Skip to Main Content
American Society of Mechanical Engineers: Digital Collection
Cart
header search
Search
Advanced Search
Skip Nav Destination

A Stochastic Collocation Method for Uncertainty Quantification and Propagation in Cardiovascular Simulations

J Biomech Eng. Mar 2011, 133(3): 031001 (12 pages)
This article has been cited by the following articles in journals that are participating in CrossRef Cited-by Linking.
Influence of material parameter variability on the predicted coronary artery biomechanical environment via uncertainty quantification
  • Caleb C. Berggren
  • David Jiang
  • Y. F. Jack Wang
  • Jake A. Bergquist
  • Lindsay C. Rupp
  • Zexin Liu
  • Rob S. MacLeod
  • Akil Narayan
  • Lucas H. Timmins
Biomechanics and Modeling in Mechanobiology. January 2024, 23(3)
Uncertainty quantification of phase transitions in magnetic materials lattices
  • Zekeriya Ender Eğer
  • Pınar Acar
Applied Physics Letters. January 2024, 124(2)
Uncertainty Separation Method for Simulation With Image and Numerical Data
  • Xiaoping Du
Journal of Verification, Validation and Uncertainty Quantification. January 2024, 9(1)
Dosimetry Sensitivity in a Lower Dimensional Model of Patient-Specific Asthma Subjects
  • Kamran Poorbahrami
  • Michael R Allshouse
  • Jessica M. Oakes
IEEE Transactions on Biomedical Engineering. January 2023, 70(9)
Soft-tissue simulation of the breast for intraoperative navigation and fusion of preoperative planning
  • Patricia Alcañiz
  • César Vivo de Catarina
  • Alessandro Gutiérrez
  • Jesús Pérez
  • Carlos Illana
  • Beatriz Pinar
  • Miguel A. Otaduy
Frontiers in Bioengineering and Biotechnology. January 2022, 10
Deep learning-based surrogate model for three-dimensional patient-specific computational fluid dynamics
  • Pan Du
  • Xiaozhi Zhu
  • Jian-Xun Wang
Physics of Fluids. January 2022, 34(8)
Uncertainty quantification in cerebral circulation simulations focusing on the collateral flow: Surrogate model approach with machine learning
  • Changyoung Yuhn
  • Marie Oshima
  • Yan Chen
  • Motoharu Hayakawa
  • Shigeki Yamada
  • Alison L. Marsden
PLOS Computational Biology. January 2022, 18(7)
Machine Learning for Cardiovascular Biomechanics Modeling: Challenges and Beyond
  • Amirhossein Arzani
  • Jian-Xun Wang
  • Michael S. Sacks
  • Shawn C. Shadden
Annals of Biomedical Engineering. January 2022, 50(6)
Uncertainty quantification of a three-dimensional in-stent restenosis model with surrogate modelling
  • Dongwei Ye
  • Pavel Zun
  • Valeria Krzhizhanovskaya
  • Alfons G. Hoekstra
Journal of The Royal Society Interface. January 2022, 19(187)
Propagation of uncertainty in a rotating pipe mechanism to generate an impinging swirling jet flow for heat transfer from a flat plate
  • F.-J. Granados-Ortiz
  • J. Ortega-Casanova
  • C.-H. Lai
Engineering with Computers. January 2022, 38(2)
Application of Gaussian process regression as a surrogate modeling method to assess the dynamics of COVID-19 propagation
  • Alexandra Matveeva
  • Vasiliy Leonenko
Procedia Computer Science. January 2022, 212
Surrogate models provide new insights on metrics based on blood flow for the assessment of left ventricular function
  • Dario Collia
  • Giulia Libero
  • Gianni Pedrizzetti
  • Valentina Ciriello
Scientific Reports. January 2022, 12(1)
Reducing Geometric Uncertainty in Computational Hemodynamics by Deep Learning-Assisted Parallel-Chain MCMC
  • Pan Du
  • Jian-Xun Wang
Journal of Biomechanical Engineering. January 2022, 144(12)
Surgical Planning and Optimization of Patient-Specific Fontan Grafts With Uncertain Post-Operative Boundary Conditions and Anastomosis Displacement
  • Xiaolong Liu
  • Narutoshi Hibino
  • Yue-Hin Loke
  • Byeol Kim
  • Paige Mass
  • Mark D. Fuge
  • Laura Olivieri
  • Axel Krieger
IEEE Transactions on Biomedical Engineering. January 2022, 69(11)
Computational Modeling of Blood Flow Hemodynamics for Biomechanical Investigation of Cardiac Development and Disease
  • Huseyin Enes Salman
  • Huseyin Cagatay Yalcin
Journal of Cardiovascular Development and Disease. January 2021, 8(2)
Engineering Perspective on Cardiovascular Simulations of Fontan Hemodynamics: Where Do We Stand with a Look Towards Clinical Application
  • Zhenglun Alan Wei
  • Mark A. Fogel
Cardiovascular Engineering and Technology. January 2021, 12(6)
Global Sensitivity Analysis for Patient-Specific Aortic Simulations: The Role of Geometry, Boundary Condition and Large Eddy Simulation Modeling Parameters
  • Huijuan Xu
  • Davide Baroli
  • Alessandro Veneziani
Journal of Biomechanical Engineering. January 2021, 143(2)
Fundamental Concept of Uncertainty Quantification for Numerical Simulation
  • まり 大島
Iryou kikigaku (The Japanese journal of medical instrumentation). January 2021, 91(4)
Preliminary uncertainty and sensitivity analysis of the Molten Salt Fast Reactor steady-state using a Polynomial Chaos Expansion method
  • Mario Santanoceto
  • Marco Tiberga
  • Zoltán Perkó
  • Sandra Dulla
  • Danny Lathouwers
Annals of Nuclear Energy. January 2021, 159
Model order reduction of flow based on a modular geometrical approximation of blood vessels
  • Luca Pegolotti
  • Martin R. Pfaller
  • Alison L. Marsden
  • Simone Deparis
Computer Methods in Applied Mechanics and Engineering. January 2021, 380
Uncertainty quantification in game theory
  • Eduardo Souza de Cursi
Chaos, Solitons & Fractals. January 2021, 143
A probabilistic and anisotropic failure metric for ascending thoracic aortic aneurysm risk assessment
  • Minliang Liu
  • Liang Liang
  • Qing Zou
  • Yasmeen Ismail
  • Xiaoying Lou
  • Glen Iannucci
  • Edward P. Chen
  • Bradley G. Leshnower
  • John A. Elefteriades
  • Wei Sun
Journal of the Mechanics and Physics of Solids. January 2021, 155
Artificial intelligence velocimetry and microaneurysm-on-a-chip for three-dimensional analysis of blood flow in physiology and disease
  • Shengze Cai
  • He Li
  • Fuyin Zheng
  • Fang Kong
  • Ming Dao
  • George Em Karniadakis
  • Subra Suresh
Proceedings of the National Academy of Sciences. January 2021, 118(13)
Application of physics-based flow models in cardiovascular medicine: Current practices and challenges
  • M. Vardhan
  • A. Randles
Biophysics Reviews. January 2021, 2(1)
A minimally invasive, efficient method for propagation of full‐field uncertainty in solid dynamics
  • Reese E. Jones
  • Michael T. Redle
  • Hemanth Kolla
  • Julia A. Plews
International Journal for Numerical Methods in Engineering. January 2021, 122(23)
Uncertainty propagation and sensitivity analysis: results from the Ocular Mathematical Virtual Simulator
  • Christophe Prud'homme
  • Lorenzo Sala
  • Marcela Szopos
Mathematical Biosciences and Engineering. January 2021, 18(3)
Advanced Dimension-Adaptive Sparse Grid Integration Method for Structural Reliability Analysis
  • Xiaohui Yu
  • Zihan He
  • Chao-Lie Ning
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. January 2021, 7(3)
Hemodynamics and stresses in numerical simulations of the thoracic aorta: Stochastic sensitivity analysis to inlet flow-rate waveform
  • A. Mariotti
  • A. Boccadifuoco
  • S. Celi
  • M.V. Salvetti
Computers & Fluids. January 2021, 230
Geometric uncertainty in patient-specific cardiovascular modeling with convolutional dropout networks
  • Gabriel D. Maher
  • Casey M. Fleeter
  • Daniele E. Schiavazzi
  • Alison L. Marsden
Computer Methods in Applied Mechanics and Engineering. January 2021, 386
Greedy maximin distance sampling based model order reduction of prestressed and parametrized abdominal aortic aneurysms
  • Alexander Schein
  • Michael W. Gee
Advanced Modeling and Simulation in Engineering Sciences. January 2021, 8(1)
Propagation of uncertainty in the mechanical and biological response of growing tissues using multi-fidelity Gaussian process regression
  • Taeksang Lee
  • Ilias Bilionis
  • Adrian Buganza Tepole
Computer Methods in Applied Mechanics and Engineering. January 2020, 359
Quantifying atrial anatomy uncertainty from clinical data and its impact on electro-physiology simulation predictions
  • Cesare Corrado
  • Orod Razeghi
  • Caroline Roney
  • Sam Coveney
  • Steven Williams
  • Iain Sim
  • Mark O’Neill
  • Richard Wilkinson
  • Jeremy Oakley
  • Richard H. Clayton
  • Steven Niederer
Medical Image Analysis. January 2020, 61
Propagating uncertainties in large-scale hemodynamics models via network uncertainty quantification and reduced-order modeling
  • S. Guzzetti
  • L.A. Mansilla Alvarez
  • P.J. Blanco
  • K.T. Carlberg
  • A. Veneziani
Computer Methods in Applied Mechanics and Engineering. January 2020, 358
A Metamodeling Approach for Instant Severity Assessment and Uncertainty Quantification of Iliac Artery Stenoses
  • S. G. H. Heinen
  • K. Gashi
  • D. A. F van den Heuvel
  • J. P. P. M. de Vries
  • F. N. van de Vosse
  • T. Delhaas
  • W. Huberts
Journal of Biomechanical Engineering. January 2020, 142(1)
Uncertainty in model‐based treatment decision support: Applied to aortic valve stenosis
  • Roel Meiburg
  • Wouter Huberts
  • Marcel C. M. Rutten
  • Frans N. van de Vosse
International Journal for Numerical Methods in Biomedical Engineering. January 2020, 36(10)
Hemodynamics of Cerebral Aneurysms: Connecting Medical Imaging and Biomechanical Analysis
  • Vitaliy L. Rayz
  • Aaron A. Cohen-Gadol
Annual Review of Biomedical Engineering. January 2020, 22(1)
COLLOCATING VOLATILITY: A COMPETITIVE ALTERNATIVE TO STOCHASTIC LOCAL VOLATILITY MODELS
  • ANTHONIE W. VAN DER STOEP
  • LECH A. GRZELAK
  • CORNELIS W. OOSTERLEE
International Journal of Theoretical and Applied Finance. January 2020, 23(06)
A bi-fidelity surrogate modeling approach for uncertainty propagation in three-dimensional hemodynamic simulations
  • Han Gao
  • Xueyu Zhu
  • Jian-Xun Wang
Computer Methods in Applied Mechanics and Engineering. January 2020, 366
Computational prediction of hemodynamical and biomechanical alterations induced by aneurysm dilatation in patient‐specific ascending thoracic aortas
  • Raja Jayendiran
  • Francesca Condemi
  • Salvatore Campisi
  • Magalie Viallon
  • Pierre Croisille
  • Stéphane Avril
International Journal for Numerical Methods in Biomedical Engineering. January 2020, 36(6)
The effects of clinically‐derived parametric data uncertainty in patient‐specific coronary simulations with deformable walls
  • Jongmin Seo
  • Daniele E. Schiavazzi
  • Andrew M. Kahn
  • Alison L. Marsden
International Journal for Numerical Methods in Biomedical Engineering. January 2020, 36(8)
Physics driven real-time blood flow simulations
  • Sethuraman Sankaran
  • David Lesage
  • Rhea Tombropoulos
  • Nan Xiao
  • Hyun Jin Kim
  • David Spain
  • Michiel Schaap
  • Charles A. Taylor
Computer Methods in Applied Mechanics and Engineering. January 2020, 364
Reducing the impact of geometric errors in flow computations using velocity measurements
  • David Nolte
  • Cristóbal Bertoglio
International Journal for Numerical Methods in Biomedical Engineering. January 2019, 35(6)
An Evolve-Filter-Relax Stabilized Reduced Order Stochastic Collocation Method for the Time-Dependent Navier--Stokes Equations
  • M. Gunzburger
  • T. Iliescu
  • M. Mohebujjaman
  • M. Schneier
SIAM/ASA Journal on Uncertainty Quantification. January 2019, 7(4)
Machine learning in drug development: Characterizing the effect of 30 drugs on the QT interval using Gaussian process regression, sensitivity analysis, and uncertainty quantification
  • Francisco Sahli Costabal
  • Kristen Matsuno
  • Jiang Yao
  • Paris Perdikaris
  • Ellen Kuhl
Computer Methods in Applied Mechanics and Engineering. January 2019, 348
Uncertainty propagation in simulation predictions of generalized Newtonian fluid flows
  • Jaekwang Kim
  • Piyush K. Singh
  • Jonathan B. Freund
  • Randy H. Ewoldt
Journal of Non-Newtonian Fluid Mechanics. January 2019, 271
Multi-fidelity uncertainty quantification method with application to nonlinear structural response analysis
  • Qiang Yang
  • Songhe Meng
  • Hua Jin
  • Weihua Xie
  • Xinghong Zhang
Applied Mathematical Modelling. January 2019, 75
Uncertainty Quantification in high-density fluid radial-inflow turbines for renewable low-grade temperature cycles
  • Aihong Zou
  • Jean-Camille Chassaing
  • Rodney Persky
  • YuanTong Gu
  • Emilie Sauret
Applied Energy. January 2019, 241
Uncertainty quantification of simulated biomechanical stimuli in coronary artery bypass grafts
  • Justin S. Tran
  • Daniele E. Schiavazzi
  • Andrew M. Kahn
  • Alison L. Marsden
Computer Methods in Applied Mechanics and Engineering. January 2019, 345
One-dimensional modeling of fractional flow reserve in coronary artery disease: Uncertainty quantification and Bayesian optimization
  • Minglang Yin
  • Alireza Yazdani
  • George Em Karniadakis
Computer Methods in Applied Mechanics and Engineering. January 2019, 353
Benchmark for Numerical Models of Stented Coronary Bifurcation Flow
  • P. García Carrascal
  • J. García García
  • J. Sierra Pallares
  • F. Castro Ruiz
  • F. J. Manuel Martín
Journal of Biomechanical Engineering. January 2018, 140(9)
  • Online ISSN 1528-8951
  • Print ISSN 0148-0731

ASME Journals

ASME Conference Proceedings

ASME eBooks

Resources

Opportunities

  • Crossref Logo
  • Crossref Open Funder Registry Logo
  • Crossref Open Cited-By Logo
  • Crossref Crossmark Logo
  • Crossref Similarity Check Logo
  • Chorus Logo
  • Counter Logo
  • Cope Logo
  • STM Logo
Copyright © 2024 The American Society of Mechanical Engineers
Close Modal
This Feature Is Available To Subscribers Only

or Create an Account

Close Modal
Close Modal
This site uses cookies. By continuing to use our website, you are agreeing to our privacy policy.
Accept