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C. Alberto Figueroa
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2020 – today
- 2023
- [j7]Edward Ferdian
, David Marlevi, Jonas Schollenberger
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. Medical Image Anal. 88: 102831 (2023) - [i2]Haizhou Yang, C. Alberto Figueroa, Krishna C. Garikipati:
Attention-based Multi-fidelity Machine Learning Model for Computational Fractional Flow Reserve Assessment. CoRR abs/2311.11397 (2023) - [i1]Leon Ericsson, Adam Hjalmarsson, Muhammad Usman Akbar, Edward Ferdian, Mia Bonini, Brandon Hardy, Jonas Schollenberger, Maria Aristova, Patrick Winter, Nicholas S. Burris, Alexander Fyrdahl
Generalized super-resolution 4D Flow MRI - using ensemble learning to extend across the cardiovascular system. CoRR abs/2311.11819 (2023) - 2021
- [j6]Christopher J. Arthurs
CRIMSON: An open-source software framework for cardiovascular integrated modelling and simulation. PLoS Comput. Biol. 17(5) (2021) - 2020
- [j5]Christopher J. Arthurs
A flexible framework for sequential estimation of model parameters in computational hemodynamics. Adv. Model. Simul. Eng. Sci. 7(1): 48 (2020) - [j4]David Marlevi
Non-invasive estimation of relative pressure in turbulent flow using virtual work-energy. Medical Image Anal. 60 (2020)
2010 – 2019
- 2019
- [j3]Alberto Gómez
Optimal B-Spline Mapping of Flow Imaging Data for Imposing Patient-Specific Velocity Profiles in Computational Hemodynamics. IEEE Trans. Biomed. Eng. 66(7): 1872-1883 (2019) - 2015
- [j2]Fabrizio Donati
Non-invasive pressure difference estimation from PC-MRI using the work-energy equation. Medical Image Anal. 26(1): 159-172 (2015) - [c1]Rostislav Khlebnikov, C. Alberto Figueroa
CRIMSON: Towards a Software Environment for Patient-Specific Blood Flow Simulation for Diagnosis and Treatment. CLIP@MICCAI 2015: 10-18 - 2013
- [j1]Nan Xiao, Jay D. Humphrey, C. Alberto Figueroa
Multi-scale computational model of three-dimensional hemodynamics within a deformable full-body arterial network. J. Comput. Phys. 244: 22-40 (2013)
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