Machine Learning and the Conundrum of Stroke Risk Prediction Y Chahine, MJ Magoon, B Maidu, JC Del Álamo, PM Boyle, N Akoum Arrhythmia & Electrophysiology Review 12, 2023 | 4 | 2023 |
Inferring left atrial appendage (LAA) hemodynamics from 4D CT contrast dynamics by physics informed neural networks (PINNs) B Maidu, A Gonzalo, C Bargellini, L Rossini, D Vigneault, ... Bulletin of the American Physical Society 67, 2022 | 1 | 2022 |
Super-resolution Left Ventricular Flow and Pressure Mapping by Navier-Stokes-Informed Neural Networks B Maidu, P Martinez-Legazpi, M Guerrero-Hurtado, CM Nguyen, ... bioRxiv, 2024.04. 12.589319, 2024 | | 2024 |
Inferring left atrial thrombin concentration from 4D CT contrast dynamics by physics-informed neural networks & multi-fidelity coagulation cascade modeling C Bargellini, B Maidu, M Guerrero-Hurtado, A Gonzalo, L Severance, ... Bulletin of the American Physical Society, 2023 | | 2023 |
All-In-One Left Ventricular Vector Flow, Pressure, & Clotting Risk Mapping by Multi-Physics-Informed Neural Network B Maidu, M Guerrero-Hurtado, C Nguyen, P Martinez-Legazpi, A Kahn, ... Bulletin of the American Physical Society, 2023 | | 2023 |
Bayesian Intraventricular Vector Flow Mapping: Influence of imaging parameters & algorithmic choices on output uncertainty C Nguyen, B Maidu, D Wong, S Igata, C Chazo Paz, P Martinez-Legazpi, ... Bulletin of the American Physical Society, 2023 | | 2023 |
Intraventricular Vector Flow Mapping with Data Fusion and Uncertainty Quantification C Nguyen, B Maidu, D Wong, S Igata, C Chazo, P Martinez-Legazpi, ... APS Division of Fluid Dynamics Meeting Abstracts, E28. 001, 2021 | | 2021 |
Inferring the left atrial appendage (LAA) hemodynamics from 4D CT contrast dynamics: reduced order models (ROMs) and physics informed neural networks (PINNs). B Maidu, A Gonzalo, L Rossini, D Vigneault, P Martinez-Legazpi, ... APS Division of Fluid Dynamics Meeting Abstracts, H14. 002, 2021 | | 2021 |