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 …
Multi-task deep learning for medical image computing and analysis: A review
The renaissance of deep learning has provided promising solutions to various tasks. While
conventional deep learning models are constructed for a single specific task, multi-task deep …
conventional deep learning models are constructed for a single specific task, multi-task deep …
[HTML][HTML] Deep neural network architectures for cardiac image segmentation
Imaging plays a fundamental role in the effective diagnosis, staging, management, and
monitoring of various cardiac pathologies. Successful radiological analysis relies on …
monitoring of various cardiac pathologies. Successful radiological analysis relies on …
Artificial intelligence (AI)-empowered echocardiography interpretation: a state-of-the-art review
Echocardiography (Echo), a widely available, noninvasive, and portable bedside imaging
tool, is the most frequently used imaging modality in assessing cardiac anatomy and …
tool, is the most frequently used imaging modality in assessing cardiac anatomy and …
Deep-learning-assisted analysis of echocardiographic videos improves predictions of all-cause mortality
Abstract Machine learning promises to assist physicians with predictions of mortality and of
other future clinical events by learning complex patterns from historical data, such as …
other future clinical events by learning complex patterns from historical data, such as …
Real-time automatic ejection fraction and foreshortening detection using deep learning
Volume and ejection fraction (EF) measurements of the left ventricle (LV) in 2-D
echocardiography are associated with a high uncertainty not only due to interobserver …
echocardiography are associated with a high uncertainty not only due to interobserver …
Co-learning of appearance and shape for precise ejection fraction estimation from echocardiographic sequences
Accurate estimation of ejection fraction (EF) from echocardiography is of great importance
for evaluation of cardiac function. It is usually obtained by the Simpson's bi-plane method …
for evaluation of cardiac function. It is usually obtained by the Simpson's bi-plane method …
[HTML][HTML] Artificial intelligence (AI) applications for point of care ultrasound (POCUS) in low-resource settings: a sco** review
Advancements in artificial intelligence (AI) for point-of-care ultrasound (POCUS) have
ushered in new possibilities for medical diagnostics in low-resource settings. This review …
ushered in new possibilities for medical diagnostics in low-resource settings. This review …
K-net: Integrate left ventricle segmentation and direct quantification of paired echo sequence
The integration of segmentation and direct quantification on the left ventricle (LV) from the
paired apical views (ie, apical 4-chamber and 2-chamber together) echo sequence clinically …
paired apical views (ie, apical 4-chamber and 2-chamber together) echo sequence clinically …
Automatic measurements of left ventricular volumes and ejection fraction by artificial intelligence: clinical validation in real time and large databases
Aims Echocardiography is a cornerstone in cardiac imaging, and left ventricular (LV)
ejection fraction (EF) is a key parameter for patient management. Recent advances in …
ejection fraction (EF) is a key parameter for patient management. Recent advances in …