Author

C. A. Figueroa

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 3 Physiology· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Assay:imaging· 3 Approach:deep learning· 2 Research Focus:benchmarking· 1 Organism:human· 1 Approach:simulation· 1 Research Focus:software / tool· 1

Frequent Co-Authors

H. Gharahi· 3 shared J. Schollenberger· 3 shared D. A. Beard· 2 shared S. Baek· 2 shared A. A. Young· 1 shared A. Gomez· 1 shared A. Melville· 1 shared A. Noorani· 1 shared

Activity by Year

2020-2021 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersPhysiology

H. Gharahi

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Cerebrovascular super-resolution 4D Flow MRI - using deep learning to non-invasively quantify velocity, flow, and relative pressure

E. Ferdian, D. Marlevi, J. Schollenberger, M. Aristova, E. R. Edelman, S. Schnell, C. A. Figueroa, D. A. Nordsletten, A. A. Young

This paper develops a deep learning method combined with 4D Flow MRI to generate high-resolution cerebrovascular flow and pressure data, validated in both in-silico and in-vivo settings.

bioRxiv · Aug 25, 2021 · PreprintBioengineering

Multiscale model of the physiological control of myocardial perfusion to delineate putative metabolic feedback mechanisms

H. Gharahi, C. A. Figueroa, J. D. Tune, D. A. Beard

The paper uses a multiscale model to evaluate metabolic feedback mechanisms in myocardial perfusion using porcine experimental data, identifying a likely mechanism linking MVO2 and flow.

bioRxiv · Aug 4, 2021Physiology

A combined computational fluid dynamics and MRI Arterial Spin Labeling modeling strategy to quantify patient-specific cerebral hemodynamics in cerebrovascular occlusive disease

J. Schollenberger, N. H. Osborne, L. Hernandez-Garcia, C. A. Figueroa

bioRxiv · Jan 21, 2021Bioengineering

CRIMSON: An Open-Source Software Framework for Cardiovascular Integrated Modelling and Simulation

C. J. Arthurs, R. Khlebnikov, A. Melville, M. Mar?an, A. Gomez, D. Dillon-Murphy, F. Cuomo, M. Silva Vieira, J. Schollenberger, S. R. Lynch, C. Tossas-Betancourt, K. Iyer, S. Hopper, E. Livingston, P. Youssefi, , C. A. Figueroa

CRIMSON is an open-source software framework for cardiovascular computational haemodynamics, enabling 3D and reduced-order simulations from medical images to clinical applications.

bioRxiv · Oct 14, 2020Bioengineering

A Constrained Mixture Theory Model to Study Autoregulation in the Coronary Circulation

H. Gharahi, D. A. Beard, C. A. Figueroa, S. Baek

This paper develops a structurally-motivated model of coronary autoregulation using constrained mixture theory to simulate hemodynamics and response to perfusion pressure changes in coronary trees.

bioRxiv · Sep 21, 2020 · PreprintPhysiology