[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 …

Digital twinning of cardiac electrophysiology models from the surface ECG: a geodesic backpropagation approach

T Grandits, J Verhülsdonk, G Haase… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The eikonal equation has become an indispensable tool for modeling cardiac electrical
activation accurately and efficiently. In principle, by matching clinically recorded and eikonal …

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

L Li, J Camps, Z Wang, M Beetz… - … on Medical Imaging, 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 …

A conditional flow variational autoencoder for controllable synthesis of virtual populations of anatomy

H Dou, N Ravikumar, AF Frangi - International Conference on Medical …, 2023 - Springer
The generation of virtual populations (VPs) of anatomy is essential for conducting in silico
trials of medical devices. Typically, the generated VP should capture sufficient variability …

Point2Mesh-Net: Combining point cloud and mesh-based deep learning for cardiac shape reconstruction

M Beetz, A Banerjee, V Grau - … Atlases and Computational Models of the …, 2022 - Springer
Cine magnetic resonance imaging (MRI) is the gold standard modality for the assessment of
cardiac anatomy and function. However, a standard cine acquisition typically consists of only …

3D shape-based myocardial infarction prediction using point cloud classification networks

M Beetz, Y Yang, A Banerjee, L Li… - 2023 45th Annual …, 2023 - ieeexplore.ieee.org
Myocardial infarction (MI) is one of the most prevalent cardiovascular diseases with
associated clinical decision-making typically based on single-valued imaging biomarkers …

Solving the Inverse Problem of Electrocardiography for Cardiac Digital Twins: A Survey

L Li, J Camps, B Rodriguez, V Grau - arXiv preprint arXiv:2406.11445, 2024 - arxiv.org
Cardiac digital twins are personalized virtual representations used to understand complex
heart mechanisms. Solving the ECG inverse problem is crucial for accurate virtual heart …

Reconstructing 3D cardiac anatomies from misaligned multi-view magnetic resonance images with mesh deformation U-nets

M Beetz, A Banerjee, V Grau - Geometric Deep Learning in …, 2022 - proceedings.mlr.press
Abstract High-quality three-dimensional (3D) representations of cardiac anatomy and
function are crucial for improving cardiac disease diagnosis beyond strictly volume-based …

Influence of myocardial infarction on QRS properties: A simulation study

L Li, J Camps, Z Wang, A Banerjee… - … on Functional Imaging …, 2023 - Springer
The interplay between structural and electrical changes in the heart after myocardial
infarction (MI) plays a key role in the initiation and maintenance of arrhythmia. The …

Large Language Model-informed ECG Dual Attention Network for Heart Failure Risk Prediction

C Chen, L Li, M Beetz, A Banerjee, R Gupta… - arXiv preprint arXiv …, 2024 - arxiv.org
Heart failure (HF) poses a significant public health challenge due to its rising global mortality
rate. Addressing this issue through early diagnosis and prevention could significantly reduce …