5 papers
The role of mechano-electric feedbacks and hemodynamic coupling in scar-related ventricular tachycardia
Matteo Salvador, Francesco Regazzoni, Stefano Pagani +3
Mechano-electric feedbacks (MEFs), which model how mechanical stimuli are transduced into electrical signals, have received sparse investigation by considering electromechanical si…
Fast Posterior Estimation of Cardiac Electrophysiological Model Parameters via Bayesian Active Learning
Md Shakil Zaman, Jwala Dhamala, Pradeep Bajracharya +5
Probabilistic estimation of cardiac electrophysiological model parameters serves an important step towards model personalization and uncertain quantification. The expensive computa…
Electromechanical modeling of human ventricles with ischemic cardiomyopathy: numerical simulations in sinus rhythm and under arrhythmia
Matteo Salvador, Marco Fedele, Pasquale Claudio Africa +6
We developed a novel patient-specific computational model for the numerical simulation of ventricular electromechanics in patients with ischemic cardiomyopathy (ICM). This model re…
Anatomically-Informed Deep Learning on Contrast-Enhanced Cardiac MRI for Scar Segmentation and Clinical Feature Extraction
Haley G. Abramson, Dan M. Popescu, Rebecca Yu +5
Visualizing disease-induced scarring and fibrosis in the heart on cardiac magnetic resonance (CMR) imaging with contrast enhancement (LGE) is paramount in characterizing disease pr…
Universal atrial coordinates applied to visualisation, registration and construction of patient specific meshes
Caroline H Roney, Ali Pashaei, Marianna Meo +6
Integrating spatial information about atrial physiology and anatomy in a single patient from multimodal datasets, as well as generalizing these data across patients, requires a com…