen significant advances in our
understanding of the complex mechanisms underlying atrial fibrillation (AF). The epidemic of …
understanding of the complex mechanisms underlying atrial fibrillation (AF). The epidemic of …
JAS-GAN: generative adversarial network based joint atrium and scar segmentations on unbalanced atrial targets
Automated and accurate segmentations of left atrium (LA) and atrial scars from late
gadolinium-enhanced cardiac magnetic resonance (LGE CMR) images are in high demand …
gadolinium-enhanced cardiac magnetic resonance (LGE CMR) images are in high demand …