Cardiovascular care with digital twin technology in the era of generative artificial intelligence
Digital twins, which are in silico replications of an individual and its environment, have
advanced clinical decision-making and prognostication in cardiovascular medicine. The …
advanced clinical decision-making and prognostication in cardiovascular medicine. The …
[HTML][HTML] Personalized topology-informed localization of standard 12-lead ECG electrode placement from incomplete cardiac MRIs for efficient cardiac digital twins
Cardiac digital twins (CDTs) offer personalized in-silico cardiac representations for the
inference of multi-scale properties tied to cardiac mechanisms. The creation of CDTs …
inference of multi-scale properties tied to cardiac mechanisms. The creation of CDTs …
Solving the Inverse Problem of Electrocardiography for Cardiac Digital Twins: A Survey
Cardiac digital twins are personalized virtual representations used to understand complex
heart mechanisms. Solving the ECG inverse problem is crucial for accurate virtual heart …
heart mechanisms. Solving the ECG inverse problem is crucial for accurate virtual heart …
Contrast-Free Myocardial Scar Segmentation in Cine MRI using Motion and Texture Fusion
Late gadolinium enhancement MRI (LGE MRI) is the gold standard for the detection of
myocardial scars for post myocardial infarction (MI). LGE MRI requires the injection of a …
myocardial scars for post myocardial infarction (MI). LGE MRI requires the injection of a …
Clinical phenotypes in acute and chronic infarction explained through human ventricular electromechanical modelling and simulations
Sudden death after myocardial infarction (MI) is associated with electrophysiological
heterogeneities and ionic current remodelling. Low ejection fraction (EF) is used in risk …
heterogeneities and ionic current remodelling. Low ejection fraction (EF) is used in risk …
Modelling multi-phase cardiac anatomy using point cloud variational autoencoders
The dynamic behaviour of the cardiac anatomy has a considerable impact on cardiac
function and disease progression. Geometric deep learning methods have shown promising …
function and disease progression. Geometric deep learning methods have shown promising …
Multimodal Variational Autoencoder for Low-Cost Cardiac Hemodynamics Instability Detection
Recent advancements in non-invasive detection of cardiac hemodynamic instability (CHDI)
primarily focus on applying machine learning techniques to a single data modality, eg …
primarily focus on applying machine learning techniques to a single data modality, eg …
Personalized topology-informed 12-lead ECG electrode localization from incomplete cardiac MRIs for efficient cardiac digital twins
Cardiac digital twins (CDTs) offer personalized\textit {in-silico} cardiac representations for
the inference of multi-scale properties tied to cardiac mechanisms. The creation of CDTs …
the inference of multi-scale properties tied to cardiac mechanisms. The creation of CDTs …