Leveraging 3D atrial geometry for the evaluation of atrial fibrillation: a comprehensive review

AJ Sharp, TR Betts, A Banerjee - Journal of Clinical Medicine, 2024 - pmc.ncbi.nlm.nih.gov
Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia associated with
significant morbidity and mortality. Managing risk of stroke and AF burden are pillars of AF …

[HTML][HTML] Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images

M Beetz, A Banerjee, J Ossenberg-Engels… - Medical Image Analysis, 2023 - Elsevier
Cine magnetic resonance imaging (MRI) is the current gold standard for the assessment of
cardiac anatomy and function. However, it typically only acquires a set of two-dimensional …

Multi-domain variational autoencoders for combined modeling of MRI-based biventricular anatomy and ECG-based cardiac electrophysiology

M Beetz, A Banerjee, V Grau - Frontiers in physiology, 2022 - frontiersin.org
Human cardiac function is characterized by a complex interplay of mechanical deformation
and electrophysiological conduction. Similar to the underlying cardiac anatomy, these …

Interpretable cardiac anatomy modeling using variational mesh autoencoders

M Beetz, J Corral Acero, A Banerjee, I Eitel… - Frontiers in …, 2022 - frontiersin.org
Cardiac anatomy and function vary considerably across the human population with
important implications for clinical diagnosis and treatment planning. Consequently, many …

Towards enabling cardiac digital twins of myocardial infarction using deep computational models for inverse inference

L Li, J Camps, Z Wang, M Beetz… - IEEE transactions on …, 2024 - ieeexplore.ieee.org
Cardiac digital twins (CDTs) have the potential to offer individualized evaluation of cardiac
function in a non-invasive manner, making them a promising approach for personalized …

Probing the limits and capabilities of diffusion models for the anatomic editing of digital twins

K Kadry, S Gupta, FR Nezami, ER Edelman - npj Digital Medicine, 2024 - nature.com
Numerical simulations of cardiovascular device deployment within digital twins of patient-
specific anatomy can expedite and de-risk the device design process. Nonetheless, the …

Deep computational model for the inference of ventricular activation properties

L Li, J Camps, A Banerjee, M Beetz… - … Workshop on Statistical …, 2022 - Springer
Patient-specific cardiac computational models are essential for the efficient realization of
precision medicine and in-silico clinical trials using digital twins. Cardiac digital twins can …

Combined generation of electrocardiogram and cardiac anatomy models using multi-modal variational autoencoders

M Beetz, A Banerjee, Y Sang… - 2022 IEEE 19th …, 2022 - ieeexplore.ieee.org
Understanding population-wide variability of the human heart is crucial to detect
abnormalities and improve the assessment of both cardiac anatomy and function. While …

Modeling 3D cardiac contraction and relaxation with point cloud deformation networks

M Beetz, A Banerjee, V Grau - IEEE Journal of Biomedical and …, 2024 - ieeexplore.ieee.org
Global single-valued biomarkers, such as ejection fraction, are widely used in clinical
practice to assess cardiac function. However, they only approximate the heart's true 3D …

Multi-objective point cloud autoencoders for explainable myocardial infarction prediction

M Beetz, A Banerjee, V Grau - International Conference on Medical Image …, 2023 - Springer
Myocardial infarction (MI) is one of the most common causes of death in the world. Image-
based biomarkers commonly used in the clinic, such as ejection fraction, fail to capture more …