Journal & Conference Publications

  1. B. Maidu, P. Martinez-Legazpi, M. Guerrero-Hurtado, C. M. Nguyen, A. Gonzalo, A. M. Kahn, J. Bermejo, O. Flores, and J. C. del Alamo. Super-resolution Left Ventricular Flow and Pressure Mapping by Navier-Stokes-Informed Neural Networks . Computers in Biology and Medicine, 2025;185:109476.
  2. G. S. Khurana, J. Guo, L. Severance, A. Gonzalo, B. Maidu, J. C. del Alamo, and F. Contijoch. SinoFlow: Fluid flow estimation from sinograms using a physics informed neural network . The 8th International Conference on Image Formation in X-Ray Computed Tomography, p431-434, Bamberg, Germany, 2024.
  3. J. Guo, G. Khurana, L. Severance, B. Maidu, A. Gonzalo, J.C. del Alamo, and F. Contijoch. CT Gantry Rotation Time and Reconstructed Frame Rate Impact the Accuracy of Flow Field Estimation Using a Physics-informed Neural Network . The 8th International Conference on Image Formation in X-Ray Computed Tomography, p384-387, Bamberg, Germany, 2024.
  4. Y. Chahine, M.J. Magoon, B. Maidu, J. C. del Alamo, P. M. Boyle, and N. Akoum. Machine Learning and the Conundrum of Stroke Risk Prediction . Arrhythmia & Electrophysiology Review, 2023;12:e07.

Other Publications & Conference Contributions

  1. M. Guerrero-Hurtado, M. García-Villalba, Y. Stoecker, E. Duran, B. Maidu, C. Bargellini, A. Gonzalo, P. Martinez-Legazpi, C. Augustin, P. Boyle, N. Akoum, E. McVeigh, J. Bermejo, A.M. Kahn, O. Flores, J.C. del Alamo. Flow and transport phenomena in the left atrium: Assessing the risk of thrombogenesis. 2nd European Fluid Dynamics Conference (EFDC2), Dublin, Ireland, 2025.
  2. B. Maidu, A. Gonzalo, C. Bargellini, L. Rossini, D. Vigneault, P. Martinez-Legazpi, J. Bermejo, O. Flores, M. García-Villalba, E. McVeigh, A. Kahn, and J. C. del Alamo. Left atrial appendage (LAA) clotting risk inferrence and flow reconstruction from 4D Contrast-CT imaging by Multi-Physics-Informed Neural Network (PINN) . American Physical Society 77th Annual Meeting of the Division of Fluid Dynamics, Salt Lake City, Utah, USA, 2024.
  3. B. Maidu, P. Martinez-Legazpi, M. Guerrero-Hurtado, C. Nguyen, A. Gonzalo, A. Kahn, J. Bermejo, O. Flores, and Juan Carlos del Alamo. Three-dimensional Super-resolution Left Ventricular Vector Flow, Pressure, & Clotting Risk Mapping by Multi-Physics-Informed Neural Network . American Physical Society 77th Annual Meeting of the Division of Fluid Dynamics, Salt Lake City, Utah, USA, 2024.
  4. M. Guerrero-Hurtado, Y. Stocker, A. Gonzalo, C. Bargellini, B. Maidu, E. Duran, P. Martinez-Legazpi, J. Bermejo, A. Kahn, E. McVeigh, M. García-Villalba, N. Akoum, C. Augustin, P. Boyle, J. C. del Alamo, and O. Flores. Multi-fidelity, multi-physics models of fibrosis-induced left atrial thrombosis . American Physical Society 77th Annual Meeting of the Division of Fluid Dynamics, Salt Lake City, Utah, USA, 2024.
  5. M. Guerrero-Hurtado, Y. Stöcker, A. Gonzalo, C. Bargellini, B. Maidu, E. Duran, P. Martinez-Legazpi, J. Bermejo, A. M. Kahn, E. McVeigh, M. García-Villalba, N. Akoum, C. Augustin, P. Boyle, J. C. del Álamo, and O. Flores. Multi-fidelity, multi-physics models of fibrosis-induced left atrial thrombosis . 16th World Congress on Computational Mechanics and 4th Pan American Congress on Computational Mechanics, Vancouver, Canada, 2024.
  6. C. Bargellini, B. Maidu, M. Guerrero-Hurtado, A. Gonzalo, L. Severance, P. Martinez-Legazpi, J. Bermejo, E. McVeigh, A. Kahn, M. García-Villalba, O. Flores, and J. C. del Alamo. Inferring left atrial thrombin concentration from 4D CT contrast dynamics by physics-informed neural networks & multi-fidelity coagulation cascade modeling . American Physical Society 76th Annual Meeting of the Division of Fluid Dynamics, Washington, D.C., USA, 2023.
  7. B. Maidu, M. Guerrero-Hurtado, C. Nguyen, P. Martinez-Legazpi, A. Kahn, J. Bermejo, O. Flores, and J. C. del Alamo. All-In-One Left Ventricular Vector Flow, Pressure, & Clotting Risk Mapping by Multi-Physics-Informed Neural Network . American Physical Society 76th Annual Meeting of the Division of Fluid Dynamics, Washington, D.C., USA, 2023.
  8. C. Nguyen, B. Maidu, D. Wong, S. Igata, C. C. Paz, P. Martinez-Legazpi, J. Bermejo, A. Kahn, A. DeMaria, and J. C. del Alamo. Bayesian Intraventricular Vector Flow Mapping: Influence of imaging parameters & algorithmic choices on output uncertainty . American Physical Society 76th Annual Meeting of the Division of Fluid Dynamics, Washington, D.C., USA, 2023.
  9. B. Maidu, A. Gonzalo, C. Bargellini, L. Rossini, D. Vigneault, P. Martinez-Legazpi, J. Bermejo, O. Flores, M. Garcia-Villalba, E. McVeigh, A. Kahn, and J. C. del Alamo. Inferring left atrial appendage (LAA) hemodynamics from 4D CT contrast dynamics by physics informed neural networks (PINNs) . American Physical Society 75th Annual Meeting of the Division of Fluid Dynamics, Indianapolis, Indiana, USA, 2022.
  10. C. M. Nguyen, B. Maidu, D. J. Wong, S. Igata, C. Chazo, P. Martinez-Legazpi, J. Bermejo, A. M. Kahn, A. Demaria, and J. C. del Alamo. Intraventricular Vector Flow Mapping With Data Fusion and Uncertainty Quantification . Fluids Engineering Division Summer Meeting, Toronto, Ontario, Canada, 2022.
  11. A. Gonzalo, B. Maidu, C. Augustin, S. Bifulco, M. Guerrero, M. Garcia-Villalba, P. Martinez-Legazpi, O. Flores, J. Bermejo, E. McVeigh, A. Kahn, G. Plank, N. Akoum, P. Boyle, and J. C. del Alamo. From Patient-Specific Medical Images to Atrial Thrombosis Risk: Physics Informed Neural Networks and Multi-Physics Simulations of Electrophysiology, Biomechanics and Hemodynamics . 15th World Congress on Computational Mechanics and 8th Asian Pacific Congress on Computational Mechanics, Yokohama, Japan, 2022.
  12. C. M. Nguyen, B. Maidu, D. J. Wong, S. Igata, C. Chazo, P. Martinez-Legazpi, J. Bermejo, A. M. Kahn, A. Demaria, and J. C. del Alamo. Intraventricular Vector Flow Mapping With Data Fusion and Uncertainty Quantification . American Physical Society 74th Annual Meeting of the Division of Fluid Dynamics, Phoenix, Arizona, USA, 2021.
  13. B. Maidu, A. Gonzalo, C. Bargellini, L. Rossini, D. Vigneault, P. Martinez-Legazpi, J. Bermejo, O. Flores, M. Garcia-Villalba, E. McVeigh, A. Kahn, and J. C. del Alamo. Inferring the left atrial appendage (LAA) hemodynamics from 4D CT contrast dynamics: reduced order models (ROMs) and physics informed neural networks (PINNs) . American Physical Society 74th Annual Meeting of the Division of Fluid Dynamics, Phoenix, Arizona, USA, 2021.