Multi-scale computational model of three-dimensional hemodynamics within a deformable full-body arterial network. - Nan Xiao; Jay D. Humphrey; C. Alberto Figueroa (J. Comput. Phys., 2013)

CRIMSON: Towards a Software Environment for Patient-Specific Blood Flow Simulation for Diagnosis and Treatment. - Rostislav Khlebnikov; C. Alberto Figueroa (CLIP@MICCAI, 2015)

Non-invasive pressure difference estimation from PC-MRI using the work-energy equation. - Fabrizio Donati; C. Alberto Figueroa; Nicolas P. Smith; Pablo Lamata; David A. Nordsletten (Medical Image Anal., 2015)

Optimal B-Spline Mapping of Flow Imaging Data for Imposing Patient-Specific Velocity Profiles in Computational Hemodynamics. - Alberto Gómez 002; Marija Marcan; Christopher J. Arthurs; Robert Wright; Pouya Youssefi; Marjan Jahangiri; C. Alberto Figueroa (IEEE Trans. Biomed. Eng., 2019)

A flexible framework for sequential estimation of model parameters in computational hemodynamics. - Christopher J. Arthurs; Nan Xiao; Philippe Moireau; Tobias Schaeffter; C. Alberto Figueroa (Adv. Model. Simul. Eng. Sci., 2020)

Non-invasive estimation of relative pressure in turbulent flow using virtual work-energy. - David Marlevi; Hojin Ha; Desmond Dillon-Murphy; João Filipe Fernandes; Daniel Fovargue; Massimiliano Colarieti-Tosti; Matilda Larsson; Pablo Lamata; C. Alberto Figueroa; Tino Ebbers; David A. Nordsletten (Medical Image Anal., 2020)

CRIMSON: An open-source software framework for cardiovascular integrated modelling and simulation. - Christopher J. Arthurs; Rostislav Khlebnikov; Alex Melville; Marija Marcan; Alberto Gómez 002; Desmond Dillon-Murphy; Federica Cuomo; Miguel Silva Vieira; Jonas Schollenberger; Sabrina R. Lynch; Christopher Tossas-Betancourt; Kritika Iyer; et al. (PLoS Comput. Biol., 2021)

Attention-based Multi-fidelity Machine Learning Model for Computational Fractional Flow Reserve Assessment. - Haizhou Yang; C. Alberto Figueroa; Krishna C. Garikipati (CoRR, 2023)

Cerebrovascular super-resolution 4D Flow MRI - Sequential combination of resolution enhancement by deep learning and physics-informed image processing to non-invasively quantify intracranial velocity, flow, and relative pressure. - Edward Ferdian; David Marlevi; Jonas Schollenberger; Maria Aristova; Elazer R. Edelman; Susanne Schnell; C. Alberto Figueroa; David Nordsletten; Alistair A. Young (Medical Image Anal., 2023)

A Multi-physics Model of Flow from Coronary Angiography: Insights into Microvascular Function. - Haizhou Yang; Jiyang Zhang; Ismael Assi; Brahmajee K. Nallamothu; Krishna C. Garikipati; C. Alberto Figueroa (CoRR, 2024)

Generalized Super-Resolution 4D Flow MRI - Using Ensemble Learning to Extend Across the Cardiovascular System. - Leon Ericsson; Adam Hjalmarsson; Muhammad Usman Akbar; Edward Ferdian; Mia Bonini; Brandon Hardy; Jonas Schollenberger; Maria Aristova; Patrick Winter; Nicholas S. Burris; Alexander Fyrdahl; Andreas Sigfridsson; et al. (IEEE J. Biomed. Health Informatics, 2024)