•Garay, J., Nolte, D., & Bertoglio, C. (2026). Duct boundary conditions for incompressible fluid flows: finite element discretizations and parameter estimation in coronary blood flow. Computer Methods in Applied Mechanics and Engineering, 454, 118867.
•Garay, J., Dunstan, J., Uribe, S., & Costabal, F. S. (2024). Physics-informed neural networks for parameter estimation in blood flow models. Computers in Biology and Medicine, 178, 108706.
•Löcke, M., Garay Labra, J. E., Franco, P., Uribe, S., & Bertoglio, C. (2023). A comparison of phase unwrapping methods in velocity‐encoded MRI for aortic flows. Magnetic resonance in medicine, 90(5), 2102-2115.
•Garay, J., Nolte, D., Löcke, M., & Bertoglio, C. (2022). Parameter estimation in fluid flow models from aliased velocity measurements. Inverse Problems, 38(9), 095002.
Garay, J., Mella, H., Sotelo, J., Cárcamo, C., Uribe, S., Bertoglio, C., & Mura, J. (2022). Assessment of 4D flow MRI's quality by verifying its Navier–Stokes compatibility. International Journal for Numerical Methods in Biomedical Engineering, 38(6), e3603.
•Contreras-Reyes, E., & Garay, J. (2018). Flexural modeling of the elastic lithosphere at an ocean trench: A parameter sensitivity analysis using analytical solutions. Journal of Geodynamics, 113, 1-12.
•Garay, J., Ortega, I., Clerc, M. G., & Falcón, C. (2012). Symmetry-induced pinning-depinning transition of a subharmonic wave pattern. Physical Review E—Statistical, Nonlinear, and Soft Matter Physics, 85(3), 03520
