[HTML][HTML] Computational modeling of cardiac electrophysiology and arrhythmogenesis: toward clinical translation

NA Trayanova, A Lyon, J Shade… - Physiological …, 2023 - pmc.ncbi.nlm.nih.gov
The complexity of cardiac electrophysiology, involving dynamic changes in numerous
components across multiple spatial (from ion channel to organ) and temporal (from …

Computational modeling of cardiac electrophysiology and arrhythmogenesis: toward clinical translation

NA Trayanova, A Lyon, J Shade… - Physiological …, 2024 - journals.physiology.org
The complexity of cardiac electrophysiology, involving dynamic changes in numerous
components across multiple spatial (from ion channel to organ) and temporal (from …

Attention-guided residual W-Net for supervised cardiac magnetic resonance imaging segmentation

KR Singh, A Sharma, GK Singh - Biomedical Signal Processing and Control, 2023 - Elsevier
Objective With latest developments in deep learning approaches, automated, accurate, fast,
and generalized segmentation model for left atrium, left ventricle, right ventricle, and …

Dimon: Learning solution operators of partial differential equations on a diffeomorphic family of domains

M Yin, N Charon, R Brody, L Lu, N Trayanova… - arXiv preprint arXiv …, 2024 - arxiv.org
The solution of a PDE over varying initial/boundary conditions on multiple domains is
needed in a wide variety of applications, but it is computationally expensive if the solution is …

Assessing the arrhythmogenic propensity of fibrotic substrate using digital twins to inform a mechanisms-based atrial fibrillation ablation strategy

K Sakata, RP Bradley, A Prakosa… - Nature Cardiovascular …, 2024 - nature.com
Atrial fibrillation (AF), the most common heart rhythm disorder, may cause stroke and heart
failure. For patients with persistent AF with fibrosis proliferation, the standard AF treatment …

Inteligencia artificial en la imagen cardiovascular mediante resonancia magnética

A Castellaccio, NA Arostegui, MP Jiménez, DQ Tapia… - Radiología, 2024 - Elsevier
La inteligencia artificial está en pleno desarrollo y sus posibilidades son incalculables. Sus
principales aplicaciones en la resonancia magnética cardiaca (RMC) se han focalizado en …

Automatic Delineation of the 3D Left Atrium from LGE-MRI: Actor-Critic based Detection and Semi-Supervised Segmentation

S Xiang, N Li, Y Wang, S Zhou… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Accurate and automatic delineation of the left atrium (LA) is crucial for computer-aided
diagnosis of atrial fibrillation-related diseases. However, effective model training typically …

[HTML][HTML] Elastic shape analysis computations for clustering left atrial appendage geometries of atrial fibrillation patients

Z Ahmad, M Yin, Y Sukurdeep, N Rotenberg… - ArXiv, 2024 - ncbi.nlm.nih.gov
Morphological variations in the left atrial appendage (LAA) are associated with different
levels of ischemic stroke risk for patients with atrial fibrillation (AF). Studying LAA …

Integrating Deep Learning in Cardiology: A Comprehensive Review of Atrial Fibrillation, Left Atrial Scar Segmentation, and the Frontiers of State-of-the-Art Techniques

M Gunawardhana, A Kulathilaka, J Zhao - arXiv preprint arXiv:2407.09561, 2024 - arxiv.org
Atrial fibrillation (AFib) is the prominent cardiac arrhythmia in the world. It affects mostly the
elderly population, with potential consequences such as stroke and heart failure in the …

Optimizing the Distribution of Ablation Lesions to Prevent Postablation Atrial Tachycardia: A Personalized Digital-Twin Study

K Sakata, RP Bradley, A Prakosa… - Clinical …, 2024 - jacc.org
Background Although targeting atrial fibrillation (AF) drivers and substrates has been used
as an effective adjunctive ablation strategy for patients with persistent AF (PsAF), it can result …