Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
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 …
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
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 …
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
Human cardiac function is characterized by a complex interplay of mechanical deformation
and electrophysiological conduction. Similar to the underlying cardiac anatomy, these …
and electrophysiological conduction. Similar to the underlying cardiac anatomy, these …
Interpretable cardiac anatomy modeling using variational mesh autoencoders
Cardiac anatomy and function vary considerably across the human population with
important implications for clinical diagnosis and treatment planning. Consequently, many …
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
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 …
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
Numerical simulations of cardiovascular device deployment within digital twins of patient-
specific anatomy can expedite and de-risk the device design process. Nonetheless, the …
specific anatomy can expedite and de-risk the device design process. Nonetheless, the …
Deep computational model for the inference of ventricular activation properties
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 …
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
Understanding population-wide variability of the human heart is crucial to detect
abnormalities and improve the assessment of both cardiac anatomy and function. While …
abnormalities and improve the assessment of both cardiac anatomy and function. While …
Modeling 3D cardiac contraction and relaxation with point cloud deformation networks
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 …
practice to assess cardiac function. However, they only approximate the heart's true 3D …
Multi-objective point cloud autoencoders for explainable myocardial infarction prediction
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 …
based biomarkers commonly used in the clinic, such as ejection fraction, fail to capture more …