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Alison L. Marsden
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2020 – today
- 2024
- [j14]Luca Pegolotti, Martin R. Pfaller, Natalia L. Rubio, Ke Ding, Rita Brugarolas Brufau, Eric Darve, Alison L. Marsden:
Learning reduced-order models for cardiovascular simulations with graph neural networks. Comput. Biol. Medicine 168: 107676 (2024) - [j13]Fanwei Kong, Sascha Stocker, Perry S. Choi, Michael R. Ma, Daniel B. Ennis, Alison L. Marsden:
SDF4CHD: Generative modeling of cardiac anatomies with congenital heart defects. Medical Image Anal. 97: 103293 (2024) - [j12]Jonathan Pham, Fanwei Kong, Doug L. James, Alison L. Marsden:
Virtual Shape-Editing of Patient-Specific Vascular Models Using Regularized Kelvinlets. IEEE Trans. Biomed. Eng. 71(6): 1913-1925 (2024) - [i21]Natalia L. Rubio, Luca Pegolotti, Martin R. Pfaller, Eric F. Darve, Alison L. Marsden:
Hybrid Physics-Based and Data-Driven Modeling of Vascular Bifurcation Pressure Differences. CoRR abs/2402.15651 (2024) - [i20]Martin R. Pfaller, Marcos Latorre, Erica L. Schwarz, Fannie M. Gerosa, Jason M. Szafron, Jay D. Humphrey, Alison L. Marsden:
FSGe: A fast and strongly-coupled 3D fluid-solid-growth interaction method. CoRR abs/2404.13523 (2024) - [i19]Jakob Richter, Jonas Nitzler, Luca Pegolotti, Karthik Menon, Jonas Biehler, Wolfgang A. Wall, Daniele E. Schiavazzi, Alison L. Marsden, Martin R. Pfaller:
Bayesian Windkessel calibration using optimized 0D surrogate models. CoRR abs/2404.14187 (2024) - [i18]Andrea Zanoni, Gianluca Geraci, Matteo Salvador, Alison L. Marsden, Daniele E. Schiavazzi:
NeurAM: nonlinear dimensionality reduction for uncertainty quantification through neural active manifolds. CoRR abs/2408.03534 (2024) - [i17]Matteo Salvador, Alison L. Marsden:
Liquid Fourier Latent Dynamics Networks for fast GPU-based numerical simulations in computational cardiology. CoRR abs/2408.09818 (2024) - [i16]Karthik Menon, Andrea Zanoni, Owais Khan, Gianluca Geraci, Koen Nieman, Daniele E. Schiavazzi, Alison L. Marsden:
Personalized and uncertainty-aware coronary hemodynamics simulations: From Bayesian estimation to improved multi-fidelity uncertainty quantification. CoRR abs/2409.02247 (2024) - 2023
- [c13]Priya J. Nair, Martin R. Pfaller, Seraina Anne Dual, Michael Loecher, Doff B. McElhinney, Daniel B. Ennis, Alison L. Marsden:
Hemodynamics in Patients with Aortic Coarctation: A Comparison of in vivo 4D-Flow MRI and FSI Simulation. FIMH 2023: 515-523 - [c12]Fanwei Kong, Alison L. Marsden:
Type and Shape Disentangled Generative Modeling for Congenital Heart Defects. STACOM@MICCAI 2023: 196-208 - [i15]Luca Pegolotti, Martin R. Pfaller, Natalia L. Rubio, Ke Ding, Rita Brugarolas Brufau, Eric Darve, Alison L. Marsden:
Learning Reduced-Order Models for Cardiovascular Simulations with Graph Neural Networks. CoRR abs/2303.07310 (2023) - [i14]Erica L. Schwarz, Martin R. Pfaller, Jason M. Szafron, Marcos Latorre, Stephanie E. Lindsey, Christopher K. Breuer, Jay D. Humphrey, Alison L. Marsden:
A Fluid-Solid-Growth Solver for Cardiovascular Modeling. CoRR abs/2306.08732 (2023) - [i13]Matteo Salvador, Alison Lesley Marsden:
Branched Latent Neural Operators. CoRR abs/2308.02599 (2023) - [i12]Aaron L. Brown, Matteo Salvador, Lei Shi, Martin R. Pfaller, Zinan Hu, Kaitlin E. Harold, Tzung K. Hsiai, Vijay Vedula, Alison L. Marsden:
A Modular Framework for Implicit 3D-0D Coupling in Cardiac Mechanics. CoRR abs/2310.13780 (2023) - [i11]Fanwei Kong, Sascha Stocker, Perry S. Choi, Michael R. Ma, Daniel B. Ennis, Alison L. Marsden:
SDF4CHD: Generative Modeling of Cardiac Anatomies with Congenital Heart Defects. CoRR abs/2311.00332 (2023) - [i10]John D. Lee, Jakob Richter, Martin R. Pfaller, Jason M. Szafron, Karthik Menon, Andrea Zanoni, Michael R. Ma, Jeffrey A. Feinstein, Jacqueline Kreutzer, Alison L. Marsden, Daniele E. Schiavazzi:
A Probabilistic Neural Twin for Treatment Planning in Peripheral Pulmonary Artery Stenosis. CoRR abs/2312.00854 (2023) - 2022
- [j11]Chi Zhu, Vijay Vedula, David W. Parker, Nathan M. Wilson, Shawn C. Shadden, Alison L. Marsden:
svFSI: A Multiphysics Package for Integrated Cardiac Modeling. J. Open Source Softw. 7(78): 4118 (2022) - [c11]Justin Tran, Eroma Abeysinghe, John F. LaDisa Jr., Alison L. Marsden, Marlon E. Pierce:
SimVascular Gateway for Education and Research. PEARC 2022: 73:1-73:4 - [i9]Jonathan Pham, Sofia Wyetzner, Martin R. Pfaller, David W. Parker, Doug L. James, Alison L. Marsden:
svMorph: Interactive geometry-editing tools for virtual patient-specific vascular anatomies. CoRR abs/2210.07087 (2022) - 2021
- [j10]Noelia Grande Gutiérrez, Mark S. Alber, Andrew M. Kahn, Jane C. Burns, Mathew Mathew, Brian W. McCrindle, Alison L. Marsden:
Computational modeling of blood component transport related to coronary artery thrombosis in Kawasaki disease. PLoS Comput. Biol. 17(9) (2021) - [c10]Judith Zimmermann, Kathrin Bäumler, Michael Loecher, Tyler E. Cork, Fikunwa O. Kolawole, Kyle Gifford, Alison L. Marsden, Dominik Fleischmann, Daniel B. Ennis:
Quantitative Hemodynamics in Aortic Dissection: Comparing in Vitro MRI with FSI Simulation in a Compliant Model. FIMH 2021: 575-586 - [i8]Martin R. Pfaller, Jonathan Pham, Nathan M. Wilson, David W. Parker, Alison L. Marsden:
On the periodicity of cardiovascular fluid dynamics simulations. CoRR abs/2102.00107 (2021) - [i7]Martin R. Pfaller, Jonathan Pham, Aekaansh Verma, Nathan M. Wilson, David W. Parker, Weiguang Yang, Alison L. Marsden:
Automated generation of 0D and 1D reduced-order models of patient-specific blood flow. CoRR abs/2111.04878 (2021) - 2020
- [i6]Ju Liu, Ingrid S. Lan, Oguz Z. Tikenogullari, Alison L. Marsden:
A note on the accuracy of the generalized-α scheme for the incompressible Navier-Stokes equations. CoRR abs/2002.01098 (2020) - [i5]Ju Liu, Weiguang Yang, Ingrid S. Lan, Alison L. Marsden:
Fluid-structure interaction modeling of blood flow in the pulmonary arteries using the unified continuum and variational multiscale formulation. CoRR abs/2002.01525 (2020) - [i4]Gabriel D. Maher, Casey Fleeter, Daniele Schiavazzi, Alison L. Marsden:
Geometric Uncertainty in Patient-Specific Cardiovascular Modeling with Convolutional Dropout Networks. CoRR abs/2009.07395 (2020) - [i3]Luca Pegolotti, Martin R. Pfaller, Alison L. Marsden, Simone Deparis:
Model order reduction of flow based on a modular geometrical approximation of blood vessels. CoRR abs/2010.00285 (2020)
2010 – 2019
- 2019
- [j9]Ju Liu, Alison L. Marsden:
A robust and efficient iterative method for hyper-elastodynamics with nested block preconditioning. J. Comput. Phys. 383: 72-93 (2019) - [j8]Gabriel D. Maher, Nathan M. Wilson, Alison L. Marsden:
Accelerating cardiovascular model building with convolutional neural networks. Medical Biol. Eng. Comput. 57(10): 2319-2335 (2019) - [i2]Ju Liu, Weiguang Yang, Melody Dong, Alison L. Marsden:
The nested block preconditioning technique for the incompressible Navier-Stokes equations with emphasis on hemodynamic simulations. CoRR abs/1911.10814 (2019) - 2018
- [j7]Vijay Vedula, Juhyun Lee, Hao Xu, C.-C. Jay Kuo, Tzung K. Hsiai, Alison L. Marsden:
Correction: A method to quantify mechanobiologic forces during zebrafish cardiac development using 4-D light sheet imaging and computational modeling. PLoS Comput. Biol. 14(9) (2018) - [c9]Nathan M. Wilson, Suresh Marru, Eroma Abeysinghe, Marcus A. Christie, Gabriel D. Maher, Adam R. Updegrove, Marlon E. Pierce, Alison L. Marsden:
Using a Science Gateway to Deliver SimVascular Software as a Service for Classroom Instruction. PEARC 2018: 102:1-102:4 - 2017
- [j6]Vijay Vedula, Juhyun Lee, Hao Xu, C.-C. Jay Kuo, Tzung K. Hsiai, Alison L. Marsden:
A method to quantify mechanobiologic forces during zebrafish cardiac development using 4-D light sheet imaging and computational modeling. PLoS Comput. Biol. 13(10) (2017) - [c8]Craig J. Goergen, Shawn C. Shadden, Alison L. Marsden:
SimVascular as an instructional tool in the classroom. FIE 2017: 1-4 - 2016
- [c7]Jameson Tyler Merkow, Alison L. Marsden, David J. Kriegman, Zhuowen Tu:
Dense Volume-to-Volume Vascular Boundary Detection. MICCAI (3) 2016: 371-379 - [i1]Jameson Tyler Merkow, David J. Kriegman, Alison L. Marsden, Zhuowen Tu:
Dense Volume-to-Volume Vascular Boundary Detection. CoRR abs/1605.08401 (2016) - 2015
- [c6]Kathleen Gilbert, Genevieve Farrar, Brett R. Cowan, Avan Suinesiaputra, Christopher Occleshaw, Beau Pontre, James C. Perry, Sanjeet Hegde, Alison L. Marsden, Jeffrey H. Omens, Andrew D. McCulloch, Alistair A. Young:
Creating shape templates for patient specific biventricular modeling in congenital heart disease. EMBC 2015: 679-682 - [c5]Jameson Tyler Merkow, Zhuowen Tu, David J. Kriegman, Alison L. Marsden:
Structural Edge Detection for Cardiovascular Modeling. MICCAI (3) 2015: 735-742 - 2013
- [j5]Mahdi Esmaily Moghadam, Irene E. Vignon-Clementel, Richard Figliola, Alison L. Marsden:
A modular numerical method for implicit 0D/3D coupling in cardiovascular finite element simulations. J. Comput. Phys. 244: 63-79 (2013) - [c4]Mahdi Esmaily-Moghadam, Yuri Bazilevs, Alison L. Marsden:
Low entropy data mapping for sparse iterative linear solvers. XSEDE 2013: 2:1-2:4 - 2012
- [j4]Timothy J. Gundert, Alison L. Marsden, Weiguang Yang, David S. Marks, John F. LaDisa Jr.:
Identification of Hemodynamically Optimal Coronary Stent Designs Based on Vessel Caliber. IEEE Trans. Biomed. Eng. 59(7): 1992-2002 (2012) - [c3]Jing Xie, Peter I. Frazier, Sethuraman Sankaran, Alison L. Marsden, Saleh Elmohamed:
Optimization of computationally expensive simulations with Gaussian processes and parameter uncertainty: Application to cardiovascular surgery. Allerton Conference 2012: 406-413 - [c2]Gregory Long, Han Suk Kim, Alison L. Marsden, Yuri Bazilevs, Jürgen P. Schulze:
Immersive volume rendering of blood vessels. ERVR 2012: 82890L - [c1]Yuri Bazilevs, Alison L. Marsden, Francesco Lanza di Scalea, Amit Majumdar, Mahidhar Tatineni:
Toward a Computational Steering Framework for Large-Scale Composite Structures Based on Continually and Dynamically Injected Sensor Data. ICCS 2012: 1149-1158 - 2011
- [j3]Lutz Lesshafft, Eckart Meiburg, Ben Kneller, Alison L. Marsden:
Towards inverse modeling of turbidity currents: The inverse lock-exchange problem. Comput. Geosci. 37(4): 521-529 (2011) - 2010
- [j2]Sethuraman Sankaran, Charles Audet, Alison L. Marsden:
A method for stochastic constrained optimization using derivative-free surrogate pattern search and collocation. J. Comput. Phys. 229(12): 4664-4682 (2010)
2000 – 2009
- 2008
- [j1]Matthias Ihme, Alison L. Marsden, Heinz Pitsch:
Generation of Optimal Artificial Neural Networks Using a Pattern Search Algorithm: Application to Approximation of Chemical Systems. Neural Comput. 20(2): 573-601 (2008)
Coauthor Index
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last updated on 2024-10-22 20:10 CEST by the dblp team
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