Optimal Dual-VENC Unwrapping in Phase-Contrast MRI. - Hugo Carrillo Lincopi; Axel Osses; Sergio Uribe; Cristóbal Bertoglio (IEEE Trans. Medical Imaging, 2019)

Towards Optimally Weighted Physics-Informed Neural Networks in Ocean Modelling. - Taco de Wolff; Hugo Carrillo Lincopi; Luis Martí; Nayat Sánchez-Pi (CoRR, 2021)

MOPINNs: an evolutionary multi-objective approach to physics-informed neural networks. - Taco de Wolff; Hugo Carrillo Lincopi; Luis Martí; Nayat Sánchez-Pi (GECCO Companion, 2022)

Optimal Architecture Discovery for Physics-Informed Neural Networks. - Taco de Wolff; Hugo Carrillo Lincopi; Luis Martí; Nayat Sánchez-Pi (IBERAMIA, 2022)

Approximation of the non-linear water hammer problem by a Lax-Wendroff finite difference scheme. - Hugo Carrillo Lincopi; Alden Waters; Teke Xu (CoRR, 2022)

Multiple motion encoding in phase-contrast MRI: A general theory and application to elastography imaging. - Helge Herthum; Hugo Carrillo Lincopi; Axel Osses; Sergio Uribe; Ingolf Sack; Cristóbal Bertoglio (Medical Image Anal., 2022)

Analysis of Obstacles Immersed in Viscous Fluids Using Brinkman's Law for Steady Stokes and Navier-Stokes Equations. - Jorge Aguayo; Hugo Carrillo Lincopi (SIAM J. Appl. Math., 2022)

Evolutionary multi-objective physics-informed neural networks: The MOPINNs approach. - Hugo Carrillo Lincopi; Taco de Wolff; Luis Martí; Nayat Sánchez-Pi (AI Commun., 2024)