C. Alberto Figueroa

According to our database, C. Alberto Figueroa authored at least 10 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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., August, 2023

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, Susanne Schnell, C. Alberto Figueroa, David Nordsletten, Alistair A. Young, David Marlevi

CoRR, 2023

Attention-based Multi-fidelity Machine Learning Model for Computational Fractional Flow Reserve Assessment.

Haizhou Yang, C. Alberto Figueroa, Krishna C. Garikipati

CoRR, 2023

2021

CRIMSON: An open-source software framework for cardiovascular integrated modelling and simulation.

Christopher J. Arthurs, Rostislav Khlebnikov, Alex Melville, Marija Marcan, Alberto Gómez, Desmond Dillon-Murphy, Federica Cuomo, Miguel Silva Vieira, Jonas Schollenberger, Sabrina R. Lynch, Christopher Tossas-Betancourt, Kritika Iyer, Sara Hopper, Elizabeth Livingston, Pouya Youssefi, Alia Noorani, Sabrina Ben Ahmed, Foeke J. H. Nauta, Theodorus M. J. van Bakel, Yunus Ahmed, Petrus A. J. van Bakel, Jonathan P. Mynard, Paolo Di Achille, Hamid Gharahi, Kevin D. Lau, Vasilina Filonova, Miquel Aguirre, Nitesh Nama, Nan Xiao, Seungik Baek, Krishna C. Garikipati, Onkar Sahni, David Nordsletten, C. Alberto Figueroa

PLoS Comput. Biol., 2021

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

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

2019

Optimal B-Spline Mapping of Flow Imaging Data for Imposing Patient-Specific Velocity Profiles in Computational Hemodynamics.

Alberto Gómez, Marija Marcan, Christopher J. Arthurs, Robert Wright, Pouya Youssefi, Marjan Jahangiri, C. Alberto Figueroa

IEEE Trans. Biomed. Eng., 2019

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

CRIMSON: Towards a Software Environment for Patient-Specific Blood Flow Simulation for Diagnosis and Treatment.

Rostislav Khlebnikov, C. Alberto Figueroa

Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2015

2013

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